@ ffbcb706:b0574044

Markdown test italic bold in openletter Nostr https://openletter.earth/ Have a great day

@ e83b66a8:b0526c2b

I’m going to talk about Ethereum, hear me out.

Ethereum is a Turing complete consensus blockchain tokenised by its own currency Ether.

This idea by Vitalik Buterin was incredibly compelling and still is today, even though few real world use cases have emerged.

For example, as a company, I could pay a carbon tax in Ether, locked into a smart contract. If the temperate rises by more than “n” degrees year on year based on a known agreed external (blind) oracle, say a weather station located near my factory.

Fantastic, we now have an automatic climate tax.

In reality, few realistic applications exist, however the idea is very compelling and many flocked to Ethereum as a promise of the future. This inflated its utility token “Ether” into stratospherically high prices.

This, in turn, attracted speculative investors and traders only looking at the price signal of the token and no longer considering the utility. This created a bubble which has gradually deflated over time.

This is why we are seeing Bitcoin, which only attempts to be money, succeed relative to Ethereum.

As Ethereum fails, and Bitcoin development strides on, an opportunity arises to try to do what Ethereum and all the other related altcoins have so far failed to do. Computational utility. And to do this on Bitcoin, the most successful “Crypto”.

The first unintended hijack of Ethereums utility are the JPEGs we are seeing on our blockchain.

This latest drive to make Bitcoin Turing complete is potentially the final destination for developers keen to explore the potential of Bitcoins eco-system.

Perhaps Bitcoin is going to absorb all the altcoins. Perhaps that is the goal of Bitcoins developers.

I don’t comment whether this is good or bad, I’m just exploring whether this may be the agenda.

@ bbef5093:71228592

*Holtec új atomenergetikai együttműködése Utah államban*

Az amerikai Holtec International stratégiai megállapodást kötött Utah állammal és a Hi Tech Solutions nukleáris szolgáltatóval, hogy elősegítse saját fejlesztésű, SMR-300 típusú kis moduláris reaktorainak (SMR) telepítését Utahban és az Egyesült Államok Mountain West régiójában. A megállapodás értelmében 2028-ig állandó képzési központot hoznak létre Utahban, amely az üzemeltetéshez, karbantartáshoz és az új generációs nukleáris technológiákhoz szükséges munkaerő képzését célozza, szoros együttműködésben helyi egyetemekkel, főiskolákkal és szakiskolákkal.

A projekt Utah állam energetikai stratégiájának („Operation Gigawatt” és „Built Here”) része, amely a következő tíz évben megduplázná az állam energiatermelését, kiemelt szerepet szánva a tiszta nukleáris energiának. A Holtec Utah-t választotta nyugati gyártóbázisának is, ezzel erősítve az amerikai nukleáris ellátási láncot és hosszú távú munkahelyeket teremtve. A cég a 2030-as években akár 4 GW összkapacitású SMR-300 telepítését tervezi főként Utahban és Wyomingban.

Az SMR-300 egy nyomottvizes reaktor, amely 300 MW villamos vagy 1050 MW hőteljesítményt biztosít, és a Holtec tervei szerint kulcsszerepet játszhat a tiszta, szén-dioxid-mentes energiatermelésben.

*Amerikai SMR-piac helyzete*

Az SMR-technológia az utóbbi években került a figyelem középpontjába, mivel gyorsabban és olcsóbban telepíthető, mint a hagyományos atomerőművek, és lehetőséget kínál magánbefektetők számára is. Ugyanakkor az első amerikai SMR-projekt, a NuScale és a Utah Associated Municipal Power Systems közös beruházása költségnövekedés miatt meghiúsult, ami rávilágított a technológia gazdasági kihívásaira.

Nemzetközi fejlemények és további hírek

• Az ausztrál Okapi Resources és az Urenco együttműködési megállapodást kötött új urán dúsítási technológia fejlesztésére, amely tisztább és olcsóbb dúsítási eljárást ígér.
• Az Argonne National Laboratory sikeresen kicserélt egy 30 éves kulcsfontosságú alkatrészt a nátriumhűtésű gyorsreaktor-tesztberendezésében, ami hozzájárulhat a gyorsreaktor-technológia fejlesztéséhez az Egyesült Államokban.
• A Tennessee Egyetem ösztöndíjprogramot indít a Fülöp-szigeteki nukleáris szakemberek képzésére, támogatva ezzel a délkelet-ázsiai ország nukleáris energiafejlesztési törekvéseit.
• Bulgáriában a Westinghouse Electric Company helyi beszállítókkal kötött megállapodásokat két új AP1000 típusú reaktor építéséhez a kozloduji atomerőműben.

@ 5188521b:008eb518

Macaron returns, fluffs his white linen napkin, and takes his seat at their table, “Thank you, John, for extending my French people such great mercy as to be allowed to transact freely on the Bitcoin blockchain.” He extends his arm out towards a waiter, “Monsieur? Champagne for the three of us please!”

Vrrrm! “I can’t believe we were able to find an American Mustang in this French countryside. I am ripping down these narrow roads!” John celebrates.

“Bloody hell, slow down!” Lily begs as her oversized diamond dangle earrings sway side to side. “You’ve got nothing to prove, John. Big man in your yankee ten-gallon hat. Let’s just get there safely.”

John slows to give her a smoldering look, “Aww, my sweet British compatriot, you care about me!”

“Bollocks! I care about not dying!” Lily retorts. “Now focus on the mission. We need to save a boatload of English border collies — literally. Frenchman Macaron wants to groom them into French poodles!”

John wags a finger off the wheel to reply in his Southern drawl, “However, my sweet Lily flower, my US Hash Force intends to project power to coerce the French for the dogs’ release!”

Lily bats his finger away, “Yes, but may I remind you, my arrogant wanker, geographically challenged friend, MI6’s intel says to steadily power on any miners as His Majesty’s Hash Force may do. The border collies’ barge will take about an hour to flee France, cross the English channel, and safely reach our shores so we don’t want to burst their souffle too quickly. Oh, and the barge is armed with explosives controlled by a remote detonator. When Macaron asks for his bitcoin ransom payment in exchange for the dogs’ release, how do you cowboys plan to help from across the pond?”

John takes both hands off the wheel to flex his biceps, “Shock and awe, Lily. Full Throttle! We’re not giving the French a single sat. Instead, we’re diverting maximum energy to the U.S. Hash Force, of course!”

Lily guffaws, “And where is this sudden surge of readily available power supposed to come from undetected?”

“No need to worry my English crumpet! Our back of the envelope calculations suggest that, with a little help from the Texas of the North, there’s enough flared natural gas in the U.S. to run the entire Bitcoin network!” John proudly replies.

Lily’s jaw drops, “So miners have already stealthily built out the infrastructure to capture wasted natural gas flares for the benefit of the U.S. government, but are waiting to turn them on until commanded to by the U.S. Hash Force?!”

“Yup! As soon as Macaron sees our hash power come online, we’re going to try to start mining blocks on the Bitcoin network to Denial of Service (DOS) attack any UTXOs with a known history of French transactions.”

“A DOS attack, for peace?” Lily asks skeptically.

“Peace through strength, baby! If you don’t comply with America’s dog rights standards, you get censored. America saves British dogs again, and without a single shot fired!”

“Not fair! It’s only because our MI6 chainanalysis intel knows which Bitcoin addresses to censor on the blockchain we suspect belong to Macaron and his government that this plan even has a shot at succeeding. You’re lucky Macaron is even more self-assured than you Americans. That’s the only reason France doesn’t have a Hash Force of its own to project power back!”

John pulls the Mustang up to the front of the fancy French restaurant, Chandelier. Lily grabs her green purse that matches her elegant emerald ball gown, and they head inside to meet Macaron.

John and Lily spot Macaron sitting alone at the white linen table closest to the dance floor. He’s tapping his Louis Vuitton snake leather shoes, checking his Chanel watch, and fluffing his floofy black French Hermès beret. The red French ascot spilling out of his black and white blouse looks ridiculous.

John lets out a big sigh, and Macaron stands with open arms, “Lily, John, welcome to France!” Before John can flinch away, Macaron kisses him on both cheeks. He lifts up Lily’s hand for a kiss, “Mademoiselle.”

John raises his hand, “Waiter! I’ll take a bourbon, neat. And make it a double!” John calls out.

Slap!

“Hey, what was that for, Frenchie?” John asks as he rubs his face.

“Rude American, where are your manners?” Macaron asks as he pulls out a hidden red detonator clipped in the folds of his ascot. “Don’t drive me to prematurely push this button and blow up the boat carrying your English doggies! First, send me my bitcoin ransom payment. Then we can celebrate with drinks!” Macaron demands.

“In your dreams, Frenchie!” John presses his finger to his ear, “Uniform, Sierra, Alpha!”

Macaron turns to Lily and scoffs, “What is this rude American man doing, Lily?”

Annoyed, Lily answers, “Check your bitcoin UTXOs. Notice anything?”

Macaron frantically queries his Bitcoin node remotely from his cellphone and breathes a sigh of relief, “Phew. No, I don’t notice anything at all. All of my unspent bitcoin is still under the control of my government’s private key.”

“And it’ll stay that way, too!” John beats his chest. “You mess with the US, and you get the Hash Force! We just secretly doubled the difficulty to mine a block by turning on all of our miners — as many miners as the entire existing Bitcoin network! Now you’ll have to wait twice as long for your French bitcoin transactions to confirm! That is, unless you release the barge of dogs right now!”

Lily drops down to the table and buries her face in her palms to hide her embarrassment.

Flustered, Macaron furiously types out a long text message with the order to release the barge of English Border Collies to cross the English channel. “There, I’ve let the dogs out! Will you two please excuse me for a moment? I have to place a call with my government to confirm we haven’t lost our property rights to spend our bitcoin.

Beaming with pride, John falls back into his chair at the table. “We did it, Lily! Quick, give the command for His Majesty’s Hash Force to power on so we can 51% attack this guy!”

Lily finally stops rubbing her eyes, “John, that isn’t how any of this works!”

“What do you mean?” he asks.

“Within a 2,016 block difficulty adjustment period, doubling the hash power means the global Bitcoin network will mine new blocks twice as fast, not slower! At least, until the 2,016 block period ends and the difficulty adjusts so miners resume taking on average 10 minutes to generate a valid block. And sure, maybe the US has a political incentive to not collect the fees of any transactions of UTXOs with a known French association, but the rest of the network’s miners will happily profit from the sats you leave in the mempool! But most of all, the Bitcoin network is now just twice as secure from attack!”

John’s double bourbon finally arrives at the table. Selfishly focused on his own glass, he doesn’t bother to stop the waiter in case Lily wants to order a drink of her own. He drinks a big gulp, “But if you give the order for His Majesty’s Hash Force to power on, won’t we have over 51% of the hash power of the Bitcoin network? We can write Macaron’s bitcoin out of existence!”

Lily crosses her arms, “Not exactly. It’s not enough to just surpass half the hashrate. We also need to maintain a higher hashrate than the legacy chain to generate more chain weight to then reorg the other chain when we join the legacy network. We would have to be mining this heavier chain in secret, but in one bombastic order you just completely blew apart our whole plan! Now we’d need some sort of massive collusion somehow between existing miners, and some secret stealth miners, to have any power projection.”

John mutters under his breath, “Frenchie’s been gone a long time. Wonder what he’s up to….”

Macaron returns, fluffs his white linen napkin, and takes his seat at their table, “Thank you, John, for extending my French people such great mercy as to be allowed to transact freely on the Bitcoin blockchain.” He extends his arm out towards a waiter, “Monsieur? Champagne for the three of us please!” Macaron turns to John and Lily, “After my phone call, I am in much better spirits. Though I’m bitter you denied paying our bitcoin ransom, I’m grateful you’re furthering the security of the Bitcoin network.”

In his excitement, Macaron leans forward and claps his hands together, “You two are so lucky to be dining with me tonight. You won’t have to drink that sparkling-wine-swill you have in your home countries. Tonight, you’ll get to have proper champagne, from the Champagne region of France — my treat!”

John grunts in disgust, “Macaron, you can order champagne, but I’ve got my bourbon.”

Lily steps on John’s foot, “Ow! What was that for?” John shrieks.

“Aren’t you going to ask me if I want anything?” Lily asks.

“Huh?” John replies confusedly.

Macaron takes Lily’s hand, “Mademoiselle, in addition to champagne, can I get you anything else?”

Lily recoils her hand back, “Gin martini. Shaken, not stirred.”

“Lily, may I ask you another question?” Macaron asks sweetly.

“Bloody hell, what is it, Macaron?” she responds while rolling her eyes.

“Why do I get the feeling that forgetting to ask you what you’d like to drink isn’t the first time John has neglected to ask you what you wanted?”

Lily’s eyes light up as she leans in closer to Macaron, “Why, yes. This isn’t the first time John’s ever disregarded my needs. You know, he’s always only thinking about himself, his own ego, and he never misses a chance to interrupt me—”

“—That’s not true!” John interrupts.

Lily kicks him under the table, “See what I mean?”

Macaron whisks Lily’s hair behind her ear, “You have such beautiful earrings, Lily. Did John buy those for you?”

“No, John never buys me anything.”

“What do you mean?” John protests.

Lily shrugs him off and Macaron leans in closer to Lily to whisper just loud enough for John to hear, “You know, in my country, men like me know how to show a lady respect.”

John stands up and extends out his hand, “C’mon, Lily. I think it’s time I take you out onto the floor for a dance.”

She shakes her head, so he stomps on her feet under the table.

“Ow!” Lily shrieks.

“I insist,” John presses. “They’re playing my song, Don’t Stop Believin’. C’mon!”

On the dance floor, John pulls Lily close to whisper in her ear, “What are you doing? We’ve finished our mission. Let’s ensure the dogs safely cross the English channel and get out of here! The way you’re flirting with him we’ll never leave!”

Lily blushes, “John, are you that blind? If Macaron is suddenly being sweet to us, then he must be scheming something.”

“What’s that supposed to mean?” John shakes his head. “Look, there’s no time to argue. We can’t risk him blowing up the barge as long as he’s got that remote detonator clipped to his ascot! He’s in a jubilant mood for now, but those French can be so melodramatic. We’ve got to get the detonator to ensure the safety of the dogs until they reach safe harbor at your shores.”

John’s box step dancing pace quickens as he looks over to check on Macaron. He spots him placing an order with the waiter and grits his teeth, “He’s pure evil. He was willing to kill the English border collies if he didn’t get ransom payment for not grooming them into French poodles. Only the threat of our Hash Force forced him to comply with our demand for their release!”

Lily breaks away from John to do a twirl on the dance floor; her elegant flowy green dress tries to keep up. She flips her hair and winks at Macaron, “Maybe I should flirt with him some more? After all, he’s so handsome — and he listens to me!”

John stops dancing and stomps his feet.

“Aww, are you jealous, John?” Lily asks.

“Jealous?!”

Lily floats back to John, digs her nails into the back of his neck, and nibbles on his ear as she whispers, “John, you better dip me on this dance floor! Otherwise, I’m going to ask him to draw me like one of his French girls. C’mon John, Don’t stop believin’!”

Ahem Macaron clears his throat, adjusts his detonator-pinned ascot, and taps Lily on the shoulder.

“Mademoiselle, may I have this dance?”

“Oh, certainly,” she replies. “Better than this brute with two left feet!”

John grunts in dissatisfaction and bolts back to the table.

With Macaron distracted dancing with Lily for what feels like an eternity, John defiantly presses his finger to his ear. “MI6 — status report. What’s taking so long?” he mutters under his breath. “I hate seeing this Frenchie dance with an English lass who deserves so much better. It’s driving me crazy!”

“You just gotta distract him from detonation for ten more minutes,” a British accent replies. “Intel shows the puppy barge armed with explosives has almost reached us across the channel, and then we can safely disarm it.”

“USHF, come in,” John queries.

“We’ve got trouble! The global energy grid has spiked along the Asian seaboard, and among the French alps. Looks like a secret French Hash Force we’ve never detected is colluding with the existing Chinese, Japanese, and Tibetan miners!

They’ve stopped including American-linked bitcoin address transactions in their blocks! Can you politely get him to back down? We’ve already played our power-projection show-of-force card!”

“Ok, I’ll do my best to play nice with Frenchie, but no promises!” John cautions. As he watches Lily and Macaron dance with disdain, a waiter approaches him at the table.

“Here you are, monsieur. Your appetizer.”

“Appetizer? I didn’t order an appetizer! All I ordered was this bourbon.”

“I’m sorry monsieur, but the other gentleman of your party insists. He said he offers this delicacy as a gift. A token of appreciation for the mercy demonstrated today by you, the quote Big American Man enquote.”

John looks on the dance floor and sees Macaron give him a nod with a big wiley grin. Lily gives him the “go-ahead” signal, so John pops one of the hot slimy appetizer balls into his mouth.

“Mhmm! These are tastier than Ma’s Frito Pie!” he shouts as Macaron and Lily walk over to join him back at the table. John continues, “These remind me of the Rocky Mountain oysters we have back at home! Of course, I’m grateful they aren’t, if you know what I mean. What are they, anyways?”

“Escargot,” the Frenchman replies, “a local specialty.”

“Escar-what-now?” John asks.

“Snails!” Lily clarifies.

John gags and spits his half-eaten snail onto the floor. He stands up and slams his ten-gallon cowboy hat on the table. “Ok, that’s it! I’ve had enough! Macaron, stop playing nice. We know you’ve activated some secret alliance with the miners on the other side of the globe! What’re you up to?”

“John, don’t upset him! Think about the puppies!” Lily pleads.

“To heck with the puppies! I’m not letting this man stand up a Hash Force to DOS attack us! You hear that, Macaron? You mess with the best, and we’ll use kinetic force against your miners stashed in the caves of the French alps!” Tsk! Tsk! Tsk! Macaron wags his finger, and pulls out the detonator switch clipped to his ascot.

“Silly pompous American, did you forget I still have the detonator? Did you really think I was going to let you get away with rescuing your hideous English border collies? Life is one giant power projection game, and the way nation states survive is by mutually assured preservation. In exchange for taming the unwieldy fur of Tibetan Mastiffs, Chinese Chow Chows, and Japanese Shih-Tzu and Shiba Inus, these countries pledged their miners to our stealthy French Hash Force when we’re in need. Well, thanks to your little stunt, not only did I find the perfect opportunity to project power back at you arrogant Americans, but also dump these hideous dogs given to me onto your barge, so they’re the British Isles’ problem now!”

“But we’ll be overrun by doges!” Lily gasps in horror.

“Yes, Lily! That’s what you get for partnering with John! What do Americans say?” Macaron asks rhetorically. “That’s right, ‘No dogs left behind!’ But most of all, John, I just wanted one last dance with your girlfriend, and to watch you eat snails!” French nasally honking laughing sounds

Lily shouts back, “I’m not his girlfriend!” She pulls a whistle out of her purse and blows it as hard as she can, but it doesn’t make a sound. John looks at her confused, and Macaron honks even harder. The whole restaurant starts to rumble, and the chandeliers sway from the ceiling.

“What’s this!?” Macaron shouts.

Gradually, then suddenly a stampede of bulldogs comes barreling into the dining room, knocking over all the tables, and tackling Macaron! As he falls, the detonator gets knocked into the air, and Lily catches it just before it hits the floor.

John looks at her, bewildered, and stammers, “You…. you let the Bitcoin dogs out??”

“You think you wankers got all the tricks? The English have a few surprises too! Now c’mon, let’s flee out the back in my British Mini Cooper. And this time, I’m driving!”

---

Will Schoellkopf is the author of two books: Bitcoin Girl Save the World and The Bitcoin Dog: Following the Scent to the Bitcoin C++ Source Code. He hosts the Bitcoin podcast It’s So Early! and publishes a weekly newsletter, featuring his favorite Bitcoin Posts of the Week, at realbitcoindog.com. His work has appeared in the anthology 21 Futures: Tales from the Timechain, in print at Bitcoin Magazine, Citadel21, Stackchain Magazine and online at Satoshi’s Journal. Follow him on Nostr and X @realBitcoinDog, or email will@realbitcoindog.com

@ d61f3bc5:0da6ef4a

I remember the first gathering of Nostr devs two years ago in Costa Rica. We were all psyched because Nostr appeared to solve the problem of self-sovereign online identity and decentralized publishing. The protocol seemed well-suited for textual content, but it wasn't really designed to handle binary files, like images or video.

The Problem

When I publish a note that contains an image link, the note itself is resilient thanks to Nostr, but if the hosting service disappears or takes my image down, my note will be broken forever. We need a way to publish binary data without relying on a single hosting provider.

We were discussing how there really was no reliable solution to this problem even outside of Nostr. Peer-to-peer attempts like IPFS simply didn't work; they were hopelessly slow and unreliable in practice. Torrents worked for popular files like movies, but couldn't be relied on for general file hosting.

Awesome Blossom

A year later, I attended the Sovereign Engineering demo day in Madeira, organized by Pablo and Gigi. Many projects were presented over a three hour demo session that day, but one really stood out for me.

Introduced by hzrd149 and Stu Bowman, Blossom blew my mind because it showed how we can solve complex problems easily by simply relying on the fact that Nostr exists. Having an open user directory, with the corresponding social graph and web of trust is an incredible building block.

Since we can easily look up any user on Nostr and read their profile metadata, we can just get them to simply tell us where their files are stored. This, combined with hash-based addressing (borrowed from IPFS), is all we need to solve our problem.

How Blossom Works

The Blossom protocol (Blobs Stored Simply on Mediaservers) is formally defined in a series of BUDs (Blossom Upgrade Documents). Yes, Blossom is the most well-branded protocol in the history of protocols. Feel free to refer to the spec for details, but I will provide a high level explanation here.

The main idea behind Blossom can be summarized in three points:

1. Users specify which media server(s) they use via their public Blossom settings published on Nostr;
2. All files are uniquely addressable via hashes;
3. If an app fails to load a file from the original URL, it simply goes to get it from the server(s) specified in the user's Blossom settings.

Just like Nostr itself, the Blossom protocol is dead-simple and it works!

Let's use this image as an example:

If you look at the URL for this image, you will notice that it looks like this:

blossom.primal.net/c1aa63f983a44185d039092912bfb7f33adcf63ed3cae371ebe6905da5f688d0.jpg

All Blossom URLs follow this format:

[server]/[file-hash].[extension]

The file hash is important because it uniquely identifies the file in question. Apps can use it to verify that the file they received is exactly the file they requested. It also gives us the ability to reliably get the same file from a different server.

Nostr users declare which media server(s) they use by publishing their Blossom settings. If I store my files on Server A, and they get removed, I can simply upload them to Server B, update my public Blossom settings, and all Blossom-capable apps will be able to find them at the new location. All my existing notes will continue to display media content without any issues.

Blossom Mirroring

Let's face it, re-uploading files to another server after they got removed from the original server is not the best user experience. Most people wouldn't have the backups of all the files, and/or the desire to do this work.

This is where Blossom's mirroring feature comes handy. In addition to the primary media server, a Blossom user can set one one or more mirror servers. Under this setup, every time a file is uploaded to the primary server the Nostr app issues a mirror request to the primary server, directing it to copy the file to all the specified mirrors. This way there is always a copy of all content on multiple servers and in case the primary becomes unavailable, Blossom-capable apps will automatically start loading from the mirror.

Mirrors are really easy to setup (you can do it in two clicks in Primal) and this arrangement ensures robust media handling without any central points of failure. Note that you can use professional media hosting services side by side with self-hosted backup servers that anyone can run at home.

Using Blossom Within Primal

Blossom is natively integrated into the entire Primal stack and enabled by default. If you are using Primal 2.2 or later, you don't need to do anything to enable Blossom, all your media uploads are blossoming already.

To enhance user privacy, all Primal apps use the "/media" endpoint per BUD-05, which strips all metadata from uploaded files before they are saved and optionally mirrored to other Blossom servers, per user settings. You can use any Blossom server as your primary media server in Primal, as well as setup any number of mirrors:

## Conclusion

For such a simple protocol, Blossom gives us three major benefits:

1. Verifiable authenticity. All Nostr notes are always signed by the note author. With Blossom, the signed note includes a unique hash for each referenced media file, making it impossible to falsify.
2. File hosting redundancy. Having multiple live copies of referenced media files (via Blossom mirroring) greatly increases the resiliency of media content published on Nostr.
3. Censorship resistance. Blossom enables us to seamlessly switch media hosting providers in case of censorship.

Thanks for reading; and enjoy! 🌸

@ 9c35fe6b:5977e45b

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Comfort Onboard Every Step of the Way Hapi V provides elegant accommodations, fine dining, and attentive service, making your cruise both relaxing and enriching. Whether you're enjoying your cabin’s Nile view or lounging on the sundeck, every moment is designed for your comfort. With All inclusive Egypt vacations, guests enjoy meals, excursions, and guided tours included.

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@ 34f1ddab:2ca0cf7c

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🔒 Privacy is Our Priority\ Your confidentiality matters. Every recovery session is handled with the utmost care, ensuring all processes are encrypted and confidential. You can rest easy, knowing your sensitive information stays private.

💻 Advanced Technology\ Our proprietary tools and brute-force optimization techniques allow for maximum efficiency in recovery. No matter how challenging your case may be, our technology is designed to give you the best chance at getting your crypto back.

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@ 57d1a264:69f1fee1

Album art didn’t always exist. In the early 1900s, recorded music was still a novelty, overshadowed by sales of sheet music. Early vinyl records were vastly different from what we think of today: discs were sold individually and could only hold up to four minutes of music per side. Sometimes, only one side of the record was used. One of the most popular records of 1910, for example, was “Come, Josephine, in My Flying Machine”: it clocked in at two minutes and 39 seconds.

The invention of album art can get lost in the story of technological mastery. But among all the factors that contributed to the rise of recorded music, it stands as one of the few that was wholly driven by creators themselves. Album art — first as marketing material, then as pure creative expression — turned an audio-only medium into a multi-sensory experience.

This is the story of the people who made music visible.

Continue reading

originally posted at https://stacker.news/items/972642

@ 2b24a1fa:17750f64

Eine Kolumne von Michael Sailer, jeden ersten Freitag bei Radio München, nachzulesen auf sailersblog.de.

https://soundcloud.com/radiomuenchen/belastigungen-35-das-ist-nicht-meine-regierung?

@ 57d1a264:69f1fee1

I don’t like garlic. It’s not a dislike for the taste in the moment, so much as an extreme dislike for the way it stays with you—sometimes for days—after a particularly garlicky meal.

Interestingly enough, both of my brothers love garlic. They roast it by itself and keep it at the ready so they can have a very strong garlic profile in their cooking. When I prepare a dish, I don’t even see garlic on the ingredient list. I’ve cut it out of my life so completely that my brain genuinely skips over it in recipes. While my brothers are looking for ways to sneak garlic into everything they make, I’m subconsciously avoiding it altogether.

A few years back, when I was digging intensely into how design systems mature, I stumbled on the concept of a design system origin story. There are two extreme origin stories and an infinite number of possibilities between. On one hand you have the grassroots system, where individuals working on digital products are simply trying to solve their own daily problems. They’re frustrated with having to go cut and paste elements from past designs or with recreating the same layouts over and over, so they start to work more systematically. On the other hand, you have the top down system, where leadership is directing teams to take a more systematic approach, often forming a small partially dedicated core team to tackle some centralized assets and guidelines for all to follow. The influences in those early days bias a design system in interesting and impactful ways.

We’ve established that there are a few types of bias that are either intentionally or unintentionally embedded into our design systems. Acknowledging this is a great first step. But, what’s the impact of this? Does it matter?

I believe there are a few impacts design system biases, but there’s one that stands out. The bias in your design system makes some individuals feel the system is meant for them and others feel it’s not. This is a problem because, a design system cannot live up to it’s expected value until it is broadly in use. If individuals feel your design system is not for them, the won’t use it. And, as you know, it doesn’t matter how good your design system is if nobody is using it.

Continue reading

originally posted at https://stacker.news/items/972641

@ a39d19ec:3d88f61e

Die Debatte um Migration, Grenzsicherung und Abschiebungen wird in Deutschland meist emotional geführt. Wer fordert, dass illegale Einwanderer abgeschoben werden, sieht sich nicht selten dem Vorwurf des Rassismus ausgesetzt. Doch dieser Vorwurf ist nicht nur sachlich unbegründet, sondern verkehrt die Realität ins Gegenteil: Tatsächlich sind es gerade diejenigen, die hinter jeder Forderung nach Rechtssicherheit eine rassistische Motivation vermuten, die selbst in erster Linie nach Hautfarbe, Herkunft oder Nationalität urteilen.

Das Recht steht über Emotionen

Deutschland ist ein Rechtsstaat. Das bedeutet, dass Regeln nicht nach Bauchgefühl oder politischer Stimmungslage ausgelegt werden können, sondern auf klaren gesetzlichen Grundlagen beruhen müssen. Einer dieser Grundsätze ist in Artikel 16a des Grundgesetzes verankert. Dort heißt es:

„Auf Absatz 1 [Asylrecht] kann sich nicht berufen, wer aus einem Mitgliedstaat der Europäischen Gemeinschaften oder aus einem anderen Drittstaat einreist, in dem die Anwendung des Abkommens über die Rechtsstellung der Flüchtlinge und der Europäischen Menschenrechtskonvention sichergestellt ist.“

Das bedeutet, dass jeder, der über sichere Drittstaaten nach Deutschland einreist, keinen Anspruch auf Asyl hat. Wer dennoch bleibt, hält sich illegal im Land auf und unterliegt den geltenden Regelungen zur Rückführung. Die Forderung nach Abschiebungen ist daher nichts anderes als die Forderung nach der Einhaltung von Recht und Gesetz.

Die Umkehrung des Rassismusbegriffs

Wer einerseits behauptet, dass das deutsche Asyl- und Aufenthaltsrecht strikt durchgesetzt werden soll, und andererseits nicht nach Herkunft oder Hautfarbe unterscheidet, handelt wertneutral. Diejenigen jedoch, die in einer solchen Forderung nach Rechtsstaatlichkeit einen rassistischen Unterton sehen, projizieren ihre eigenen Denkmuster auf andere: Sie unterstellen, dass die Debatte ausschließlich entlang ethnischer, rassistischer oder nationaler Kriterien geführt wird – und genau das ist eine rassistische Denkweise.

Jemand, der illegale Einwanderung kritisiert, tut dies nicht, weil ihn die Herkunft der Menschen interessiert, sondern weil er den Rechtsstaat respektiert. Hingegen erkennt jemand, der hinter dieser Kritik Rassismus wittert, offenbar in erster Linie die „Rasse“ oder Herkunft der betreffenden Personen und reduziert sie darauf.

Finanzielle Belastung statt ideologischer Debatte

Neben der rechtlichen gibt es auch eine ökonomische Komponente. Der deutsche Wohlfahrtsstaat basiert auf einem Solidarprinzip: Die Bürger zahlen in das System ein, um sich gegenseitig in schwierigen Zeiten zu unterstützen. Dieser Wohlstand wurde über Generationen hinweg von denjenigen erarbeitet, die hier seit langem leben. Die Priorität liegt daher darauf, die vorhandenen Mittel zuerst unter denjenigen zu verteilen, die durch Steuern, Sozialabgaben und Arbeit zum Erhalt dieses Systems beitragen – nicht unter denen, die sich durch illegale Einreise und fehlende wirtschaftliche Eigenleistung in das System begeben.

Das ist keine ideologische Frage, sondern eine rein wirtschaftliche Abwägung. Ein Sozialsystem kann nur dann nachhaltig funktionieren, wenn es nicht unbegrenzt belastet wird. Würde Deutschland keine klaren Regeln zur Einwanderung und Abschiebung haben, würde dies unweigerlich zur Überlastung des Sozialstaates führen – mit negativen Konsequenzen für alle.

Sozialpatriotismus

Ein weiterer wichtiger Aspekt ist der Schutz der Arbeitsleistung jener Generationen, die Deutschland nach dem Zweiten Weltkrieg mühsam wieder aufgebaut haben. Während oft betont wird, dass die Deutschen moralisch kein Erbe aus der Zeit vor 1945 beanspruchen dürfen – außer der Verantwortung für den Holocaust –, ist es umso bedeutsamer, das neue Erbe nach 1945 zu respektieren, das auf Fleiß, Disziplin und harter Arbeit beruht. Der Wiederaufbau war eine kollektive Leistung deutscher Menschen, deren Früchte nicht bedenkenlos verteilt werden dürfen, sondern vorrangig denjenigen zugutekommen sollten, die dieses Fundament mitgeschaffen oder es über Generationen mitgetragen haben.

Rechtstaatlichkeit ist nicht verhandelbar

Wer sich für eine konsequente Abschiebepraxis ausspricht, tut dies nicht aus rassistischen Motiven, sondern aus Respekt vor der Rechtsstaatlichkeit und den wirtschaftlichen Grundlagen des Landes. Der Vorwurf des Rassismus in diesem Kontext ist daher nicht nur falsch, sondern entlarvt eine selektive Wahrnehmung nach rassistischen Merkmalen bei denjenigen, die ihn erheben.

@ da0b9bc3:4e30a4a9

Hello Stackers!

Welcome on into the ~Music Corner of the Saloon!

A place where we Talk Music. Share Tracks. Zap Sats.

So stay a while and listen.

🚨Don't forget to check out the pinned items in the territory homepage! You can always find the latest weeklies there!🚨

🚨Subscribe to the territory to ensure you never miss a post! 🚨

originally posted at https://stacker.news/items/972645

@ 2183e947:f497b975

Most darknet markets (DNMs) are designed poorly in the following ways:

1. Hosting

Most DNMs use a model whereby merchants fill out a form to create their listings, and the data they submit then gets hosted on the DNM's servers. In scenarios where a "legal" website would be forced to censor that content (e.g. a DMCA takedown order), DNMs, of course, do not obey. This can lead to authorities trying to find the DNM's servers to take enforcement actions against them. This design creates a single point of failure.

A better design is to outsource hosting to third parties. Let merchants host their listings on nostr relays, not on the DNM's server. The DNM should only be designed as an open source interface for exploring listings hosted elsewhere, that way takedown orders end up with the people who actually host the listings, i.e. with nostr relays, and not with the DNM itself. And if a nostr relay DOES go down due to enforcement action, it does not significantly affect the DNM -- they'll just stop querying for listings from that relay in their next software update, because that relay doesn't work anymore, and only query for listings from relays that still work.

2. Moderation

Most DNMs have employees who curate the listings on the DNM. For example, they approve/deny listings depending on whether they fit the content policies of the website. Some DNMs are only for drugs, others are only for firearms. The problem is, to approve a criminal listing is, in the eyes of law enforcement, an act of conspiracy. Consequently, they don't just go after the merchant who made the listing but the moderators who approved it, and since the moderators typically act under the direction of the DNM, this means the police go after the DNM itself.

A better design is to outsource moderation to third parties. Let anyone call themselves a moderator and create lists of approved goods and services. Merchants can pay the most popular third party moderators to add their products to their lists. The DNM itself just lets its users pick which moderators to use, such that the user's choice -- and not a choice by the DNM -- determines what goods and services the user sees in the interface.

