AMI's quiet signal: World Models conference co-organizer role
This week's main signal is AMI's public co-organization of a dedicated World Modeling Workshop as the lab is actively shaping the community around it.
The World Modeling Workshop marks AMI's shift from participant to convener
researchRandall Balestriero (who may or may not be working for AMI!) posted this week, announcing that AMI Labs is a named co-organizer of both a 4th World Modeling Workshop (Aspen, February) focused on physics and an inaugural World Modeling Conference (Bay Area, May). These are not peripheral sponsorships — Balestriero's announcement explicitly names @amilabs alongside @ylecun and Lambda API as co-organizers, and the posts generated meaningful engagement (111 likes, 14 retweets on the announcement post). Organising the first standalone conference in this space is a community-positioning move: it signals that AMI sees world modelling not as one research thread among many but as a field-defining bet worth institutionalising.
This is consistent with Li Haoyi's public blog post — announced on X with 262 likes — titled 'Joining AMI to work on World Models,' which reads as both a personal announcement and an implicit recruiting signal. The combination of a high-profile hire announcing his reasons publicly and a co-organized conference suggests AMI is deliberately building gravity around the world-model research program, attracting both talent and community legitimacy at the same time. Although not to burst his bubble, we broke the news of his hiring back in June.
AMI is actively recruiting in 3D vision and geometry, a capability gap the current team doesn't obviously fill
hiringAs we noted last week, the company posted a job listing for Geometry and 3D Vision scientist/interns. Now it's added one specifically for an AMI Scientist. Jihan Yang's high-engagement post (469 likes) soliciting full-time researchers and interns in geometry and 3D vision—across all four of AMI's hubs—points to a deliberate effort to fill a capability the lab's current public research profile doesn't prominently feature. The existing publication record is weighted toward JEPA-style representation learning, video, and reinforcement learning; 3D spatial understanding is a logical next layer if AMI intends its world models to reason about physical scenes rather than just predict patch-level video features.
The breadth of locations (NYC, Paris, Montreal, Singapore) for a single specialized role suggests AMI is prioritizing finding the right person over geography — an indicator of how seriously the lab is taking this capability. Bingyi Kang's parallel hiring call the same day reinforces that this was a coordinated push, not a single researcher acting independently.
Fei-Fei Li's World Labs debuts Atlas, a world model showcase for advanced spatial intelligence
What is AMI Labs?
Advanced Machine Intelligence is one of the most closely watched AI startups in the world. Founded in 2025 by Yann LeCun and Alexandre LeBrun, it's building AI systems that reason about the physical world, not just language.
About the company →What are World Models?
World Models are AI systems that learn an internal representation of how the world works — enabling machines to plan, predict, and reason about physical reality the way humans do.
The science →The Team
AMI Labs has assembled researchers, engineers, and operators across Paris, New York, Montreal, and Singapore. We track every key hire and leadership change as the team grows.
Meet the team →How a world model sees the future
Given what it observes, the model reconstructs the present and rolls out what happens next — a prediction of physics, not a retrieval of text. Below: a reacher arm, its reconstruction, and the model's forecast, side by side.
Global hiring accelerates
AMI Labs begins scaling its team across Paris, New York, Montreal, and Singapore — recruiting world-class researchers, engineers, and operators to build World Models.
$1.03B seed round at $3.5B valuation
AMI Labs closes a landmark $1.03 billion seed round — one of the largest in AI history — backed by Jeff Bezos, Bezos Expeditions, NVIDIA, Samsung, Eric Schmidt, and 60+ investors.
Yann LeCun joins as Executive Chairman
Turing Award laureate and former Meta Chief AI Scientist Yann LeCun co-founds AMI Labs, bringing his vision for World Models and next-generation machine intelligence.
AMI Labs brand launched
PengyouCo rebrands as Advanced Machine Intelligence (AMI Labs), unveiling its mission to build AI systems that go beyond language — grounded in the physical world.
Corporate structure formalised
Articles of association updated with early share restructuring: 1,000,000 shares divided into ordinary shares and SP preference shares carrying 10× voting rights.
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