prack.algo @_Prack_

🚨 IMPRESIONADO EL PERIODISTA PRO IRANÍ @jacksonhinkle por la Aldea Global de la FIFA en la CDMX En donde muestra cómo la exhibición de Irán es la primera y la que tiene más gente Mexicana tomandose fotos con la bandera de los Persas y disfrutando su cultura. Un honor estar del lado correcto de la historia...

The founder of zAI, the company that released GLM-5.2, says a Mythos-class model will be released before Q1 2027. Or in other words: He believes that open source won't lag behind Frontier Labs by seven months, but will catch up. It could get really interesting!

jietang @jietang

2 days ago

@elonmusk @teortaxesTex won’t take that long

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Important G7 session on AI. AI is developing exponentially. It is the most important technology of our time. It comes with immense potential, but also risks for free, democratic societies. I believe Europe and the US should work together on AI. Together, we represent 70% of the world market. We have complementary strengths, shared security interests, and a common responsibility to lead. So we should deepen our cooperation. Invest together. Accelerate adoption everywhere, from industry to healthcare. And ensure that the most powerful models are trustworthy and safe.

We are entering a new era of the Cold War. Dario Amodei and Demis Hassabis are calling for a "U.S.-led coalition to shape rules and standards around artificial intelligence," excluding China. "Dario Amodei also said in his address that the coalition should structure access to frontier models and hardware - including both chips and other critical components - in a way that excludes China." The new Cold War will be a high-tech one in which the competition will be fundamentally excluded from all participation and involvement, because the technology affects national security and strategy.

Andrew Curran @AndrewCurran_

3 days ago

Dario Amodei and Demis Hassabis called for a US-led coalition to determine the global standards and rules for AI in a closed-door meeting this morning at the G7. Dario Amodei also said in his address that the coalition should structure access to frontier models and hardware -

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Anthropic CEO Dario Amodei says his message was never "doom is coming." The real concern is that AI first makes workers more productive, then starts doing entire parts of the job by itself. That shift is already visible inside software teams. "Productivity is the first phase. Substitution is the second."

Trump and the AI ​​CEOs are currently meeting. Judging by his facial expression, Sam seems to be enjoying himself more than Dario.

No studio budget? No problem. 🎬 ✨ Turn slides into videos with a digital presenter 🌍 Direct avatars & voiceovers in 24 languages 🎥 Build instant product demos with branded avatars 🌟 Starting today, anyone can try AI avatars at no cost. Start creating → vids.new

Grok Imagine 1.5 is now in wide release

xAI @xai

3 days ago

Grok Imagine Video 1.5 is here Our new image-to-video model with sharper realism, better physics and faster generations 🧵 grok.com/imagine

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Claude Fable 5 has been out for a couple of days. Some projects people have already built with it:

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance. Access to all other Claude models is not affected. We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible. Read our full statement: anthropic.com/news/fable-myt…

The last 2 weeks in AI have been the most absurd stretch in tech history. I can’t even keep up. And this is literally what I do for a living. → Anthropic launched Claude Fable 5, its most powerful model ever made public. State of the art on nearly every benchmark. Scored 10%+ higher than Opus 4.8. → Three days later the U.S. government ordered Anthropic to shut it down for everyone. Export control directive. National security. Gone. → A model used by millions on Monday was disabled by Friday night. First time in history a government has pulled a live frontier model. → Anthropic filed for IPO at a $965 billion valuation. $47 billion annualized revenue. → OpenAI filed its own confidential IPO paperwork with the SEC days later. → SpaceX went public yesterday. Largest IPO in history. $1.77 trillion valuation. Ticker: SPCX. → Elon Musk became the world’s first trillionaire. Worth more than the next four richest people combined. → Apple held Tim Cook’s final WWDC keynote. He’s stepping down as CEO in September. → Apple rebuilt Siri from the ground up. Powered by a custom 1.2 trillion parameter Gemini model. Licensed from Google at $1 billion per year. → iOS 27 lets users choose which AI chatbot runs their phone. Claude, Gemini, ChatGPT. You pick. → ChatGPT crossed 1 billion monthly users. Fastest app in history to hit that number. → Visa embedded its payment network directly inside ChatGPT. AI agents can now shop and complete transactions on your behalf. → Microsoft launched MAI models at Build 2026. First AI models built entirely in-house without OpenAI. Microsoft is building its own stack. → NVIDIA unveiled RTX Spark at Computex. 1 petaflop of AI performance on a laptop chip. 120 billion parameter models running locally. No cloud needed. → Anthropic published a paper called “When AI Builds Itself” warning AI systems may soon achieve recursive self-improvement. Then released their most powerful model 5 days later. → A 269-page federal AI bill dropped. The Great American AI Act. Most comprehensive AI regulation ever proposed in the U.S. → Trump and Bernie Sanders both publicly discussed partial government ownership of AI companies. In the same week. → Goldman Sachs and JPMorgan are building derivatives markets to trade the cost of GPU computing power. → Global AI spending forecast to hit $2.59 trillion in 2026. 47% jump over last year. Three IPOs worth over $4 trillion combined. A frontier model launched and killed within 72 hours. The first trillionaire in human history. AI agents making purchases with your credit card. And we’re not even halfway through June.

Quick TLDR about the anthropic situation : - Anthropic released 3 days ago a model that they qualified as too dangerous for the public to have access with STRONG guardrails that made it safe - Someone was able to jailbreak it ( amazon?) - this reached goverment that decided if it was that easy to jailbreak, then its still not safe and told anthropic to ban it for any non national american - anthropic decided if they where going to ban the model then it would be for everyone. - anthropic considers this a missunbderstanding as they think what the jailbreakers achieved was making the Fable 5 do things that chatGPT can do aswell, so making it as safe or unsafe as other actual models.