That way, the police go after the moderators and merchants rather than the DNM itself, which is basically just a web browser: it doesn't host anything or approve of any content, it just shows what its users tell it to show. And if a popular moderator gets arrested, his list will still work for a while, but will gradually get more and more outdated, leading someone else to eventually become the new most popular moderator, and a natural transition can occur.

3. Escrow

Most DNMs offer an escrow solution whereby users do not pay merchants directly. Rather, during the Checkout process, they put their money in escrow, and request the DNM to release it to the merchant when the product arrives, otherwise they initiate a dispute. Most DNMs consider escrow necessary because DNM users and merchants do not trust one another; users don't want to pay for a product first and then discover that the merchant never ships it, and merchants don't want to ship a product first and then discover that the user never pays for it.

The problem is, running an escrow solution for criminals is almost certain to get you accused of conspiracy, money laundering, and unlicensed money transmission, so the police are likely to shut down any DNM that does this. A better design is to oursource escrow to third parties. Let anyone call themselves an escrow, and let moderators approve escrows just like they approve listings. A merchant or user who doesn't trust the escrows chosen by a given moderator can just pick a different moderator. That way, the police go after the third party escrows rather than the DNM itself, which never touches user funds.

4. Consequences

Designing a DNM along these principles has an interesting consequence: the DNM is no longer anything but an interface, a glorified web browser. It doesn't host any content, approve any listings, or touch any money. It doesn't even really need a server -- it can just be an HTML file that users open up on their computer or smart phone. For two reasons, such a program is hard to take down:

First, it is hard for the police to justify going after the DNM, since there are no charges to bring. Its maintainers aren't doing anything illegal, no more than Firefox does anything illegal by maintaining a web browser that some people use to browse illegal content. What the user displays in the app is up to them, not to the code maintainers. Second, if the police decided to go after the DNM anyway, they still couldn't take it down because it's just an HTML file -- the maintainers do not even need to run a server to host the file, because users can share it with one another, eliminating all single points of failure.

Another consequence of this design is this: most of the listings will probably be legal, because there is more demand for legal goods and services than illegal ones. Users who want to find illegal goods would pick moderators who only approve those listings, but everyone else would use "legal" moderators, and the app would not, at first glance, look much like a DNM, just a marketplace for legal goods and services. To find the illegal stuff that lurks among the abundant legal stuff, you'd probably have to filter for it via your selection of moderators, making it seem like the "default" mode is legal.

5. Conclusion

I think this DNM model is far better than the designs that prevail today. It is easier to maintain, harder to take down, and pushes the "hard parts" to the edges, so that the DNM is not significantly affected even if a major merchant, moderator, or escrow gets arrested. I hope it comes to fruition.

@ a39d19ec:3d88f61e

Nun da das deutsche Bundesregime den Ruin Deutschlands beschlossen hat, der sehr wahrscheinlich mit dem Werkzeug des Geld druckens "finanziert" wird, kamen mir so viele Gedanken zur Geldmengenausweitung, dass ich diese für einmal niedergeschrieben habe.

Die Ausweitung der Geldmenge führt aus klassischer wirtschaftlicher Sicht immer zu Preissteigerungen, weil mehr Geld im Umlauf auf eine begrenzte Menge an Gütern trifft. Dies lässt sich in mehreren Schritten analysieren:

1. Quantitätstheorie des Geldes

Die klassische Gleichung der Quantitätstheorie des Geldes lautet:

M • V = P • Y

wobei:
- M die Geldmenge ist,
- V die Umlaufgeschwindigkeit des Geldes,
- P das Preisniveau,
- Y die reale Wirtschaftsleistung (BIP).

Wenn M steigt und V sowie Y konstant bleiben, muss P steigen – also Inflation entstehen.

2. Gütermenge bleibt begrenzt

Die Menge an real produzierten Gütern und Dienstleistungen wächst meist nur langsam im Vergleich zur Ausweitung der Geldmenge. Wenn die Geldmenge schneller steigt als die Produktionsgütermenge, führt dies dazu, dass mehr Geld für die gleiche Menge an Waren zur Verfügung steht – die Preise steigen.

3. Erwartungseffekte und Spekulation

Wenn Unternehmen und Haushalte erwarten, dass mehr Geld im Umlauf ist, da eine zentrale Planung es so wollte, können sie steigende Preise antizipieren. Unternehmen erhöhen ihre Preise vorab, und Arbeitnehmer fordern höhere Löhne. Dies kann eine sich selbst verstärkende Spirale auslösen.

4. Internationale Perspektive

Eine erhöhte Geldmenge kann die Währung abwerten, wenn andere Länder ihre Geldpolitik stabil halten. Eine schwächere Währung macht Importe teurer, was wiederum Preissteigerungen antreibt.

5. Kritik an der reinen Geldmengen-Theorie

Der Vollständigkeit halber muss erwähnt werden, dass die meisten modernen Ökonomen im Staatsauftrag argumentieren, dass Inflation nicht nur von der Geldmenge abhängt, sondern auch von der Nachfrage nach Geld (z. B. in einer Wirtschaftskrise). Dennoch zeigt die historische Erfahrung, dass eine unkontrollierte Geldmengenausweitung langfristig immer zu Preissteigerungen führt, wie etwa in der Hyperinflation der Weimarer Republik oder in Simbabwe.

@ 21335073:a244b1ad

Please respect Virginia Giuffre’s memory by refraining from asking about the circumstances or theories surrounding her passing.

Since Virginia Giuffre’s death, I’ve reflected on what she would want me to say or do. This piece is my attempt to honor her legacy.

When I first spoke with Virginia, I was struck by her unshakable hope. I had grown cynical after years in the anti-human trafficking movement, worn down by a broken system and a government that often seemed complicit. But Virginia’s passion, creativity, and belief that survivors could be heard reignited something in me. She reminded me of my younger, more hopeful self. Instead of warning her about the challenges ahead, I let her dream big, unburdened by my own disillusionment. That conversation changed me for the better, and following her lead led to meaningful progress.

Virginia was one of the bravest people I’ve ever known. As a survivor of Epstein, Maxwell, and their co-conspirators, she risked everything to speak out, taking on some of the world’s most powerful figures.

She loved when I said, “Epstein isn’t the only Epstein.” This wasn’t just about one man—it was a call to hold all abusers accountable and to ensure survivors find hope and healing.

The Epstein case often gets reduced to sensational details about the elite, but that misses the bigger picture. Yes, we should be holding all of the co-conspirators accountable, we must listen to the survivors’ stories. Their experiences reveal how predators exploit vulnerabilities, offering lessons to prevent future victims.

You’re not powerless in this fight. Educate yourself about trafficking and abuse—online and offline—and take steps to protect those around you. Supporting survivors starts with small, meaningful actions. Free online resources can guide you in being a safe, supportive presence.

When high-profile accusations arise, resist snap judgments. Instead of dismissing survivors as “crazy,” pause to consider the trauma they may be navigating. Speaking out or coping with abuse is never easy. You don’t have to believe every claim, but you can refrain from attacking accusers online.

Society also fails at providing aftercare for survivors. The government, often part of the problem, won’t solve this. It’s up to us. Prevention is critical, but when abuse occurs, step up for your loved ones and community. Protect the vulnerable. it’s a challenging but a rewarding journey.

If you’re contributing to Nostr, you’re helping build a censorship resistant platform where survivors can share their stories freely, no matter how powerful their abusers are. Their voices can endure here, offering strength and hope to others. This gives me great hope for the future.

Virginia Giuffre’s courage was a gift to the world. It was an honor to know and serve her. She will be deeply missed. My hope is that her story inspires others to take on the powerful.

@ a296b972:e5a7a2e8

Zur Gründung der Bundesrepublik Deutschland wurde infolge der Auswirkungen des 2. Weltkriegs auf einem Teil des ehemaligen Deutschen Reiches (nicht des 3. Reiches!) auf Initiative der westlichen Alliierten, federführend die USA als stärkste Kraft, eine  demokratische Grundordnung erarbeitet, die wir als das Grundgesetz für die Bundesrepublik Deutschland kennen und schätzen gelernt haben. Da man zum damaligen Zeitpunkt, im Gegensatz zu heute, noch sehr genau mit der Sprache war, hat das Wort „für“ größere Bedeutung, als ihm heute zugesprochen wird. Hätte der unter westlich-alliierter Besatzung stehende Rumpf des Deutschen Reiches eigenständig eine Verfassung erstellen können, wäre es nicht Grundgesetz (das laut Definition einen provisorischen Charakter hat) genannt worden, sondern eben Verfassung. Und hätte diese Verfassung eigenständig erarbeitet werden können, hätte sie geheißen: Verfassung der Bundesrepublik Deutschland.

Es heißt zum Beispiel auch: Costituzione della Repubblica Italiana. also Konstitution der Republik Italien, und nicht Costituzione per La Repubblica Italiana.

Es ist nachvollziehbar, dass die Bedenken der westlichen Alliierten aufgrund der Nazi-Zeit so groß waren, dass man den „Deutschen“ nicht zutraute, selbständig eine Verfassung zu erstellen.

Zum vorbeugenden Schutz, es sollte verunmöglicht werden, dass ein Regime noch einmal in der Lage sei, die Macht zu ergreifen, wurde als Kontrollinstanz der Verfassungsschutz gegründet. Dieser ist dem Innenministerium gegenüber weisungsgebunden. Die jüngste Aussage, auf den letzten Metern der Innenministerin Faeser, der Verfassungsschutz sei selbständig, ist eine manipulative Beschreibung, die davon ablenken soll, dass das Innenministerium dem Verfassungsschutz sehr wohl übergeordnet ist. Das Wort „selbständig“ soll Eigenständigkeit vorgaukeln, hat aber in der Hierarchie keinerlei Bedeutung.

Im Jahre 1949 herrschte ein anderer Zeitgeist. Werte wie Ehrlichkeit, Redlichkeit und Anständigkeit hatten noch eine andere Bedeutung als heute. Politiker waren noch von einem anderen Schlag und hatten weitgehend den Anspruch zum Wohle des Volkes zu entscheiden und zu handeln. Diese Werte reichten noch mindestens bis in das Agieren des Bundeskanzlers Helmut Schmidt hinein.

Niemand konnte sich deshalb zum damaligen Zeitpunkt vorstellen, dass dieser eigentlich als Kontrollinstanz gedachte Verfassungsschutz einmal von der Politik missbraucht werden könnte, um oppositionelle Kräfte auszuschalten zu versuchen, wie es mit der Einstufung der AfD als gesichert rechtsextrem geschehen ist. Rechtlich hat das noch keine Konsequenzen, aber es geht in erster Linie darum, dem Image der AfD zu schaden, um weiteren Zulauf zu verhindern. Diese Art von Durchtriebenheit kam in den Gedanken und dem Ehrgefühl der damals verantwortlichen Politiker noch nicht vor.

Die ehemaligen Volksparteien, man kann auch sagen, die Alt-Parteien, sehen ihre Felle schon seit einiger Zeit davonschwimmen. Die Opposition hat derzeit die Zustimmung einer ehemaligen Volkspartei überholt und ist sogar stärkste Kraft geworden. Sie repräsentiert aktuell rund 10 Millionen der Wähler. Tendenz steigend. Und das die folglich auch gesichert rechtsextrem gewählt haben, oder gar gesichert rechtsextrem sind, wird ihnen vielleicht nicht besonders schmeicheln.

Parallel dazu haben die Alt-Parteien die Medienlandschaft gekapert und versuchen mit Einschränkungen der Meinungsfreiheit, sofern sich Kritik gegen sie richtet und durch selbstermächtigte Entscheidung über das, was Wahrheit und Lüge ist, unliebsame Stimmen mundtot zu machen, um unter allen Umständen an der Macht zu bleiben.

Diese Vorgehensweise widerspricht dem demokratischen Verständnis, das aus dem, wenn auch „nur“ Grundgesetz, statt Verfassung, hervorgeht und die Nachkriegsgenerationen im besten Sinne beeinflusst und demokratisch geprägt hat.

Aus dieser Sicht können die Aktivitäten der Alt-Parteien nur als Angriff auf die Demokratie, wie sie diese Generationen verstehen, gesehen werden.

Daher führt jeder Angriff der Alt-Parteien auf die Demokratie dazu, dass die Opposition immer mehr an Stimmen gewinnt und wohl weiterhin gewinnen wird.

Es erschließt sich nicht, warum die Alt-Parteien nicht auf die denkbar einfachste Lösung kommen, Vertrauen in ihre Politik zurückzugewinnen, in dem sie eine Politik machen würden, die dem Willen der Bürger entspricht. Mit dem Gegenteil machen sich die Volksvertreter zu Vertretern ohne den Rückhalt vom Volk, und man muss sich fragen, wessen Interessen sie derzeit wirklich vertreten. Bestenfalls die eigenen, schlimmstenfalls die des global agierenden Tiefen Staates, der ihnen ins Ohr flüstert, was sie zu tun haben.

Mit jeder vernunftbegabten Entscheidung, die dem Willen des Souveräns entspräche, würden sie die Opposition zunehmend schwächen. Da dies nicht geschieht, kann man nur zu der Schlussfolgerung kommen, dass sich hier auch selbstzerstörerische, suizidale Kräfte festgesetzt haben. Es ist wie eine Sucht, von der man nicht mehr loslassen kann.

Solange die Alt-Parteien nicht in der Lage sind, die Unzufriedenheit in der Bevölkerung wahr- und ernst zu nehmen, werden sie die Opposition stärken und zu immer rigideren Maßnahmen greifen müssen, um ihre Macht zu erhalten und sich damit immer mehr von demokratischen Verhältnissen entfernen, und zwar genau in die Richtung vor der die Alt-Parteien in ihrer ideologischen Verirrung warnen.

Seitens der Opposition gibt es in der Gesamtschau keine Anzeichen dafür, dass die Demokratie abgeschafft werden soll, im Gegenteil, es wird für mehr Bürgerbeteiligung plädiert, was ein sicheres Merkmal für demokratische Absichten ist.

Aus Sicht der Alt-Parteien macht die Brandmauer Sinn, weil sie sie vor ihrem eigenen Machtverlust schützt. Der Fall der Berliner Mauer sollte ihnen eigentlich eine Warnung sein.

Fairerweise darf nicht unterschlagen werden, dass es in der Opposition einige Verirrte gibt, wobei noch interessant wäre zu erfahren, welche davon als V-Männer des Verfassungsschutzes eingeschleust wurden. Diese jedoch zum Anlass zu nehmen, die Opposition unter Generalverdacht zu stellen, steht einem demokratischen Handeln diametral entgegen.

Das Grundgesetz wird so nicht geschützt, sondern bis kurz vor der Sollbruchstelle verbogen.

Die Einstufung der Opposition als gesichert rechts-extrem beruht auf einem mutmaßlich 1000 Seiten starken Papier, das offensichtlich nur ein erlesener Kreis zu sehen bekommen soll. Dazu gehört nicht die Bevölkerung, die sicher nur einmal mehr nicht zu Teilen verunsichert werden soll. Und selbstverständlich schon gar nicht diejenigen, die es betrifft, nämlich die Opposition.

Eine eindeutige Fragwürdigkeit der Aktivitäten des Verfassungsschutzes wäre schwerer festzustellen, wenn es gleichwohl Parteien gäbe, die als gesichert links-extrem oder zumindest als links-extremer Verdachtsfall eingestuft würden. Nicht ganz unberechtigte Gründe hierfür könnten schon gefunden werden, wenn der politische Wille es wollte.

Auch die seltsam-umstrittene Installierung des Präsidenten des Bundesamtes für Verfassungsschutz (genau genommen für Grundgesetzschutz) lässt Fragen offen.

Generell müsste es eine unabhängige Überprüfung geben, ob die Gewaltenteilung in Deutschland noch gewährleistet ist, da es durch das augenscheinliche Zusammenspiel in der Richterschaft, der Gesetzgebung und der vierten Gewalt, den Medien, Anlass zu Zweifel gibt.

Diese Zweifel sind nicht demokratiegefährdend, sondern im Gegenteil, es ist demokratische Pflicht, den Verantwortlichen kritisch auf die Finger zu schauen, ob im Sinne des Souveräns entschieden und gehandelt wird. Zweifel könnte man dadurch ausräumen, in dem eindeutig bewiesen würde, das alles seine Richtigkeit hat.

Das wäre vornehmlich die Aufgabe der Alt-Medien, die derzeit durch Totalversagen glänzen, weil alles mit allem zusammenhängt, jeder jeden kennt und man es sich über Jahre so eingerichtet hat, dass man gerne unter sich bleibt und Pöstchen-Hüpfen von einem Lager ins andere spielt.

Vielleicht ist es sogar nötig, dass zur unabhängigen Überprüfung, die Alliierten, inklusive Russland, noch einmal, nach rund 80 Jahren, auf den Plan gerufen werden müssen, um sozusagen eine Zwischenbilanz zu ziehen, inwieweit sich das einst etablierte, demokratische System bewährt hat, und ob es derzeit noch im ursprünglichen Sinne umgesetzt und gelebt wird. Es ist anzunehmen, dass hier ein gewaltiges Optimierungspotenzial zum Vorschein kommen könnte.

Viele Bürger in Deutschland haben den Wunsch, wieder in einer Demokratie zu leben, die ihre Namen auch verdient hat. Sie wollen wieder frei ihre Meinung jeglicher Art aussprechen können, miteinander diskutieren, auch einmal Unsinn reden, ohne, dass sie der Blockwart gleich bei einem Denunzierungsportal anschwärzt, oder sie Gefahr laufen, dass ihr Konto gekündigt wird, oder sie morgens um 6 Uhr Besuch bekommen, der noch nicht einmal frische Semmeln mitbringt.

Dieser Artikel wurde mit dem Pareto-Client geschrieben

* *

(Bild von pixabay)

@ 57d1a264:69f1fee1

The European Accessibility Act is coming, now is a great time for accessibility trainings!. In my Accessibility for Designer workshop, you will learn how to design accessible mockups that prevent issues in visual design, interactions, navigation, and content. You will be able to spot problems early, fix them in your designs, and communicate accessibility clearly with your team. This is a practical workshop with hands-on exercises, not just theory. You’ll actively apply accessibility principles to real design scenarios and mockups. And will get access to my accessibility resources: checklists, annotation kits and more.

When? 4 sessions of 2 hours + Q and As, on: - Mon, June 16, - Tue, June 17, Mon, - June 23 and Tue, - June 24. 9:30 – 12:00 PM PT or 18:30 – 21:00 CET

Register with 15% discount ($255) https://ti.to/smashingmagazine/online-workshops-2022/with/87vynaoqc0/discount/welcometomyworkshop

originally posted at https://stacker.news/items/971772

@ 0d97beae:c5274a14

This article hopes to complement the article by Lyn Alden on YouTube: https://www.youtube.com/watch?v=jk_HWmmwiAs

The reason why we have broken money

Before the invention of key technologies such as the printing press and electronic communications, even such as those as early as morse code transmitters, gold had won the competition for best medium of money around the world.

In fact, it was not just gold by itself that became money, rulers and world leaders developed coins in order to help the economy grow. Gold nuggets were not as easy to transact with as coins with specific imprints and denominated sizes.

However, these modern technologies created massive efficiencies that allowed us to communicate and perform services more efficiently and much faster, yet the medium of money could not benefit from these advancements. Gold was heavy, slow and expensive to move globally, even though requesting and performing services globally did not have this limitation anymore.

Banks took initiative and created derivatives of gold: paper and electronic money; these new currencies allowed the economy to continue to grow and evolve, but it was not without its dark side. Today, no currency is denominated in gold at all, money is backed by nothing and its inherent value, the paper it is printed on, is worthless too.

Banks and governments eventually transitioned from a money derivative to a system of debt that could be co-opted and controlled for political and personal reasons. Our money today is broken and is the cause of more expensive, poorer quality goods in the economy, a larger and ever growing wealth gap, and many of the follow-on problems that have come with it.

Bitcoin overcomes the "transfer of hard money" problem

Just like gold coins were created by man, Bitcoin too is a technology created by man. Bitcoin, however is a much more profound invention, possibly more of a discovery than an invention in fact. Bitcoin has proven to be unbreakable, incorruptible and has upheld its ability to keep its units scarce, inalienable and counterfeit proof through the nature of its own design.

Since Bitcoin is a digital technology, it can be transferred across international borders almost as quickly as information itself. It therefore severely reduces the need for a derivative to be used to represent money to facilitate digital trade. This means that as the currency we use today continues to fare poorly for many people, bitcoin will continue to stand out as hard money, that just so happens to work as well, functionally, along side it.

Bitcoin will also always be available to anyone who wishes to earn it directly; even China is unable to restrict its citizens from accessing it. The dollar has traditionally become the currency for people who discover that their local currency is unsustainable. Even when the dollar has become illegal to use, it is simply used privately and unofficially. However, because bitcoin does not require you to trade it at a bank in order to use it across borders and across the web, Bitcoin will continue to be a viable escape hatch until we one day hit some critical mass where the world has simply adopted Bitcoin globally and everyone else must adopt it to survive.

Bitcoin has not yet proven that it can support the world at scale. However it can only be tested through real adoption, and just as gold coins were developed to help gold scale, tools will be developed to help overcome problems as they arise; ideally without the need for another derivative, but if necessary, hopefully with one that is more neutral and less corruptible than the derivatives used to represent gold.

Bitcoin blurs the line between commodity and technology

Bitcoin is a technology, it is a tool that requires human involvement to function, however it surprisingly does not allow for any concentration of power. Anyone can help to facilitate Bitcoin's operations, but no one can take control of its behaviour, its reach, or its prioritisation, as it operates autonomously based on a pre-determined, neutral set of rules.

At the same time, its built-in incentive mechanism ensures that people do not have to operate bitcoin out of the good of their heart. Even though the system cannot be co-opted holistically, It will not stop operating while there are people motivated to trade their time and resources to keep it running and earn from others' transaction fees. Although it requires humans to operate it, it remains both neutral and sustainable.

Never before have we developed or discovered a technology that could not be co-opted and used by one person or faction against another. Due to this nature, Bitcoin's units are often described as a commodity; they cannot be usurped or virtually cloned, and they cannot be affected by political biases.

The dangers of derivatives

A derivative is something created, designed or developed to represent another thing in order to solve a particular complication or problem. For example, paper and electronic money was once a derivative of gold.

In the case of Bitcoin, if you cannot link your units of bitcoin to an "address" that you personally hold a cryptographically secure key to, then you very likely have a derivative of bitcoin, not bitcoin itself. If you buy bitcoin on an online exchange and do not withdraw the bitcoin to a wallet that you control, then you legally own an electronic derivative of bitcoin.

Bitcoin is a new technology. It will have a learning curve and it will take time for humanity to learn how to comprehend, authenticate and take control of bitcoin collectively. Having said that, many people all over the world are already using and relying on Bitcoin natively. For many, it will require for people to find the need or a desire for a neutral money like bitcoin, and to have been burned by derivatives of it, before they start to understand the difference between the two. Eventually, it will become an essential part of what we regard as common sense.

Learn for yourself

If you wish to learn more about how to handle bitcoin and avoid derivatives, you can start by searching online for tutorials about "Bitcoin self custody".

There are many options available, some more practical for you, and some more practical for others. Don't spend too much time trying to find the perfect solution; practice and learn. You may make mistakes along the way, so be careful not to experiment with large amounts of your bitcoin as you explore new ideas and technologies along the way. This is similar to learning anything, like riding a bicycle; you are sure to fall a few times, scuff the frame, so don't buy a high performance racing bike while you're still learning to balance.

@ 57d1a264:69f1fee1

Crabtree's Framework for Evaluating Human-Centered Research

Picture this: You've spent three weeks conducting qualitative research for a finance app redesign. You carefully recruited 12 participants, conducted in-depth interviews, and identified patterns around financial anxiety and decision paralysis. You're excited to present your findings when the inevitable happens:

"But are these results statistically significant?"

"Just 12 people? How can we make decisions that affect thousands of users based on conversations with just 12 people?"

As UX professionals, we regularly face stakeholders who evaluate our qualitative research using criteria designed for quantitative methods... This misalignment undermines the unique value qualitative research brings to product development.

Continue reading https://uxpsychology.substack.com/p/beyond-numbers-how-to-properly-evaluate

originally posted at https://stacker.news/items/971767

@ 37fe9853:bcd1b039

yoyoaa

@ c9badfea:610f861a

1. Install SherpaTTS (it's free and open source)
2. Launch the app and download the first AI model for your language (see recommendations below)
3. Tap the + icon below the language selection to add more models
4. Enjoy offline text-to-speech synthesis

Model Recommendations

• English: en_US-ryan-medium
• Chinese: zh-CN-huayan-medium
• German: de_DE-thorsten-medium
• Spanish: es_ES-sharvard-medium
• Portuguese: pt_BR-faber-medium
• French: fr_FR-tom-medium
• Dutch: nl_BE-rdh-medium
• Russian: ru_RU-dmitri-medium
• Arabic: ar-JO-kareem-medium
• Romanian: ro_RO-mihai-medium
• Bulgarian: bg-cv
• Turkish: tr_TR-fahrettin-medium

ℹ️ An internet connection is only needed for the initial download

ℹ️ You can use TTS Util to read text and files aloud

@ c9badfea:610f861a

1. Install PocketPal (it's free and open source)
2. Launch the app, open the menu, and navigate to Models
3. Download one or more models (e.g. Phi, Llama, Qwen)
4. Once downloaded, tap Load to start chatting

ℹ️ Experiment with different models and their quantizations (Q4, Q6, Q8, etc.) to find the most suitable one

@ 62033ff8:e4471203

收录的内容中 kind=1的部分，实话说 质量不高。 所以我增加了kind=30023 长文的article，但是更新的太少，多个relays 的服务器也没有多少长文。

所有搜索nostr如果需要产生价值，需要有高质量的文章和新闻。 而且现在有很多机器人的文章充满着浪费空间的作用，其他作用都用不上。

https://www.duozhutuan.com 目前放的是给搜索引擎提供搜索的原材料。没有做UI给人类浏览。所以看上去是粗糙的。 我并没有打算去做一个发microblog的 web客户端，那类的客户端太多了。

我觉得nostr社区需要解决的还是应用。如果仅仅是microblog 感觉有点够呛

幸运的是npub.pro 建站这样的，我觉得有点意思。

yakihonne 智能widget 也有意思

我做的TaskQ5 我自己在用了。分布式的任务系统，也挺好的。

@ 6538925e:571e55c3

It’s been a little while since we released a major design update, so we’re really excited to get this new version of the app into your hands. Here’s a breakdown of all the main updates included in Fountain 1.2:

#### Library Design Update

• New content-type filters at the top of the page make it easier to navigate between podcasts and music in your library.

• Recently Played is now the default view in your library, so it’s easier to jump back into podcasts you’ve already started.

• The Music filter now makes it easier to find saved tracks and albums, and it also gives you a list of all the artists whose music you’ve saved.

• We’ve refreshed the design of the content cards to make it easier to see how much time is remaining on episodes you’ve already started.

#### Content Pages Design Update

• All of the different content pages have undergone an extensive redesign, including shows, episodes, artists, albums, tracks, clips and playlists

• We’ve replaced the tab layout we were using on the content pages with one scrollable page, making it easier to access features like chapters and tracklists

• We’ve sanitised the formatting of show notes too, and if there is no activity for a given episode, we now display the expanded show notes

#### Episode Summaries

Ever looked at a 4-hour Lex Fridman episode and wished you could just read a high-level summary? We certainly have, so we did something about it.

• Every episode page now has a Summary button above the show notes.

• Simply pay 500 sats to unlock a summary, or upgrade to Fountain Premium for $2.99/month to enjoy unlimited summaries.

• Summaries and transcripts now come as a bundle — two for the price of one!

• Thanks to major improvements, they’re now faster, cheaper, and more accurate than ever before.

#### Playback Improvements

We’ve completely rebuilt our audio engine from the ground up. Playback is now more robust and reliable — especially for music. Here are some of the key enhancements in Fountain 1.2:

• Tracks now load and play instantly when tapped.

• When playing a collection of tracks (e.g. from an artist, album, or playlist), you can now skip seamlessly between them.

• We’ve replaced the scrollable player page with full-screen modals to make it easier to access show notes, comments, transcripts, chapters, tracklists, and your queue.

• The new Smart Resume feature rewinds the episode by 5 seconds when you hit pause, so you don’t miss a beat.

• You can now skip forward or backward by 60 seconds for faster navigation through episodes.

Other Bug Fixes & Improvements

• Rebuilt payment stats for more complete and reliable transaction records.

• Refreshed the design of the Settings pages for better usability.

• Added new episode notification preferences in Settings.

• Fixed several playback issues that were causing crashes or freezes.

• Updated lock screen display and controls for livestreams.

• Fixed issue where the next item in the queue paused unexpectedly.

• Resolved playback stuttering on Android during livestreams.

• Fixed disappearing playback controls on the lock screen.

• Fixed playback speed not updating correctly.

• Resolved issue where played episodes couldn’t be replayed.

• Fixed playback not resuming correctly when listening in the car.

• Synced car playback position with the device.

• Fixed persistent car display refresh issue.

• Fixed volume control via car controls.

• Resolved issue with headphone controls after playing a transcript.

• Fixed disappearing metadata on the lock screen.

• Fixed bug where downloaded episodes stopped in airplane mode but showed as playing.

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We would love to hear how you’re finding Fountain 1.2. Please submit your thoughts and feedback via the main menu in the app and we will take it on board as we continue to improve the app.

If you want to help test new features out before they get released, you can join Fountain Beta on Telegram. All iOS and Android users welcome.

@ c631e267:c2b78d3e

Du bist recht appetitlich oben anzuschauen, \ doch unten hin die Bestie macht mir Grauen. \ Johann Wolfgang von Goethe

Wie wenig bekömmlich sogenannte «Ultra-Processed Foods» wie Fertiggerichte, abgepackte Snacks oder Softdrinks sind, hat kürzlich eine neue Studie untersucht. Derweil kann Fleisch auch wegen des Einsatzes antimikrobieller Mittel in der Massentierhaltung ein Problem darstellen. Internationale Bemühungen, diesen Gebrauch zu reduzieren, um die Antibiotikaresistenz bei Menschen einzudämmen, sind nun möglicherweise gefährdet.

Leider ist Politik oft mindestens genauso unappetitlich und ungesund wie diverse Lebensmittel. Die «Corona-Zeit» und ihre Auswirkungen sind ein beredtes Beispiel. Der Thüringer Landtag diskutiert gerade den Entwurf eines «Coronamaßnahmen-Unrechtsbereinigungsgesetzes» und das kanadische Gesundheitsministerium versucht, tausende Entschädigungsanträge wegen Impfnebenwirkungen mit dem Budget von 75 Millionen Dollar unter einen Hut zu bekommen. In den USA soll die Zulassung von Covid-«Impfstoffen» überdacht werden, während man sich mit China um die Herkunft des Virus streitet.

Wo Corona-Verbrecher von Medien und Justiz gedeckt werden, verfolgt man Aufklärer und Aufdecker mit aller Härte. Der Anwalt und Mitbegründer des Corona-Ausschusses Reiner Fuellmich, der seit Oktober 2023 in Untersuchungshaft sitzt, wurde letzte Woche zu drei Jahren und neun Monaten verurteilt – wegen Veruntreuung. Am Mittwoch teilte der von vielen Impfschadensprozessen bekannte Anwalt Tobias Ulbrich mit, dass er vom Staatsschutz verfolgt wird und sich daher künftig nicht mehr öffentlich äußern werde.

Von der kommenden deutschen Bundesregierung aus Wählerbetrügern, Transatlantikern, Corona-Hardlinern und Russenhassern kann unmöglich eine Verbesserung erwartet werden. Nina Warken beispielsweise, die das Ressort Gesundheit übernehmen soll, diffamierte Maßnahmenkritiker als «Coronaleugner» und forderte eine Impfpflicht, da die wundersamen Injektionen angeblich «nachweislich helfen». Laut dem designierten Außenminister Johann Wadephul wird Russland «für uns immer der Feind» bleiben. Deswegen will er die Ukraine «nicht verlieren lassen» und sieht die Bevölkerung hinter sich, solange nicht deutsche Soldaten dort sterben könnten.

Eine wichtige Personalie ist auch die des künftigen Regierungssprechers. Wenngleich Hebestreit an Arroganz schwer zu überbieten sein wird, dürfte sich die Art der Kommunikation mit Stefan Kornelius in der Sache kaum ändern. Der Politikchef der Süddeutschen Zeitung «prägte den Meinungsjournalismus der SZ» und schrieb «in dieser Rolle auch für die Titel der Tamedia». Allerdings ist, anders als noch vor zehn Jahren, die Einbindung von Journalisten in Thinktanks wie die Deutsche Atlantische Gesellschaft (DAG) ja heute eher eine Empfehlung als ein Problem.

Ungesund ist definitiv auch die totale Digitalisierung, nicht nur im Gesundheitswesen. Lauterbachs Abschiedsgeschenk, die «abgesicherte» elektronische Patientenakte (ePA) ist völlig überraschenderweise direkt nach dem Bundesstart erneut gehackt worden. Norbert Häring kommentiert angesichts der Datenlecks, wer die ePA nicht abwähle, könne seine Gesundheitsdaten ebensogut auf Facebook posten.

Dass die staatlichen Kontrolleure so wenig auf freie Software und dezentrale Lösungen setzen, verdeutlicht die eigentlichen Intentionen hinter der Digitalisierungswut. Um Sicherheit und Souveränität geht es ihnen jedenfalls nicht – sonst gäbe es zum Beispiel mehr Unterstützung für Bitcoin und für Initiativen wie die der Spar-Supermärkte in der Schweiz.

[Titelbild: Pixabay]

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ 23b0e2f8:d8af76fc

Necessário

• Um Android que você não use mais (a câmera deve estar funcionando).
• Um cartão microSD (opcional, usado apenas uma vez).
• Um dispositivo para acompanhar seus fundos (provavelmente você já tem um).

Algumas coisas que você precisa saber

• O dispositivo servirá como um assinador. Qualquer movimentação só será efetuada após ser assinada por ele.
• O cartão microSD será usado para transferir o APK do Electrum e garantir que o aparelho não terá contato com outras fontes de dados externas após sua formatação. Contudo, é possível usar um cabo USB para o mesmo propósito.
• A ideia é deixar sua chave privada em um dispositivo offline, que ficará desligado em 99% do tempo. Você poderá acompanhar seus fundos em outro dispositivo conectado à internet, como seu celular ou computador pessoal.

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O tutorial será dividido em dois módulos:

• Módulo 1 - Criando uma carteira fria/assinador.
• Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

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No final, teremos:

• Uma carteira fria que também servirá como assinador.
• Um dispositivo para acompanhar os fundos da carteira.

---

Módulo 1 - Criando uma carteira fria/assinador

1. Baixe o APK do Electrum na aba de downloads em https://electrum.org/. Fique à vontade para verificar as assinaturas do software, garantindo sua autenticidade.

2. Formate o cartão microSD e coloque o APK do Electrum nele. Caso não tenha um cartão microSD, pule este passo.

1. Retire os chips e acessórios do aparelho que será usado como assinador, formate-o e aguarde a inicialização.

1. Durante a inicialização, pule a etapa de conexão ao Wi-Fi e rejeite todas as solicitações de conexão. Após isso, você pode desinstalar aplicativos desnecessários, pois precisará apenas do Electrum. Certifique-se de que Wi-Fi, Bluetooth e dados móveis estejam desligados. Você também pode ativar o modo avião.\ (Curiosidade: algumas pessoas optam por abrir o aparelho e danificar a antena do Wi-Fi/Bluetooth, impossibilitando essas funcionalidades.)

