AI News Internationalð
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AI News Internationalð
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ðšAdvancing The State Of Artificial Intelligence


âžïļit seems Anthropic is ready to publicly launch a new version of Mythos, something better than Mythos Preview. a codenamed model âOceanusâ was given access to some red teamers yesterday according to @synthwavedd. itâs apparently been paused already, due to someone reselling access through a Chinese API proxy lmao ð Mythos pricing might also end up at with $16 Input, $80 Output according to @scaling01

Live from our global headquarters: Jamie Dimon and Elon Musk discuss SpaceX and more. x.com/i/broadcasts/1âĶ







I will soon be introducing a bill to give the public a 50% ownership stake in the largest AI companies in America. This would guarantee that the trillions created by AI are used to improve the lives of all of us â and block oligarch decisions that harm the American people.

Building AI that Builds AI: Introducing the Sakana AI RSI Lab ð sakana.ai/rsi-lab Today, we are announcing the Sakana AI Recursive Self-Improvement (RSI) Lab: a dedicated research group in Tokyo tasked with redesigning the AI development process itself using AI. While the industry increasingly speculates about the theoretical potential of self-improving AI, weâve spent the last two years actively laying the foundations to make it a reality: ⊠LLMÂē: AI models automating research to invent better preference optimization algorithms. ⊠Darwin GÃķdel Machine: Agents autonomously rewriting their own codebase to double software-engineering performance. ⊠ShinkaEvolve: Hyper-sample-efficient program evolution that builds novel loss functions for MoE models. ⊠ALE-Agent: Reinforcement agents outperforming hundreds of human experts via self-learning. ⊠Digital Red Queen: Open-ended adversarial coevolution laying the groundwork for RSI in cybersecurity. ⊠The AI Scientist: Towards end-to-end automation of AI research, recently published in Nature. Now, we are unifying these breakthroughs. The Sakana AI RSI Lab is officially tasked with building open-ended, adaptive architectures that collectively self-improve. Human intelligence did not emerge from limitless resources; it was forged through the open-ended, compounding process of evolution operating under strict constraints. We are applying this exact principle to AI. We believe recursive self-improvement is achievable on modest, sample-efficient compute. It shouldnât be a winner-take-all asset locked inside hyperscale clusters, but a democratized public good. Weâre scaling our team to execute this mission. We are looking for frontier scientists and engineers who are entirely unsatisfied with the brute-force status quo. If you are ready to break away from standard benchmarking and build the self-improving future in Japan, come build with us.





Today we're shipping Nemotron 3 Ultra. A 550B MoE frontier-intelligence open model built for long-running agents. It delivers 5x faster inference and lowers the cost of complex agentic tasks by up to 30% versus other open frontier models.








Our internal data shows Claude is accelerating AI developmentâa possible path to recursive self-improvement, or AI autonomously building a more capable successor. Itâs happening faster than we thought, and the implications deserve greater attention. anthropic.com/institute/recuâĶ