Google DeepMind published a 60-page paper mapping the road from AGI to superintelligence, written by Hutter, Legg, and Genewein. No hype, just a sober analysis The paper uses three levels. AGI = roughly average human performance across most cognitive tasks. ASI = a system that beats large, well-coordinated groups of human experts across virtually everything (their bar: tens of thousands of experts working ten years on one problem). Universal AI / AIXI = the theoretical ceiling, uncomputable, only approachable from below. Then they explore the question of how this could be achieved: Scaling compute, models, and data, the continuation of the trend that drove the breakthrough so far. It is the only path with historical data available for extrapolation. The core question: Does quantity transform into quality? Even if individual models plateau, the sheer act of running millions of faster AGI instances could trigger the leap. (A quick aside: that is a fascinating philosophical idea. It always reminds me of Hegel’s dialectic, the notion that quantity transforms into quality. We ought to start drawing on philosophical theories to make sense of the future.) Algorithmic paradigm shifts: a genuine break from the transformer pretraining paradigm. New architectures, new learning methods. However, hard to predict by definition. Recursive self-improvement: AI accelerates AI research, which produces better AI, which accelerates research further. Multi-agent coordination: superintelligence emerges from large collectives of AGI agents working together, like automated corporations or AI economies. Collective intelligence potentially far exceeding any individual model. The authors naturally point to what I repeatedly describe as the biggest bottleneck: energy. I recently linked to a few graphs showing, on the one hand, the extent to which energy is already becoming a problem and, on the other, how China dominates the expansion of both nuclear and solar energy in the global race. But the authors also address a profound shift in the world of work in a post-AGI era. I would say this is a reality we must face. So, it is not just about scaling, but also about whether the underlying conditions - such as energy and hardware - can be effectively established. Six things that could slow or stop all of this: The data wall. Quality training data runs out, possibly before the end of this decade. Resource demand grows too fast. Energy, chips, rare earths, investment. The physical infrastructure can't scale arbitrarily. The neural paradigm hits a ceiling. Pretrained transformers plus fine-tuning may not be enough to reach AGI, let alone go beyond it. Research gets harder. Keeping Moore's law going already needs 18x more researchers than in the 1970s. Ideas are genuinely harder to find as fields mature. The abstraction barrier. Models trained on human concepts may never invent new ones from scratch. Saturating GPQA or SWE-bench shows mastery of what humans already worked out, not the ability to go beyond it. Train only on pre-Newtonian physics and you won't reason your way to relativity. Deliberate slowdown. Regulation, accidents, public backlash. Real, but likely countered by the competitive pressure between companies and nations. I think it’s great that Google is addressing questions such as which paths they believe lead to AGI, what the road to ASI might look like, what challenges will arise, and much more. Overall, however, it sounds to me like all of this could actually succeed, making it, in that sense, a call to discuss and reflect on the consequences.

Olinia El auto perfecto 👌 para México. Próximamente ya este 2027

🚨 ÚLTIMA HORA 🚨 Mythos ya disponible (Fable 5) esto es una locura... Accede al vídeo: youtu.be/hTE0LVIdnYo 🔥 Ha llegado Mythos para el gran público de la mano de Anthropic. En este vídeo vemos Claude Fable 5 y Mythos 5, dos modelos que abren una nueva fase donde quizá ya no solo vamos a pedir tareas, sino a dar responsabilidades. Probamos Fable creando un videojuego, generando informes complejos y repasamos sus benchmarks, sus límites de seguridad y la gran duda: qué pasa si alguien consigue saltarse esos guardarraíles.

It's already June 9th, and Gemini 3.5 Pro and GPT-5.6 are nearing release (Google even already announced 3.5 Pro during i/o) Rumor has it that GPT-5.6 will be released as early as next week. So far, it's safe to say that - guardrails aside - Anthropic is truly the frontier lab that's entering a new league with Mythos/Fable. Gemini 3.5 Pro and GPT-5.6 have a lot to deliver and are now under pressure. This release has certainly boosted Anthropic's upcoming IPO. Anthropic has proven that they are still capable of making significant leaps in performance and efficiency. There's no end in sight. But the pressure on the competition is mounting. And remember that Claude Mythos was (and probably is) still leader in Long Horizon software Tasks

Chubby♨️ @kimmonismus

2 weeks ago

Claude 5 Fable tl;dr - It is state-of-the-art on nearly all tested benchmarks of AI capability, showing exceptional performance in software engineering, knowledge work, vision, scientific research -The longer and more complex the task, the larger Fable 5’s lead over our other

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Next week(s) is going to be absolutely insane. We're seeing so much testing of the Claude Mythos derivative, because it's been given to red team members, that a release is really imminent. According to all the rumors, GPT-5.6 is also coming very soon, and I'm pretty sure OpenAI and Anthropic are trying to outdo each other. And then there's Google with Gemini 3.5 Pro, which was announced at I/O as being released in early June. So, in all likelihood, next week will see a quantum leap. Get ready, friends.

Ok, it’s probably about time we changed the game. Stay tuned 👀

You can now create and edit images directly in Gemini Live. Whether testing out room decor, getting help with math, or creating shareable memes, it all happens in real-time. Just open the Gemini app, tap the Live button, share your camera, and tell Gemini what you want to see.

OpenAI just wrote: "We also see early signs of recursive self-improvement (RSI) in today’s systems: where AI development is itself accelerated by AI. We expect this to increase competitive pressures among developers and nations, and create governance challenges that existing institutions are not equipped to address. As RSI emerges, societies will need ways to shape the trajectory of AI development and ensure that it serves human interests." The vibe has changed, something is happening.

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