1. Insira o cartão microSD com o APK do Electrum no dispositivo e instale-o. Será necessário permitir instalações de fontes não oficiais.

1. No Electrum, crie uma carteira padrão e gere suas palavras-chave (seed). Anote-as em um local seguro. Caso algo aconteça com seu assinador, essas palavras permitirão o acesso aos seus fundos novamente. (Aqui entra seu método pessoal de backup.)

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Módulo 2 - Configurando um dispositivo para visualizar seus fundos e assinando transações com o assinador.

1. Criar uma carteira somente leitura em outro dispositivo, como seu celular ou computador pessoal, é uma etapa bastante simples. Para este tutorial, usaremos outro smartphone Android com Electrum. Instale o Electrum a partir da aba de downloads em https://electrum.org/ ou da própria Play Store. (ATENÇÃO: O Electrum não existe oficialmente para iPhone. Desconfie se encontrar algum.)

2. Após instalar o Electrum, crie uma carteira padrão, mas desta vez escolha a opção Usar uma chave mestra.

1. Agora, no assinador que criamos no primeiro módulo, exporte sua chave pública: vá em Carteira > Detalhes da carteira > Compartilhar chave mestra pública.

1. Escaneie o QR gerado da chave pública com o dispositivo de consulta. Assim, ele poderá acompanhar seus fundos, mas sem permissão para movimentá-los.

2. Para receber fundos, envie Bitcoin para um dos endereços gerados pela sua carteira: Carteira > Addresses/Coins.

3. Para movimentar fundos, crie uma transação no dispositivo de consulta. Como ele não possui a chave privada, será necessário assiná-la com o dispositivo assinador.

1. No assinador, escaneie a transação não assinada, confirme os detalhes, assine e compartilhe. Será gerado outro QR, desta vez com a transação já assinada.

1. No dispositivo de consulta, escaneie o QR da transação assinada e transmita-a para a rede.

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Conclusão

Pontos positivos do setup:

• Simplicidade: Basta um dispositivo Android antigo.
• Flexibilidade: Funciona como uma ótima carteira fria, ideal para holders.

Pontos negativos do setup:

• Padronização: Não utiliza seeds no padrão BIP-39, você sempre precisará usar o electrum.
• Interface: A aparência do Electrum pode parecer antiquada para alguns usuários.

Nesse ponto, temos uma carteira fria que também serve para assinar transações. O fluxo de assinar uma transação se torna: Gerar uma transação não assinada > Escanear o QR da transação não assinada > Conferir e assinar essa transação com o assinador > Gerar QR da transação assinada > Escanear a transação assinada com qualquer outro dispositivo que possa transmiti-la para a rede.

Como alguns devem saber, uma transação assinada de Bitcoin é praticamente impossível de ser fraudada. Em um cenário catastrófico, você pode mesmo que sem internet, repassar essa transação assinada para alguém que tenha acesso à rede por qualquer meio de comunicação. Mesmo que não queiramos que isso aconteça um dia, esse setup acaba por tornar essa prática possível.

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@ 207ad2a0:e7cca7b0

Quick context: I wanted to check out Nostr's longform posts and this blog post seemed like a good one to try and mirror. It's originally from my free to read/share attempt to write a novel, but this post here is completely standalone - just describing how I used AI image generation to make a small piece of the work.

Hold on, put your pitchforks down - outside of using Grammerly & Emacs for grammatical corrections - not a single character was generated or modified by computers; a non-insignificant portion of my first draft originating on pen & paper. No AI is ~~weird and crazy~~ imaginative enough to write like I do. The only successful AI contribution you'll find is a single image, the map, which I heavily edited. This post will go over how I generated and modified an image using AI, which I believe brought some value to the work, and cover a few quick thoughts about AI towards the end.

Let's be clear, I can't draw, but I wanted a map which I believed would improve the story I was working on. After getting abysmal results by prompting AI with text only I decided to use "Diffuse the Rest," a Stable Diffusion tool that allows you to provide a reference image + description to fine tune what you're looking for. I gave it this Microsoft Paint looking drawing:

and after a number of outputs, selected this one to work on:

The image is way better than the one I provided, but had I used it as is, I still feel it would have decreased the quality of my work instead of increasing it. After firing up Gimp I cropped out the top and bottom, expanded the ocean and separated the landmasses, then copied the top right corner of the large landmass to replace the bottom left that got cut off. Now we've got something that looks like concept art: not horrible, and gets the basic idea across, but it's still due for a lot more detail.

The next thing I did was add some texture to make it look more map like. I duplicated the layer in Gimp and applied the "Cartoon" filter to both for some texture. The top layer had a much lower effect strength to give it a more textured look, while the lower layer had a higher effect strength that looked a lot like mountains or other terrain features. Creating a layer mask allowed me to brush over spots to display the lower layer in certain areas, giving it some much needed features.

At this point I'd made it to where I felt it may improve the work instead of detracting from it - at least after labels and borders were added, but the colors seemed artificial and out of place. Luckily, however, this is when PhotoFunia could step in and apply a sketch effect to the image.

At this point I was pretty happy with how it was looking, it was close to what I envisioned and looked very visually appealing while still being a good way to portray information. All that was left was to make the white background transparent, add some minor details, and add the labels and borders. Below is the exact image I wound up using:

Overall, I'm very satisfied with how it turned out, and if you're working on a creative project, I'd recommend attempting something like this. It's not a central part of the work, but it improved the chapter a fair bit, and was doable despite lacking the talent and not intending to allocate a budget to my making of a free to read and share story.

The AI Generated Elephant in the Room

If you've read my non-fiction writing before, you'll know that I think AI will find its place around the skill floor as opposed to the skill ceiling. As you saw with my input, I have absolutely zero drawing talent, but with some elbow grease and an existing creative direction before and after generating an image I was able to get something well above what I could have otherwise accomplished. Outside of the lowest common denominators like stock photos for the sole purpose of a link preview being eye catching, however, I doubt AI will be wholesale replacing most creative works anytime soon. I can assure you that I tried numerous times to describe the map without providing a reference image, and if I used one of those outputs (or even just the unedited output after providing the reference image) it would have decreased the quality of my work instead of improving it.

I'm going to go out on a limb and expect that AI image, text, and video is all going to find its place in slop & generic content (such as AI generated slop replacing article spinners and stock photos respectively) and otherwise be used in a supporting role for various creative endeavors. For people working on projects like I'm working on (e.g. intended budget $0) it's helpful to have an AI capable of doing legwork - enabling projects to exist or be improved in ways they otherwise wouldn't have. I'm also guessing it'll find its way into more professional settings for grunt work - think a picture frame or fake TV show that would exist in the background of an animated project - likely a detail most people probably wouldn't notice, but that would save the creators time and money and/or allow them to focus more on the essential aspects of said work. Beyond that, as I've predicted before: I expect plenty of emails will be generated from a short list of bullet points, only to be summarized by the recipient's AI back into bullet points.

I will also make a prediction counter to what seems mainstream: AI is about to peak for a while. The start of AI image generation was with Google's DeepDream in 2015 - image recognition software that could be run in reverse to "recognize" patterns where there were none, effectively generating an image from digital noise or an unrelated image. While I'm not an expert by any means, I don't think we're too far off from that a decade later, just using very fine tuned tools that develop more coherent images. I guess that we're close to maxing out how efficiently we're able to generate images and video in that manner, and the hard caps on how much creative direction we can have when using AI - as well as the limits to how long we can keep it coherent (e.g. long videos or a chronologically consistent set of images) - will prevent AI from progressing too far beyond what it is currently unless/until another breakthrough occurs.

@ 6a6be47b:3e74e3e1

Hi frens, you may or may not have noticed I’ve been MIA for about three weeks. I wanted to take a moment to explain where I’ve been, and why I stepped back for a bit.

At the start of the year, I was determined to make the most of it-and I still am. I’ve been pouring myself into several projects, especially my painting, which has really taken off. I’m so grateful for your support; none of this would be possible without you. But here’s where things got tricky. I started feeling like I had to “earn” every moment of rest, and that mindset snowballed. My health took a hit, and then one of my other projects completely derailed.

The stress piled up, and I felt like I was on the verge of burning out.

Don’t get me wrong-I’ve always welcomed change, even when it’s tough. And this time was no exception. The project I’d been working on for months took a 180, and all that effort seemed to go down the drain. I was frustrated, but I kept pushing, even though I was running on fumes. By the time I “earned” a break, I was too exhausted to enjoy it.

I managed to post a piece about Holy Week on my blog (which I’m really proud of-check it out if you haven’t!), but after that, I was done. I realized I needed to stop, not just for a day, but for a real break. When I finally took a few days off with my husband, it was clear how much I needed it. I was burned out, plain and simple. Now, I’m still putting myself back together. Mentally, I feel drained, but I’m stronger than I was a few weeks ago. I know I’m lucky and privileged to be able to take this time, and I’m grateful for the perspective it’s given me. I also r realize that this isn’t just a “me” thing-most people have been here at some point. We keep going until there’s nothing left, then wonder why we feel like empty shells.

I’ll be back to drawing soon (knock on wood-don’t want to jinx it!). In the meantime, take care of yourselves, and godspeed.

@ c631e267:c2b78d3e

Die Wahrheit verletzt tiefer als jede Beleidigung. \ Marquis de Sade

Sagen Sie niemals «Terroristin B.», «Schwachkopf H.», «korrupter Drecksack S.» oder «Meinungsfreiheitshasserin F.» und verkneifen Sie sich Memes, denn so etwas könnte Ihnen als Beleidigung oder Verleumdung ausgelegt werden und rechtliche Konsequenzen haben. Auch mit einer Frau M.-A. S.-Z. ist in dieser Beziehung nicht zu spaßen, sie gehört zu den Top-Anzeigenstellern.

«Politikerbeleidigung» als Straftatbestand wurde 2021 im Kampf gegen «Rechtsextremismus und Hasskriminalität» in Deutschland eingeführt, damals noch unter der Regierung Merkel. Im Gesetz nicht festgehalten ist die Unterscheidung zwischen schlechter Hetze und guter Hetze – trotzdem ist das gängige Praxis, wie der Titel fast schon nahelegt.

So dürfen Sie als Politikerin heute den Tesla als «Nazi-Auto» bezeichnen und dies ausdrücklich auf den Firmengründer Elon Musk und dessen «rechtsextreme Positionen» beziehen, welche Sie nicht einmal belegen müssen. [1] Vielleicht ernten Sie Proteste, jedoch vorrangig wegen der «gut bezahlten, unbefristeten Arbeitsplätze» in Brandenburg. Ihren Tweet hat die Berliner Senatorin Cansel Kiziltepe inzwischen offenbar dennoch gelöscht.

Dass es um die Meinungs- und Pressefreiheit in der Bundesrepublik nicht mehr allzu gut bestellt ist, befürchtet man inzwischen auch schon im Ausland. Der Fall des Journalisten David Bendels, der kürzlich wegen eines Faeser-Memes zu sieben Monaten Haft auf Bewährung verurteilt wurde, führte in diversen Medien zu Empörung. Die Welt versteckte ihre Kritik mit dem Titel «Ein Urteil wie aus einer Diktatur» hinter einer Bezahlschranke.

Unschöne, heutzutage vielleicht strafbare Kommentare würden mir auch zu einigen anderen Themen und Akteuren einfallen. Ein Kandidat wäre der deutsche Bundesgesundheitsminister (ja, er ist es tatsächlich immer noch). Während sich in den USA auf dem Gebiet etwas bewegt und zum Beispiel Robert F. Kennedy Jr. will, dass die Gesundheitsbehörde (CDC) keine Covid-Impfungen für Kinder mehr empfiehlt, möchte Karl Lauterbach vor allem das Corona-Lügengebäude vor dem Einsturz bewahren.

«Ich habe nie geglaubt, dass die Impfungen nebenwirkungsfrei sind», sagte Lauterbach jüngst der ZDF-Journalistin Sarah Tacke. Das steht in krassem Widerspruch zu seiner früher verbreiteten Behauptung, die Gen-Injektionen hätten keine Nebenwirkungen. Damit entlarvt er sich selbst als Lügner. Die Bezeichnung ist absolut berechtigt, dieser Mann dürfte keinerlei politische Verantwortung tragen und das Verhalten verlangt nach einer rechtlichen Überprüfung. Leider ist ja die Justiz anderweitig beschäftigt und hat außerdem selbst keine weiße Weste.

Obendrein kämpfte der Herr Minister für eine allgemeine Impfpflicht. Er beschwor dabei das Schließen einer «Impflücke», wie es die Weltgesundheitsorganisation – die «wegen Trump» in finanziellen Schwierigkeiten steckt – bis heute tut. Die WHO lässt aktuell ihre «Europäische Impfwoche» propagieren, bei der interessanterweise von Covid nicht mehr groß die Rede ist.

Einen «Klima-Leugner» würden manche wohl Nir Shaviv nennen, das ist ja nicht strafbar. Der Astrophysiker weist nämlich die Behauptung von einer Klimakrise zurück. Gemäß seiner Forschung ist mindestens die Hälfte der Erderwärmung nicht auf menschliche Emissionen, sondern auf Veränderungen im Sonnenverhalten zurückzuführen.

Das passt vielleicht auch den «Klima-Hysterikern» der britischen Regierung ins Konzept, die gerade Experimente zur Verdunkelung der Sonne angekündigt haben. Produzenten von Kunstfleisch oder Betreiber von Insektenfarmen würden dagegen vermutlich die Geschichte vom fatalen CO2 bevorzugen. Ihnen würde es besser passen, wenn der verantwortungsvolle Erdenbürger sein Verhalten gründlich ändern müsste.

In unserer völlig verkehrten Welt, in der praktisch jede Verlautbarung außerhalb der abgesegneten Narrative potenziell strafbar sein kann, gehört fast schon Mut dazu, Dinge offen anzusprechen. Im «besten Deutschland aller Zeiten» glaubten letztes Jahr nur noch 40 Prozent der Menschen, ihre Meinung frei äußern zu können. Das ist ein Armutszeugnis, und es sieht nicht gerade nach Besserung aus. Umso wichtiger ist es, dagegen anzugehen.

[Titelbild: Pixabay]

--- Quellen: ---

[1] Zur Orientierung wenigstens ein paar Hinweise zur NS-Vergangenheit deutscher Automobilhersteller:

• Volkswagen
• Porsche
• Daimler-Benz
• BMW
• Audi
• Opel
• Heute: «Auto-Werke für die Rüstung? Rheinmetall prüft Übernahmen»

---

Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ c9badfea:610f861a

1. Install Kiwix (it's free and open source)
2. Download ZIM files from the Kiwix Library (you will find complete offline versions of Wikipedia, Stack Overflow, Bitcoin Wiki, DevDocs and many more)
3. Open the downloaded ZIM files within the Kiwix app

ℹ️ You can also package any website using either Kiwix Zimit (online tool) or the Zimit Docker Container (for technical users)

ℹ️ .zim is the file format used for packaged websites

@ e6817453:b0ac3c39

The Rise of Graph RAGs and the Quest for Data Quality

As we enter a new year, it’s impossible to ignore the boom of retrieval-augmented generation (RAG) systems, particularly those leveraging graph-based approaches. The previous year saw a surge in advancements and discussions about Graph RAGs, driven by their potential to enhance large language models (LLMs), reduce hallucinations, and deliver more reliable outputs. Let’s dive into the trends, challenges, and strategies for making the most of Graph RAGs in artificial intelligence.

Booming Interest in Graph RAGs

Graph RAGs have dominated the conversation in AI circles. With new research papers and innovations emerging weekly, it’s clear that this approach is reshaping the landscape. These systems, especially those developed by tech giants like Microsoft, demonstrate how graphs can:

• Enhance LLM Outputs: By grounding responses in structured knowledge, graphs significantly reduce hallucinations.
• Support Complex Queries: Graphs excel at managing linked and connected data, making them ideal for intricate problem-solving.

Conferences on linked and connected data have increasingly focused on Graph RAGs, underscoring their central role in modern AI systems. However, the excitement around this technology has brought critical questions to the forefront: How do we ensure the quality of the graphs we’re building, and are they genuinely aligned with our needs?

Data Quality: The Foundation of Effective Graphs

A high-quality graph is the backbone of any successful RAG system. Constructing these graphs from unstructured data requires attention to detail and rigorous processes. Here’s why:

• Richness of Entities: Effective retrieval depends on graphs populated with rich, detailed entities.
• Freedom from Hallucinations: Poorly constructed graphs amplify inaccuracies rather than mitigating them.

Without robust data quality, even the most sophisticated Graph RAGs become ineffective. As a result, the focus must shift to refining the graph construction process. Improving data strategy and ensuring meticulous data preparation is essential to unlock the full potential of Graph RAGs.

Hybrid Graph RAGs and Variations

While standard Graph RAGs are already transformative, hybrid models offer additional flexibility and power. Hybrid RAGs combine structured graph data with other retrieval mechanisms, creating systems that:

• Handle diverse data sources with ease.
• Offer improved adaptability to complex queries.

Exploring these variations can open new avenues for AI systems, particularly in domains requiring structured and unstructured data processing.

Ontology: The Key to Graph Construction Quality

Ontology — defining how concepts relate within a knowledge domain — is critical for building effective graphs. While this might sound abstract, it’s a well-established field blending philosophy, engineering, and art. Ontology engineering provides the framework for:

• Defining Relationships: Clarifying how concepts connect within a domain.
• Validating Graph Structures: Ensuring constructed graphs are logically sound and align with domain-specific realities.

Traditionally, ontologists — experts in this discipline — have been integral to large enterprises and research teams. However, not every team has access to dedicated ontologists, leading to a significant challenge: How can teams without such expertise ensure the quality of their graphs?

How to Build Ontology Expertise in a Startup Team

For startups and smaller teams, developing ontology expertise may seem daunting, but it is achievable with the right approach:

1. Assign a Knowledge Champion: Identify a team member with a strong analytical mindset and give them time and resources to learn ontology engineering.
2. Provide Training: Invest in courses, workshops, or certifications in knowledge graph and ontology creation.
3. Leverage Partnerships: Collaborate with academic institutions, domain experts, or consultants to build initial frameworks.
4. Utilize Tools: Introduce ontology development tools like Protégé, OWL, or SHACL to simplify the creation and validation process.
5. Iterate with Feedback: Continuously refine ontologies through collaboration with domain experts and iterative testing.

So, it is not always affordable for a startup to have a dedicated oncologist or knowledge engineer in a team, but you could involve consulters or build barefoot experts.

You could read about barefoot experts in my article :

Even startups can achieve robust and domain-specific ontology frameworks by fostering in-house expertise.

How to Find or Create Ontologies

For teams venturing into Graph RAGs, several strategies can help address the ontology gap:

1. Leverage Existing Ontologies: Many industries and domains already have open ontologies. For instance:

2. Public Knowledge Graphs: Resources like Wikipedia’s graph offer a wealth of structured knowledge.

3. Industry Standards: Enterprises such as Siemens have invested in creating and sharing ontologies specific to their fields.

4. Business Framework Ontology (BFO): A valuable resource for enterprises looking to define business processes and structures.

5. Build In-House Expertise: If budgets allow, consider hiring knowledge engineers or providing team members with the resources and time to develop expertise in ontology creation.

6. Utilize LLMs for Ontology Construction: Interestingly, LLMs themselves can act as a starting point for ontology development:

7. Prompt-Based Extraction: LLMs can generate draft ontologies by leveraging their extensive training on graph data.

8. Domain Expert Refinement: Combine LLM-generated structures with insights from domain experts to create tailored ontologies.

Parallel Ontology and Graph Extraction

An emerging approach involves extracting ontologies and graphs in parallel. While this can streamline the process, it presents challenges such as:

• Detecting Hallucinations: Differentiating between genuine insights and AI-generated inaccuracies.
• Ensuring Completeness: Ensuring no critical concepts are overlooked during extraction.

Teams must carefully validate outputs to ensure reliability and accuracy when employing this parallel method.

LLMs as Ontologists

While traditionally dependent on human expertise, ontology creation is increasingly supported by LLMs. These models, trained on vast amounts of data, possess inherent knowledge of many open ontologies and taxonomies. Teams can use LLMs to:

• Generate Skeleton Ontologies: Prompt LLMs with domain-specific information to draft initial ontology structures.
• Validate and Refine Ontologies: Collaborate with domain experts to refine these drafts, ensuring accuracy and relevance.

However, for validation and graph construction, formal tools such as OWL, SHACL, and RDF should be prioritized over LLMs to minimize hallucinations and ensure robust outcomes.

Final Thoughts: Unlocking the Power of Graph RAGs

The rise of Graph RAGs underscores a simple but crucial correlation: improving graph construction and data quality directly enhances retrieval systems. To truly harness this power, teams must invest in understanding ontologies, building quality graphs, and leveraging both human expertise and advanced AI tools.

As we move forward, the interplay between Graph RAGs and ontology engineering will continue to shape the future of AI. Whether through adopting existing frameworks or exploring innovative uses of LLMs, the path to success lies in a deep commitment to data quality and domain understanding.

Have you explored these technologies in your work? Share your experiences and insights — and stay tuned for more discussions on ontology extraction and its role in AI advancements. Cheers to a year of innovation!

@ ae1008d2:a166d760

This is part one in a series of long-form content of my ideas as to what we are entering into in my opinion;The Roaring '20's 2.0 (working title). I hope you'll join me on this journey together.
"History does not repeat itself, but it often rhymes"; - Samuel Clemens, aka Mark Twain. My only class I received an A+ in high school was history, this opened up the opportunity for me to enroll in an AP (college level) history class my senior year. There was an inherent nature for me to study history. Another quote I found to live by; "If we do not study history, we are bound to repeat it", a paraphrased quote by the many great philosphers of old from Edmund Burke, George Santayana and even Winston Churchill, all pulling from the same King Solomon quote; "What has been will be again, what has been done will be done again; there is nothing new under the sun". My curiousity of human actions, psychological and therefore economical behavior, has benefitted me greatly throughout my life and career, at such a young age. Being able to 'see around the curves' ahead I thought was a gift many had, but was sorely mistaken. People are just built different. One, if not my hardest action for me is to share. I just do things; act, often without even thinking about writing down or sharing in anyway shape or form what I just did here with friends, what we just built or how we formed these startups, etc., I've finally made the time, mainly for myself, to share my thoughts and ideas as to where we are at, and what we can do moving forward. It's very easy for us living a sovereign-lifestyle in Bitcoin, Nostr and other P2P, cryptographically-signed sovereign tools and tech-stacks alike, permissionless and self-hostable, to take all these tools for granted. We just live with them. Use them everyday. Do you own property? Do you have to take care of the cattle everyday? To live a sovereign life is tough, but most rewarding. As mentioned above, I'm diving into the details in a several part series as to what the roaring '20's were about, how it got to the point it did, and the inevitable outcome we all know what came to be. How does this possibly repeat itself almost exactly a century later? How does Bitcoin play a role? Are we all really going to be replaced by AI robots (again, history rhymes here)? Time will tell, but I think most of us actually using the tools will also forsee many of these possible outcomes, as it's why we are using many of these tools today. The next parts of this series will be released periodically, maybe once per month, maybe once per quarter. I'll also be releasing these on other platforms like Medium for reach, but Nostr will always be first, most important and prioritized.
I'll leave you with one of my favorite quotes I've lived by from one of the greatest traders of all time, especially during this roaring '20's era, Jesse Livermore; "Money is made by sitting, not trading".

@ 91d8dece:3453543b

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@ 57d1a264:69f1fee1

Design can’t be effective when squeezed into a decades-old process.

When the Agile Manifesto was inked in 2001, it was supposed to spark a revolution, and it did: by 2023, 71% of US companies were using Agile. The simple list of commitments to collaboration and adaptiveness branched into frameworks such as Scrum and Kanban.

“Agile” was about having a responsive mindset, not about which process you followed, but it became about which process you followed.

Agile was designed for engineering teams but spread to whole companies. Scaled frameworks emerged to coordinate Scrum teams, with a sprawling training and certification industry. In 2022, the enterprise Agile transformation industry was predicted to reach $142 billion by 2032.

Continue reading

originally posted at https://stacker.news/items/972640

@ c631e267:c2b78d3e

Es ist völlig unbestritten, dass der Angriff der russischen Armee auf die Ukraine im Februar 2022 strikt zu verurteilen ist. Ebenso unbestritten ist Russland unter Wladimir Putin keine brillante Demokratie. Aus diesen Tatsachen lässt sich jedoch nicht das finstere Bild des russischen Präsidenten – und erst recht nicht des Landes – begründen, das uns durchweg vorgesetzt wird und den Kern des aktuellen europäischen Bedrohungs-Szenarios darstellt. Da müssen wir schon etwas genauer hinschauen.

Der vorliegende Artikel versucht derweil nicht, den Einsatz von Gewalt oder die Verletzung von Menschenrechten zu rechtfertigen oder zu entschuldigen – ganz im Gegenteil. Dass jedoch der Verdacht des «Putinverstehers» sofort latent im Raume steht, verdeutlicht, was beim Thema «Russland» passiert: Meinungsmache und Manipulation.

Angesichts der mentalen Mobilmachung seitens Politik und Medien sowie des Bestrebens, einen bevorstehenden Krieg mit Russland geradezu herbeizureden, ist es notwendig, dieser fatalen Entwicklung entgegenzutreten. Wenn wir uns nur ein wenig von der herrschenden Schwarz-Weiß-Malerei freimachen, tauchen automatisch Fragen auf, die Risse im offiziellen Narrativ enthüllen. Grund genug, nachzuhaken.

Wer sich schon länger auch abseits der Staats- und sogenannten Leitmedien informiert, der wird in diesem Artikel vermutlich nicht viel Neues erfahren. Andere könnten hier ein paar unbekannte oder vergessene Aspekte entdecken. Möglicherweise klärt sich in diesem Kontext die Wahrnehmung der aktuellen (unserer eigenen!) Situation ein wenig.

Manipulation erkennen

Corona-«Pandemie», menschengemachter Klimawandel oder auch Ukraine-Krieg: Jede Menge Krisen, und für alle gibt es ein offizielles Narrativ, dessen Hinterfragung unerwünscht ist. Nun ist aber ein Narrativ einfach eine Erzählung, eine Geschichte (Latein: «narratio») und kein Tatsachenbericht. Und so wie ein Märchen soll auch das Narrativ eine Botschaft vermitteln.

Über die Methoden der Manipulation ist viel geschrieben worden, sowohl in Bezug auf das Individuum als auch auf die Massen. Sehr wertvolle Tipps dazu, wie man Manipulationen durchschauen kann, gibt ein Büchlein [1] von Albrecht Müller, dem Herausgeber der NachDenkSeiten.

Die Sprache selber eignet sich perfekt für die Manipulation. Beispielsweise kann die Wortwahl Bewertungen mitschwingen lassen, regelmäßiges Wiederholen (gerne auch von verschiedenen Seiten) lässt Dinge irgendwann «wahr» erscheinen, Übertreibungen fallen auf und hinterlassen wenigstens eine Spur im Gedächtnis, genauso wie Andeutungen. Belege spielen dabei keine Rolle.

Es gibt auffällig viele Sprachregelungen, die offenbar irgendwo getroffen und irgendwie koordiniert werden. Oder alle Redenschreiber und alle Medien kopieren sich neuerdings permanent gegenseitig. Welchen Zweck hat es wohl, wenn der Krieg in der Ukraine durchgängig und quasi wörtlich als «russischer Angriffskrieg auf die Ukraine» bezeichnet wird? Obwohl das in der Sache richtig ist, deutet die Art der Verwendung auf gezielte Beeinflussung hin und soll vor allem das Feindbild zementieren.

Sprachregelungen dienen oft der Absicherung einer einseitigen Darstellung. Das Gleiche gilt für das Verkürzen von Informationen bis hin zum hartnäckigen Verschweigen ganzer Themenbereiche. Auch hierfür gibt es rund um den Ukraine-Konflikt viele gute Beispiele.

Das gewünschte Ergebnis solcher Methoden ist eine Schwarz-Weiß-Malerei, bei der einer eindeutig als «der Böse» markiert ist und die anderen automatisch «die Guten» sind. Das ist praktisch und demonstriert gleichzeitig ein weiteres Manipulationswerkzeug: die Verwendung von Doppelstandards. Wenn man es schafft, bei wichtigen Themen regelmäßig mit zweierlei Maß zu messen, ohne dass das Publikum protestiert, dann hat man freie Bahn.

Experten zu bemühen, um bestimmte Sachverhalte zu erläutern, ist sicher sinnvoll, kann aber ebenso missbraucht werden, schon allein durch die Auswahl der jeweiligen Spezialisten. Seit «Corona» werden viele erfahrene und ehemals hoch angesehene Fachleute wegen der «falschen Meinung» diffamiert und gecancelt. [2] Das ist nicht nur ein brutaler Umgang mit Menschen, sondern auch eine extreme Form, die öffentliche Meinung zu steuern.

Wann immer wir also erkennen (weil wir aufmerksam waren), dass wir bei einem bestimmten Thema manipuliert werden, dann sind zwei logische und notwendige Fragen: Warum? Und was ist denn richtig? In unserem Russland-Kontext haben die Antworten darauf viel mit Geopolitik und Geschichte zu tun.

Ist Russland aggressiv und expansiv?

Angeblich plant Russland, europäische NATO-Staaten anzugreifen, nach dem Motto: «Zuerst die Ukraine, dann den Rest». In Deutschland weiß man dafür sogar das Datum: «Wir müssen bis 2029 kriegstüchtig sein», versichert Verteidigungsminister Pistorius.

Historisch gesehen ist es allerdings eher umgekehrt: Russland, bzw. die Sowjetunion, ist bereits dreimal von Westeuropa aus militärisch angegriffen worden. Die Feldzüge Napoleons, des deutschen Kaiserreichs und Nazi-Deutschlands haben Millionen Menschen das Leben gekostet. Bei dem ausdrücklichen Vernichtungskrieg ab 1941 kam es außerdem zu Brutalitäten wie der zweieinhalbjährigen Belagerung Leningrads (heute St. Petersburg) durch Hitlers Wehrmacht. Deren Ziel, die Bevölkerung auszuhungern, wurde erreicht: über eine Million tote Zivilisten.

Trotz dieser Erfahrungen stimmte Michail Gorbatschow 1990 der deutschen Wiedervereinigung zu und die Sowjetunion zog ihre Truppen aus Osteuropa zurück (vgl. Abb. 1). Der Warschauer Pakt wurde aufgelöst, der Kalte Krieg formell beendet. Die Sowjets erhielten damals von führenden westlichen Politikern die Zusicherung, dass sich die NATO «keinen Zentimeter ostwärts» ausdehnen würde, das ist dokumentiert. [3]

Expandiert ist die NATO trotzdem, und zwar bis an Russlands Grenzen (vgl. Abb. 2). Laut dem Politikberater Jeffrey Sachs handelt es sich dabei um ein langfristiges US-Projekt, das von Anfang an die Ukraine und Georgien mit einschloss. Offiziell wurde der Beitritt beiden Staaten 2008 angeboten. In jedem Fall könnte die massive Ost-Erweiterung seit 1999 aus russischer Sicht nicht nur als Vertrauensbruch, sondern durchaus auch als aggressiv betrachtet werden.

Russland hat den europäischen Staaten mehrfach die Hand ausgestreckt [4] für ein friedliches Zusammenleben und den «Aufbau des europäischen Hauses». Präsident Putin sei «in seiner ersten Amtszeit eine Chance für Europa» gewesen, urteilt die Journalistin und langjährige Russland-Korrespondentin der ARD, Gabriele Krone-Schmalz. Er habe damals viele positive Signale Richtung Westen gesendet.

Die Europäer jedoch waren scheinbar an einer Partnerschaft mit dem kontinentalen Nachbarn weniger interessiert als an der mit dem transatlantischen Hegemon. Sie verkennen bis heute, dass eine gedeihliche Zusammenarbeit in Eurasien eine Gefahr für die USA und deren bekundetes Bestreben ist, die «einzige Weltmacht» zu sein – «Full Spectrum Dominance» [5] nannte das Pentagon das. Statt einem neuen Kalten Krieg entgegenzuarbeiten, ließen sich europäische Staaten selber in völkerrechtswidrige «US-dominierte Angriffskriege» [6] verwickeln, wie in Serbien, Afghanistan, dem Irak, Libyen oder Syrien. Diese werden aber selten so benannt.

Speziell den Deutschen stünde außer einer Portion Realismus auch etwas mehr Dankbarkeit gut zu Gesicht. Das Geschichtsbewusstsein der Mehrheit scheint doch recht selektiv und das Selbstbewusstsein einiger etwas desorientiert zu sein. Bekanntermaßen waren es die Soldaten der sowjetischen Roten Armee, die unter hohen Opfern 1945 Deutschland «vom Faschismus befreit» haben. Bei den Gedenkfeiern zu 80 Jahren Kriegsende will jedoch das Auswärtige Amt – noch unter der Diplomatie-Expertin Baerbock, die sich schon länger offiziell im Krieg mit Russland wähnt, – nun keine Russen sehen: Sie sollen notfalls rausgeschmissen werden.

«Die Grundsatzfrage lautet: Geht es Russland um einen angemessenen Platz in einer globalen Sicherheitsarchitektur, oder ist Moskau schon seit langem auf einem imperialistischen Trip, der befürchten lassen muss, dass die Russen in fünf Jahren in Berlin stehen?»

So bringt Gabriele Krone-Schmalz [7] die eigentliche Frage auf den Punkt, die zur Einschätzung der Situation letztlich auch jeder für sich beantworten muss.

Was ist los in der Ukraine?

In der internationalen Politik geht es nie um Demokratie oder Menschenrechte, sondern immer um Interessen von Staaten. Diese These stammt von Egon Bahr, einem der Architekten der deutschen Ostpolitik des «Wandels durch Annäherung» aus den 1960er und 70er Jahren. Sie trifft auch auf den Ukraine-Konflikt zu, den handfeste geostrategische und wirtschaftliche Interessen beherrschen, obwohl dort angeblich «unsere Demokratie» verteidigt wird.

Es ist ein wesentliches Element des Ukraine-Narrativs und Teil der Manipulation, die Vorgeschichte des Krieges wegzulassen – mindestens die vor der russischen «Annexion» der Halbinsel Krim im März 2014, aber oft sogar komplett diejenige vor der Invasion Ende Februar 2022. Das Thema ist komplex, aber einige Aspekte, die für eine Beurteilung nicht unwichtig sind, will ich wenigstens kurz skizzieren. [8]

Das Gebiet der heutigen Ukraine und Russlands – die übrigens in der «Kiewer Rus» gemeinsame Wurzeln haben – hat der britische Geostratege Halford Mackinder bereits 1904 als eurasisches «Heartland» bezeichnet, dessen Kontrolle er eine große Bedeutung für die imperiale Strategie Großbritanniens zumaß. Für den ehemaligen Sicherheits- und außenpolitischen Berater mehrerer US-amerikanischer Präsidenten und Mitgründer der Trilateralen Kommission, Zbigniew Brzezinski, war die Ukraine nach der Auflösung der Sowjetunion ein wichtiger Spielstein auf dem «eurasischen Schachbrett», wegen seiner Nähe zu Russland, seiner Bodenschätze und seines Zugangs zum Schwarzen Meer.

Die Ukraine ist seit langem ein gespaltenes Land. Historisch zerrissen als Spielball externer Interessen und geprägt von ethnischen, kulturellen, religiösen und geografischen Unterschieden existiert bis heute, grob gesagt, eine Ost-West-Spaltung, welche die Suche nach einer nationalen Identität stark erschwert.

Insbesondere im Zuge der beiden Weltkriege sowie der Russischen Revolution entstanden tiefe Risse in der Bevölkerung. Ukrainer kämpften gegen Ukrainer, zum Beispiel die einen auf der Seite von Hitlers faschistischer Nazi-Armee und die anderen auf der von Stalins kommunistischer Roter Armee. Die Verbrechen auf beiden Seiten sind nicht vergessen. Dass nach der Unabhängigkeit 1991 versucht wurde, Figuren wie den radikalen Nationalisten Symon Petljura oder den Faschisten und Nazi-Kollaborateur Stepan Bandera als «Nationalhelden» zu installieren, verbessert die Sache nicht.

Während die USA und EU-Staaten zunehmend «ausländische Einmischung» (speziell russische) in «ihre Demokratien» wittern, betreiben sie genau dies seit Jahrzehnten in vielen Ländern der Welt. Die seit den 2000er Jahren bekannten «Farbrevolutionen» in Osteuropa werden oft als Methode des Regierungsumsturzes durch von außen gesteuerte «demokratische» Volksaufstände beschrieben. Diese Strategie geht auf Analysen zum «Schwarmverhalten» [9] seit den 1960er Jahren zurück (Studentenproteste), wo es um die potenzielle Wirksamkeit einer «rebellischen Hysterie» von Jugendlichen bei postmodernen Staatsstreichen geht. Heute nennt sich dieses gezielte Kanalisieren der Massen zur Beseitigung unkooperativer Regierungen «Soft-Power».

In der Ukraine gab es mit der «Orangen Revolution» 2004 und dem «Euromaidan» 2014 gleich zwei solcher «Aufstände». Der erste erzwang wegen angeblicher Unregelmäßigkeiten eine Wiederholung der Wahlen, was mit Wiktor Juschtschenko als neuem Präsidenten endete. Dieser war ehemaliger Direktor der Nationalbank und Befürworter einer Annäherung an EU und NATO. Seine Frau, die First Lady, ist US-amerikanische «Philanthropin» und war Beamtin im Weißen Haus in der Reagan- und der Bush-Administration.

Im Gegensatz zu diesem ersten Event endete der sogenannte Euromaidan unfriedlich und blutig. Die mehrwöchigen Proteste gegen Präsident Wiktor Janukowitsch, in Teilen wegen des nicht unterzeichneten Assoziierungsabkommens mit der EU, wurden zunehmend gewalttätiger und von Nationalisten und Faschisten des «Rechten Sektors» dominiert. Sie mündeten Ende Februar 2014 auf dem Kiewer Unabhängigkeitsplatz (Maidan) in einem Massaker durch Scharfschützen. Dass deren Herkunft und die genauen Umstände nicht geklärt wurden, störte die Medien nur wenig. [10]

Janukowitsch musste fliehen, er trat nicht zurück. Vielmehr handelte es sich um einen gewaltsamen, allem Anschein nach vom Westen inszenierten Putsch. Laut Jeffrey Sachs war das kein Geheimnis, außer vielleicht für die Bürger. Die USA unterstützten die Post-Maidan-Regierung nicht nur, sie beeinflussten auch ihre Bildung. Das geht unter anderem aus dem berühmten «Fuck the EU»-Telefonat der US-Chefdiplomatin für die Ukraine, Victoria Nuland, mit Botschafter Geoffrey Pyatt hervor.

Dieser Bruch der demokratischen Verfassung war letztlich der Auslöser für die anschließenden Krisen auf der Krim und im Donbass (Ostukraine). Angesichts der ukrainischen Geschichte mussten die nationalistischen Tendenzen und die Beteiligung der rechten Gruppen an dem Umsturz bei der russigsprachigen Bevölkerung im Osten ungute Gefühle auslösen. Es gab Kritik an der Übergangsregierung, Befürworter einer Abspaltung und auch für einen Anschluss an Russland.

Ebenso konnte Wladimir Putin in dieser Situation durchaus Bedenken wegen des Status der russischen Militärbasis für seine Schwarzmeerflotte in Sewastopol auf der Krim haben, für die es einen langfristigen Pachtvertrag mit der Ukraine gab. Was im März 2014 auf der Krim stattfand, sei keine Annexion, sondern eine Abspaltung (Sezession) nach einem Referendum gewesen, also keine gewaltsame Aneignung, urteilte der Rechtswissenschaftler Reinhard Merkel in der FAZ sehr detailliert begründet. Übrigens hatte die Krim bereits zu Zeiten der Sowjetunion den Status einer autonomen Republik innerhalb der Ukrainischen SSR.

Anfang April 2014 wurden in der Ostukraine die «Volksrepubliken» Donezk und Lugansk ausgerufen. Die Kiewer Übergangsregierung ging unter der Bezeichnung «Anti-Terror-Operation» (ATO) militärisch gegen diesen, auch von Russland instrumentalisierten Widerstand vor. Zufällig war kurz zuvor CIA-Chef John Brennan in Kiew. Die Maßnahmen gingen unter dem seit Mai neuen ukrainischen Präsidenten, dem Milliardär Petro Poroschenko, weiter. Auch Wolodymyr Selenskyj beendete den Bürgerkrieg nicht, als er 2019 vom Präsidenten-Schauspieler, der Oligarchen entmachtet, zum Präsidenten wurde. Er fuhr fort, die eigene Bevölkerung zu bombardieren.

Mit dem Einmarsch russischer Truppen in die Ostukraine am 24. Februar 2022 begann die zweite Phase des Krieges. Die Wochen und Monate davor waren intensiv. Im November hatte die Ukraine mit den USA ein Abkommen über eine «strategische Partnerschaft» unterzeichnet. Darin sagten die Amerikaner ihre Unterstützung der EU- und NATO-Perspektive der Ukraine sowie quasi für die Rückeroberung der Krim zu. Dagegen ließ Putin der NATO und den USA im Dezember 2021 einen Vertragsentwurf über beiderseitige verbindliche Sicherheitsgarantien zukommen, den die NATO im Januar ablehnte. Im Februar eskalierte laut OSZE die Gewalt im Donbass.

Bereits wenige Wochen nach der Invasion, Ende März 2022, kam es in Istanbul zu Friedensverhandlungen, die fast zu einer Lösung geführt hätten. Dass der Krieg nicht damals bereits beendet wurde, lag daran, dass der Westen dies nicht wollte. Man war der Meinung, Russland durch die Ukraine in diesem Stellvertreterkrieg auf Dauer militärisch schwächen zu können. Angesichts von Hunderttausenden Toten, Verletzten und Traumatisierten, die als Folge seitdem zu beklagen sind, sowie dem Ausmaß der Zerstörung, fehlen einem die Worte.

Hasst der Westen die Russen?

Diese Frage drängt sich auf, wenn man das oft unerträglich feindselige Gebaren beobachtet, das beileibe nicht neu ist und vor Doppelmoral trieft. Russland und speziell die Person Wladimir Putins werden regelrecht dämonisiert, was gleichzeitig scheinbar jede Form von Diplomatie ausschließt.

Russlands militärische Stärke, seine geografische Lage, sein Rohstoffreichtum oder seine unabhängige diplomatische Tradition sind sicher Störfaktoren für das US-amerikanische Bestreben, der Boss in einer unipolaren Welt zu sein. Ein womöglich funktionierender eurasischer Kontinent, insbesondere gute Beziehungen zwischen Russland und Deutschland, war indes schon vor dem Ersten Weltkrieg eine Sorge des britischen Imperiums.

Ein «Vergehen» von Präsident Putin könnte gewesen sein, dass er die neoliberale Schocktherapie à la IWF und den Ausverkauf des Landes (auch an US-Konzerne) beendete, der unter seinem Vorgänger herrschte. Dabei zeigte er sich als Führungspersönlichkeit und als nicht so formbar wie Jelzin. Diese Aspekte allein sind aber heute vermutlich keine ausreichende Erklärung für ein derart gepflegtes Feindbild.

Der Historiker und Philosoph Hauke Ritz erweitert den Fokus der Fragestellung zu: «Warum hasst der Westen die Russen so sehr?», was er zum Beispiel mit dem Medienforscher Michael Meyen und mit der Politikwissenschaftlerin Ulrike Guérot bespricht. Ritz stellt die interessante These [11] auf, dass Russland eine Provokation für den Westen sei, welcher vor allem dessen kulturelles und intellektuelles Potenzial fürchte.

Die Russen sind Europäer aber anders, sagt Ritz. Diese «Fremdheit in der Ähnlichkeit» erzeuge vielleicht tiefe Ablehnungsgefühle. Obwohl Russlands Identität in der europäischen Kultur verwurzelt ist, verbinde es sich immer mit der Opposition in Europa. Als Beispiele nennt er die Kritik an der katholischen Kirche oder die Verbindung mit der Arbeiterbewegung. Christen, aber orthodox; Sozialismus statt Liberalismus. Das mache das Land zum Antagonisten des Westens und zu einer Bedrohung der Machtstrukturen in Europa.

Fazit

Selbstverständlich kann man Geschichte, Ereignisse und Entwicklungen immer auf verschiedene Arten lesen. Dieser Artikel, obwohl viel zu lang, konnte nur einige Aspekte der Ukraine-Tragödie anreißen, die in den offiziellen Darstellungen in der Regel nicht vorkommen. Mindestens dürfte damit jedoch klar geworden sein, dass die Russische Föderation bzw. Wladimir Putin nicht der alleinige Aggressor in diesem Konflikt ist. Das ist ein Stellvertreterkrieg zwischen USA/NATO (gut) und Russland (böse); die Ukraine (edel) wird dabei schlicht verheizt.

Das ist insofern von Bedeutung, als die gesamte europäische Kriegshysterie auf sorgsam kultivierten Freund-Feind-Bildern beruht. Nur so kann Konfrontation und Eskalation betrieben werden, denn damit werden die wahren Hintergründe und Motive verschleiert. Angst und Propaganda sind notwendig, damit die Menschen den Wahnsinn mitmachen. Sie werden belogen, um sie zuerst zu schröpfen und anschließend auf die Schlachtbank zu schicken. Das kann niemand wollen, außer den stets gleichen Profiteuren: die Rüstungs-Lobby und die großen Investoren, die schon immer an Zerstörung und Wiederaufbau verdient haben.

Apropos Investoren: Zu den Top-Verdienern und somit Hauptinteressenten an einer Fortführung des Krieges zählt BlackRock, einer der weltgrößten Vermögensverwalter. Der deutsche Bundeskanzler in spe, Friedrich Merz, der gerne «Taurus»-Marschflugkörper an die Ukraine liefern und die Krim-Brücke zerstören möchte, war von 2016 bis 2020 Aufsichtsratsvorsitzender von BlackRock in Deutschland. Aber das hat natürlich nichts zu sagen, der Mann macht nur seinen Job.

Es ist ein Spiel der Kräfte, es geht um Macht und strategische Kontrolle, um Geheimdienste und die Kontrolle der öffentlichen Meinung, um Bodenschätze, Rohstoffe, Pipelines und Märkte. Das klingt aber nicht sexy, «Demokratie und Menschenrechte» hört sich besser und einfacher an. Dabei wäre eine für alle Seiten förderliche Politik auch nicht so kompliziert; das Handwerkszeug dazu nennt sich Diplomatie. Noch einmal Gabriele Krone-Schmalz:

«Friedliche Politik ist nichts anderes als funktionierender Interessenausgleich. Da geht’s nicht um Moral.»

Die Situation in der Ukraine ist sicher komplex, vor allem wegen der inneren Zerrissenheit. Es dürfte nicht leicht sein, eine friedliche Lösung für das Zusammenleben zu finden, aber die Beteiligten müssen es vor allem wollen. Unter den gegebenen Umständen könnte eine sinnvolle Perspektive mit Neutralität und föderalen Strukturen zu tun haben.

Allen, die sich bis hierher durch die Lektüre gearbeitet (oder auch einfach nur runtergescrollt) haben, wünsche ich frohe Oster-Friedenstage!

[Titelbild: Pixabay; Abb. 1 und 2: nach Ganser/SIPER; Abb. 3: SIPER]

--- Quellen: ---

[1] Albrecht Müller, «Glaube wenig. Hinterfrage alles. Denke selbst.», Westend 2019

[2] Zwei nette Beispiele:

• ARD-faktenfinder (sic), «Viel Aufmerksamkeit für fragwürdige Experten», 03/2023
• Neue Zürcher Zeitung, «Aufstieg und Fall einer Russlandversteherin – die ehemalige ARD-Korrespondentin Gabriele Krone-Schmalz rechtfertigt seit Jahren Putins Politik», 12/2022

[3] George Washington University, «NATO Expansion: What Gorbachev Heard – Declassified documents show security assurances against NATO expansion to Soviet leaders from Baker, Bush, Genscher, Kohl, Gates, Mitterrand, Thatcher, Hurd, Major, and Woerner», 12/2017

[4] Beispielsweise Wladimir Putin bei seiner Rede im Deutschen Bundestag, 25/09/2001

[5] William Engdahl, «Full Spectrum Dominance, Totalitarian Democracy In The New World Order», edition.engdahl 2009

[6] Daniele Ganser, «Illegale Kriege – Wie die NATO-Länder die UNO sabotieren. Eine Chronik von Kuba bis Syrien», Orell Füssli 2016

[7] Gabriele Krone-Schmalz, «Mit Friedensjournalismus gegen ‘Kriegstüchtigkeit’», Vortrag und Diskussion an der Universität Hamburg, veranstaltet von engagierten Studenten, 16/01/2025\ → Hier ist ein ähnlicher Vortrag von ihr (Video), den ich mit spanischer Übersetzung gefunden habe.

[8] Für mehr Hintergrund und Details empfehlen sich z.B. folgende Bücher:

• Mathias Bröckers, Paul Schreyer, «Wir sind immer die Guten», Westend 2019
• Gabriele Krone-Schmalz, «Russland verstehen? Der Kampf um die Ukraine und die Arroganz des Westens», Westend 2023
• Patrik Baab, «Auf beiden Seiten der Front – Meine Reisen in die Ukraine», Fiftyfifty 2023

[9] vgl. Jonathan Mowat, «Washington's New World Order "Democratization" Template», 02/2005 und RAND Corporation, «Swarming and the Future of Conflict», 2000

[10] Bemerkenswert einige Beiträge, von denen man später nichts mehr wissen wollte:

• ARD Monitor, «Todesschüsse in Kiew: Wer ist für das Blutbad vom Maidan verantwortlich», 10/04/2014, Transkript hier
• Telepolis, «Blutbad am Maidan: Wer waren die Todesschützen?», 12/04/2014
• Telepolis, «Scharfschützenmorde in Kiew», 14/12/2014
• Deutschlandfunk, «Gefahr einer Spirale nach unten», Interview mit Günter Verheugen, 18/03/2014
• NDR Panorama, «Putsch in Kiew: Welche Rolle spielen die Faschisten?», 06/03/2014

[11] Hauke Ritz, «Vom Niedergang des Westens zur Neuerfindung Europas», 2024

---

Dieser Beitrag wurde mit dem Pareto-Client geschrieben.

@ dd3548d4:cedd4a2c

Twelve Grounds | Dvādaśa Bhūmayaḥ | द्वादश भूमय

1 प्रस्थानी​ | Prasthānī | The Stage of Setting Out | A 2 विचारणी​ | Vicāraṇī | The Stage of Exploration | B 3 परिणीता​ | Pariṇītā​ | The Stage of Culmination | C 4 सुदुर्मेधा​ | Sudurmedhā | The Stage of Profound Wisdom | D 5 अभिनिष्क्रमणी​ | Abhiniṣkramaṇī​ | The Stage of Ascension | E 6 अभिमुखी​ | Abhimukhī​ | The Stage of Direct Approach | F 7 दुर्निवारणी​ | Durnivāraṇī | The Stage of Irresistibility | AA 8 अचला​ | Acalā​ | The Stage of Immovability | BB 9 साधुमती​ | Sādhumatī​ | The Stage of Pure Wisdom | CC 10 धर्ममेघा​ | Dharmameghā​ | The Stage of the Dharma Cloud | DD 11 निश्चयावस्था​ | Niścayāvasthā | The Stage of Certainty | EE 12 सर्वार्थसिद्धि​ | Sarvārthasiddhi​ | The Stage of Perfect Fulfillment | FF

each 12 1/2 x 16 1/8 [ inches ] | Saunders Waterford 300g/sq m

Homage to unconfined vastness, the primordial complet​eness of the three kayas.

www.billtoole.net

@ 88cc134b:5ae99079

Text

@ a4a6b584:1e05b95b

The Four-Layer Framework

Layer 1: Zoom Out

Start by looking at the big picture. What’s the subject about, and why does it matter? Focus on the overarching ideas and how they fit together. Think of this as the 30,000-foot view—it’s about understanding the "why" and "how" before diving into the "what."

Example: If you’re learning programming, start by understanding that it’s about giving logical instructions to computers to solve problems.

• Tip: Keep it simple. Summarize the subject in one or two sentences and avoid getting bogged down in specifics at this stage.

Once you have the big picture in mind, it’s time to start breaking it down.

---

Layer 2: Categorize and Connect

Now it’s time to break the subject into categories—like creating branches on a tree. This helps your brain organize information logically and see connections between ideas.

Example: Studying biology? Group concepts into categories like cells, genetics, and ecosystems.

• Tip: Use headings or labels to group similar ideas. Jot these down in a list or simple diagram to keep track.

With your categories in place, you’re ready to dive into the details that bring them to life.

---

Layer 3: Master the Details

Once you’ve mapped out the main categories, you’re ready to dive deeper. This is where you learn the nuts and bolts—like formulas, specific techniques, or key terminology. These details make the subject practical and actionable.

Example: In programming, this might mean learning the syntax for loops, conditionals, or functions in your chosen language.

• Tip: Focus on details that clarify the categories from Layer 2. Skip anything that doesn’t add to your understanding.

Now that you’ve mastered the essentials, you can expand your knowledge to include extra material.

---

Layer 4: Expand Your Horizons

Finally, move on to the extra material—less critical facts, trivia, or edge cases. While these aren’t essential to mastering the subject, they can be useful in specialized discussions or exams.

Example: Learn about rare programming quirks or historical trivia about a language’s development.

• Tip: Spend minimal time here unless it’s necessary for your goals. It’s okay to skim if you’re short on time.

---

Pro Tips for Better Learning

1. Use Active Recall and Spaced Repetition

Test yourself without looking at notes. Review what you’ve learned at increasing intervals—like after a day, a week, and a month. This strengthens memory by forcing your brain to actively retrieve information.

2. Map It Out

Create visual aids like diagrams or concept maps to clarify relationships between ideas. These are particularly helpful for organizing categories in Layer 2.

3. Teach What You Learn

Explain the subject to someone else as if they’re hearing it for the first time. Teaching exposes any gaps in your understanding and helps reinforce the material.

4. Engage with LLMs and Discuss Concepts

Take advantage of tools like ChatGPT or similar large language models to explore your topic in greater depth. Use these tools to:
- Ask specific questions to clarify confusing points.
- Engage in discussions to simulate real-world applications of the subject.
- Generate examples or analogies that deepen your understanding.

Tip: Use LLMs as a study partner, but don’t rely solely on them. Combine these insights with your own critical thinking to develop a well-rounded perspective.

---

Get Started

Ready to try the Four-Layer Method? Take 15 minutes today to map out the big picture of a topic you’re curious about—what’s it all about, and why does it matter? By building your understanding step by step, you’ll master the subject with less stress and more confidence.

@ fe32298e:20516265

Today I learned how to install NVapi to monitor my GPUs in Home Assistant.

NVApi is a lightweight API designed for monitoring NVIDIA GPU utilization and enabling automated power management. It provides real-time GPU metrics, supports integration with tools like Home Assistant, and offers flexible power management and PCIe link speed management based on workload and thermal conditions.

• GPU Utilization Monitoring: Utilization, memory usage, temperature, fan speed, and power consumption.
• Automated Power Limiting: Adjusts power limits dynamically based on temperature thresholds and total power caps, configurable per GPU or globally.
• Cross-GPU Coordination: Total power budget applies across multiple GPUs in the same system.
• PCIe Link Speed Management: Controls minimum and maximum PCIe link speeds with idle thresholds for power optimization.
• Home Assistant Integration: Uses the built-in RESTful platform and template sensors.

Getting the Data

sudo apt install golang-go git clone https://github.com/sammcj/NVApi.git cd NVapi go run main.go -port 9999 -rate 1 curl http://localhost:9999/gpu

Response for a single GPU: [ { "index": 0, "name": "NVIDIA GeForce RTX 4090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 16, "power_limit_watts": 450, "memory_total_gb": 23.99, "memory_used_gb": 0.46, "memory_free_gb": 23.52, "memory_usage_percent": 2, "temperature": 38, "processes": [], "pcie_link_state": "not managed" } ]

Response for multiple GPUs: [ { "index": 0, "name": "NVIDIA GeForce RTX 3090", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 14, "power_limit_watts": 350, "memory_total_gb": 24, "memory_used_gb": 0.43, "memory_free_gb": 23.57, "memory_usage_percent": 2, "temperature": 36, "processes": [], "pcie_link_state": "not managed" }, { "index": 1, "name": "NVIDIA RTX A4000", "gpu_utilisation": 0, "memory_utilisation": 0, "power_watts": 10, "power_limit_watts": 140, "memory_total_gb": 15.99, "memory_used_gb": 0.56, "memory_free_gb": 15.43, "memory_usage_percent": 3, "temperature": 41, "processes": [], "pcie_link_state": "not managed" } ]

Start at Boot

Create /etc/systemd/system/nvapi.service:

``` [Unit] Description=Run NVapi After=network.target

[Service] Type=simple Environment="GOPATH=/home/ansible/go" WorkingDirectory=/home/ansible/NVapi ExecStart=/usr/bin/go run main.go -port 9999 -rate 1 Restart=always User=ansible

Environment="GPU_TEMP_CHECK_INTERVAL=5"

Environment="GPU_TOTAL_POWER_CAP=400"

Environment="GPU_0_LOW_TEMP=40"

Environment="GPU_0_MEDIUM_TEMP=70"

Environment="GPU_0_LOW_TEMP_LIMIT=135"

Environment="GPU_0_MEDIUM_TEMP_LIMIT=120"

Environment="GPU_0_HIGH_TEMP_LIMIT=100"

Environment="GPU_1_LOW_TEMP=45"

Environment="GPU_1_MEDIUM_TEMP=75"

Environment="GPU_1_LOW_TEMP_LIMIT=140"

Environment="GPU_1_MEDIUM_TEMP_LIMIT=125"

Environment="GPU_1_HIGH_TEMP_LIMIT=110"

[Install] WantedBy=multi-user.target ```

Home Assistant

Add to Home Assistant configuration.yaml and restart HA (completely).

For a single GPU, this works: ``` sensor: - platform: rest name: MYPC GPU Information resource: http://mypc:9999 method: GET headers: Content-Type: application/json value_template: "{{ value_json[0].index }}" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature scan_interval: 1 # seconds

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} GPU" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Memory" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC {{ state_attr('sensor.mypc_gpu_information', 'name') }} Temperature" value_template: "{{ state_attr('sensor.mypc_gpu_information', 'temperature') }}" unit_of_measurement: "°C" ```

For multiple GPUs: ``` rest: scan_interval: 1 resource: http://mypc:9999 sensor: - name: "MYPC GPU0 Information" value_template: "{{ value_json[0].index }}" json_attributes_path: "$.0" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature - name: "MYPC GPU1 Information" value_template: "{{ value_json[1].index }}" json_attributes_path: "$.1" json_attributes: - name - gpu_utilisation - memory_utilisation - power_watts - power_limit_watts - memory_total_gb - memory_used_gb - memory_free_gb - memory_usage_percent - temperature

• platform: template sensors: mypc_gpu_0_gpu: friendly_name: "MYPC GPU0 GPU" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_memory: friendly_name: "MYPC GPU0 Memory" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_0_power: friendly_name: "MYPC GPU0 Power" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_0_power_limit: friendly_name: "MYPC GPU0 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_0_temperature: friendly_name: "MYPC GPU0 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu0_information', 'temperature') }}" unit_of_measurement: "C"

• platform: template sensors: mypc_gpu_1_gpu: friendly_name: "MYPC GPU1 GPU" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'gpu_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_memory: friendly_name: "MYPC GPU1 Memory" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'memory_utilisation') }}" unit_of_measurement: "%" mypc_gpu_1_power: friendly_name: "MYPC GPU1 Power" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_watts') }}" unit_of_measurement: "W" mypc_gpu_1_power_limit: friendly_name: "MYPC GPU1 Power Limit" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'power_limit_watts') }}" unit_of_measurement: "W" mypc_gpu_1_temperature: friendly_name: "MYPC GPU1 Temperature" value_template: "{{ state_attr('sensor.mypc_gpu1_information', 'temperature') }}" unit_of_measurement: "C"

```

Basic entity card: type: entities entities: - entity: sensor.mypc_gpu_0_gpu secondary_info: last-updated - entity: sensor.mypc_gpu_0_memory secondary_info: last-updated - entity: sensor.mypc_gpu_0_power secondary_info: last-updated - entity: sensor.mypc_gpu_0_power_limit secondary_info: last-updated - entity: sensor.mypc_gpu_0_temperature secondary_info: last-updated

