Anthropic AI model Fable 5 returns

June 12, Anthropic suspended Fable 5 globally. It reappeared in the Android app model selector, with error messages changing from 'model unavailable' to 'server temporarily limiting requests.'

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Throwback Monday: How Old Are You In Crypto?

Do you remember these coins at their ATH?


$ADA was once the 3rd largest crypto (like $XRP) with $101B marketcap, but now it's down -94.90%.


$ICP once the 4th largest crypto with a marketcap around $50B, now it is down -99.10%


$BCH was the 6th largest crypto at $30B, now it's down -88%


$FIL was the 9th largest crypto at $15B marketcap, now it is down -99.81%


All these ALTs have left the top 10 ranking, while some have even fallen below top 20. Other like $POL (previously MATIC) and AVAX used to be in the Top 10 crypto on CMC, but today, they're all below top 20.


What could have gone wrong? Do you still believe they can get back to their all-time highs and even make new highs?#Axelar bridge exploit #Anthropic AI model Fable 5 returns #Altcoins show strong weekly gains #altcoin

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I am stocked to announce that I won the @OpenAIDevs Codex x Mollie Hacka Worldwide Hackathon in Paris. 60+ builders, every one of us working solo, one day to ship. I built mine around a single question: who gets to own intelligence? The default answer is scary. You hand your data to a handful of labs, they train the model, they own it, and you rent back a thin slice of what your own data made possible. That is the bargain on the table today. I do not accept it. So I built Lensemble: a Tapestry like distributed training platform for JEPA based World Models. What does it enable: World Models that a community improves together, keeps sovereign, and co-owns. Two bets sit underneath it. First, the paradigm. Language models predict the next token. Powerful for text, a dead end for the physical world. A robot does not need to autocomplete sentences, it needs to predict what happens next in the world. That is what JEPA does: it learns by predicting representations instead of pixels or tokens. I am convinced world models are the most underrated paradigm in AI right now, and the closest thing we have to a ChatGPT moment for robotics. Second, the politics. Your raw trajectories never leave your machine. Each participant trains locally against a shared protocol and ships only an update, never the data. A federated round folds those updates into one shared world model, a LeWorldModel based model, and the gain is measured, not claimed: a 12k-parameter adapter on a frozen backbone, held-out prediction error down about 12 percent, the model measurably less surprised by the world. Then the upside is split by contribution weight, so the people who improved the model own a share of what it earns. This is the thesis behind Project Tapestry, the AI Alliance and Yann LeCun's push for federated, sovereign frontier AI, carried into world models and robotics. Call it Tapestry for the physical world. All of it built solo, in a single day, with Codex as my pair the whole way. Thank you to OpenAI Codex and Mollie for backing builders who ship real things, and to @borvibe and the organizing crew for the room and the standard you set. Intelligence the world improves, and the world owns. That is the future I want for my kids, and the one I will keep building.

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After the developer of GLM 5.2, Zhipu (02513.HK), released the model, its stock surged 117%! With a market cap of $14 million, it represents only 14–16% of Anthropic’s and OpenAI’s valuations. 🔥 Musk believes that by Q1 next year, Zhipu’s GLM model will match Fable’s capabilities. On June 12, the U.S. government announced export controls prohibiting overseas users from accessing Anthropic’s cutting-edge Fable 5 model. The very next day, Zhipu released GLM 5.2, the world’s top-ranked open-source model, which performs just below Fable 5 across multiple benchmarks—yet costs only one-tenth the average price. Meanwhile, GLM 5.2 achieves excellent levels in openness, model capability, and invocation cost.

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🚨NSA CONFIRMS ANTHROPIC’S MYTHOS AI BROKE INTO ALMOST ALL CLASSIFIED SYSTEMS IN HOURS!!! According to Senate Intelligence Committee Vice Chair Sen. Mark Warner, NSA and Cyber Command leadership revealed that the AI model penetrated nearly every classified network during testing

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Amazon allegedly influenced the U.S. decision to restrict Anthropic’s AI models According to The Wall Street Journal, Amazon reportedly played a role in the Trump administration’s decision to restrict the use of Anthropic’s artificial intelligence models. The publication, citing sources close to the process, noted that Amazon CEO Andy Jassy held discussions with U.S. officials, including Treasury Secretary Scott Bessent. The report states that these efforts occurred amid growing regulatory debate in the United States over the use and control of artificial intelligence, as the government evaluates measures to mitigate technological and national security risks associated with advanced AI systems.

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🚨ANTHROPIC’S NEAR-$1 TRILLION IPO AT RISK!!! According to the WSJ, Wall Street’s AI frenzy is colliding with Washington reality. Anthropic, fresh off a massive private round, now faces Trump administration restrictions over fears its advanced models could spark global cybersecurity chaos. Despite blockbuster IPO excitement, fueled by SpaceX’s recent success, the company’s hopes may depend more on the ballot box and political battles than investor demand this fall.

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In reality, China could dismantle the U.S. economic system using various open-source AI models, since Chinese companies have invested trillions in data centers—and if those systems collapse due to a shift toward localized models, it would be game over.

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BREAKING: Mythos reportedly breached nearly all classified US government systems. According to reports, the NSA confirmed access was gained across almost every classified network. If accurate, this could become one of the most significant cybersecurity failures ever disclosed. A developing story worth watching closely. 👀