Introducing Natura-1, our first general foundation model for the physical world.
It follows natural-language instructions zero-shot and turns them into action with dexterous hands.
Natura-1 is a 50-billion-parameter mixture-of-experts (MoE) model pretrained on one million hours
This semester I am teaching a new course on Agentic Systems, which explores the full stack of AI systems: from building and optimizing agent harnesses to serving and optimizing LLM serving infrastructure.
Students learn by building, measuring, and optimizing real agents and systems, balancing capability, latency, and cost.
Our goal is not just to teach today's AI technologies, but to prepare students to build tomorrow's.
All lectures, readings, and assignments are publicly available at cs2680.seas.harvard.edu
One of my friends is a structural engineer by training and uses Revit daily. I noticed the licensing and costs keep a lot of people from even learning this kind of software, so I decided to build something.
Trestle is a browser-based BIM tool. You describe a change in plain English, review the plan, approve it, and the model verifies its own work. It's still a work in progress, and only my friend uses it until I get it solid enough to open source.
My solo-paper got accepted into NeurIPS 2026 AgenticLS Workshop for a poster presentation!
The paper finds that with a small protein-discovery budget, random audits don’t help, and a simple equal-weight model ensemble works better than adaptive switching.
Next up, Sydney!
Left a recruiting event where everyone talked about molecular dynamics, so I went home and pointed it at neurons.
Introducing NeuroTraj, a Python library that tracks exactly where a protein touches DNA and how long each contact holds. Here, MeCP2 on methylated DNA.
Link below
We’re excited to announce a definitive agreement to acquire @theworldlabs, bringing a world-class team of researchers and model experts to AMD who will help shape future AI infrastructure and strengthen the open AI ecosystem.
More on the news: bit.ly/4xOHT2Q
We look
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