Ansible Role

```

• name: install go become: true package: name: golang-go state: present

• name: git clone git: repo: "https://github.com/sammcj/NVApi.git" dest: "/home/ansible/NVapi" update: yes force: true

go run main.go -port 9999 -rate 1

• name: install systemd service become: true copy: src: nvapi.service dest: /etc/systemd/system/nvapi.service

• name: Reload systemd daemons, enable, and restart nvapi become: true systemd: name: nvapi daemon_reload: yes enabled: yes state: restarted ```

@ 21335073:a244b1ad

I want to see Nostr succeed. If you can think of a way I can help make that happen, I’m open to it. I’d like your suggestions.

My schedule’s shifting soon, and I could volunteer a few hours a week to a Nostr project. I won’t have more total time, but how I use it will change.

Why help? I care about freedom. Nostr’s one of the most powerful freedom tools I’ve seen in my lifetime. If I believe that, I should act on it.

I don’t care about money or sats. I’m not rich, I don’t have extra cash. That doesn’t drive me—freedom does. I’m volunteering, not asking for pay.

I’m not here for clout. I’ve had enough spotlight in my life; it doesn’t move me. If I wanted clout, I’d be on Twitter dropping basic takes. Clout’s easy. Freedom’s hard. I’d rather help anonymously. No speaking at events—small meetups are cool for the vibe, but big conferences? Not my thing. I’ll never hit a huge Bitcoin conference. It’s just not my scene.

That said, I could be convinced to step up if it’d really boost Nostr—as long as it’s legal and gets results.

In this space, I’d watch for social engineering. I watch out for it. I’m not here to make friends, just to help. No shade—you all seem great—but I’ve got a full life and awesome friends irl. I don’t need your crew or to be online cool. Connect anonymously if you want; I’d encourage it.

I’m sick of watching other social media alternatives grow while Nostr kinda stalls. I could trash-talk, but I’d rather do something useful.

Skills? I’m good at spotting social media problems and finding possible solutions. I won’t overhype myself—that’s weird—but if you’re responding, you probably see something in me. Perhaps you see something that I don’t see in myself.

If you need help now or later with Nostr projects, reach out. Nostr only—nothing else. Anonymous contact’s fine. Even just a suggestion on how I can pitch in, no project attached, works too. 💜

Creeps or harassment will get blocked or I’ll nuke my simplex code if it becomes a problem.

https://simplex.chat/contact#/?v=2-4&smp=smp%3A%2F%2FSkIkI6EPd2D63F4xFKfHk7I1UGZVNn6k1QWZ5rcyr6w%3D%40smp9.simplex.im%2FbI99B3KuYduH8jDr9ZwyhcSxm2UuR7j0%23%2F%3Fv%3D1-2%26dh%3DMCowBQYDK2VuAyEAS9C-zPzqW41PKySfPCEizcXb1QCus6AyDkTTjfyMIRM%253D%26srv%3Djssqzccmrcws6bhmn77vgmhfjmhwlyr3u7puw4erkyoosywgl67slqqd.onion

@ 6e64b83c:94102ee8

Nostr-static is a powerful static site generator that transforms long-form Nostr content into beautiful, standalone websites. It makes your content accessible to everyone, even those not using Nostr clients. For more information check out my previous blog post How to Create a Blog Out of Nostr Long-Form Articles

What's New in Version 0.7?

RSS and Atom Feeds

Version 0.7 brings comprehensive feed support with both RSS and Atom formats. The system automatically generates feeds for your main content, individual profiles, and tag-specific pages. These feeds are seamlessly integrated into your site's header, making them easily discoverable by feed readers and content aggregators.

This feature bridges the gap between Nostr and traditional web publishing, allowing your content to reach readers who prefer feed readers or automated content distribution systems.

Smart Content Discovery

The new tag discovery system enhances your readers' experience by automatically finding and recommending relevant articles from the Nostr network. It works by:

1. Analyzing the tags in your articles
2. Fetching popular articles from Nostr that share these tags
3. Using configurable weights to rank these articles based on:
4. Engagement metrics (reactions, reposts, replies)
5. Zap statistics (amount, unique zappers, average zap size)
6. Content quality signals (report penalties)

This creates a dynamic "Recommended Articles" section that helps readers discover more content they might be interested in, all while staying within the Nostr ecosystem.

See the new features yourself by visiting our demo at: https://blog.nostrize.me

@ 6f6b50bb:a848e5a1

Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

• Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

• Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!Che cosa significherebbe trattare l'IA come uno strumento invece che come una persona?

Dall’avvio di ChatGPT, le esplorazioni in due direzioni hanno preso velocità.

La prima direzione riguarda le capacità tecniche. Quanto grande possiamo addestrare un modello? Quanto bene può rispondere alle domande del SAT? Con quanta efficienza possiamo distribuirlo?

La seconda direzione riguarda il design dell’interazione. Come comunichiamo con un modello? Come possiamo usarlo per un lavoro utile? Quale metafora usiamo per ragionare su di esso?

La prima direzione è ampiamente seguita e enormemente finanziata, e per una buona ragione: i progressi nelle capacità tecniche sono alla base di ogni possibile applicazione. Ma la seconda è altrettanto cruciale per il campo e ha enormi incognite. Siamo solo a pochi anni dall’inizio dell’era dei grandi modelli. Quali sono le probabilità che abbiamo già capito i modi migliori per usarli?

Propongo una nuova modalità di interazione, in cui i modelli svolgano il ruolo di applicazioni informatiche (ad esempio app per telefoni): fornendo un’interfaccia grafica, interpretando gli input degli utenti e aggiornando il loro stato. In questa modalità, invece di essere un “agente” che utilizza un computer per conto dell’essere umano, l’IA può fornire un ambiente informatico più ricco e potente che possiamo utilizzare.

Metafore per l’interazione

Al centro di un’interazione c’è una metafora che guida le aspettative di un utente su un sistema. I primi giorni dell’informatica hanno preso metafore come “scrivanie”, “macchine da scrivere”, “fogli di calcolo” e “lettere” e le hanno trasformate in equivalenti digitali, permettendo all’utente di ragionare sul loro comportamento. Puoi lasciare qualcosa sulla tua scrivania e tornare a prenderlo; hai bisogno di un indirizzo per inviare una lettera. Man mano che abbiamo sviluppato una conoscenza culturale di questi dispositivi, la necessità di queste particolari metafore è scomparsa, e con esse i design di interfaccia skeumorfici che le rafforzavano. Come un cestino o una matita, un computer è ora una metafora di se stesso.

La metafora dominante per i grandi modelli oggi è modello-come-persona. Questa è una metafora efficace perché le persone hanno capacità estese che conosciamo intuitivamente. Implica che possiamo avere una conversazione con un modello e porgli domande; che il modello possa collaborare con noi su un documento o un pezzo di codice; che possiamo assegnargli un compito da svolgere da solo e che tornerà quando sarà finito.

Tuttavia, trattare un modello come una persona limita profondamente il nostro modo di pensare all’interazione con esso. Le interazioni umane sono intrinsecamente lente e lineari, limitate dalla larghezza di banda e dalla natura a turni della comunicazione verbale. Come abbiamo tutti sperimentato, comunicare idee complesse in una conversazione è difficile e dispersivo. Quando vogliamo precisione, ci rivolgiamo invece a strumenti, utilizzando manipolazioni dirette e interfacce visive ad alta larghezza di banda per creare diagrammi, scrivere codice e progettare modelli CAD. Poiché concepiamo i modelli come persone, li utilizziamo attraverso conversazioni lente, anche se sono perfettamente in grado di accettare input diretti e rapidi e di produrre risultati visivi. Le metafore che utilizziamo limitano le esperienze che costruiamo, e la metafora modello-come-persona ci impedisce di esplorare il pieno potenziale dei grandi modelli.

Per molti casi d’uso, e specialmente per il lavoro produttivo, credo che il futuro risieda in un’altra metafora: modello-come-computer.

Usare un’IA come un computer

Sotto la metafora modello-come-computer, interagiremo con i grandi modelli seguendo le intuizioni che abbiamo sulle applicazioni informatiche (sia su desktop, tablet o telefono). Nota che ciò non significa che il modello sarà un’app tradizionale più di quanto il desktop di Windows fosse una scrivania letterale. “Applicazione informatica” sarà un modo per un modello di rappresentarsi a noi. Invece di agire come una persona, il modello agirà come un computer.

Agire come un computer significa produrre un’interfaccia grafica. Al posto del flusso lineare di testo in stile telescrivente fornito da ChatGPT, un sistema modello-come-computer genererà qualcosa che somiglia all’interfaccia di un’applicazione moderna: pulsanti, cursori, schede, immagini, grafici e tutto il resto. Questo affronta limitazioni chiave dell’interfaccia di chat standard modello-come-persona:

Scoperta. Un buon strumento suggerisce i suoi usi. Quando l’unica interfaccia è una casella di testo vuota, spetta all’utente capire cosa fare e comprendere i limiti del sistema. La barra laterale Modifica in Lightroom è un ottimo modo per imparare l’editing fotografico perché non si limita a dirti cosa può fare questa applicazione con una foto, ma cosa potresti voler fare. Allo stesso modo, un’interfaccia modello-come-computer per DALL-E potrebbe mostrare nuove possibilità per le tue generazioni di immagini.

Efficienza. La manipolazione diretta è più rapida che scrivere una richiesta a parole. Per continuare l’esempio di Lightroom, sarebbe impensabile modificare una foto dicendo a una persona quali cursori spostare e di quanto. Ci vorrebbe un giorno intero per chiedere un’esposizione leggermente più bassa e una vibranza leggermente più alta, solo per vedere come apparirebbe. Nella metafora modello-come-computer, il modello può creare strumenti che ti permettono di comunicare ciò che vuoi più efficientemente e quindi di fare le cose più rapidamente.

A differenza di un’app tradizionale, questa interfaccia grafica è generata dal modello su richiesta. Questo significa che ogni parte dell’interfaccia che vedi è rilevante per ciò che stai facendo in quel momento, inclusi i contenuti specifici del tuo lavoro. Significa anche che, se desideri un’interfaccia più ampia o diversa, puoi semplicemente richiederla. Potresti chiedere a DALL-E di produrre alcuni preset modificabili per le sue impostazioni ispirati da famosi artisti di schizzi. Quando clicchi sul preset Leonardo da Vinci, imposta i cursori per disegni prospettici altamente dettagliati in inchiostro nero. Se clicchi su Charles Schulz, seleziona fumetti tecnicolor 2D a basso dettaglio.

Una bicicletta della mente proteiforme

La metafora modello-come-persona ha una curiosa tendenza a creare distanza tra l’utente e il modello, rispecchiando il divario di comunicazione tra due persone che può essere ridotto ma mai completamente colmato. A causa della difficoltà e del costo di comunicare a parole, le persone tendono a suddividere i compiti tra loro in blocchi grandi e il più indipendenti possibile. Le interfacce modello-come-persona seguono questo schema: non vale la pena dire a un modello di aggiungere un return statement alla tua funzione quando è più veloce scriverlo da solo. Con il sovraccarico della comunicazione, i sistemi modello-come-persona sono più utili quando possono fare un intero blocco di lavoro da soli. Fanno le cose per te.

Questo contrasta con il modo in cui interagiamo con i computer o altri strumenti. Gli strumenti producono feedback visivi in tempo reale e sono controllati attraverso manipolazioni dirette. Hanno un overhead comunicativo così basso che non è necessario specificare un blocco di lavoro indipendente. Ha più senso mantenere l’umano nel loop e dirigere lo strumento momento per momento. Come stivali delle sette leghe, gli strumenti ti permettono di andare più lontano a ogni passo, ma sei ancora tu a fare il lavoro. Ti permettono di fare le cose più velocemente.

Considera il compito di costruire un sito web usando un grande modello. Con le interfacce di oggi, potresti trattare il modello come un appaltatore o un collaboratore. Cercheresti di scrivere a parole il più possibile su come vuoi che il sito appaia, cosa vuoi che dica e quali funzionalità vuoi che abbia. Il modello genererebbe una prima bozza, tu la eseguirai e poi fornirai un feedback. “Fai il logo un po’ più grande”, diresti, e “centra quella prima immagine principale”, e “deve esserci un pulsante di login nell’intestazione”. Per ottenere esattamente ciò che vuoi, invierai una lista molto lunga di richieste sempre più minuziose.

Un’interazione alternativa modello-come-computer sarebbe diversa: invece di costruire il sito web, il modello genererebbe un’interfaccia per te per costruirlo, dove ogni input dell’utente a quell’interfaccia interroga il grande modello sotto il cofano. Forse quando descrivi le tue necessità creerebbe un’interfaccia con una barra laterale e una finestra di anteprima. All’inizio la barra laterale contiene solo alcuni schizzi di layout che puoi scegliere come punto di partenza. Puoi cliccare su ciascuno di essi, e il modello scrive l’HTML per una pagina web usando quel layout e lo visualizza nella finestra di anteprima. Ora che hai una pagina su cui lavorare, la barra laterale guadagna opzioni aggiuntive che influenzano la pagina globalmente, come accoppiamenti di font e schemi di colore. L’anteprima funge da editor WYSIWYG, permettendoti di afferrare elementi e spostarli, modificarne i contenuti, ecc. A supportare tutto ciò è il modello, che vede queste azioni dell’utente e riscrive la pagina per corrispondere ai cambiamenti effettuati. Poiché il modello può generare un’interfaccia per aiutare te e lui a comunicare più efficientemente, puoi esercitare più controllo sul prodotto finale in meno tempo.

La metafora modello-come-computer ci incoraggia a pensare al modello come a uno strumento con cui interagire in tempo reale piuttosto che a un collaboratore a cui assegnare compiti. Invece di sostituire un tirocinante o un tutor, può essere una sorta di bicicletta proteiforme per la mente, una che è sempre costruita su misura esattamente per te e il terreno che intendi attraversare.

Un nuovo paradigma per l’informatica?

I modelli che possono generare interfacce su richiesta sono una frontiera completamente nuova nell’informatica. Potrebbero essere un paradigma del tutto nuovo, con il modo in cui cortocircuitano il modello di applicazione esistente. Dare agli utenti finali il potere di creare e modificare app al volo cambia fondamentalmente il modo in cui interagiamo con i computer. Al posto di una singola applicazione statica costruita da uno sviluppatore, un modello genererà un’applicazione su misura per l’utente e le sue esigenze immediate. Al posto della logica aziendale implementata nel codice, il modello interpreterà gli input dell’utente e aggiornerà l’interfaccia utente. È persino possibile che questo tipo di interfaccia generativa sostituisca completamente il sistema operativo, generando e gestendo interfacce e finestre al volo secondo necessità.

All’inizio, l’interfaccia generativa sarà un giocattolo, utile solo per l’esplorazione creativa e poche altre applicazioni di nicchia. Dopotutto, nessuno vorrebbe un’app di posta elettronica che occasionalmente invia email al tuo ex e mente sulla tua casella di posta. Ma gradualmente i modelli miglioreranno. Anche mentre si spingeranno ulteriormente nello spazio di esperienze completamente nuove, diventeranno lentamente abbastanza affidabili da essere utilizzati per un lavoro reale.

Piccoli pezzi di questo futuro esistono già. Anni fa Jonas Degrave ha dimostrato che ChatGPT poteva fare una buona simulazione di una riga di comando Linux. Allo stesso modo, websim.ai utilizza un LLM per generare siti web su richiesta mentre li navighi. Oasis, GameNGen e DIAMOND addestrano modelli video condizionati sull’azione su singoli videogiochi, permettendoti di giocare ad esempio a Doom dentro un grande modello. E Genie 2 genera videogiochi giocabili da prompt testuali. L’interfaccia generativa potrebbe ancora sembrare un’idea folle, ma non è così folle.

Ci sono enormi domande aperte su come apparirà tutto questo. Dove sarà inizialmente utile l’interfaccia generativa? Come condivideremo e distribuiremo le esperienze che creiamo collaborando con il modello, se esistono solo come contesto di un grande modello? Vorremmo davvero farlo? Quali nuovi tipi di esperienze saranno possibili? Come funzionerà tutto questo in pratica? I modelli genereranno interfacce come codice o produrranno direttamente pixel grezzi?

Non conosco ancora queste risposte. Dovremo sperimentare e scoprirlo!

Tradotto da:\ https://willwhitney.com/computing-inside-ai.htmlhttps://willwhitney.com/computing-inside-ai.html

@ 01acb73f:5a8e92a9

O universo dos jogos online está cada vez mais diversificado e atrativo para os brasileiros que buscam entretenimento e adrenalina. Nesse cenário, o Forró777 se destaca como uma plataforma inovadora e completa, oferecendo uma experiência única para quem quer unir diversão, praticidade e chances reais de premiação. Com um ambiente virtual moderno, suporte eficiente e uma grande variedade de jogos, o Forró777 conquistou seu espaço no mercado e vem se tornando a escolha preferida de muitos jogadores.

Uma Plataforma que Fala a Língua do Brasileiro Desde o primeiro acesso, o Forró777 mostra que foi feito pensando no público brasileiro. A interface é amigável, com menus intuitivos e em português, o que facilita a navegação até para iniciantes. A plataforma funciona de forma fluida tanto em computadores quanto em dispositivos móveis, permitindo que o usuário jogue quando e onde quiser.

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Uma Experiência de Jogador Incomparável O grande diferencial do Forró777 está na experiência que ele proporciona. O site não é apenas uma plataforma de jogos, mas sim um ambiente de entretenimento completo. Os bônus e promoções frequentes são um atrativo à parte, com ofertas que incluem giros grátis, prêmios em dinheiro e recompensas exclusivas para novos usuários e jogadores fiéis.

Outro ponto muito elogiado pelos usuários é o programa de fidelidade, que premia jogadores frequentes com vantagens especiais, como atendimento VIP, cashback e bônus personalizados. Isso cria uma sensação de valorização que faz com que o jogador se sinta parte de uma comunidade exclusiva.

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@ e0a8cbd7:f642d154

分散型プロトコルNostr上でWeb bookmarkを見たり書いたりする「Nostr Web Bookmark Trend」を試してみました。

NostrのWeb Bookmarkingは「nip-B0 Web Bookmarking· nostr-protocol/nips · GitHub」で定義されています。

WEBブラウザの拡張による認証(NIP-07)でログインしました。
create new web bookmark(新規ブックマーク作成）を開くとこんな感じ。
URL入力部分において、https:// が外に出ているので、URLのhttps:// 部分を消して入力しないといけないのがちょっと面倒。 　↓
１個、投稿してみました。
アカウント名をクリックするとそのユーザが登録したbookmark一覧が表示されます。
以上、Nostr Web Bookmark Trendについてでした。

なお、本記事は「Nostr NIP-23 マークダウンエディタ」のテストのため、「NostrでWeb bookmark - あたしンちのおとうさんの独り言」と同じ内容を投稿したものです。

@ e6817453:b0ac3c39

I started a long series of articles about how to model different types of knowledge graphs in the relational model, which makes on-device memory models for AI agents possible.

We model-directed graphs

Also, graphs of entities

We even model hypergraphs

Last time, we discussed why classical triple and simple knowledge graphs are insufficient for AI agents and complex memory, especially in the domain of time-aware or multi-model knowledge.

So why do we need metagraphs, and what kind of challenge could they help us to solve?

• complex and nested event and temporal context and temporal relations as edges
• multi-mode and multilingual knowledge
• human-like memory for AI agents that has multiple contexts and relations between knowledge in neuron-like networks

MetaGraphs

A meta graph is a concept that extends the idea of a graph by allowing edges to become graphs. Meta Edges connect a set of nodes, which could also be subgraphs. So, at some level, node and edge are pretty similar in properties but act in different roles in a different context.
Also, in some cases, edges could be referenced as nodes.
This approach enables the representation of more complex relationships and hierarchies than a traditional graph structure allows. Let’s break down each term to understand better metagraphs and how they differ from hypergraphs and graphs.

Graph Basics

• A standard graph has a set of nodes (or vertices) and edges (connections between nodes).
• Edges are generally simple and typically represent a binary relationship between two nodes.
• For instance, an edge in a social network graph might indicate a “friend” relationship between two people (nodes).

Hypergraph

• A hypergraph extends the concept of an edge by allowing it to connect any number of nodes, not just two.
• Each connection, called a hyperedge, can link multiple nodes.
• This feature allows hypergraphs to model more complex relationships involving multiple entities simultaneously. For example, a hyperedge in a hypergraph could represent a project team, connecting all team members in a single relation.
• Despite its flexibility, a hypergraph doesn’t capture hierarchical or nested structures; it only generalizes the number of connections in an edge.

Metagraph

• A metagraph allows the edges to be graphs themselves. This means each edge can contain its own nodes and edges, creating nested, hierarchical structures.
• In a meta graph, an edge could represent a relationship defined by a graph. For instance, a meta graph could represent a network of organizations where each organization’s structure (departments and connections) is represented by its own internal graph and treated as an edge in the larger meta graph.
• This recursive structure allows metagraphs to model complex data with multiple layers of abstraction. They can capture multi-node relationships (as in hypergraphs) and detailed, structured information about each relationship.

Named Graphs and Graph of Graphs

As you can notice, the structure of a metagraph is quite complex and could be complex to model in relational and classical RDF setups. It could create a challenge of luck of tools and software solutions for your problem.
If you need to model nested graphs, you could use a much simpler model of Named graphs, which could take you quite far.

The concept of the named graph came from the RDF community, which needed to group some sets of triples. In this way, you form subgraphs inside an existing graph. You could refer to the subgraph as a regular node. This setup simplifies complex graphs, introduces hierarchies, and even adds features and properties of hypergraphs while keeping a directed nature.

It looks complex, but it is not so hard to model it with a slight modification of a directed graph.
So, the node could host graphs inside. Let's reflect this fact with a location for a node. If a node belongs to a main graph, we could set the location to null or introduce a main node . it is up to you

Nodes could have edges to nodes in different subgraphs. This structure allows any kind of nesting graphs. Edges stay location-free

Meta Graphs in Relational Model

Let’s try to make several attempts to model different meta-graphs with some constraints.

Directed Metagraph where edges are not used as nodes and could not contain subgraphs

In this case, the edge always points to two sets of nodes. This introduces an overhead of creating a node set for a single node. In this model, we can model empty node sets that could require application-level constraints to prevent such cases.

Directed Metagraph where edges are not used as nodes and could contain subgraphs

Adding a node set that could model a subgraph located in an edge is easy but could be separate from in-vertex or out-vert.
I also do not see a direct need to include subgraphs to a node, as we could just use a node set interchangeably, but it still could be a case.

Directed Metagraph where edges are used as nodes and could contain subgraphs

As you can notice, we operate all the time with node sets. We could simply allow the extension node set to elements set that include node and edge IDs, but in this case, we need to use uuid or any other strategy to differentiate node IDs from edge IDs. In this case, we have a collision of ephemeral edges or ephemeral nodes when we want to change the role and purpose of the node as an edge or vice versa.

A full-scale metagraph model is way too complex for a relational database.
So we need a better model.

Now, we have more flexibility but loose structural constraints. We cannot show that the element should have one vertex, one vertex, or both. This type of constraint has been moved to the application level. Also, the crucial question is about query and retrieval needs.
Any meta-graph model should be more focused on domain and needs and should be used in raw form. We did it for a pure theoretical purpose.

@ 5ffa0470:9c3e760a

@ 04c915da:3dfbecc9

In much of the world, it is incredibly difficult to access U.S. dollars. Local currencies are often poorly managed and riddled with corruption. Billions of people demand a more reliable alternative. While the dollar has its own issues of corruption and mismanagement, it is widely regarded as superior to the fiat currencies it competes with globally. As a result, Tether has found massive success providing low cost, low friction access to dollars. Tether claims 400 million total users, is on track to add 200 million more this year, processes 8.1 million transactions daily, and facilitates $29 billion in daily transfers. Furthermore, their estimates suggest nearly 40% of users rely on it as a savings tool rather than just a transactional currency.

Tether’s rise has made the company a financial juggernaut. Last year alone, Tether raked in over $13 billion in profit, with a lean team of less than 100 employees. Their business model is elegantly simple: hold U.S. Treasuries and collect the interest. With over $113 billion in Treasuries, Tether has turned a straightforward concept into a profit machine.

Tether’s success has resulted in many competitors eager to claim a piece of the pie. This has triggered a massive venture capital grift cycle in USD tokens, with countless projects vying to dethrone Tether. Due to Tether’s entrenched network effect, these challengers face an uphill battle with little realistic chance of success. Most educated participants in the space likely recognize this reality but seem content to perpetuate the grift, hoping to cash out by dumping their equity positions on unsuspecting buyers before they realize the reality of the situation.

Historically, Tether’s greatest vulnerability has been U.S. government intervention. For over a decade, the company operated offshore with few allies in the U.S. establishment, making it a major target for regulatory action. That dynamic has shifted recently and Tether has seized the opportunity. By actively courting U.S. government support, Tether has fortified their position. This strategic move will likely cement their status as the dominant USD token for years to come.

While undeniably a great tool for the millions of users that rely on it, Tether is not without flaws. As a centralized, trusted third party, it holds the power to freeze or seize funds at its discretion. Corporate mismanagement or deliberate malpractice could also lead to massive losses at scale. In their goal of mitigating regulatory risk, Tether has deepened ties with law enforcement, mirroring some of the concerns of potential central bank digital currencies. In practice, Tether operates as a corporate CBDC alternative, collaborating with authorities to surveil and seize funds. The company proudly touts partnerships with leading surveillance firms and its own data reveals cooperation in over 1,000 law enforcement cases, with more than $2.5 billion in funds frozen.

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The global demand for Tether is undeniable and the company’s profitability reflects its unrivaled success. Tether is owned and operated by bitcoiners and will likely continue to push forward strategic goals that help the movement as a whole. Recent efforts to mitigate the threat of U.S. government enforcement will likely solidify their network effect and stifle meaningful adoption of rival USD tokens or CBDCs. Yet, for all their achievements, Tether is simply a worse form of money than bitcoin. Tether requires trust in a centralized entity, while bitcoin can be saved or spent without permission. Furthermore, Tether is tied to the value of the US Dollar which is designed to lose purchasing power over time, while bitcoin, as a truly scarce asset, is designed to increase in purchasing power with adoption. As people awaken to the risks of Tether’s control, and the benefits bitcoin provides, bitcoin adoption will likely surpass it.

@ e6817453:b0ac3c39

Hey folks! Today, let’s dive into the intriguing world of neurosymbolic approaches, retrieval-augmented generation (RAG), and personal knowledge graphs (PKGs). Together, these concepts hold much potential for bringing true reasoning capabilities to large language models (LLMs). So, let’s break down how symbolic logic, knowledge graphs, and modern AI can come together to empower future AI systems to reason like humans.

The Neurosymbolic Approach: What It Means ?

Neurosymbolic AI combines two historically separate streams of artificial intelligence: symbolic reasoning and neural networks. Symbolic AI uses formal logic to process knowledge, similar to how we might solve problems or deduce information. On the other hand, neural networks, like those underlying GPT-4, focus on learning patterns from vast amounts of data — they are probabilistic statistical models that excel in generating human-like language and recognizing patterns but often lack deep, explicit reasoning.

While GPT-4 can produce impressive text, it’s still not very effective at reasoning in a truly logical way. Its foundation, transformers, allows it to excel in pattern recognition, but the models struggle with reasoning because, at their core, they rely on statistical probabilities rather than true symbolic logic. This is where neurosymbolic methods and knowledge graphs come in.

Symbolic Calculations and the Early Vision of AI

If we take a step back to the 1950s, the vision for artificial intelligence was very different. Early AI research was all about symbolic reasoning — where computers could perform logical calculations to derive new knowledge from a given set of rules and facts. Languages like Lisp emerged to support this vision, enabling programs to represent data and code as interchangeable symbols. Lisp was designed to be homoiconic, meaning it treated code as manipulatable data, making it capable of self-modification — a huge leap towards AI systems that could, in theory, understand and modify their own operations.

Lisp: The Earlier AI-Language

Lisp, short for “LISt Processor,” was developed by John McCarthy in 1958, and it became the cornerstone of early AI research. Lisp’s power lay in its flexibility and its use of symbolic expressions, which allowed developers to create programs that could manipulate symbols in ways that were very close to human reasoning. One of the most groundbreaking features of Lisp was its ability to treat code as data, known as homoiconicity, which meant that Lisp programs could introspect and transform themselves dynamically. This ability to adapt and modify its own structure gave Lisp an edge in tasks that required a form of self-awareness, which was key in the early days of AI when researchers were exploring what it meant for machines to “think.”

Lisp was not just a programming language—it represented the vision for artificial intelligence, where machines could evolve their understanding and rewrite their own programming. This idea formed the conceptual basis for many of the self-modifying and adaptive algorithms that are still explored today in AI research. Despite its decline in mainstream programming, Lisp’s influence can still be seen in the concepts used in modern machine learning and symbolic AI approaches.

Prolog: Formal Logic and Deductive Reasoning

In the 1970s, Prolog was developed—a language focused on formal logic and deductive reasoning. Unlike Lisp, based on lambda calculus, Prolog operates on formal logic rules, allowing it to perform deductive reasoning and solve logical puzzles. This made Prolog an ideal candidate for expert systems that needed to follow a sequence of logical steps, such as medical diagnostics or strategic planning.

Prolog, like Lisp, allowed symbols to be represented, understood, and used in calculations, creating another homoiconic language that allows reasoning. Prolog’s strength lies in its rule-based structure, which is well-suited for tasks that require logical inference and backtracking. These features made it a powerful tool for expert systems and AI research in the 1970s and 1980s.

The language is declarative in nature, meaning that you define the problem, and Prolog figures out how to solve it. By using formal logic and setting constraints, Prolog systems can derive conclusions from known facts, making it highly effective in fields requiring explicit logical frameworks, such as legal reasoning, diagnostics, and natural language understanding. These symbolic approaches were later overshadowed during the AI winter — but the ideas never really disappeared. They just evolved.

Solvers and Their Role in Complementing LLMs

One of the most powerful features of Prolog and similar logic-based systems is their use of solvers. Solvers are mechanisms that can take a set of rules and constraints and automatically find solutions that satisfy these conditions. This capability is incredibly useful when combined with LLMs, which excel at generating human-like language but need help with logical consistency and structured reasoning.

For instance, imagine a scenario where an LLM needs to answer a question involving multiple logical steps or a complex query that requires deducing facts from various pieces of information. In this case, a solver can derive valid conclusions based on a given set of logical rules, providing structured answers that the LLM can then articulate in natural language. This allows the LLM to retrieve information and ensure the logical integrity of its responses, leading to much more robust answers.

Solvers are also ideal for handling constraint satisfaction problems — situations where multiple conditions must be met simultaneously. In practical applications, this could include scheduling tasks, generating optimal recommendations, or even diagnosing issues where a set of symptoms must match possible diagnoses. Prolog’s solver capabilities and LLM’s natural language processing power can make these systems highly effective at providing intelligent, rule-compliant responses that traditional LLMs would struggle to produce alone.

By integrating neurosymbolic methods that utilize solvers, we can provide LLMs with a form of deductive reasoning that is missing from pure deep-learning approaches. This combination has the potential to significantly improve the quality of outputs for use-cases that require explicit, structured problem-solving, from legal queries to scientific research and beyond. Solvers give LLMs the backbone they need to not just generate answers but to do so in a way that respects logical rigor and complex constraints.

Graph of Rules for Enhanced Reasoning

Another powerful concept that complements LLMs is using a graph of rules. A graph of rules is essentially a structured collection of logical rules that interconnect in a network-like structure, defining how various entities and their relationships interact. This structured network allows for complex reasoning and information retrieval, as well as the ability to model intricate relationships between different pieces of knowledge.

In a graph of rules, each node represents a rule, and the edges define relationships between those rules — such as dependencies or causal links. This structure can be used to enhance LLM capabilities by providing them with a formal set of rules and relationships to follow, which improves logical consistency and reasoning depth. When an LLM encounters a problem or a question that requires multiple logical steps, it can traverse this graph of rules to generate an answer that is not only linguistically fluent but also logically robust.

For example, in a healthcare application, a graph of rules might include nodes for medical symptoms, possible diagnoses, and recommended treatments. When an LLM receives a query regarding a patient’s symptoms, it can use the graph to traverse from symptoms to potential diagnoses and then to treatment options, ensuring that the response is coherent and medically sound. The graph of rules guides reasoning, enabling LLMs to handle complex, multi-step questions that involve chains of reasoning, rather than merely generating surface-level responses.

Graphs of rules also enable modular reasoning, where different sets of rules can be activated based on the context or the type of question being asked. This modularity is crucial for creating adaptive AI systems that can apply specific sets of logical frameworks to distinct problem domains, thereby greatly enhancing their versatility. The combination of neural fluency with rule-based structure gives LLMs the ability to conduct more advanced reasoning, ultimately making them more reliable and effective in domains where accuracy and logical consistency are critical.

By implementing a graph of rules, LLMs are empowered to perform deductive reasoning alongside their generative capabilities, creating responses that are not only compelling but also logically aligned with the structured knowledge available in the system. This further enhances their potential applications in fields such as law, engineering, finance, and scientific research — domains where logical consistency is as important as linguistic coherence.

Enhancing LLMs with Symbolic Reasoning

Now, with LLMs like GPT-4 being mainstream, there is an emerging need to add real reasoning capabilities to them. This is where neurosymbolic approaches shine. Instead of pitting neural networks against symbolic reasoning, these methods combine the best of both worlds. The neural aspect provides language fluency and recognition of complex patterns, while the symbolic side offers real reasoning power through formal logic and rule-based frameworks.

