AItonomy Foundation

I’m incredibly proud to share what we’ve been building at the AItonomy Foundation: Science’s Last Exam (SLE). 🧪✨

Can AI do science? Instead of Q&A, we give agents actual research goals and real-world tools (lab data, software), then grade them against hidden expert checks.

Deeply grateful to the brilliant minds at 34 institutions (Harvard, MIT, Stanford, etc.) who helped craft 113 tasks across 9 disciplines. ❤️

The results? Science is hard. Of 8 frontier models, the best scored 37.5/100. On true end-to-end research? All scored 0. We have an exciting journey ahead! 🚀
(Claude Opus 5.5 & GPT-6 Astra coming soon—just clearing bio safeguards).

Everything opens Nov 6. 🗓️
🌐 sciences-last-exam.org
💻 github.com/Gen-Verse/Scie…
🤗 huggingface.co/datasets/Gen-V…

Thread below on how the exam works and where models break. 👇 (1/14)
#AGI #AIforScience #AIAgents #SciencesLastExam #OpenAI #Anthropic

On Monday, we hosted a private salon at Stanford titled "Towards Personal AGI." We were honored to welcome:
-Travis Oliphant @teoliphant, Founder of NumPy, SciPy, and Anaconda
-researchers from Columbia University’s Data Agent Process Lab @Zeming_Liang & @Yuting_Deng
-researchers from MIT, Microsoft, and Harvard @YuexingHao & @XiaominLi98 @MatrAIx2026
-researchers from UCSD @Ruiyi_Zhang

Our other guests hailed from academia—including Stanford, UC Berkeley, MIT, Harvard, Princeton, Caltech, Columbia, Oxford, and Yale—as well as the industry, representing organizations such as Anthropic, OpenAI, DeepMind, Meta MSL, Amazon AGI, Nvidia, Tesla, Apple, Microsoft Superintelligence, Together AI, ByteDance, AMD, and Samsung.

We are deeply grateful for everyone's support. We are also seeking additional collaborators for our project: aitonomy.org/projects/sci-a…. Welcome to join us in building open-source infrastructure for AI for Science!

Announcing AItonomy Foundation.

We are PhD students and postdocs at Stanford, Princeton and Oxford, building a nonprofit research organization for AI4Science and Science4AI — and connecting early-career scientists across the world to work on it together.

Our conviction is simple. AI advances science, and science advances AI. Neither direction moves as fast as it should, because the open infrastructure both sides depend on — the benchmarks, the verifiers, the record of what is genuinely unsolved — does not yet exist. We are building it in the open, and giving it away.

Two projects are launching today.

ScienceAccelBench — scientific code, accelerated by AI and verified against the original code's own output. The faster code goes back to the lab that contributed it. aitonomy.org/projects/sci-a…

ScienceMysteryBench — a finished discovery, rewound to the raw data it came from, and handed to an AI to attempt again. Eight scientific domains, one question each. aitonomy.org/projects/scien…

We are looking for people to build this with.

Researchers — join a project. We provide the AI credits and the GPU time; you bring the science. Contributions are credited by name, and lead to a paper on a short timeline.

Frontier labs — we would like to work with you. Tell us what evaluations you need, and consider supporting the work with API credits.

Sponsors — compute and API credits are what we need most. Everything we build stays open, free, and behind no paywall.

Everyone else — a repost genuinely helps us reach the scientists we are looking for.

aitonomy.org