May 19 (UTC+8), Prime Intellect open-sourced general-agent, a self-evolving synthetic environment with 4504 tasks and over 8000 unique tools.
$LIT showing serious strength 🚀
Strong breakout from the descending trendline + HTF PoC zones confirmed ✅
If it continues consolidating above this key zone, a fresh rally towards the 80–90% region could be on the cards 📈🔥
Definitely one to keep on the watchlist 👀 $NIL
$ALGO Bullish Setup Loading ✅
Perfect bounce from Bullish Flag support on 12H Chart 📊
If momentum continues and resistance breaks, we may see a solid 40-50%+ rally in the coming days 🚀
This one looks interesting, don’t sleep on it 👀 $KITE
No neural networks were trained at all! A large model writing hand-crafted control rules has broken into industrial fluid dynamics—running the entire strategy for just $14. Weng Jiayi, a former core member of OpenAI’s post-training team, recently demonstrated that “purely using large models to write code can beat Atari games.” Now, researcher Paul Garnier has applied this same approach to the even more demanding domain of fluid dynamics control. He trained no neural networks whatsoever. He simply used Codex 5.5 as a programmer, having it repeatedly revise Python scripts by analyzing fluid simulation videos. With these hand-written control rules alone, the AI outperformed top-tier deep reinforcement learning (DRL) baselines in over half of the fourteen physical test scenarios. From reducing automotive drag to stabilizing pipe turbulence, industry previously relied on brute-force computation to train opaque black-box models that controlled airflow valves. Codex avoided this dead end entirely. The rules it generated were remarkably straightforward—for example: “Delay jetting when local curvature exceeds a threshold.” Dozens of concise lines of code, grounded in physical intuition, replaced neural networks’ mindless trial-and-error. By replacing the black box with executable code, it eliminated the rigidity and fragility inherent in neural networks. Previously, even minor hardware changes—like increasing nozzle count from five to ten—would render the old model useless, forcing costly retraining. Now, simply changing a constant in the code instantly adapts the system to new hardware. When test duration was forcibly extended fourfold, traditional DRL models collapsed outside their training distribution. But the large model’s code, directly grounded in physical laws, remained stable throughout. The entire control strategy was executed using just 21.25 million tokens, costing less than $14 total. #AI #AIAgent
🚀 Andrej Karpathy, co-founder of OpenAI, joins Anthropic This move strengthens the competition for AI talent at a critical juncture for LLMs. Karpathy emphasizes that the coming years will be “especially formative.” He remains committed to education and plans to resume his work in this area. Karpathy’s arrival at Anthropic underscores the company’s ability to attract top talent in the field of AI.
Karpathy just joined Anthropic. AI’s favorite teacher and OpenAI co-founder is back at the frontier. The ex-Tesla AI director who made transformers click for millions is diving into full-time R&D. What it means for the industry: > Anthropic levels up hard with elite talent for safer, stronger models. > Talent war intensifies as top minds pick their battlefield. > Education hits the frontier, bringing clearer breakthroughs for everyone. > The whole race accelerates with faster models and smarter systems incoming. Bottom line: Massive bullish signal for AI. Talent flows where the action is, and the next wave is going to be wild.
The Vatican is set to establish guidelines for AI ⛪️ Pope Leo XIV’s first encyclical will be officially released on May 25. Titled *Magnifica Humanitas* (Magnificent Humanity), the encyclical centers on safeguarding human dignity in the age of artificial intelligence. The document was signed on May 15, marking the 135th anniversary of Pope Leo XIII’s 1891 encyclical *Rerum Novarum*. The release ceremony will take place at the Vatican’s Synod Hall, with Anthropic co-founder Chris Olah joining as a guest speaker. This marks the first time in the 2,000-year history of the Catholic Church that a pope has jointly issued a major document with a leading AI laboratory. The Vatican regards artificial intelligence as a new industrial revolution, and this encyclical is seen as the Church’s formal response.
🚨 Anthropic has acquired Stainless API, the company that built all official integration tools for Claude. ✅ Why does this matter? Because the future of AI is no longer just about “chatbots”—it’s about AI agents that can interact with applications and files. ✅ What does Stainless do? They build systems that enable Claude to easily connect with: • Python • TypeScript • GitHub