Personal Knowledge Graphs (PKGs) come into play here as well. Knowledge graphs are data structures that encode entities and their relationships — they’re essentially semantic networks that allow for structured information retrieval. When integrated with neurosymbolic approaches, LLMs can use these graphs to answer questions in a far more contextual and precise way. By retrieving relevant information from a knowledge graph, they can ground their responses in well-defined relationships, thus improving both the relevance and the logical consistency of their answers.

Imagine combining an LLM with a graph of rules that allow it to reason through the relationships encoded in a personal knowledge graph. This could involve using deductive databases to form a sophisticated way to represent and reason with symbolic data — essentially constructing a powerful hybrid system that uses LLM capabilities for language fluency and rule-based logic for structured problem-solving.

My Research on Deductive Databases and Knowledge Graphs

I recently did some research on modeling knowledge graphs using deductive databases, such as DataLog — which can be thought of as a limited, data-oriented version of Prolog. What I’ve found is that it’s possible to use formal logic to model knowledge graphs, ontologies, and complex relationships elegantly as rules in a deductive system. Unlike classical RDF or traditional ontology-based models, which sometimes struggle with complex or evolving relationships, a deductive approach is more flexible and can easily support dynamic rules and reasoning.

Prolog and similar logic-driven frameworks can complement LLMs by handling the parts of reasoning where explicit rule-following is required. LLMs can benefit from these rule-based systems for tasks like entity recognition, logical inferences, and constructing or traversing knowledge graphs. We can even create a graph of rules that governs how relationships are formed or how logical deductions can be performed.

The future is really about creating an AI that is capable of both deep contextual understanding (using the powerful generative capacity of LLMs) and true reasoning (through symbolic systems and knowledge graphs). With the neurosymbolic approach, these AIs could be equipped not just to generate information but to explain their reasoning, form logical conclusions, and even improve their own understanding over time — getting us a step closer to true artificial general intelligence.

Why It Matters for LLM Employment

Using neurosymbolic RAG (retrieval-augmented generation) in conjunction with personal knowledge graphs could revolutionize how LLMs work in real-world applications. Imagine an LLM that understands not just language but also the relationships between different concepts — one that can navigate, reason, and explain complex knowledge domains by actively engaging with a personalized set of facts and rules.

This could lead to practical applications in areas like healthcare, finance, legal reasoning, or even personal productivity — where LLMs can help users solve complex problems logically, providing relevant information and well-justified reasoning paths. The combination of neural fluency with symbolic accuracy and deductive power is precisely the bridge we need to move beyond purely predictive AI to truly intelligent systems.

Let's explore these ideas further if you’re as fascinated by this as I am. Feel free to reach out, follow my YouTube channel, or check out some articles I’ll link below. And if you’re working on anything in this field, I’d love to collaborate!

Until next time, folks. Stay curious, and keep pushing the boundaries of AI!

@ c631e267:c2b78d3e

Verstand ohne Gefühl ist unmenschlich; \ Gefühl ohne Verstand ist Dummheit. \ Egon Bahr

Seit Jahren werden wir darauf getrimmt, dass Fakten eigentlich gefühlt seien. Aber nicht alles ist relativ und nicht alles ist nach Belieben interpretierbar. Diese Schokoladenhasen beispielsweise, die an Ostern in unseren Gefilden typisch sind, «ostern» zwar nicht, sondern sie sitzen in der Regel, trotzdem verwandelt sie das nicht in «Sitzhasen».

Nichts soll mehr gelten, außer den immer invasiveren Gesetzen. Die eigenen Traditionen und Wurzeln sind potenziell «pfui», um andere Menschen nicht auszuschließen, aber wir mögen uns toleranterweise an die fremden Symbole und Rituale gewöhnen. Dabei ist es mir prinzipiell völlig egal, ob und wann jemand ein Fastenbrechen feiert, am Karsamstag oder jedem anderen Tag oder nie – aber bitte freiwillig.

Und vor allem: Lasst die Finger von den Kindern! In Bern setzten kürzlich Demonstranten ein Zeichen gegen die zunehmende Verbreitung woker Ideologie im Bildungssystem und forderten ein Ende der sexuellen Indoktrination von Schulkindern.

Wenn es nicht wegen des heiklen Themas Migration oder wegen des Regenbogens ist, dann wegen des Klimas. Im Rahmen der «Netto Null»-Agenda zum Kampf gegen das angeblich teuflische CO2 sollen die Menschen ihre Ernährungsgewohnheiten komplett ändern. Nach dem Willen von Produzenten synthetischer Lebensmittel, wie Bill Gates, sollen wir baldmöglichst praktisch auf Fleisch und alle Milchprodukte wie Milch und Käse verzichten. Ein lukratives Geschäftsmodell, das neben der EU aktuell auch von einem britischen Lobby-Konsortium unterstützt wird.

Sollten alle ideologischen Stricke zu reißen drohen, ist da immer noch «der Putin». Die Unions-Europäer offenbaren sich dabei ständig mehr als Vertreter der Rüstungsindustrie. Allen voran zündelt Deutschland an der Kriegslunte, angeführt von einem scheinbar todesmutigen Kanzlerkandidaten Friedrich Merz. Nach dessen erneuter Aussage, «Taurus»-Marschflugkörper an Kiew liefern zu wollen, hat Russland eindeutig klargestellt, dass man dies als direkte Kriegsbeteiligung werten würde – «mit allen sich daraus ergebenden Konsequenzen für Deutschland».

Wohltuend sind Nachrichten über Aktivitäten, die sich der allgemeinen Kriegstreiberei entgegenstellen oder diese öffentlich hinterfragen. Dazu zählt auch ein Kongress kritischer Psychologen und Psychotherapeuten, der letzte Woche in Berlin stattfand. Die vielen Vorträge im Kontext von «Krieg und Frieden» deckten ein breites Themenspektrum ab, darunter Friedensarbeit oder die Notwendigkeit einer «Pädagogik der Kriegsuntüchtigkeit».

Der heutige «stille Freitag», an dem Christen des Leidens und Sterbens von Jesus gedenken, ist vielleicht unabhängig von jeder religiösen oder spirituellen Prägung eine passende Einladung zur Reflexion. In der Ruhe liegt die Kraft. In diesem Sinne wünsche ich Ihnen frohe Ostertage!

[Titelbild: Pixabay]

---

Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ 04c915da:3dfbecc9

Bitcoin has always been rooted in freedom and resistance to authority. I get that many of you are conflicted about the US Government stacking but by design we cannot stop anyone from using bitcoin. Many have asked me for my thoughts on the matter, so let’s rip it.

Concern

One of the most glaring issues with the strategic bitcoin reserve is its foundation, built on stolen bitcoin. For those of us who value private property this is an obvious betrayal of our core principles. Rather than proof of work, the bitcoin that seeds this reserve has been taken by force. The US Government should return the bitcoin stolen from Bitfinex and the Silk Road.

Usually stolen bitcoin for the reserve creates a perverse incentive. If governments see a bitcoin as a valuable asset, they will ramp up efforts to confiscate more bitcoin. The precedent is a major concern, and I stand strongly against it, but it should be also noted that governments were already seizing coin before the reserve so this is not really a change in policy.

Ideally all seized bitcoin should be burned, by law. This would align incentives properly and make it less likely for the government to actively increase coin seizures. Due to the truly scarce properties of bitcoin, all burned bitcoin helps existing holders through increased purchasing power regardless. This change would be unlikely but those of us in policy circles should push for it regardless. It would be best case scenario for American bitcoiners and would create a strong foundation for the next century of American leadership.

Optimism

The entire point of bitcoin is that we can spend or save it without permission. That said, it is a massive benefit to not have one of the strongest governments in human history actively trying to ruin our lives.

Since the beginning, bitcoiners have faced horrible regulatory trends. KYC, surveillance, and legal cases have made using bitcoin and building bitcoin businesses incredibly difficult. It is incredibly important to note that over the past year that trend has reversed for the first time in a decade. A strategic bitcoin reserve is a key driver of this shift. By holding bitcoin, the strongest government in the world has signaled that it is not just a fringe technology but rather truly valuable, legitimate, and worth stacking.

This alignment of incentives changes everything. The US Government stacking proves bitcoin’s worth. The resulting purchasing power appreciation helps all of us who are holding coin and as bitcoin succeeds our government receives direct benefit. A beautiful positive feedback loop.

Realism

We are trending in the right direction. A strategic bitcoin reserve is a sign that the state sees bitcoin as an asset worth embracing rather than destroying. That said, there is a lot of work left to be done. We cannot be lulled into complacency, the time to push forward is now, and we cannot take our foot off the gas. We have a seat at the table for the first time ever. Let's make it worth it.

We must protect the right to free usage of bitcoin and other digital technologies. Freedom in the digital age must be taken and defended, through both technical and political avenues. Multiple privacy focused developers are facing long jail sentences for building tools that protect our freedom. These cases are not just legal battles. They are attacks on the soul of bitcoin. We need to rally behind them, fight for their freedom, and ensure the ethos of bitcoin survives this new era of government interest. The strategic reserve is a step in the right direction, but it is up to us to hold the line and shape the future.

@ 88cc134b:5ae99079

sdsd

@ e6817453:b0ac3c39

Introduction: Personal Knowledge Graphs and Linked Data

We will explore the world of personal knowledge graphs and discuss how they can be used to model complex information structures. Personal knowledge graphs aren’t just abstract collections of nodes and edges—they encode meaningful relationships, contextualizing data in ways that enrich our understanding of it. While the core structure might be a directed graph, we layer semantic meaning on top, enabling nuanced connections between data points.

The origin of knowledge graphs is deeply tied to concepts from linked data and the semantic web, ideas that emerged to better link scattered pieces of information across the web. This approach created an infrastructure where data islands could connect — facilitating everything from more insightful AI to improved personal data management.

In this article, we will explore how these ideas have evolved into tools for modeling AI’s semantic memory and look at how knowledge graphs can serve as a flexible foundation for encoding rich data contexts. We’ll specifically discuss three major paradigms: RDF (Resource Description Framework), property graphs, and a third way of modeling entities as graphs of graphs. Let’s get started.

Intro to RDF

The Resource Description Framework (RDF) has been one of the fundamental standards for linked data and knowledge graphs. RDF allows data to be modeled as triples: subject, predicate, and object. Essentially, you can think of it as a structured way to describe relationships: “X has a Y called Z.” For instance, “Berlin has a population of 3.5 million.” This modeling approach is quite flexible because RDF uses unique identifiers — usually URIs — to point to data entities, making linking straightforward and coherent.

RDFS, or RDF Schema, extends RDF to provide a basic vocabulary to structure the data even more. This lets us describe not only individual nodes but also relationships among types of data entities, like defining a class hierarchy or setting properties. For example, you could say that “Berlin” is an instance of a “City” and that cities are types of “Geographical Entities.” This kind of organization helps establish semantic meaning within the graph.

RDF and Advanced Topics

Lists and Sets in RDF

RDF also provides tools to model more complex data structures such as lists and sets, enabling the grouping of nodes. This extension makes it easier to model more natural, human-like knowledge, for example, describing attributes of an entity that may have multiple values. By adding RDF Schema and OWL (Web Ontology Language), you gain even more expressive power — being able to define logical rules or even derive new relationships from existing data.

Graph of Graphs

A significant feature of RDF is the ability to form complex nested structures, often referred to as graphs of graphs. This allows you to create “named graphs,” essentially subgraphs that can be independently referenced. For example, you could create a named graph for a particular dataset describing Berlin and another for a different geographical area. Then, you could connect them, allowing for more modular and reusable knowledge modeling.

Property Graphs

While RDF provides a robust framework, it’s not always the easiest to work with due to its heavy reliance on linking everything explicitly. This is where property graphs come into play. Property graphs are less focused on linking everything through triples and allow more expressive properties directly within nodes and edges.

For example, instead of using triples to represent each detail, a property graph might let you store all properties about an entity (e.g., “Berlin”) directly in a single node. This makes property graphs more intuitive for many developers and engineers because they more closely resemble object-oriented structures: you have entities (nodes) that possess attributes (properties) and are connected to other entities through relationships (edges).

The significant benefit here is a condensed representation, which speeds up traversal and queries in some scenarios. However, this also introduces a trade-off: while property graphs are more straightforward to query and maintain, they lack some complex relationship modeling features RDF offers, particularly when connecting properties to each other.

Graph of Graphs and Subgraphs for Entity Modeling

A third approach — which takes elements from RDF and property graphs — involves modeling entities using subgraphs or nested graphs. In this model, each entity can be represented as a graph. This allows for a detailed and flexible description of attributes without exploding every detail into individual triples or lump them all together into properties.

For instance, consider a person entity with a complex employment history. Instead of representing every employment detail in one node (as in a property graph), or as several linked nodes (as in RDF), you can treat the employment history as a subgraph. This subgraph could then contain nodes for different jobs, each linked with specific properties and connections. This approach keeps the complexity where it belongs and provides better flexibility when new attributes or entities need to be added.

Hypergraphs and Metagraphs

When discussing more advanced forms of graphs, we encounter hypergraphs and metagraphs. These take the idea of relationships to a new level. A hypergraph allows an edge to connect more than two nodes, which is extremely useful when modeling scenarios where relationships aren’t just pairwise. For example, a “Project” could connect multiple “People,” “Resources,” and “Outcomes,” all in a single edge. This way, hypergraphs help in reducing the complexity of modeling high-order relationships.

Metagraphs, on the other hand, enable nodes and edges to themselves be represented as graphs. This is an extremely powerful feature when we consider the needs of artificial intelligence, as it allows for the modeling of relationships between relationships, an essential aspect for any system that needs to capture not just facts, but their interdependencies and contexts.

Balancing Structure and Properties

One of the recurring challenges when modeling knowledge is finding the balance between structure and properties. With RDF, you get high flexibility and standardization, but complexity can quickly escalate as you decompose everything into triples. Property graphs simplify the representation by using attributes but lose out on the depth of connection modeling. Meanwhile, the graph-of-graphs approach and hypergraphs offer advanced modeling capabilities at the cost of increased computational complexity.

So, how do you decide which model to use? It comes down to your use case. RDF and nested graphs are strong contenders if you need deep linkage and are working with highly variable data. For more straightforward, engineer-friendly modeling, property graphs shine. And when dealing with very complex multi-way relationships or meta-level knowledge, hypergraphs and metagraphs provide the necessary tools.

The key takeaway is that only some approaches are perfect. Instead, it’s all about the modeling goals: how do you want to query the graph, what relationships are meaningful, and how much complexity are you willing to manage?

Conclusion

Modeling AI semantic memory using knowledge graphs is a challenging but rewarding process. The different approaches — RDF, property graphs, and advanced graph modeling techniques like nested graphs and hypergraphs — each offer unique strengths and weaknesses. Whether you are building a personal knowledge graph or scaling up to AI that integrates multiple streams of linked data, it’s essential to understand the trade-offs each approach brings.

In the end, the choice of representation comes down to the nature of your data and your specific needs for querying and maintaining semantic relationships. The world of knowledge graphs is vast, with many tools and frameworks to explore. Stay connected and keep experimenting to find the balance that works for your projects.

@ 01acb73f:5a8e92a9

A 9009Bet tem se destacado no cenário de entretenimento online no Brasil por oferecer uma plataforma moderna, segura e recheada de opções para quem busca diversão e oportunidades de ganhos. Com um visual intuitivo, suporte eficiente e uma enorme variedade de jogos, o site atrai tanto iniciantes quanto jogadores experientes em busca de uma experiência dinâmica e empolgante.

Introdução à Plataforma 9009Bet Desde o primeiro acesso, a 9009Bet impressiona por sua interface amigável e bem estruturada. O site é responsivo, funcionando perfeitamente em computadores, tablets e smartphones, o que permite aos usuários jogar onde e quando quiserem. A plataforma investe constantemente em tecnologia para garantir navegação rápida, carregamento ágil dos jogos e total segurança dos dados pessoais e financeiros.

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@ 6389be64:ef439d32

GA, plebs. The latest episode of Bitcoin And is out, and, as always, the chicanery is running rampant. Let’s break down the biggest topics I covered, and if you want the full, unfiltered rant, make sure to listen to the episode linked below.

House Democrats’ MEME Act: A Bad Joke?

House Democrats are proposing a bill to ban presidential meme coins, clearly aimed at Trump’s and Melania’s ill-advised token launches. While grifters launching meme coins is bad, this bill is just as ridiculous. If this legislation moves forward, expect a retaliatory strike exposing how politicians like Pelosi and Warren mysteriously amassed their fortunes. Will it pass? Doubtful. But it’s another sign of the government’s obsession with regulating everything except itself.

Senate Banking’s First Digital Asset Hearing: The Real Target Is You

Cynthia Lummis chaired the first digital asset hearing, and—surprise!—it was all about control. The discussion centered on stablecoins, AML, and KYC regulations, with witnesses suggesting Orwellian measures like freezing stablecoin transactions unless pre-approved by authorities. What was barely mentioned? Bitcoin. They want full oversight of stablecoins, which is really about controlling financial freedom. Expect more nonsense targeting self-custody wallets under the guise of stopping “bad actors.”

Bank of America and PayPal Want In on Stablecoins

Bank of America’s CEO openly stated they’ll launch a stablecoin as soon as regulation allows. Meanwhile, PayPal’s CEO paid for a hat using Bitcoin—not their own stablecoin, Pi USD. Why wouldn’t he use his own product? Maybe he knows stablecoins aren’t what they’re hyped up to be. Either way, the legacy financial system is gearing up to flood the market with stablecoins, not because they love crypto, but because it’s a tool to extend U.S. dollar dominance.

MetaPlanet Buys the Dip

Japan’s MetaPlanet issued $13.4M in bonds to buy more Bitcoin, proving once again that institutions see the writing on the wall. Unlike U.S. regulators who obsess over stablecoins, some companies are actually stacking sats.

UK Expands Crypto Seizure Powers

Across the pond, the UK government is pushing legislation to make it easier to seize and destroy crypto linked to criminal activity. While they frame it as going after the bad guys, it’s another move toward centralized control and financial surveillance.

Bitcoin Tools & Tech: Arc, SatoChip, and Nunchuk

Some bullish Bitcoin developments: ARC v0.5 is making Bitcoin’s second layer more efficient, SatoChip now supports Taproot and Nostr, and Nunchuk launched a group wallet with chat, making multisig collaboration easier.

The Bottom Line

The state is coming for financial privacy and control, and stablecoins are their weapon of choice. Bitcoiners need to stay focused, keep their coins in self-custody, and build out parallel systems. Expect more regulatory attacks, but don’t let them distract you—just keep stacking and transacting in ways they can’t control.

🎧 Listen to the full episode here: https://fountain.fm/episode/PYITCo18AJnsEkKLz2Ks

💰 Support the show by boosting sats on Podcasting 2.0! and I will see you on the other side.

@ e6817453:b0ac3c39

The temporal semantics and temporal and time-aware knowledge graphs. We have different memory models for artificial intelligence agents. We all try to mimic somehow how the brain works, or at least how the declarative memory of the brain works. We have the split of episodic memory and semantic memory. And we also have a lot of theories, right?

Declarative Memory of the Human Brain

How is the semantic memory formed? We all know that our brain stores semantic memory quite close to the concept we have with the personal knowledge graphs, that it’s connected entities. They form a connection with each other and all those things. So far, so good. And actually, then we have a lot of concepts, how the episodic memory and our experiences gets transmitted to the semantic:

• hippocampus indexing and retrieval
• sanitization of episodic memories
• episodic-semantic shift theory

They all give a different perspective on how different parts of declarative memory cooperate.

We know that episodic memories get semanticized over time. You have semantic knowledge without the notion of time, and probably, your episodic memory is just decayed.

But, you know, it’s still an open question:

do we want to mimic an AI agent’s memory as a human brain memory, or do we want to create something different?

It’s an open question to which we have no good answer. And if you go to the theory of neuroscience and check how episodic and semantic memory interfere, you will still find a lot of theories, yeah?

Some of them say that you have the hippocampus that keeps the indexes of the memory. Some others will say that you semantic the episodic memory. Some others say that you have some separate process that digests the episodic and experience to the semantics. But all of them agree on the plan that it’s operationally two separate areas of memories and even two separate regions of brain, and the semantic, it’s more, let’s say, protected.

So it’s harder to forget the semantical facts than the episodes and everything. And what I’m thinking about for a long time, it’s this, you know, the semantic memory.

Temporal Semantics

It’s memory about the facts, but you somehow mix the time information with the semantics. I already described a lot of things, including how we could combine time with knowledge graphs and how people do it.

There are multiple ways we could persist such information, but we all hit the wall because the complexity of time and the semantics of time are highly complex concepts.

Time in a Semantic context is not a timestamp.

What I mean is that when you have a fact, and you just mentioned that I was there at this particular moment, like, I don’t know, 15:40 on Monday, it’s already awake because we don’t know which Monday, right? So you need to give the exact date, but usually, you do not have experiences like that.

You do not record your memories like that, except you do the journaling and all of the things. So, usually, you have no direct time references. What I mean is that you could say that I was there and it was some event, blah, blah, blah.

Somehow, we form a chain of events that connect with each other and maybe will be connected to some period of time if we are lucky enough. This means that we could not easily represent temporal-aware information as just a timestamp or validity and all of the things.

For sure, the validity of the knowledge graphs (simple quintuple with start and end dates)is a big topic, and it could solve a lot of things. It could solve a lot of the time cases. It’s super simple because you give the end and start dates, and you are done, but it does not answer facts that have a relative time or time information in facts . It could solve many use cases but struggle with facts in an indirect temporal context. I like the simplicity of this idea. But the problem of this approach that in most cases, we simply don’t have these timestamps. We don’t have the timestamp where this information starts and ends. And it’s not modeling many events in our life, especially if you have the processes or ongoing activities or recurrent events.

I’m more about thinking about the time of semantics, where you have a time model as a hybrid clock or some global clock that does the partial ordering of the events. It’s mean that you have the chain of the experiences and you have the chain of the facts that have the different time contexts.

We could deduct the time from this chain of the events. But it’s a big, big topic for the research. But what I want to achieve, actually, it’s not separation on episodic and semantic memory. It’s having something in between.

Blockchain of connected events and facts

I call it temporal-aware semantics or time-aware knowledge graphs, where we could encode the semantic fact together with the time component.I doubt that time should be the simple timestamp or the region of the two timestamps. For me, it is more a chain for facts that have a partial order and form a blockchain like a database or a partially ordered Acyclic graph of facts that are temporally connected. We could have some notion of time that is understandable to the agent and a model that allows us to order the events and focus on what the agent knows and how to order this time knowledge and create the chains of the events.

Time anchors

We may have a particular time in the chain that allows us to arrange a more concrete time for the rest of the events. But it’s still an open topic for research. The temporal semantics gets split into a couple of domains. One domain is how to add time to the knowledge graphs. We already have many different solutions. I described them in my previous articles.

Another domain is the agent's memory and how the memory of the artificial intelligence treats the time. This one, it’s much more complex. Because here, we could not operate with the simple timestamps. We need to have the representation of time that are understandable by model and understandable by the agent that will work with this model. And this one, it’s way bigger topic for the research.”

@ 306555fe:fd7fdf12

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@ b154080c:00027cc7

Introduction

In the ancient times of Israel, masculinity found its true embodiment in the courageous story of Daniel. Amidst the foreign land of Babylon, Daniel stood firm in his convictions, showcasing strength, and dedication to his beliefs.

Despite living in a culture that sought to diminish his faith, Daniel refused to bow before idols or false deities. His defiance challenged societal expectations, revealing a masculinity that transcended worldly norms. Rooted in his unshakable belief in the one true God, Daniel's resolve remained unyielding. Facing the wrath of the king, Daniel fearlessly stood before Nebuchadnezzar, humbly declaring his allegiance to God alone. Cast into a blazing furnace as punishment, Daniel emerged unharmed. God's angel shielded him from the scorching flames, proving that his faith made him invincible. Witnessing this display of masculinity, Nebuchadnezzar acknowledged the greatness of Daniel's God, bringing about a profound transformation.

Daniel's story serves as a testament to the essence of masculinity—a resolute dedication to one's convictions, the courage to defy societal expectations, and a commitment to truth. His faith and devotion inspire generations, exemplifying the power of masculine conviction.

There have been countless instances throughout history where acts of courage have taken place on a spectrum. Although both men and women can display such acts, history has shown that resolve, courage, and bravery have predominantly resided within the realm of masculinity. The Apostle Paul himself concluded the book of 1 Corinthians by saying, "Be watchful, stand firm in the faith, act like men, be strong. Let all that you do be done in love" (16:13-14). By combining this passage with the numerous accounts of provision, battle, sacrifice, and honor, it becomes evident that God has designed inherent and very important differences within the male gender.

The Bible presents us with inspiring examples of both courageous women, such as Deborah, Rahab, and Esther, and valiant men, including Joshua, Gideon, Samson, David, Jonathan, Nehemiah, the Prophets, the twelve Apostles, and above all, Jesus Himself. While these accounts acknowledge the remarkable contributions of women, they predominantly highlight the male figures who exemplify strength, boldness, courage, and a resolute sense of responsibility. Throughout its pages, the Bible paints a vivid picture of masculinity's profound impact and enduring significance which we must embrace.

Jesus’ Masculinity

Jesus exhibited remarkable courage throughout many of his acts, and it is through his expression of masculinity that this courage shines even brighter. Jesus' masculinity played a crucial role in enabling him to display great bravery and determination in fulfilling his mission. However, it's important to note that Jesus redefines masculinity beyond physical strength or dominance, embracing resilience, self-sacrifice, and unyielding conviction as its defining qualities.

Jesus' courage stemmed from his deep understanding of his purpose and his unshakable faith in his Father's plan. He fearlessly challenged the religious authorities of his time, calling out hypocrisy and speaking truth to power. Despite facing opposition and hostility, Jesus stood firm in his convictions, undeterred by the threats and ridicule he encountered. Jesus' embodiment of masculinity highlights the transformative power it can have when rooted in love and compassion.

Modern Culture Poisoning the Church

It is important to realize the true masculinity of Jesus and the example that he has set for us in this regard. Unfortunately, I often see a tendency nowadays to downplay Jesus' masculinity and instead depict Him in a more feminized manner.

In both our culture and the modern church, there is a tendency to present a version of Jesus that deviates from the biblical portrayal. Perhaps you've come across people who refer to Jesus as their "best friend" or even draw comparisons between their relationship with Him and that of a "boyfriend.” This is in fact very unbiblical. The Bible never presents our love for God using such romantic or erotic language. While the men depicted in Scripture certainly loved God, they were never portrayed as being desperate for Him or romantically in love with Him. People are often taught a very shallow and weak portrayal of Him.

In the United States, particularly in the context of flourishing Protestantism, the shift from considering the community as a whole to focusing on the individual has led to a rise in strong individualistic beliefs which has resulted in a diminished sense of community within the Catholic Church. When the focal point of Catholicism becomes "Jesus and me," it opens the door to a mindset of being "spiritual" rather than "religious.” Attending church becomes a matter of personal choice, and faith no longer necessarily influences or intersects with areas such as business or politics. The sole emphasis becomes on one's personal relationship with Christ, prioritizing individual salvation over communal or global redemption. The vision of the kingdom of God taking shape on earth also becomes less urgent, as the emphasis shifts towards a faith centered on transcendence, emotions, and sentiment, rather than tangible actions.

The perception of Jesus' masculinity has been negatively impacted by the trend of feminizing Him, which has contributed to a decline in the courage displayed by men today. This shift can be attributed to various factors that have influenced societal perspectives.

In contrast to the promises of Jesus, which include suffering, trials, and pain, it is often only presented to them that Christianity is the solution to these hardships. Instead of acknowledging the reality of challenges, the contemporary portrayal of Christianity tends to market it as the antidote to suffering and pain. It is important to recognize and reflect upon the significant difference between how Jesus called His disciples and the prevailing emphasis on personal relationships with Him today. Instead of inviting them to have a personal connection, He simply said, "Follow me." Understanding this distinction is crucial in our understanding of Jesus' call to discipleship. "Follow me" implies a sense of purpose, a shared mission or goal to pursue. This contrast highlights the divergence between the original intent of discipleship and the way it is often portrayed around me nowadays.

I want to emphasize that I am by no means denying the significance of having a personal relationship with Christ. On the contrary, I am simply highlighting the importance of recognizing that personal relationships, including our relationship with Christ, require more than just superficial connections. They demand a deep sense of faith, trust, and communion with Him. Drawing inspiration from the courageous example of Jesus, who fearlessly confronted societal norms and spoke truth to power, our relationship with Him can empower us to embrace courage in our own lives. Just as Jesus fearlessly faced opposition, persecution, and ultimately sacrificed Himself for the sake of others, our connection with Him can embolden us to stand up for what is right, to live out our faith boldly, and to face life's challenges with strength. It is not a casual or complacent association but a courageous and transformative bond that empowers us to live out our faith with conviction and to impact the world around us positively.

As modern sermons take center stage, it's become apparent that there is a tendency to downplay the contrasts found in the teachings of the Bible. As mentions of heaven and hell, sin and life, grace and justice, as well as the analogies involving battles and soldiers for Christ have always been very prevalent, they have become way less common nowadays. We hear fewer calls for Catholics to embrace their crosses and passionately commit themselves to the cause of the gospel and the well-being of others. Instead, the spotlight has shifted towards how the gospel can serve as a tool for personal growth and fulfillment, focusing on self-realization. The gospel is often presented as a therapeutic treatment rather than a heroic challenge. The emphasis lies on the rewards rather than the obstacles, creating the idea of all gain, no pain (lol).

The rise of praise and worship music has also brought about significant changes in people's perception of Christ. While traditional hymns focused on singing about God, emphasizing His greatness, power, and distinctiveness, praise and worship music takes a different approach. It presents God as a close companion, an intimate presence by our side, emphasizing His love and care for us. This shift in emphasis, while not inherently negative, certainly plays a substantial role in shaping our understanding of Christ's nature and relationship with us.

Jesus is the Epitome of Masculinity

I believe Jesus stands as the epitome of masculinity, offering an unrivaled example for men to emulate. Through His life and teachings, He reveals the true essence of what it means to be a man. He leads with courage, facing challenges head-on without hesitation. His fearlessness shines through as He confronts opposition and stands firm in His convictions. Moreover, His love is not self-serving but sacrificial, displayed vividly through His ultimate act of giving His own life for the sake of others. And in the face of adversity, His resolve remains unshakeable, inspiring men to stand strong in their beliefs and principles. Jesus, in His entirety, embodies the essence of true masculinity, setting an unparalleled standard that us men must aspire to.

Around me, I’m often seeing a tendency to shy away from addressing challenging subjects with resolute conviction. Rather than speaking with clarity and certainty, there is a preference for using vague language and ambiguous statements to navigate sensitive issues. In stark contrast, Jesus stood firmly and fearlessly, fearlessly proclaiming His truth. His words shook the foundations of societal norms, demanding radical commitment from His followers. True boldness lies in the courage to speak truth, even when faced with opposition and adversity.

Boldness is a very masculine characteristic. While some may argue that boldness is not exclusive to gender, the Bible primarily associates this characteristic with men. On the other hand, the beauty of women is highlighted through the importance of a gentle and quiet spirit, which also very much holds great value in the eyes of God. 1 Peter 3:4 addressing woman and wives, "Let your adorning be the hidden person of the heart with the imperishable beauty of a gentle and quiet spirit, which in God's sight is very precious." This reminds us that inner qualities such as a gentle and tranquil demeanor also hold significant worth and are highly esteemed.

