Excited to share a paper I co-authored: Agentic Laboratories of the Future: Towards World Models for Scientific Discovery– joint effort across @Princeton, @Stanford, @Columbia, @nvidia, @MIT, @scale_AI and more. Our argument: the next generation of labs will be agentic, with scientists, AI, and robots as collaborative discovery partners. But the bottleneck isn't better models. It's that no system maintains a shared laboratory world model — a live representation of hypotheses, evidence, uncertainty, and experimental state. Without it, agents produce plans that read well and fail physically. We propose an L0–L5 autonomy ladder for labs, adapted from self-driving vehicles. Most systems today sit at L1–L3, even when marketed as autonomous. And a robust L3 beats a fragile L4 that needs constant rescue. These labs must stay human-led. Agents handle execution and coordination; scientists decide which questions matter. Thanks to project leads @MengdiWang10 (@Princeton) and @lecong (@Stanford) for organizing such a strong community effort to move AI for science forward. Preprint: