Sakana AI just had its automated research system, The AI Scientist, published in Nature. The agent autonomously handles everything from ideation and code execution to LaTeX writing, with one AI-generated paper previously passing human blind review at an ICLR 2025 workshop. The team also demonstrated a scientific scaling law: as underlying foundation models advance, paper quality rises in lockstep.
Sakana AI just announced a strategic partnership with Google, alongside fresh funding from the search giant following its Series B round. The Tokyo-based lab plans to integrate Google's Gemini and Gemma models into its scientific discovery and agentic systems, while rolling out secure AI tools for Japan's banking and government sectors. Why it matters: Google gains a direct conduit into Japan's highly regulated industries through the country's leading AI lab.
Sakana AI just announced that a scientific paper fully generated by its upgraded The AI Scientist-v2 passed peer review at an ICLR workshop. Conducted with UBC and Oxford, it marks the first time a completely AI-authored paper cleared the exact same review process human researchers face. Full details of the v2 system will drop soon.
Sakana AI just unveiled The AI Scientist, a fully automated pipeline that handles the entire research lifecycle independently. Starting from a code template, it brainstorms hypotheses, runs experiments, plots figures, writes full LaTeX manuscripts, and even peer-reviews them for about $15 per paper with open-source code on GitHub.