As Jesus exemplified true boldness, courageously speaking God's truth regardless of the consequences. His courage serves as the ultimate model of masculinity, inspiring men to fearlessly pursue God's will. Jesus exemplified bravery, rooted in His deep reverence for God. Unlike the fear of man, which arises from sin, Jesus' bravery stemmed from His love for God. His resolute posture and authoritative responses to godless men demonstrated a masculinity untainted by timidity. Jesus taught us to lead with courage, grounded in reverence for God and faith in His sovereignty.

In a culture where love is often misrepresented, Jesus' sacrificial love stands as the true definition. Love, as demonstrated by Jesus, goes beyond superficial feelings; it entails sacrificial commitment. Jesus willingly laid down His life for His bride, the Church, showcasing the essence of true masculinity. Men are called to sacrificially love their wives, mirroring Christ's example. This selfless love forms the foundation for men to protect, nurture, and fight for those entrusted to their care.

Christ's resolve was the driving force behind the cross, demonstrating His commitment to fulfill His mission. His choice to embrace the cross, knowing the suffering and wrath He would endure, showcases resolute masculinity. In history, heroic moments of perseverance are predominantly marked by male resolve. The biological advantage provided by testosterone further supports men's capacity for enduring resolve. Jesus' resolve to save His people from sin teaches men to stand firm in the face of challenges, abiding in their commitment to their calling.

Restoring the Church's Boldness and Reclaiming Biblical Masculinity and Femininity

The landscape of the Church has undergone a significant transformation, moving away from its historic expression of Christianity. We've witnessed a shift from powerful, convicting sermons to soft, TED-talk style infotainment. Classic hymns highlighting doctrine, sacrifice, and piety have been replaced by emotionally driven love songs that resemble romantic ballads. It's clear that the local church has undergone a real emasculation.

This departure from biblical foundations has contributed to a great deal of confusion within the Church, particularly concerning the understanding of biblical manhood and womanhood. The increasing push for egalitarianism has led to women fighting for leadership roles, while men find themselves adrift without clear guidance regarding their responsibilities in marriage, the church, and the family. I believe this confusion and distortion of gender roles to be the enemy's central strategy for our generation. By infiltrating the Church with a heightened emphasis on feminine emotion, the enemy has left us unprepared for moments requiring masculine boldness, fearlessness, sacrifice, and resolve.

We must acknowledge that there is a difference between a surface-level expression of faith and the profound conviction displayed by those facing intense trials. The challenges and hardships that people face in the midst of adversity provide a profound glimpse into the strength and genuineness of their faith. These trials are a powerful testimony to their commitment and courage. Throughout history, numerous Christians have faced unimaginable suffering, even enduring torture, dismemberment, and martyrdom, all because of their devotion to Christ. Their remarkable sacrifices inspire us and remind us of the immense cost of following Jesus. Yet, the trend of timidity displayed by the present-day Church, yielding to government overreach or even complying with laws that endorse sexual sin contrary to biblical teachings, will come at a significant cost.

It is high time for the Church to reclaim its boldness and restore the biblical understanding of masculinity and femininity. We must reject the watered-down version of Christianity that has spread throughout our culture and embrace a faith rooted in conviction and sacrifice. By understanding and embracing the unique roles and responsibilities of men and women as outlined in Scripture, we can restore clarity and purpose to our families, churches, and communities. Let us rise above the societal pressures, rekindle the fire of biblical truth, and stand firm in our commitment to Christ, no matter the cost.

As we progress, it becomes clear that the importance of strong, virtuous Catholic men is growing. This should not catch us off guard. The feminist movement of the 21st century is truly toxic. It goes way beyond advocating for the rightful appreciation of women; it seeks to establish female dominance. Moreover, its influence knows no boundaries. Like the LGBTQ community, its aim is to permeate every aspect of public, personal, and spiritual life. We must not only be alarmed by this trend but also prepare ourselves to stand firmly against it. We need biblically grounded shepherds and faithful women who can discern the subtle infiltration of an effeminate culture and guard against it.

Let us not forget that Catholicism is not egalitarian. While men and women are equally valued before the cross, our roles and responsibilities differ. In marriage, Christianity follows a complementarian model, where the husband leads with sacrificial love, and the wife respects and supports him. People are too sensitive about the word “patriarchy” nowadays. In terms of leadership, the Church holds a patriarchal stance. At the same time, patriarchy, like any other system, is not immune to the potential for sinful expressions. However, when approached with sacrificial love, adherence to biblical order, and a commitment to honoring God, the structure of patriarchy - as well as areas such as marriage, fatherhood, and heterosexuality - can yield to way more goodness. We should strive for a church culture that aligns with the gender-culture outlined in God’s Word: gentle, safe, and encouraging, while also strong, bold, and committed to upholding biblical order and fulfilling the mission entrusted to us. This balance allows the church to fully embody the presence of Christ, enabling His people to confidently advance alongside our great Lord.

We must prepare ourselves for an increasing need for men who embrace biblical masculinity and women who faithfully embody femininity. It is crucial not to overlook the pervasive influence of an effeminate culture and the agenda of distorted ideologies. By embracing the distinct roles and responsibilities that God has given to both men and women, we cultivate a church culture that mirrors the beauty of Christ and empowers His people to wholeheartedly pursue His mission with courage. We must recognize the urgency to embrace and embody biblical masculinity in the face of cultural challenges and shifting ideologies. Equipped with the truth of God's Word, we can navigate the complexities of the world and fulfill our God-given roles with great faith. Let us rise as men who boldly embrace our calling, standing firm in the face of challenges, and wholeheartedly pursuing lives of holiness and service to God and His Church. May we stand united, guided by His Word, and ready to face the battles ahead with strength, grace, and resolved faith.

From Nashville with love,

Suhail Saqan

This was inspired by The Imitation of Christ. Read here.

@ 103c67ec:3a039adb

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@ c230edd3:8ad4a712

Chef's notes

This cake is not too sweet and very simple to make. The 3 flavors and mild and meld well with the light sweetness.

Details

• ⏲️ Prep time: 15 min
• 🍳 Cook time: 45 min
• 🍽️ Servings: 12

Ingredients

• 1 1/2 cups all-purpose flour
• 1/2 tsp salt
• 2 tsp baking soda
• 1 cup sugar
• 3 large eggs
• 1/2 cup full fat milk
• 3/4 cup unfiltered olive oil
• 2/3 cup finely chopped raw, unsalted almonds
• 2 tsp lavender
• 1 Tbsp powdered sugar

Directions

1. Preheat oven to 350 degrees F. Lightly butter 8 inch baking pan.
2. In smal bowl, whisk together flour, salt, and baking soda.
3. In large bowl, beat eggs and sugar until light colored and fluffy. Add milk.
4. Slowly pour and stir in olive oil.
5. Fold dry ingredients into the wet ingredients,
6. Stir in the almonds and the lavender, reserving some flowers for garnish.
7. Pour into prepared pan and bake for 45 min, or until toothpick comes out clean.
8. Cool on wire rack, dust with powdered sugar and top with reserved lavender.

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A state-controlled money supply can influence the development of socialist policies and practices in various ways. Although the relationship is not deterministic, state control over the money supply can contribute to a larger role of the state in the economy and facilitate the implementation of socialist ideals.

Fiscal Policy Capabilities

When the state manages the money supply, it gains the ability to implement fiscal policies that can lead to an expansion of social programs and welfare initiatives. Funding these programs by creating money can enhance the state's influence over the economy and move it closer to a socialist model. The Soviet Union, for instance, had a centralized banking system that enabled the state to fund massive industrialization and social programs, significantly expanding the state's role in the economy.

Wealth Redistribution

Controlling the money supply can also allow the state to influence economic inequality through monetary policies, effectively redistributing wealth and reducing income disparities. By implementing low-interest loans or providing financial assistance to disadvantaged groups, the state can narrow the wealth gap and promote social equality, as seen in many European welfare states.

Central Planning

A state-controlled money supply can contribute to increased central planning, as the state gains more influence over the economy. Central banks, which are state-owned or heavily influenced by the state, play a crucial role in managing the money supply and facilitating central planning. This aligns with socialist principles that advocate for a planned economy where resources are allocated according to social needs rather than market forces.

Incentives for Staff

Staff members working in state institutions responsible for managing the money supply have various incentives to keep the system going. These incentives include job security, professional expertise and reputation, political alignment, regulatory capture, institutional inertia, and legal and administrative barriers. While these factors can differ among individuals, they can collectively contribute to the persistence of a state-controlled money supply system.

In conclusion, a state-controlled money supply can facilitate the development of socialist policies and practices by enabling fiscal policies, wealth redistribution, and central planning. The staff responsible for managing the money supply have diverse incentives to maintain the system, further ensuring its continuation. However, it is essential to note that many factors influence the trajectory of an economic system, and the relationship between state control over the money supply and socialism is not inevitable.

@ 88cc134b:5ae99079

@ c631e267:c2b78d3e

Zwei mal drei macht vier, \ widewidewitt und drei macht neune, \ ich mach mir die Welt, \ widewide wie sie mir gefällt. \ Pippi Langstrumpf

Egal, ob Koalitionsverhandlungen oder politischer Alltag: Die Kontroversen zwischen theoretisch verschiedenen Parteien verschwinden, wenn es um den Kampf gegen politische Gegner mit Rückenwind geht. Wer den Alteingesessenen die Pfründe ernsthaft streitig machen könnte, gegen den werden nicht nur «Brandmauern» errichtet, sondern der wird notfalls auch strafrechtlich verfolgt. Doppelstandards sind dabei selbstverständlich inklusive.

In Frankreich ist diese Woche Marine Le Pen wegen der Veruntreuung von EU-Geldern von einem Gericht verurteilt worden. Als Teil der Strafe wurde sie für fünf Jahre vom passiven Wahlrecht ausgeschlossen. Obwohl das Urteil nicht rechtskräftig ist – Le Pen kann in Berufung gehen –, haben die Richter das Verbot, bei Wahlen anzutreten, mit sofortiger Wirkung verhängt. Die Vorsitzende des rechtsnationalen Rassemblement National (RN) galt als aussichtsreiche Kandidatin für die Präsidentschaftswahl 2027.

Das ist in diesem Jahr bereits der zweite gravierende Fall von Wahlbeeinflussung durch die Justiz in einem EU-Staat. In Rumänien hatte Călin Georgescu im November die erste Runde der Präsidentenwahl überraschend gewonnen. Das Ergebnis wurde später annulliert, die behauptete «russische Wahlmanipulation» konnte jedoch nicht bewiesen werden. Die Kandidatur für die Wahlwiederholung im Mai wurde Georgescu kürzlich durch das Verfassungsgericht untersagt.

Die Veruntreuung öffentlicher Gelder muss untersucht und geahndet werden, das steht außer Frage. Diese Anforderung darf nicht selektiv angewendet werden. Hingegen mussten wir in der Vergangenheit bei ungleich schwerwiegenderen Fällen von (mutmaßlichem) Missbrauch ganz andere Vorgehensweisen erleben, etwa im Fall der heutigen EZB-Chefin Christine Lagarde oder im «Pfizergate»-Skandal um die Präsidentin der EU-Kommission Ursula von der Leyen.

Wenngleich derartige Angelegenheiten formal auf einer rechtsstaatlichen Grundlage beruhen mögen, so bleibt ein bitterer Beigeschmack. Es stellt sich die Frage, ob und inwieweit die Justiz politisch instrumentalisiert wird. Dies ist umso interessanter, als die Gewaltenteilung einen essenziellen Teil jeder demokratischen Ordnung darstellt, während die Bekämpfung des politischen Gegners mit juristischen Mitteln gerade bei den am lautesten rufenden Verteidigern «unserer Demokratie» populär zu sein scheint.

Die Delegationen von CDU/CSU und SPD haben bei ihren Verhandlungen über eine Regierungskoalition genau solche Maßnahmen diskutiert. «Im Namen der Wahrheit und der Demokratie» möchte man noch härter gegen «Desinformation» vorgehen und dafür zum Beispiel den Digital Services Act der EU erweitern. Auch soll der Tatbestand der Volksverhetzung verschärft werden – und im Entzug des passiven Wahlrechts münden können. Auf europäischer Ebene würde Friedrich Merz wohl gerne Ungarn das Stimmrecht entziehen.

Der Pegel an Unzufriedenheit und Frustration wächst in großen Teilen der Bevölkerung kontinuierlich. Arroganz, Machtmissbrauch und immer abstrusere Ausreden für offensichtlich willkürliche Maßnahmen werden kaum verhindern, dass den etablierten Parteien die Unterstützung entschwindet. In Deutschland sind die Umfrageergebnisse der AfD ein guter Gradmesser dafür.

[Vorlage Titelbild: Pixabay]

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ dc0173e0:5499dd3b

Texas’s

@ dc4cd086:cee77c06

Have you ever wanted to learn from lengthy educational videos but found it challenging to navigate through hours of content? Our new tool addresses this problem by transforming long-form video lectures into easily digestible, searchable content.

Key Features:

Video Processing:

• Automatically downloads YouTube videos, transcripts, and chapter information
• Splits transcripts into sections based on video chapters

Content Summarization:

• Utilizes language models to transform spoken content into clear, readable text
• Formats output in AsciiDoc for improved readability and navigation
• Highlights key terms and concepts with [[term]] notation for potential cross-referencing

Diagram Extraction:

• Analyzes video entropy to identify static diagram/slide sections
• Provides a user-friendly GUI for manual selection of relevant time ranges
• Allows users to pick representative frames from selected ranges

Going Forward:

Currently undergoing a rewrite to improve organization and functionality, but you are welcome to try the current version, though it might not work on every machine. Will support multiple open and closed language models for user choice Free and open-source, allowing for personal customization and integration with various knowledge bases. Just because we might not have it on our official Alexandria knowledge base, you are still welcome to use it on you own personal or community knowledge bases! We want to help find connections between ideas that exist across relays, allowing individuals and groups to mix and match knowledge bases between each other, allowing for any degree of openness you care.

While designed with #Alexandria users in mind, it's available for anyone to use and adapt to their own learning needs.

Screenshots

Frame Selection

This is a screenshot of the frame selection interface. You'll see a signal that represents frame entropy over time. The vertical lines indicate the start and end of a chapter. Within these chapters you can select the frames by clicking and dragging the mouse over the desired range where you think diagram is in that chapter. At the bottom is an option that tells the program to select a specific number of frames from that selection.

Diagram Extraction

This is a screenshot of the diagram extraction interface. For every selection you've made, there will be a set of frames that you can choose from. You can select and deselect as many frames as you'd like to save.

Links

• repo: https://github.com/limina1/video_article_converter
• Nostr Apps 101: https://www.youtube.com/watch?v=Flxa_jkErqE

Output

And now, we have a demonstration of the final result of this tool, with some quick cleaning up. The video we will be using this tool on is titled Nostr Apps 101 by nostr:npub1nxy4qpqnld6kmpphjykvx2lqwvxmuxluddwjamm4nc29ds3elyzsm5avr7 during Nostrasia. The following thread is an analog to the modular articles we are constructing for Alexandria, and I hope it conveys the functionality we want to create in the knowledge space. Note, this tool is the first step! You could use a different prompt that is most appropriate for the specific context of the transcript you are working with, but you can also manually clean up any discrepancies that don't portray the video accurately. You can now view the article on #Alexandria https://next-alexandria.gitcitadel.eu/publication?d=nostr-apps-101

Initially published as chained kind 1's nostr:nevent1qvzqqqqqqypzp5r5hd579v2sszvvzfel677c8dxgxm3skl773sujlsuft64c44ncqy2hwumn8ghj7un9d3shjtnyv9kh2uewd9hj7qgwwaehxw309ahx7uewd3hkctcpzemhxue69uhhyetvv9ujumt0wd68ytnsw43z7qghwaehxw309aex2mrp0yhxummnw3ezucnpdejz7qgewaehxw309aex2mrp0yh8xmn0wf6zuum0vd5kzmp0qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgc7hglpn

Or view on Coracle https://coracle.social /nevent1qqsxunmjy20mvlq37vnrcshkf6sdrtkfjtjz3anuetmcuv8jswhezgcppemhxue69uhkummn9ekx7mp0qgsdqa9md83tz5yqnrqjw07hhkpmfjpkuv9hlh5v8yhu8z274w9dv7qnnq0s3

@ a39d19ec:3d88f61e

This week's functional 3d print is the "Dino Clip".

Dino Clip

I printed it some years ago for my son, so he would have his own clip for cereal bags.

Now it is used to hold a bag of dog food close.

The design by "Sneaks" is a so called "print in place". This means that the whole clip with moving parts is printed in one part, without the need for assembly after the print. The clip is very strong, and I would print it again if I need a "heavy duty" clip for more rigid or big bags. Link to the file at Printables

@ c631e267:c2b78d3e

Spanien bleibt einer der Vorreiter im europäischen Prozess der totalen Überwachung per Digitalisierung. Seit Mittwoch ist dort der digitale Personalausweis verfügbar. Dabei handelt es sich um eine Regierungs-App, die auf dem Smartphone installiert werden muss und in den Stores von Google und Apple zu finden ist. Per Dekret von Regierungschef Pedro Sánchez und Zustimmung des Ministerrats ist diese Maßnahme jetzt in Kraft getreten.

Mit den üblichen Argumenten der Vereinfachung, des Komforts, der Effizienz und der Sicherheit preist das Innenministerium die «Innovation» an. Auch die Beteuerung, dass die digitale Variante parallel zum physischen Ausweis existieren wird und diesen nicht ersetzen soll, fehlt nicht. Während der ersten zwölf Monate wird «der Neue» noch nicht für alle Anwendungsfälle gültig sein, ab 2026 aber schon.

Dass die ganze Sache auch «Risiken und Nebenwirkungen» haben könnte, wird in den Mainstream-Medien eher selten thematisiert. Bestenfalls wird der Aspekt der Datensicherheit angesprochen, allerdings in der Regel direkt mit dem Regierungsvokabular von den «maximalen Sicherheitsgarantien» abgehandelt. Dennoch gibt es einige weitere Aspekte, die Bürger mit etwas Sinn für Privatsphäre bedenken sollten.

Um sich die digitale Version des nationalen Ausweises besorgen zu können (eine App mit dem Namen MiDNI), muss man sich vorab online registrieren. Dabei wird die Identität des Bürgers mit seiner mobilen Telefonnummer verknüpft. Diese obligatorische fixe Verdrahtung kennen wir von diversen anderen Apps und Diensten. Gleichzeitig ist das die Basis für eine perfekte Lokalisierbarkeit der Person.

Für jeden Vorgang der Identifikation in der Praxis wird später «eine Verbindung zu den Servern der Bundespolizei aufgebaut». Die Daten des Individuums werden «in Echtzeit» verifiziert und im Erfolgsfall von der Polizei signiert zurückgegeben. Das Ergebnis ist ein QR-Code mit zeitlich begrenzter Gültigkeit, der an Dritte weitergegeben werden kann.

Bei derartigen Szenarien sträuben sich einem halbwegs kritischen Staatsbürger die Nackenhaare. Allein diese minimale Funktionsbeschreibung lässt die totale Überwachung erkennen, die damit ermöglicht wird. Jede Benutzung des Ausweises wird künftig registriert, hinterlässt also Spuren. Und was ist, wenn die Server der Polizei einmal kein grünes Licht geben? Das wäre spätestens dann ein Problem, wenn der digitale doch irgendwann der einzig gültige Ausweis ist: Dann haben wir den abschaltbaren Bürger.

Dieser neue Vorstoß der Regierung von Pedro Sánchez ist ein weiterer Schritt in Richtung der «totalen Digitalisierung» des Landes, wie diese Politik in manchen Medien – nicht einmal kritisch, sondern sehr naiv – genannt wird. Ebenso verharmlosend wird auch erwähnt, dass sich das spanische Projekt des digitalen Ausweises nahtlos in die Initiativen der EU zu einer digitalen Identität für alle Bürger sowie des digitalen Euro einreiht.

In Zukunft könnte der neue Ausweis «auch in andere staatliche und private digitale Plattformen integriert werden», wie das Medienportal Cope ganz richtig bemerkt. Das ist die Perspektive.

[Titelbild: Pixabay]

Dazu passend:

Nur Abschied vom Alleinfahren? Monströse spanische Überwachungsprojekte gemäß EU-Norm

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ 88cc134b:5ae99079

@ 6be5cc06:5259daf0

A seguir, veja como instalar e configurar o Privoxy no Pop!_OS.

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1. Instalar o Tor e o Privoxy

Abra o terminal e execute:

bash sudo apt update sudo apt install tor privoxy

Explicação:

• Tor: Roteia o tráfego pela rede Tor.
• Privoxy: Proxy avançado que intermedia a conexão entre aplicativos e o Tor.

---

2. Configurar o Privoxy

Abra o arquivo de configuração do Privoxy:

bash sudo nano /etc/privoxy/config

Navegue até a última linha (atalho: Ctrl + / depois Ctrl + V para navegar diretamente até a última linha) e insira:

bash forward-socks5 / 127.0.0.1:9050 .

Isso faz com que o Privoxy envie todo o tráfego para o Tor através da porta 9050.

Salve (CTRL + O e Enter) e feche (CTRL + X) o arquivo.

---

3. Iniciar o Tor e o Privoxy

Agora, inicie e habilite os serviços:

bash sudo systemctl start tor sudo systemctl start privoxy sudo systemctl enable tor sudo systemctl enable privoxy

Explicação:

• start: Inicia os serviços.
• enable: Faz com que iniciem automaticamente ao ligar o PC.

---

4. Configurar o Navegador Firefox

Para usar a rede Tor com o Firefox:

1. Abra o Firefox.
2. Acesse Configurações → Configurar conexão.
3. Selecione Configuração manual de proxy.
4. Configure assim:
   • Proxy HTTP: 127.0.0.1
   • Porta: 8118 (porta padrão do Privoxy)
   • Domínio SOCKS (v5): 127.0.0.1
   • Porta: 9050
5. Marque a opção "Usar este proxy também em HTTPS".
6. Clique em OK.

---

5. Verificar a Conexão com o Tor

Abra o navegador e acesse:

text https://check.torproject.org/

Se aparecer a mensagem "Congratulations. This browser is configured to use Tor.", a configuração está correta.

---

Dicas Extras

• Privoxy pode ser ajustado para bloquear anúncios e rastreadores.
• Outros aplicativos também podem ser configurados para usar o Privoxy.

@ 502ab02a:a2860397

เมื่อวานนี้เรารู้เรื่อง Meat Free Monday ของท่านเซอร์พอลกันแล้ว วันนี้เรามาต่อเนื่องกับแสงสีกันอีกนิดครับ

Anne Hathaway กับ The EVERY Company จากเจ้าหญิง The Princess Diaries สู่ราชินีโปรตีนไร้ไก่ ในยุคที่ความเปลี่ยนแปลงไม่เคาะประตู แต่มาถีบประตูบ้านเข้าใส่เลย บรรดาเซเล็บฮอลลีวูดก็ไม่ได้อยู่เฉยๆ แค่ใส่กระโปรงขึ้นพรมแดงหรือไปเล่นหนังรางวัลเท่านั้น แต่บางคน เช่น Anne Hathaway ก้าวเข้ามาอยู่เบื้องหลังระบบอาหารโลกในรูปแบบที่เงียบ…แต่เขย่าพื้นโลกได้เหมือนกัน

ใช่จ้ะ... Anne Hathaway คนเดียวกับที่เฮียเคยเห็นใน The Devil Wears Prada หรือเจ้าหญิง Mia ใน Princess Diaries ได้ลงทุนแบบเอาจริงกับบริษัทเทคโนโลยีอาหารสุดล้ำที่ชื่อว่า The EVERY Company ซึ่งพัฒนาโปรตีนจากไข่ที่ไม่ใช้ไก่ ไม่ต้องมีฟาร์ม ไม่ต้องฟัก และไม่ต้องฟูมฟักศีลธรรมให้สั่นไหวด้วยการฆ่าสัตว์เลยแม้แต่นิดเดียว

ทบทวนกันจากสัปดาห์ที่แล้วครับ The EVERY Company เดิมชื่อ Clara Foods ก่อตั้งในกลางยุค 2010s ณ ใจกลางซิลิคอนวัลเลย์ แหล่งรวมจินตนาการและเงิน VC ที่ไม่รู้จะเอาไปลงกับอะไรดี บริษัทนี้ไม่ได้เลี้ยงไก่ ไม่ได้ใช้ถาดไข่ แต่ใช้ “Precision Fermentation” ซึ่งก็คือการเอา DNA ที่เป็นรหัสของไข่ขาว (Ovalbumin) ไปใส่ในจุลินทรีย์สายพันธุ์เฉพาะ แล้วเลี้ยงด้วยน้ำตาลในถังหมัก สุดท้ายมันก็ผลิตโปรตีนออกมาที่มีโครงสร้าง “เหมือนของจริงเป๊ะ”

มันคือการทำไข่จาก “ยีสต์” ไม่ใช่จาก “แม่ไก่”

การลงทุนของ Anne ครั้งนี้ ถือเป็น B2B investment ครั้งแรกในชีวิต และดูจะไม่ใช่แค่ลงทุนแบบเซ็นเช็คเฉยๆ แล้วไปจิบไวน์ที่คานส์นะ เพราะเธอให้สัมภาษณ์ว่า

“It’s clear that our food system needs a change. EVERY is one part of a beautiful future.” (มันชัดเจนว่าระบบอาหารเราต้องเปลี่ยนแปลง EVERY คือส่วนหนึ่งของอนาคตที่งดงามนั้น)

แม้ไม่มีการเปิดเผยจำนวนเงินหรือสัดส่วนหุ้นอย่างเป็นทางการ แต่สื่ออุตสาหกรรมอาหารอย่าง Food Navigator USA ก็ชี้ว่า เธอเป็นอีกแรงที่ช่วยดันชื่อเสียงของบริษัทให้ “กลายเป็นไวรัล” ในหมู่นักลงทุน และอาจเปิดประตูสู่การยอมรับของตลาดผู้บริโภคได้ในวงกว้าง

The EVERY Company ไม่ได้หวังจะแค่ขาย “ไข่” ในซูเปอร์มาร์เก็ตแบบธรรมดาๆ แต่เริ่ม “แทรกซึม” จากเบื้องหลังในอุตสาหกรรมอาหารอย่างแยบยล จะเปลี่ยนระบบอาหารโดยใช้แนวทาง “B2B only” คือผลิตขายให้เชฟ ร้านอาหาร และโรงงานเท่านั้น (ยังไม่วางจำหน่ายปลีกทั่วไป เพราะบางตัวอย่าง EVERY Egg ยังรอรับรอง GRAS จาก FDA)

เคยมีการร่วมงานกับเชฟมิชลิน Dominique Crenn จากร้าน Atelier Crenn ในนครซานฟรานซิสโก ซึ่งเธอยืนยันว่า EVERY Egg เป็นตัวเปลี่ยนเกม ที่ทำให้เธอสามารถสร้างเมนูใหม่ที่ “ไร้สัตว์” ได้โดยไม่เสียความสร้างสรรค์หรือรสชาติ

แม้ Anne จะไม่มีตำแหน่งในบอร์ดบริหาร แต่การที่เธอลงทุนใน The EVERY Company ทำให้หลายองค์กรจับตามอง และส่งผลต่อภาพลักษณ์ของ “โปรตีนสังเคราะห์จากจุลินทรีย์” ให้ดูหรู ดูสะอาด และเหมาะกับสายสุขภาพ-มังสวิรัติ ทั้งที่จริงๆ แล้ว มันคือ “ผลิตภัณฑ์โรงงานที่ผ่านกระบวนการขั้นสูงมาก”

The EVERY Company ยังได้รับเงินลงทุนจากกลุ่มใหญ่อย่าง Temasek (กองทุนจากสิงคโปร์) และ Prosperity7 Ventures ที่เป็นแขนของ Saudi Aramco ซึ่งก็เป็นอีกประเด็นน่าคิด…ว่าพลังทุนที่อยู่เบื้องหลัง “ไข่ไม่ใช้ไก่” นี้ มาจากหลายทิศหลายทาง ทั้ง Silicon Valley, ตะวันออกกลาง และ Hollywood

การที่ Anne Hathaway ลงทุนใน EVERY ไม่ใช่เรื่องผิด แต่เป็นหมุดหมายที่น่าสนใจในยุคที่ “อาหาร” ไม่ใช่แค่เรื่องอิ่มท้อง แต่กลายเป็นการเมือง วิทยาศาสตร์ เศรษฐกิจ และการสร้างภาพลักษณ์ของคนดังในคราวเดียวกัน

ไข่ที่ไม่มีไก่ โปรตีนที่ไม่มีฟาร์ม…ดูเหมือนจะสวยงาม แต่ถ้าเรามองให้ลึก บางครั้งอาหารก็อาจไม่ใช่เรื่อง “ของกิน” อย่างเดียวอีกต่อไป

เรื่องบางเรื่อง คนในบางสังคม คนในบางกลุ่มเท่านั้น ที่จะมีโอกาสเลือกก่อน กี่ครั้งต่อกี่ครั้ง ก็แบบนี้ครับ #pirateketo #กูต้องรู้มั๊ย #ม้วนหางสิลูก #siamstr

@ aa8de34f:a6ffe696

In seinem Beitrag vom 30. März 2025 fragt Henning Rosenbusch auf Telegram angesichts zunehmender digitaler Kontrolle und staatlicher Allmacht:

„Wie soll sich gegen eine solche Tyrannei noch ein Widerstand formieren können, selbst im Untergrund? Sehe ich nicht.“\ (Quelle: t.me/rosenbusch/25228)

Er beschreibt damit ein Gefühl der Ohnmacht, das viele teilen: Eine Welt, in der Totalitarismus nicht mehr mit Panzern, sondern mit Algorithmen kommt. Wo Zugriff auf Geld, Meinungsfreiheit und Teilhabe vom Wohlverhalten abhängt. Der Bürger als kontrollierbare Variable im Code des Staates.\ Die Frage ist berechtigt. Doch die Antwort darauf liegt nicht in alten Widerstandsbildern – sondern in einer neuen Realität.

-- Denn es braucht keinen Untergrund mehr. --

Der Widerstand der Zukunft trägt keinen Tarnanzug. Er ist nicht konspirativ, sondern transparent. Nicht bewaffnet, sondern mathematisch beweisbar. Bitcoin steht nicht am Rand dieser Entwicklung – es ist ihr Fundament. Eine Bastion aus physikalischer Realität, spieltheoretischem Schutz und ökonomischer Wahrheit. Es ist nicht unfehlbar, aber unbestechlich. Nicht perfekt, aber immun gegen zentrale Willkür.

Hier entsteht kein „digitales Gegenreich“, sondern eine dezentrale Renaissance. Keine Revolte aus Wut, sondern eine stille Abkehr: von Zwang zu Freiwilligkeit, von Abhängigkeit zu Selbstverantwortung. Diese Revolution führt keine Kriege. Sie braucht keine Führer. Sie ist ein Netzwerk. Jeder Knoten ein Individuum. Jede Entscheidung ein Akt der Selbstermächtigung.

Weltweit wachsen Freiheits-Zitadellen aus dieser Idee: wirtschaftlich autark, digital souverän, lokal verankert und global vernetzt. Sie sind keine Utopien im luftleeren Raum, sondern konkrete Realitäten – angetrieben von Energie, Code und dem menschlichen Wunsch nach Würde.

Der Globalismus alter Prägung – zentralistisch, monopolistisch, bevormundend – wird an seiner eigenen Hybris zerbrechen. Seine Werkzeuge der Kontrolle werden ihn nicht retten. Im Gegenteil: Seine Geister werden ihn verfolgen und erlegen.

Und während die alten Mächte um Erhalt kämpfen, wächst eine neue Welt – nicht im Schatten, sondern im Offenen. Nicht auf Gewalt gebaut, sondern auf Mathematik, Physik und Freiheit.

Die Tyrannei sieht keinen Widerstand.\ Weil sie nicht erkennt, dass er längst begonnen hat.\ Unwiderruflich. Leise. Überall.

@ 9e69e420:d12360c2

A new report from the National Sports Shooting Foundation (NSSF) shows that civilian firearm possession exceeded 490 million in 2022. The total from 1990 to 2022 is estimated at 491.3 million firearms. In 2022, over ten million firearms were domestically produced, leading to a total of 16,045,911 firearms available in the U.S. market.

Of these, 9,873,136 were handguns, 4,195,192 were rifles, and 1,977,583 were shotguns. Handgun availability aligns with the concealed carry and self-defense market, as all states allow concealed carry, with 29 having constitutional carry laws.

@ e31e84c4:77bbabc0

Bitcoin and Fixed Income was Written By Wyatt O’Rourke. If you enjoyed this article then support his writing, directly, by donating to his lightning wallet: ultrahusky3@primal.net

Fiduciary duty is the obligation to act in the client’s best interests at all times, prioritizing their needs above the advisor’s own, ensuring honesty, transparency, and avoiding conflicts of interest in all recommendations and actions.

This is something all advisors in the BFAN take very seriously; after all, we are legally required to do so. For the average advisor this is a fairly easy box to check. All you essentially have to do is have someone take a 5-minute risk assessment, fill out an investment policy statement, and then throw them in the proverbial 60/40 portfolio. You have thousands of investment options to choose from and you can reasonably explain how your client is theoretically insulated from any move in the \~markets\~. From the traditional financial advisor perspective, you could justify nearly anything by putting a client into this type of portfolio. All your bases were pretty much covered from return profile, regulatory, compliance, investment options, etc. It was just too easy. It became the household standard and now a meme.

As almost every real bitcoiner knows, the 60/40 portfolio is moving into psyop territory, and many financial advisors get clowned on for defending this relic on bitcoin twitter. I’m going to specifically poke fun at the ‘40’ part of this portfolio.

The ‘40’ represents fixed income, defined as…

An investment type that provides regular, set interest payments, such as bonds or treasury securities, and returns the principal at maturity. It’s generally considered a lower-risk asset class, used to generate stable income and preserve capital.

Historically, this part of the portfolio was meant to weather the volatility in the equity markets and represent the “safe” investments. Typically, some sort of bond.

First and foremost, the fixed income section is most commonly constructed with U.S. Debt. There are a couple main reasons for this. Most financial professionals believe the same fairy tale that U.S. Debt is “risk free” (lol). U.S. debt is also one of the largest and most liquid assets in the market which comes with a lot of benefits.

There are many brilliant bitcoiners in finance and economics that have sounded the alarm on the U.S. debt ticking time bomb. I highly recommend readers explore the work of Greg Foss, Lawrence Lepard, Lyn Alden, and Saifedean Ammous. My very high-level recap of their analysis:

• A bond is a contract in which Party A (the borrower) agrees to repay Party B (the lender) their principal plus interest over time.

• The U.S. government issues bonds (Treasury securities) to finance its operations after tax revenues have been exhausted.

• These are traditionally viewed as “risk-free” due to the government’s historical reliability in repaying its debts and the strength of the U.S. economy

• U.S. bonds are seen as safe because the government has control over the dollar (world reserve asset) and, until recently (20 some odd years), enjoyed broad confidence that it would always honor its debts.

• This perception has contributed to high global demand for U.S. debt but, that is quickly deteriorating.

• The current debt situation raises concerns about sustainability.

• The U.S. has substantial obligations, and without sufficient productivity growth, increasing debt may lead to a cycle where borrowing to cover interest leads to more debt.

• This could result in more reliance on money creation (printing), which can drive inflation and further debt burdens.

In the words of Lyn Alden “Nothing stops this train”

Those obligations are what makes up the 40% of most the fixed income in your portfolio. So essentially you are giving money to one of the worst capital allocators in the world (U.S. Gov’t) and getting paid back with printed money.

As someone who takes their fiduciary responsibility seriously and understands the debt situation we just reviewed, I think it’s borderline negligent to put someone into a classic 60% (equities) / 40% (fixed income) portfolio without serious scrutiny of the client’s financial situation and options available to them. I certainly have my qualms with equities at times, but overall, they are more palatable than the fixed income portion of the portfolio. I don’t like it either, but the money is broken and the unit of account for nearly every equity or fixed income instrument (USD) is fraudulent. It’s a paper mache fade that is quite literally propped up by the money printer.

To briefly be as most charitable as I can – It wasn’t always this way. The U.S. Dollar used to be sound money, we used to have government surplus instead of mathematically certain deficits, The U.S. Federal Government didn’t used to have a money printing addiction, and pre-bitcoin the 60/40 portfolio used to be a quality portfolio management strategy. Those times are gone.

Now the fun part. How does bitcoin fix this?

Bitcoin fixes this indirectly. Understanding investment criteria changes via risk tolerance, age, goals, etc. A client may still have a need for “fixed income” in the most literal definition – Low risk yield. Now you may be thinking that yield is a bad word in bitcoin land, you’re not wrong, so stay with me. Perpetual motion machine crypto yield is fake and largely where many crypto scams originate. However, that doesn’t mean yield in the classic finance sense does not exist in bitcoin, it very literally does. Fortunately for us bitcoiners there are many other smart, driven, and enterprising bitcoiners that understand this problem and are doing something to address it. These individuals are pioneering new possibilities in bitcoin and finance, specifically when it comes to fixed income.

Here are some new developments –

Private Credit Funds – The Build Asset Management Secured Income Fund I is a private credit fund created by Build Asset Management. This fund primarily invests in bitcoin-backed, collateralized business loans originated by Unchained, with a secured structure involving a multi-signature, over-collateralized setup for risk management. Unchained originates loans and sells them to Build, which pools them into the fund, enabling investors to share in the interest income.

Dynamics

• Loan Terms: Unchained issues loans at interest rates around 14%, secured with a 2/3 multi-signature vault backed by a 40% loan-to-value (LTV) ratio.
• Fund Mechanics: Build buys these loans from Unchained, thus providing liquidity to Unchained for further loan originations, while Build manages interest payments to investors in the fund.

Pros

• The fund offers a unique way to earn income via bitcoin-collateralized debt, with protection against rehypothecation and strong security measures, making it attractive for investors seeking exposure to fixed income with bitcoin.

Cons

• The fund is only available to accredited investors, which is a regulatory standard for private credit funds like this.

Corporate Bonds – MicroStrategy Inc. (MSTR), a business intelligence company, has leveraged its corporate structure to issue bonds specifically to acquire bitcoin as a reserve asset. This approach allows investors to indirectly gain exposure to bitcoin’s potential upside while receiving interest payments on their bond investments. Some other publicly traded companies have also adopted this strategy, but for the sake of this article we will focus on MSTR as they are the biggest and most vocal issuer.

Dynamics

• Issuance: MicroStrategy has issued senior secured notes in multiple offerings, with terms allowing the company to use the proceeds to purchase bitcoin.

• Interest Rates: The bonds typically carry high-yield interest rates, averaging around 6-8% APR, depending on the specific issuance and market conditions at the time of issuance.

• Maturity: The bonds have varying maturities, with most structured for multi-year terms, offering investors medium-term exposure to bitcoin’s value trajectory through MicroStrategy’s holdings.

Pros

• Indirect Bitcoin exposure with income provides a unique opportunity for investors seeking income from bitcoin-backed debt.

