World layer for Physical AI
San Francisco, CA
Joined July 2025
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That’s a wrap on ACTUATE 2026 by @foxglove
Great couple of days sharing what we’re building at @AntimLabs - the world layer for physical AI and meeting incredible folks pushing the frontier in robotics and embodied intelligence.
Antim Labs retweeted
Introducing Gizmo, a simulation-authoring agent that turns text and reference images into structured, editable 3D scenes for robotics workflows.
We're opening the public beta today.
We've been working on making simulation environment creation much less painful for robotics and autonomy teams.
Our goal is simple: spend less time building simulation environments and more time generating data, validating behavior, and deploying robots with confidence.
Check out the public beta!
Last night we hosted the BabyAGI x Physical AI Happy Hour in SF with @yoheinakajima
There was a clear sense of urgency around connecting advanced AI with real-world physical abilities.
We're hosting a BabyAGI x Physical AI Happy Hour with @yoheinakajima on June 30th, 6PM in SF!
If you're building across AI agents, 3D simulations, and Physical AI, join us! Link to sign up below!
🤖 Made with AI
We’ve been exploring how interactive 3D worlds can serve as scalable training environments for embodied agents.
As a first step, we trained a VLM agent to play Elden Ring in real time.
Read about it here:
antimlabs.com/blog/learning-…
Antim Labs retweeted
Simulation is a core part of how we build and evaluate robots.
I spoke about simulation, robotics, and the role of interactive worlds at AI Engineer Singapore this past weekend!
Full talk : youtube.com/watch?v=_xQnSNlB…
Huge shoutout to @SherryYanJiang @unprofeshme @agrimsingh @swyx and the whole organizing team! Definitely the most fun I've had at a conference. Would love to be back next year :)
Antim Labs retweeted
Excited to partner with @hud_evals on their RL environments hackathon!
Come build with us
Antim Labs retweeted
We're launching early access to Gizmo, our automated sim creation tool. From text and/or image inputs, our agent generates SimReady assets and scenes from dimensioned primitives, with correct affordances and articulation.
We are excited to launch VideoGameBench on Antim Labs, created by @a1zhang, Thomas L. Griffiths (@cocosci_lab), @karthik_r_n, and @OfirPress at Princeton.
The gap is clear: models show flashes of vision-driven competence then break on navigation loops, ambiguous controls, pathfinding, or basic drag-and-drop.
We'll keep evaluating frontier models as they are released, and expanding the leaderboards to smaller VLMs with better latency. VGBench is live at antimlabs.com/vgbench.
