🚀 We're one step closer to creating super-intelligent AI biomedical scientists. Biomni is a general-purpose biomedical AI agent equipped with hundreds of specialized tools, software, and databases—designed to tackle the most complex questions in biology. What amazes me most?

Most agents rely on pre-defined tools & hand-crafted workflows. Great in demos, clunky in practice. Alita is game changer: AI agents self-evolve and create their own tools. 🛠️🧠 1/ No predefined static toolkits. Agents build MCP tools via trial & error: ✅ Search open-source

AI risk is real. Paper from Princeton AI Lab shows it’s shockingly easy to jailbreak genome-focused LLMs—opening doors to dangerous misuse. We must build strong safeguards now. Check out our call on Nature Biotech that maps out the AI guardrail technologies needed to mitigate

A grant of nearly $10 million was announced May 28 to fund a Princeton-led effort using AI to develop advanced semiconductors for wireless communication and remote sensing. The effort will be directed by Princeton Engineering prof Kaushik Sengupta Read more: bit.ly/3FoaXt9

LLMs often falter at real scientific reasoning – messy lab problems, ambiguous data, domain quirks. Could LLMs do scientific reasoning and provide expert suggestions in the lab? 🧪🔬 Our new paper shows how – by training LLMs on 10+ years of real CRISPR forum discussions and

🤔 How do you get an LLM to reason like a CRISPR pro—or any top scientist? By training it on real expert conversations. 🛠️ What we built • An automated pipeline that distills learning signals from 10 + years of genomics discussions • Genome-Bench: 3,000 + curated Q&As on

Had a great time at this CVPR community-building workshop---lots of fun discussions and some really important insights for early-career researchers. I also gave a talk on "Research as an Infinite Game." Here are the slides: canva.com/design/DAGp0iR…

Full house at the AI-for-RFIC session at IEEE IMS—standing room only. Huge congrats to Yingqing Guo , our second-year PhD student at Princeton University ECE & Princeton AI Lab Princeton Laboratory for Artificial Intelligence , who won 2nd place Best Paper Award for her work on diffusion-based RF chip design! Coming

World Simulator, reimagined — now alive with humans, robots, and their vibrant society unfolding in 3D real-world geospatial scenes across the globe! 🚀 One day soon, humans and robots will co-exist in the same world. To prepare, we must address: 1️⃣ How can robots cooperate or

Facebook AI Research (FAIR) is a small, prestigious lab in Meta. We don't train large models like GenAI or MSL, so it's natural that we have limited GPUs. GenAI or MSL's success or failure, past or future, doesn't reflect the work of FAIR. It is important to make this distinction

Recent media misreport — about Meta’s AI orgs and (oddly) myself — clarifications: 🧪 FAIR is Meta’s long-term research lab — not GenAI, not MSL 🔍 We do open research with public data, no access to GenAI/MSL infra 😅 I’m not bald ⏳ No complaint — just asking folks to be patient

I'm teaching a new course this fall called "Robot Planning Meets Machine Learning." Half lectures, half seminar. Paper recommendations for the seminar part are welcome. I'm looking for any creative combinations of robot planning and ML.

🚨 Two papers accepted in ICML 2025 🚨 1. MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations 🔗 website: math-perturb.github.io 🔖 paper: arxiv.org/pdf/2502.06453 x.com/KaixuanHuang1/…

Tokenization has been the final barrier to truly end-to-end language models. We developed the H-Net: a hierarchical network that replaces tokenization with a dynamic chunking process directly inside the model, automatically discovering and operating over meaningful units of data

📢 New frontier in AI4Science: What if AI could design novel pathogenic/toxic proteins & molecules? This raises urgent biosecurity questions. We're tackling this head-on at our #NeurIPS2025 Workshop on AI Biosecurity: biosafe-gen-ai.github.io AI foundation models trained on

🚨 Can AI design harmful viruses or toxic molecules? 🚨 🔥 At #NeurIPS2025, we’re launching a new workshop: 🔬 Biosecurity Safeguards for Generative AI Link : biosafe-gen-ai.github.io 🙏 Grateful to our amazing co-organizers and expert advisors! #BioSafeGenAI #AI4Science