• Bonds issued by MicroStrategy offer relatively high interest rates, appealing for fixed-income investors attracted to the higher risk/reward scenarios.

Cons

• There are credit risks tied to MicroStrategy’s financial health and bitcoin’s performance. A significant drop in bitcoin prices could strain the company’s ability to service debt, increasing credit risk.

• Availability: These bonds are primarily accessible to institutional investors and accredited investors, limiting availability for retail investors.

Interest Payable in Bitcoin – River has introduced an innovative product, bitcoin Interest on Cash, allowing clients to earn interest on their U.S. dollar deposits, with the interest paid in bitcoin.

Dynamics

• Interest Payment: Clients earn an annual interest rate of 3.8% on their cash deposits. The accrued interest is converted to Bitcoin daily and paid out monthly, enabling clients to accumulate Bitcoin over time.

• Security and Accessibility: Cash deposits are insured up to $250,000 through River’s banking partner, Lead Bank, a member of the FDIC. All Bitcoin holdings are maintained in full reserve custody, ensuring that client assets are not lent or leveraged.

Pros

• There are no hidden fees or minimum balance requirements, and clients can withdraw their cash at any time.

• The 3.8% interest rate provides a predictable income stream, akin to traditional fixed-income investments.

Cons

• While the interest rate is fixed, the value of the Bitcoin received as interest can fluctuate, introducing potential variability in the investment’s overall return.

• Interest rate payments are on the lower side

Admittedly, this is a very small list, however, these types of investments are growing more numerous and meaningful. The reality is the existing options aren’t numerous enough to service every client that has a need for fixed income exposure. I challenge advisors to explore innovative options for fixed income exposure outside of sovereign debt, as that is most certainly a road to nowhere. It is my wholehearted belief and call to action that we need more options to help clients across the risk and capital allocation spectrum access a sound money standard.

Additional Resources

• River: The future of saving is here: Earn 3.8% on cash. Paid in Bitcoin.

• Onramp: Bitcoin, The Emergent Asset Class

• MicroStrategy: MicroStrategy Announces Pricing of Offering of Convertible Senior Notes

---

Bitcoin and Fixed Income was Written By Wyatt O’Rourke. If you enjoyed this article then support his writing, directly, by donating to his lightning wallet: ultrahusky3@primal.net

@ 7460b7fd:4fc4e74b

PR 32359：取消 OP_RETURN 字节限制提案深入分析

提案概述及代码变更内容

提案背景与意图：比特币核心当前对交易中的 OP_RETURN 输出（数据载体输出）有严格限制：默认最多允许单个 OP_RETURN 输出，且其 scriptPubKey 大小不超过 83 字节（约80字节数据加上OP_RETURN和Pushdata前缀）groups.google.com。这一标准规则旨在轻度阻碍链上存储大量任意数据，鼓励将非金融数据以“更无害”的方式存入链上（比如用OP_RETURN而非可花费的UTXO输出）groups.google.com。然而随着时间推移，这一限制并未阻止用户将数据写入区块链，反而促使开发者设计各种变通方案绕过限制。例如，近期 Citrea Clementine 协议（闪电网络相关项目）因为OP_RETURN容量不足，而改用不可花费的Taproot输出来存储所需数据groups.google.com。这样的做法导致大量小额UTXO留存在UTXO集，对全节点造成负担，被视为比使用OP_RETURN更有害的副作用github.com。基于此背景，Bitcoin Core 开发者 Peter Todd（与 Chaincode 实验室的 Antoine Poinsot 等人）提出了 PR #32359，意在解除OP_RETURN的字节大小限制，以消除这种“适得其反”的限制策略groups.google.comgithub.com。

**代码变更要点：**该PR主要修改了与标准交易校验和策略配置相关的代码，包括移除 script/standard.cpp 中对OP_RETURN输出大小和数量的检查，以及删除策略配置选项 -datacarrier 和 -datacarriersizegithub.com。具体而言：

• 取消OP_RETURN大小限制：删除了判断OP_RETURN数据长度是否超过 MAX_OP_RETURN_RELAY（83字节）的标准性检查。此后，交易中的OP_RETURN输出脚本长度将不再被固定上限限制，只要满足区块重量等共识规则即可（理论上可嵌入远大于83字节的数据）github.comgroups.google.com。PR说明中明确提到移除了这些限制的执行代码github.com。相应地，-datacarriersize 配置参数被删除，因为其存在意义（设置OP_RETURN字节上限）已不复存在github.com。此前 -datacarriersize 默认为83，当用户调高该值时节点可接受更大数据载体输出；而现在代码中已无此参数，节点将无条件接受任意大小的OP_RETURN输出。

• 移除OP_RETURN输出数量限制：原先比特币核心默认策略还规定每笔交易最多只有一个OP_RETURN输出是标准的，多于一个即视为非标准交易（拒绝中继）bitcoin.stackexchange.com。该PR同样意在取消此“任意”限制groups.google.com。修改中移除了对 nDataOut（OP_RETURN输出计数）的检查，即允许一笔交易包含多个OP_RETURN输出而仍被视作标准交易。之前的代码若检测到 nDataOut > 1 会返回“multi-op-return”的拒绝原因github.com；PR删除了这一段逻辑，相应的功能测试也更新或移除了对“multi-op-return”非标准原因的断言github.com。

• 保留标准形式要求：值得注意的是，OP_RETURN输出的形式要求仍保留。PR描述中强调“数据载体输出的形式仍保持标准化：脚本以单个 OP_RETURN 开头，后跟任意数量的数据推字节；不允许非数据类的其他脚本操作码”github.com。也就是说，虽然大小和数量限制解除了，但OP_RETURN脚本内容只能是纯数据，不能夹带其他执行opcode。这保证了这些输出依然是“不可花费”的纯数据输出，不会改变它们对UTXO集的影响（不会增加UTXO）。

综上，PR #32359 的核心改动在策略层面放宽了对 OP_RETURN 的限制，删除了相关配置和检查，使节点默认接受任意大小、任意数量的 OP_RETURN 数据输出。同时维持其基本形式（OP_RETURN+数据）以确保此变更不会引入其它类型的非标准交易格式。

改动层级：策略规则 vs 共识规则

该提案属于策略层（policy-level）的更改，而非共识层规则的更改。也就是说，它影响的是节点对交易的_中继、存储和打包_策略，而不改变交易或区块在链上的有效性判定。OP_RETURN字节上限和数量限制从一开始就是标准性约束（Standardness），并非比特币共识协议的一部分groups.google.com。因此，移除这些限制不会导致旧节点与新节点产生区块共识分歧。具体理由如下：

• 无共识规则变动：原有的83字节上限只是节点默认_拒绝转发/挖矿_超限交易的规则，但如果矿工强行将超83字节的OP_RETURN交易打包进区块，所有遵循共识规则的节点（包括未升级的旧节点）依然会接受该区块。因为共识层并没有“OP_RETURN大小不得超过83字节”的规定github.com。正如开发者所指出的，现行的OP_RETURN限制属于“standardness rules”，其约束可以被轻易绕过，并不影响交易的最终有效性github.com。Peter Todd 在评论中强调，为真正禁止链上发布任意数据，必须修改比特币的共识协议，而这在现实中几乎不可能实施github.com。

• **旧节点兼容性：**由于没有引入新的脚本opcode或共识验证规则，旧版本节点即使不升级，仍然会承认包含大OP_RETURN输出的区块为有效。换言之，不存在分叉风险。旧节点唯一的区别是仍会按照老策略拒绝中继此类交易，但一旦交易被打包进区块，它们仍会接受github.com。正因如此，这一提议不会引发硬分叉，只是改变默认策略。

• **策略可自行定制：**另外，正如PR作者所言，这纯粹是默认策略的调整，用户依然可以选择运行修改版的软件继续实施先前的限制。例如，Peter Todd提到有替代实现（如 Bitcoin Knots）可以继续强制这些限制github.com。因此，这并非要“强制”所有节点解除限制，而是主流软件默认策略的演进。

需要澄清的是，有反对者担心解除限制可能扩大攻击面（下文详述），但这些都是针对节点资源和网络层面的影响，而非共识层安全性问题。总的来看，PR #32359 是策略层改进，与先前如RBF默认开启、逐渐弱化非标准交易限制等改变类似，其出发点在于网络行为而非协议规则本身。

对闪电网络节点和交易验证的影响

对链上验证的影响：由于这是策略层变更，交易和区块的验证规则并未改变，因此运行旧版本 Bitcoin Core 的闪电网络节点在共识上不会出现任何问题。闪电网络全节点通常依赖比特币全节点来跟踪链上交易，它们关心的是交易确认和共识有效性。解除OP_RETURN限制并不会使旧节点拒绝新区块，因而不会造成闪电通道关闭交易或HTLC交易在旧节点上验签失败等情况。换句话说，不升级Bitcoin Core软件的LN节点仍可正常参与链上共识，无需担心链上交易验证兼容性。

对节点中继和资源的影响：主要影响在于网络传播和资源占用。如果闪电网络节点所连接的Bitcoin Core没有升级，它将不会中继或存储那些含有超大OP_RETURN的未确认交易（因为旧版本视之为非标准交易）。这可能导致未升级节点的内存池与升级节点不一致：某些在新版节点中合法存在的交易，在旧版中被拒之门外。不过这通常不影响闪电网络的运行，因为闪电通道相关交易本身不会包含OP_RETURN数据输出。此外，当这些交易被矿工打包进区块后，旧节点依然会接收到区块并处理。所以，即便LN节点的后端Bitcoin Core未升级，最坏情形只是它在交易未打包时可能感知不到这些“大数据”交易，但这通常无碍于闪电网络功能（闪电网络主要关心的是通道交易的确认情况）。

升级的好处和必要性：从闪电网络生态来看，放宽OP_RETURN限制反而可能带来一些正面作用。正如前述，已有闪电网络周边项目因为83字节限制不足，转而使用不可花费输出存储数据groups.google.com。例如 Antoine Poinsot 在邮件列表中提到的 Clementine 协议，将某些watchtower挑战数据存进Taproot输出，因为OP_RETURN容量不够groups.google.com。解除限制后，此类应用完全可以改用更友好的OP_RETURN输出来存储数据，不再制造永久占据UTXO集的“垃圾”UTXOgithub.com。因此，闪电网络的watchtower、跨链桥等组件若需要在链上写入证据数据，将可直接利用更大的OP_RETURN输出，网络整体效率和健壮性都会提升。

需要注意的是，如果PR最终被合并并广泛部署，闪电网络节点运营者应该升级其Bitcoin Core后端以跟上新的默认策略。升级后，其节点将和大多数网络节点一样中继和接受大OP_RETURN交易，确保自己的内存池和网络同步，不会漏掉一些潜在相关交易（尽管目前来看，这些交易对LN通道本身并无直接关联）。总之，从兼容性看不升级没有致命问题，但从网络参与度和功能上看，升级是有益的。

潜在的间接影响：反对者提出，解除限制可能导致区块和内存池充斥更多任意数据，从而推高链上手续费、影响闪电通道关闭时所需的手续费估计。例如，如果大量大OP_RETURN交易占据区块空间，链上拥堵加剧，LN通道关闭需要支付更高费用才能及时确认。这其实是一般性拥堵问题，并非LN特有的兼容性问题。支持者则认为，这正是自由市场作用的体现，使用链上空间就该竞争付费github.com。无论如何，闪电网络作为二层方案，其优势在于减少链上交互频率，链上手续费市场的变化对LN有影响但不改变其运行逻辑。LN节点只需确保其Bitcoin Core正常运行、及时跟上链上状态即可。

开发者讨论焦点：支持与反对观点

PR #32359 在开发者社区引发了激烈讨论，支持者和反对者针锋相对，各自提出了有力的论据。以下总结双方主要观点：

• 支持方观点：

• 当前限制无效且适得其反：支持者强调83字节上限并未阻止人们在链上存数据，反而促使更有害的行为。Peter Todd指出，很多协议改用不可花费UTXO或在scriptsig中藏数据来绕过OP_RETURN限制，结果增加了UTXO集膨胀，这是限制OP_RETURN带来的反效果github.com。与其如此，不如移除限制，让数据都写入可被丢弃的OP_RETURN输出，避免UTXO污染github.comgithub.com。正如一位支持者所言：“与其让尘埃UTXO永远留在UTXO集合，不如使用可证明不可花费的输出（OP_RETURN）”github.com。

• **限制易被绕过，增添维护负担：**由于有些矿工或服务商（如MARA Slipstream私有广播）本就接受大OP_RETURN交易，这一限制对有心者来说形同虚设github.com。同时，存在维护这个限制的代码和配置选项，增加了节点实现复杂度。Todd认为，与其让Bitcoin Core承担维护“低效甚至有害”的限制，不如干脆取消，有需要的人可以使用其他软件实现自己的政策github.com。他提到有替代的Bitcoin Knots节点可自行过滤“垃圾”交易，但没必要要求Bitcoin Core默认坚持这些无效限制github.com。

• 尊重自由市场，拥抱链上数据用例：部分支持者从理念上认为，比特币区块空间的使用应交由手续费市场决定，而不应由节点软件做人为限制。著名开发者 Jameson Lopp 表示，是时候承认“有人就是想用比特币做数据锚定”，我们应当提供更优方式满足这种需求，而不是一味阻碍github.com。他认为用户既然愿意付费存数据，就说明这种行为对他们有价值，矿工也有动力处理；网络层不应进行过度的“父爱”式管制github.com。对于反对者所称“大数据交易会挤占区块、抬高手续费”，Lopp直言“这本来就是区块空间市场运作方式”，愿付高费者得以优先确认，无可厚非github.com。

• 统一与简化策略：还有支持者指出，既然限制容易绕过且逐渐没人遵守，那保留它只会造成节点之间策略不一致，反而增加网络复杂性。通过取消限制，所有核心节点一致地接受任意大小OP_RETURN，可避免因为策略差异导致的网络孤块或中继不畅（尽管共识不受影响，但策略不一致会带来一些网络层问题）。同时删除相关配置项，意味着简化用户配置，减少困惑和误用。Peter Todd在回应保留配置选项的建议时提到，Bitcoin Core在Full-RBF功能上也曾移除过用户可选项，直接默认启用，因为现实证明矿工最终都会朝盈利的方向调整策略，节点自行设置反而无济于事github.com。他以RBF为例：在Core开启默认Full-RBF之前，矿工几乎已经100%自行采用了RBF策略，因此保留开关意义不大github.com。类比来看，数据交易也是如此：如果有利可图，矿工终会打包，无论节点是否选择不转发。

• 反对方观点：

• 去除限制会放松对垃圾交易的防线：反对者担心，一旦解除OP_RETURN限制，链上将出现更多纯粹存储数据的“垃圾”交易，给网络带来DoS攻击和资源消耗风险。开发者 BrazyDevelopment 详细描述了可能被加剧的攻击向量github.com：首先，“Flood-and-Loot”攻击——攻击者构造带有巨大OP_RETURN数据的低价值交易（符合共识规则，多笔交易可达数MB数据），疯狂填充各节点的内存池。github.com这样会占满节点内存和带宽，延迟正常交易的传播和确认，并推高手续费竞争。github.com虽然节点有maxmempool大小限制和最低中继费率等机制，但这些机制基于常规交易行为调校，面对异常海量的数据交易可能捉襟见肘github.com。其次，“RBF替换循环”攻击——攻击者可以利用无需额外费用的RBF替换，不断发布和替换包含大OP_RETURN的数据交易，在内存池中反复占据空间却不被确认，从而扰乱手续费市场和内存池秩序github.com。反对者认为，移除大小上限将使上述攻击更廉价、更容易实施github.com。他们主张即便要放宽，也应设定一个“高但合理”的上限（例如100KB），或在内存池压力大时动态调整限制，以保护较小资源节点的运行github.com。

• 用户丧失自定义策略的权利：一些开发者反对彻底删掉 -datacarrier 和 -datacarriersize 选项。他们认为即使大势所趋是接受更多数据，也应保留用户自主选择的空间。正如开发者 BitcoinMechanic 所言：“矿工接受大数据交易不代表用户就不能选择自己的内存池装些什么”github.com。目前用户可以通过配置将-datacarrier设为0（不中继OP_RETURN交易）或者调低-datacarriersize来严格限制自己节点的策略。直接去除这些选项，会让那些出于各种考虑（如运营受限资源节点、防范垃圾数据）的用户失去控制权。从这个角度看，反对者认为限制应该由用户 opt-in 地解除，而不是一刀切放开。开发者 Retropex 也表示：“如果矿工想要更大的数据载体交易，他们完全可以自行调整这些设置…没有理由剥夺矿工和节点运营者做选择的权利”github.com。

• 此改动非必要且不符合部分用户利益：有反对意见认为当前83字节其实已经能覆盖绝大多数合理应用需求，更大的数据上链并非比特币设计初衷。他们担心放开限制会鼓励把比特币区块链当作任意数据存储层，偏离“点对点电子现金”主线，可能带来长期的链膨胀问题。这一阵营有人将此争议上升为理念之争：是坚持比特币作为金融交易为主，还是开放成为通用数据区块链？有评论形容这场拉锯“有点类似2017年的扩容之争”，虽然本质不同（一个是共识层区块大小辩论，一个是策略层数据使用辩论），但双方观点分歧同样明显99bitcoins.com99bitcoins.com。一些反对者（如Luke Dashjr等）长期主张减少非必要的数据上链，此次更是明确 Concept NACK。Luke-Jr 认为，其实完全可以通过引入地址格式变化等办法来识别并限制存数据的交易，而不需要动用共识层改动github.com（虽然他也承认这会非常激进和不现实，但以此反驳“除了改共识无计可施”的观点）。总之，反对者倾向于维持现状：代码里已有的限制无需移除，至少不应在无压倒性共识下贸然改变github.com。

• 社区共识不足：许多开发者在GitHub上给出了“Concept NACK”（概念上不支持）的评价。一位参与者感叹：“又来？两年前讨论过的理由现在依然适用”github.com。在PR的Review日志中，可以看到反对此提案的活跃贡献者数量明显多于支持者github.com。例如，反对阵营包括 Luke-Jr、BitcoinMechanic、CryptoGuida、1ma 等众多开发者和社区成员，而支持此提案的核心开发者相对少一些（包括Jameson Lopp、Sjöors、Sergio Demian Lerner等）github.com。这种意见分裂显示出社区对取消OP_RETURN限制尚未达成广泛共识。一些反对者还担忧这么大的改动可能引发社区矛盾，甚至有人夸张地提到可能出现新的链分叉风险99bitcoins.com99bitcoins.com（虽然实际上由于不涉及共识，硬分叉风险很小，但社区内部分歧确实存在）。

综上，支持者聚焦于提高链上效率、顺应实际需求和减轻UTXO负担，认为解除限制利大于弊；而反对者强调网络稳健、安全和用户自主，担心轻易放开会招致滥用和攻击。双方在GitHub上的讨论异常热烈，很多评论获得了数十个👍或👎表态，可见整个社区对此议题的关注度之高github.comgithub.com。

PR当前状态及后续展望

截至目前（2025年5月初），PR #32359 仍处于开放讨论阶段，并未被合并。鉴于该提案在概念上收到了众多 NACK，缺乏开发者间的明确共识，短期内合并的可能性不大。GitHub 上的自动统计显示，给予“Concept NACK”的评审者数量显著超过“Concept ACK”的数量github.com。这表明在Bitcoin Core维护者看来，社区对是否采纳此改动存在明显分歧。按照 Bitcoin Core 一贯的谨慎作风，当一个提案存在较大争议时，通常会被搁置或要求进一步修改、讨论，而不会仓促合并。

目前，该PR正等待进一步的评审和讨论。有开发者提出了替代方案或折中思路。例如，Bitcoin Core维护者 instagibbs 提交了相关的 PR #32406，提议仅取消默认的OP_RETURN大小上限（等效于将-datacarriersize默认提高到极大），但保留配置选项，从而在不牺牲用户选择权的情况下实现功能开放github.com。这表明部分反对者并非完全拒绝放宽限制，而是希望以更温和的方式推进。PR #32359 与这些提案互相冲突，需要协调出统一的方案github.com。另外，也有开发者建议在测试网上模拟大OP_RETURN交易的攻击场景，以评估风险、说服怀疑者github.com。

审议状态总结：综合来看，PR #32359 尚未接近合并，更谈不上被正式接受进入下一个Bitcoin Core版本。它既没有被关闭（拒绝），也没有快速进入最终review/merge阶段，而是停留在激烈讨论中。目前Bitcoin Core的维护者并未给出明确的合并时间表，反而是在鼓励社区充分讨论其利弊。未来的走向可能有几种：要么提案经过修改（例如保留配置项、增加安全机制等）逐渐赢得共识后合并，要么维持搁置等待更明确的社区信号。此外，不排除开发者转而采用渐进路线——例如先在测试网络取消限制试验，或先提高上限值而非彻底移除，以观察效果。也有可能此提案最终会因共识不足而长期悬而不决。

总之，OP_RETURN字节限制之争体现了比特币开发中策略层决策的审慎和平衡：需要在创新开放与稳健保守之间找到折衷。PR #32359 所引发的讨论仍在持续，它的意义在于促使社区重新审视链上数据存储的策略取舍。无论最终结果如何，这一讨论本身对比特币的发展具有积极意义，因为它让开发者和社区更加清晰地权衡了比特币作为数据载体和价值载体的定位。我们将持续关注该提案的进展，以及围绕它所展开的进一步测试和论证。github.comgroups.google.com

引用来源：

• Bitcoin Core PR #32359 提案内容github.comgithub.com及开发者讨论（Peter Todd评论github.comgithub.com等）

• Bitcoin Dev 邮件列表讨论帖：《Relax OP_RETURN standardness restrictions》groups.google.comgroups.google.com

• GitHub 开发者评论摘录：支持意见（Jameson Loppgithub.com等）与反对意见（BitcoinMechanicgithub.com、BrazyDevelopmentgithub.com等）

• Bitcoin Core PR 评论自动统计（Concept ACK/NACK 汇总）github.com

@ c631e267:c2b78d3e

Der Irrsinn ist bei Einzelnen etwas Seltenes – \ aber bei Gruppen, Parteien, Völkern, Zeiten die Regel. \ Friedrich Nietzsche

Erinnern Sie sich an die Horrorkomödie «Scary Movie»? Nicht, dass ich diese Art Filme besonders erinnerungswürdig fände, aber einige Szenen daraus sind doch gewissermaßen Klassiker. Dazu zählt eine, die das Verhalten vieler Protagonisten in Horrorfilmen parodiert, wenn sie in Panik flüchten. Welchen Weg nimmt wohl die Frau in der Situation auf diesem Bild?

Diese Szene kommt mir automatisch in den Sinn, wenn ich aktuelle Entwicklungen in Europa betrachte. Weitreichende Entscheidungen gehen wider jede Logik in die völlig falsche Richtung. Nur ist das hier alles andere als eine Komödie, sondern bitterernst. Dieser Horror ist leider sehr real.

Die Europäische Union hat sich selbst über Jahre konsequent in eine Sackgasse manövriert. Sie hat es versäumt, sich und ihre Politik selbstbewusst und im Einklang mit ihren Wurzeln auf dem eigenen Kontinent zu positionieren. Stattdessen ist sie in blinder Treue den vermeintlichen «transatlantischen Freunden» auf ihrem Konfrontationskurs gen Osten gefolgt.

In den USA haben sich die Vorzeichen allerdings mittlerweile geändert, und die einst hoch gelobten «Freunde und Partner» erscheinen den europäischen «Führern» nicht mehr vertrauenswürdig. Das ist spätestens seit der Münchner Sicherheitskonferenz, der Rede von Vizepräsident J. D. Vance und den empörten Reaktionen offensichtlich. Große Teile Europas wirken seitdem wie ein aufgescheuchter Haufen kopfloser Hühner. Orientierung und Kontrolle sind völlig abhanden gekommen.

Statt jedoch umzukehren oder wenigstens zu bremsen und vielleicht einen Abzweig zu suchen, geben die Crash-Piloten jetzt auf dem Weg durch die Sackgasse erst richtig Gas. Ja sie lösen sogar noch die Sicherheitsgurte und deaktivieren die Airbags. Den vor Angst dauergelähmten Passagieren fällt auch nichts Besseres ein und so schließen sie einfach die Augen. Derweil übertrumpfen sich die Kommentatoren des Events gegenseitig in sensationslüsterner «Berichterstattung».

Wie schon die deutsche Außenministerin mit höchsten UN-Ambitionen, Annalena Baerbock, proklamiert auch die Europäische Kommission einen «Frieden durch Stärke». Zu dem jetzt vorgelegten, selbstzerstörerischen Fahrplan zur Ankurbelung der Rüstungsindustrie, genannt «Weißbuch zur europäischen Verteidigung – Bereitschaft 2030», erklärte die Kommissionspräsidentin, die «Ära der Friedensdividende» sei längst vorbei. Soll das heißen, Frieden bringt nichts ein? Eine umfassende Zusammenarbeit an dauerhaften europäischen Friedenslösungen steht demnach jedenfalls nicht zur Debatte.

Zusätzlich brisant ist, dass aktuell «die ganze EU von Deutschen regiert wird», wie der EU-Parlamentarier und ehemalige UN-Diplomat Michael von der Schulenburg beobachtet hat. Tatsächlich sitzen neben von der Leyen und Strack-Zimmermann noch einige weitere Deutsche in – vor allem auch in Krisenzeiten – wichtigen Spitzenposten der Union. Vor dem Hintergrund der Kriegstreiberei in Deutschland muss eine solche Dominanz mindestens nachdenklich stimmen.

Ihre ursprünglichen Grundwerte wie Demokratie, Freiheit, Frieden und Völkerverständigung hat die EU kontinuierlich in leere Worthülsen verwandelt. Diese werden dafür immer lächerlicher hochgehalten und beschworen.

Es wird dringend Zeit, dass wir, der Souverän, diesem erbärmlichen und gefährlichen Trauerspiel ein Ende setzen und die Fäden selbst in die Hand nehmen. In diesem Sinne fordert uns auch das «European Peace Project» auf, am 9. Mai im Rahmen eines Kunstprojekts den Frieden auszurufen. Seien wir dabei!

[Titelbild: Pixabay]

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Dieser Beitrag wurde mit dem Pareto-Client geschrieben und ist zuerst auf Transition News erschienen.

@ 3bf0c63f:aefa459d

Nostr: a quick introduction, attempt #2

Nostr doesn't subscribe to any ideals of "free speech" as these belong to the realm of politics and assume a big powerful government that enforces a common ruleupon everybody else.

Nostr instead is much simpler, it simply says that servers are private property and establishes a generalized framework for people to connect to all these servers, creating a true free market in the process. In other words, Nostr is the public road that each market participant can use to build their own store or visit others and use their services.

(Of course a road is never truly public, in normal cases it's ran by the government, in this case it relies upon the previous existence of the internet with all its quirks and chaos plus a hand of government control, but none of that matters for this explanation).

More concretely speaking, Nostr is just a set of definitions of the formats of the data that can be passed between participants and their expected order, i.e. messages between clients (i.e. the program that runs on a user computer) and relays (i.e. the program that runs on a publicly accessible computer, a "server", generally with a domain-name associated) over a type of TCP connection (WebSocket) with cryptographic signatures. This is what is called a "protocol" in this context, and upon that simple base multiple kinds of sub-protocols can be added, like a protocol for "public-square style microblogging", "semi-closed group chat" or, I don't know, "recipe sharing and feedback".

@ e39bf33e:82567570

13WIN là một nền tảng giải trí trực tuyến nổi bật, mang đến cho người dùng những trải nghiệm tuyệt vời nhờ vào giao diện dễ sử dụng và tốc độ hoạt động mượt mà. Được thiết kế để đáp ứng nhu cầu giải trí của nhiều đối tượng người dùng, 13WIN không chỉ cung cấp các dịch vụ cơ bản mà còn tích hợp nhiều tính năng vượt trội, giúp người dùng có thể tận hưởng một cách tối đa các dịch vụ giải trí trên nền tảng. Giao diện của 13WIN được tối ưu hóa để mang lại sự thân thiện và dễ dàng trong việc tìm kiếm và sử dụng các tính năng. Người dùng có thể dễ dàng truy cập vào các dịch vụ giải trí yêu thích chỉ với vài cú nhấp chuột. Với sự cải tiến liên tục, 13WIN luôn tìm cách nâng cao trải nghiệm của người dùng, cập nhật các tính năng mới và tối ưu hóa mọi quy trình để người dùng có thể trải nghiệm dịch vụ một cách hoàn hảo. Dù bạn là người mới hay đã quen thuộc với nền tảng, bạn vẫn có thể dễ dàng làm quen và tận hưởng dịch vụ của 13WIN một cách nhanh chóng và hiệu quả.

Điều đáng chú ý ở 13WIN chính là hệ thống bảo mật được đầu tư mạnh mẽ, giúp người dùng yên tâm tuyệt đối khi sử dụng nền tảng này. 13WIN sử dụng công nghệ mã hóa SSL 128-bit, một trong những phương pháp bảo mật tiên tiến nhất hiện nay, giúp bảo vệ mọi thông tin cá nhân và các giao dịch của người dùng. Tất cả các giao dịch và dữ liệu của người dùng đều được mã hóa và bảo vệ an toàn tuyệt đối, tránh khỏi sự xâm nhập của các bên không mong muốn. Bên cạnh đó, 13WIN còn triển khai các biện pháp bảo vệ bổ sung như xác thực hai yếu tố (2FA), giúp nâng cao thêm mức độ bảo mật và an toàn cho tài khoản người dùng. Những biện pháp bảo mật này giúp người dùng cảm thấy hoàn toàn yên tâm khi sử dụng dịch vụ trên nền tảng, bảo vệ thông tin cá nhân và tài khoản của người dùng khỏi các nguy cơ xâm nhập hay lừa đảo. Chính sự cam kết về bảo mật và sự bảo vệ tối đa quyền lợi người dùng đã giúp 13WIN xây dựng được lòng tin từ phía người sử dụng và trở thành lựa chọn hàng đầu của nhiều người.

Bên cạnh sự chú trọng đến bảo mật, dịch vụ khách hàng của 13WIN cũng là một yếu tố quan trọng giúp nền tảng này chiếm được sự yêu mến của người dùng. Đội ngũ chăm sóc khách hàng của 13WIN luôn sẵn sàng hỗ trợ 24/7, đảm bảo rằng mọi thắc mắc và yêu cầu của người dùng sẽ được giải quyết nhanh chóng và hiệu quả. Dù là vấn đề về tài khoản hay các câu hỏi liên quan đến tính năng của nền tảng, người dùng đều có thể dễ dàng liên hệ và nhận sự hỗ trợ tận tình từ đội ngũ nhân viên chuyên nghiệp của 13WIN. Điều này không chỉ giúp người dùng cảm thấy yên tâm hơn khi tham gia mà còn nâng cao trải nghiệm sử dụng dịch vụ. Bên cạnh đó, 13WIN cũng thường xuyên tổ chức các chương trình khuyến mãi hấp dẫn, tạo cơ hội cho người dùng nhận các phần quà đặc biệt và các ưu đãi thú vị. Các chương trình này được thiết kế linh hoạt và đáp ứng nhu cầu của từng đối tượng người dùng, từ những người mới bắt đầu cho đến những khách hàng trung thành. Với tất cả những ưu điểm này, 13WIN không chỉ là một nền tảng giải trí trực tuyến mà còn là một địa chỉ đáng tin cậy cho những ai đang tìm kiếm một dịch vụ chất lượng và an toàn.

@ c1e9ab3a:9cb56b43

Introduction: The Power of Fiction and the Shaping of Collective Morality

Stories define the moral landscape of a civilization. From the earliest mythologies to the modern spectacle of global cinema, the tales a society tells its youth shape the parameters of acceptable behavior, the cost of transgression, and the meaning of justice, power, and redemption. Among the most globally influential narratives of the past half-century is the Star Wars saga, a sprawling science fiction mythology that has transcended genre to become a cultural religion for many. Central to this mythos is the arc of Anakin Skywalker, the fallen Jedi Knight who becomes Darth Vader. In Star Wars: Episode III – Revenge of the Sith, Anakin commits what is arguably the most morally abhorrent act depicted in mainstream popular cinema: the mass murder of children. And yet, by the end of the saga, he is redeemed.

This chapter introduces the uninitiated to the events surrounding this narrative turn and explores the deep structural and ethical concerns it raises. We argue that the cultural treatment of Darth Vader as an anti-hero, even a role model, reveals a deep perversion in the collective moral grammar of the modern West. In doing so, we consider the implications this mythology may have on young adults navigating identity, masculinity, and agency in a world increasingly shaped by spectacle and symbolic narrative.

Part I: The Scene and Its Context

In Revenge of the Sith (2005), the third episode of the Star Wars prequel trilogy, the protagonist Anakin Skywalker succumbs to fear, ambition, and manipulation. Convinced that the Jedi Council is plotting against the Republic and desperate to save his pregnant wife from a vision of death, Anakin pledges allegiance to Chancellor Palpatine, secretly the Sith Lord Darth Sidious. Upon doing so, he is given a new name—Darth Vader—and tasked with a critical mission: to eliminate all Jedi in the temple, including its youngest members.

In one of the most harrowing scenes in the film, Anakin enters the Jedi Temple. A group of young children, known as "younglings," emerge from hiding and plead for help. One steps forward, calling him "Master Skywalker," and asks what they are to do. Anakin responds by igniting his lightsaber. The screen cuts away, but the implication is unambiguous. Later, it is confirmed through dialogue and visual allusion that he slaughtered them all.

There is no ambiguity in the storytelling. The man who will become the galaxy’s most feared enforcer begins his descent by murdering defenseless children.

Part II: A New Kind of Evil in Youth-Oriented Media

For decades, cinema avoided certain taboos. Even films depicting war, genocide, or psychological horror rarely crossed the line into showing children as victims of deliberate violence by the protagonist. When children were harmed, it was by monstrous antagonists, supernatural forces, or offscreen implications. The killing of children was culturally reserved for historical atrocities and horror tales.

In Revenge of the Sith, this boundary was broken. While the film does not show the violence explicitly, the implication is so clear and so central to the character arc that its omission from visual depiction does not blunt the narrative weight. What makes this scene especially jarring is the tonal dissonance between the gravity of the act and the broader cultural treatment of Star Wars as a family-friendly saga. The juxtaposition of child-targeted marketing with a central plot involving child murder is not accidental—it reflects a deeper narrative and commercial structure.

This scene was not a deviation from the arc. It was the intended turning point.

Part III: Masculinity, Militarism, and the Appeal of the Anti-Hero

Darth Vader has long been idolized as a masculine icon. His towering presence, emotionless control, and mechanical voice exude power and discipline. Military institutions have quoted him. He is celebrated in memes, posters, and merchandise. Within the cultural imagination, he embodies dominance, command, and strategic ruthlessness.

For many young men, particularly those struggling with identity, agency, and perceived weakness, Vader becomes more than a character. He becomes an archetype: the man who reclaims power by embracing discipline, forsaking emotion, and exacting vengeance against those who betrayed him. The emotional pain that leads to his fall mirrors the experiences of isolation and perceived emasculation that many young men internalize in a fractured society.

The symbolism becomes dangerous. Anakin's descent into mass murder is portrayed not as the outcome of unchecked cruelty, but as a tragic mistake rooted in love and desperation. The implication is that under enough pressure, even the most horrific act can be framed as a step toward a noble end.

Part IV: Redemption as Narrative Alchemy

By the end of the original trilogy (Return of the Jedi, 1983), Darth Vader kills the Emperor to save his son Luke and dies shortly thereafter. Luke mourns him, honors him, and burns his body in reverence. In the final scene, Vader's ghost appears alongside Obi-Wan Kenobi and Yoda—the very men who once considered him the greatest betrayal of their order. He is welcomed back.

There is no reckoning. No mention of the younglings. No memorial to the dead. No consequence beyond his own internal torment.

This model of redemption is not uncommon in Western storytelling. In Christian doctrine, the concept of grace allows for any sin to be forgiven if the sinner repents sincerely. But in the context of secular mass culture, such redemption without justice becomes deeply troubling. The cultural message is clear: even the worst crimes can be erased if one makes a grand enough gesture at the end. It is the erasure of moral debt by narrative fiat.

The implication is not only that evil can be undone by good, but that power and legacy matter more than the victims. Vader is not just forgiven—he is exalted.

Part V: Real-World Reflections and Dangerous Scripts

In recent decades, the rise of mass violence in schools and public places has revealed a disturbing pattern: young men who feel alienated, betrayed, or powerless adopt mythic narratives of vengeance and transformation. They often see themselves as tragic figures forced into violence by a cruel world. Some explicitly reference pop culture, quoting films, invoking fictional characters, or modeling their identities after cinematic anti-heroes.

It would be reductive to claim Star Wars causes such events. But it is equally naive to believe that such narratives play no role in shaping the symbolic frameworks through which vulnerable individuals understand their lives. The story of Anakin Skywalker offers a dangerous script:

• You are betrayed.
• You suffer.
• You kill.
• You become powerful.
• You are redeemed.

When combined with militarized masculinity, institutional failure, and cultural nihilism, this script can validate the darkest impulses. It becomes a myth of sacrificial violence, with the perpetrator as misunderstood hero.

Part VI: Cultural Responsibility and Narrative Ethics

The problem is not that Star Wars tells a tragic story. Tragedy is essential to moral understanding. The problem is how the culture treats that story. Darth Vader is not treated as a warning, a cautionary tale, or a fallen angel. He is merchandised, celebrated, and decontextualized.

By separating his image from his actions, society rebrands him as a figure of cool dominance rather than ethical failure. The younglings are forgotten. The victims vanish. Only the redemption remains. The merchandise continues to sell.

Cultural institutions bear responsibility for how such narratives are presented and consumed. Filmmakers may intend nuance, but marketing departments, military institutions, and fan cultures often reduce that nuance to symbol and slogan.

Conclusion: Reckoning with the Stories We Tell

The story of Anakin Skywalker is not morally neutral. It is a tale of systemic failure, emotional collapse, and unchecked violence. When presented in full, it can serve as a powerful warning. But when reduced to aesthetic dominance and easy redemption, it becomes a tool of moral decay.

The glorification of Darth Vader as a cultural icon—divorced from the horrific acts that define his transformation—is not just misguided. It is dangerous. It trains a generation to believe that power erases guilt, that violence is a path to recognition, and that final acts of loyalty can overwrite the deliberate murder of the innocent.

To the uninitiated, Star Wars may seem like harmless fantasy. But its deepest myth—the redemption of the child-killer through familial love and posthumous honor—deserves scrutiny. Not because fiction causes violence, but because fiction defines the possibilities of how we understand evil, forgiveness, and what it means to be a hero.

We must ask: What kind of redemption erases the cries of murdered children? And what kind of culture finds peace in that forgetting?

@ a367f9eb:0633efea

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Last week, an investigation by Reuters revealed that Chinese researchers have been using open-source AI tools to build nefarious-sounding models that may have some military application.

The reporting purports that adversaries in the Chinese Communist Party and its military wing are taking advantage of the liberal software licensing of American innovations in the AI space, which could someday have capabilities to presumably harm the United States.

In a June paper reviewed by Reuters, six Chinese researchers from three institutions, including two under the People’s Liberation Army’s (PLA) leading research body, the Academy of Military Science (AMS), detailed how they had used an early version of Meta’s Llama as a base for what it calls “ChatBIT”.

The researchers used an earlier Llama 13B large language model (LLM) from Meta, incorporating their own parameters to construct a military-focused AI tool to gather and process intelligence, and offer accurate and reliable information for operational decision-making.

While I’m doubtful that today’s existing chatbot-like tools will be the ultimate battlefield for a new geopolitical war (queue up the computer-simulated war from the Star Trek episode “A Taste of Armageddon“), this recent exposé requires us to revisit why large language models are released as open-source code in the first place.

Added to that, should it matter that an adversary is having a poke around and may ultimately use them for some purpose we may not like, whether that be China, Russia, North Korea, or Iran?

The number of open-source AI LLMs continues to grow each day, with projects like Vicuna, LLaMA, BLOOMB, Falcon, and Mistral available for download. In fact, there are over one million open-source LLMs available as of writing this post. With some decent hardware, every global citizen can download these codebases and run them on their computer.

With regard to this specific story, we could assume it to be a selective leak by a competitor of Meta which created the LLaMA model, intended to harm its reputation among those with cybersecurity and national security credentials. There are potentially trillions of dollars on the line.

Or it could be the revelation of something more sinister happening in the military-sponsored labs of Chinese hackers who have already been caught attacking American infrastructure, data, and yes, your credit history?

As consumer advocates who believe in the necessity of liberal democracies to safeguard our liberties against authoritarianism, we should absolutely remain skeptical when it comes to the communist regime in Beijing. We’ve written as much many times.

At the same time, however, we should not subrogate our own critical thinking and principles because it suits a convenient narrative.

Consumers of all stripes deserve technological freedom, and innovators should be free to provide that to us. And open-source software has provided the very foundations for all of this.

Open-source matters

When we discuss open-source software and code, what we’re really talking about is the ability for people other than the creators to use it.

The various licensing schemes – ranging from GNU General Public License (GPL) to the MIT License and various public domain classifications – determine whether other people can use the code, edit it to their liking, and run it on their machine. Some licenses even allow you to monetize the modifications you’ve made.

While many different types of software will be fully licensed and made proprietary, restricting or even penalizing those who attempt to use it on their own, many developers have created software intended to be released to the public. This allows multiple contributors to add to the codebase and to make changes to improve it for public benefit.

Open-source software matters because anyone, anywhere can download and run the code on their own. They can also modify it, edit it, and tailor it to their specific need. The code is intended to be shared and built upon not because of some altruistic belief, but rather to make it accessible for everyone and create a broad base. This is how we create standards for technologies that provide the ground floor for further tinkering to deliver value to consumers.

Open-source libraries create the building blocks that decrease the hassle and cost of building a new web platform, smartphone, or even a computer language. They distribute common code that can be built upon, assuring interoperability and setting standards for all of our devices and technologies to talk to each other.

I am myself a proponent of open-source software. The server I run in my home has dozens of dockerized applications sourced directly from open-source contributors on GitHub and DockerHub. When there are versions or adaptations that I don’t like, I can pick and choose which I prefer. I can even make comments or add edits if I’ve found a better way for them to run.

Whether you know it or not, many of you run the Linux operating system as the base for your Macbook or any other computer and use all kinds of web tools that have active repositories forked or modified by open-source contributors online. This code is auditable by everyone and can be scrutinized or reviewed by whoever wants to (even AI bots).

This is the same software that runs your airlines, powers the farms that deliver your food, and supports the entire global monetary system. The code of the first decentralized cryptocurrency Bitcoin is also open-source, which has allowed thousands of copycat protocols that have revolutionized how we view money.

You know what else is open-source and available for everyone to use, modify, and build upon?

PHP, Mozilla Firefox, LibreOffice, MySQL, Python, Git, Docker, and WordPress. All protocols and languages that power the web. Friend or foe alike, anyone can download these pieces of software and run them how they see fit.

Open-source code is speech, and it is knowledge.

We build upon it to make information and technology accessible. Attempts to curb open-source, therefore, amount to restricting speech and knowledge.

Open-source is for your friends, and enemies

In the context of Artificial Intelligence, many different developers and companies have chosen to take their large language models and make them available via an open-source license.

At this very moment, you can click on over to Hugging Face, download an AI model, and build a chatbot or scripting machine suited to your needs. All for free (as long as you have the power and bandwidth).

Thousands of companies in the AI sector are doing this at this very moment, discovering ways of building on top of open-source models to develop new apps, tools, and services to offer to companies and individuals. It’s how many different applications are coming to life and thousands more jobs are being created.

We know this can be useful to friends, but what about enemies?

As the AI wars heat up between liberal democracies like the US, the UK, and (sluggishly) the European Union, we know that authoritarian adversaries like the CCP and Russia are building their own applications.

The fear that China will use open-source US models to create some kind of military application is a clear and present danger for many political and national security researchers, as well as politicians.

A bipartisan group of US House lawmakers want to put export controls on AI models, as well as block foreign access to US cloud servers that may be hosting AI software.

If this seems familiar, we should also remember that the US government once classified cryptography and encryption as “munitions” that could not be exported to other countries (see The Crypto Wars). Many of the arguments we hear today were invoked by some of the same people as back then.

Now, encryption protocols are the gold standard for many different banking and web services, messaging, and all kinds of electronic communication. We expect our friends to use it, and our foes as well. Because code is knowledge and speech, we know how to evaluate it and respond if we need to.

Regardless of who uses open-source AI, this is how we should view it today. These are merely tools that people will use for good or ill. It’s up to governments to determine how best to stop illiberal or nefarious uses that harm us, rather than try to outlaw or restrict building of free and open software in the first place.

Limiting open-source threatens our own advancement

If we set out to restrict and limit our ability to create and share open-source code, no matter who uses it, that would be tantamount to imposing censorship. There must be another way.

If there is a “Hundred Year Marathon” between the United States and liberal democracies on one side and autocracies like the Chinese Communist Party on the other, this is not something that will be won or lost based on software licenses. We need as much competition as possible.

The Chinese military has been building up its capabilities with trillions of dollars’ worth of investments that span far beyond AI chatbots and skip logic protocols.

The theft of intellectual property at factories in Shenzhen, or in US courts by third-party litigation funding coming from China, is very real and will have serious economic consequences. It may even change the balance of power if our economies and countries turn to war footing.

But these are separate issues from the ability of free people to create and share open-source code which we can all benefit from. In fact, if we want to continue our way our life and continue to add to global productivity and growth, it’s demanded that we defend open-source.

If liberal democracies want to compete with our global adversaries, it will not be done by reducing the freedoms of citizens in our own countries.

Originally published on the website of the Consumer Choice Center.