General Intuition

There is a tremendous amount of progress happening in World Models. Multiple labs have raised more than $1B. WMs were the star of GTC. They are a real path to embodied AI. So @PimDeWitte & I wrote a comprehensive 19k word overview of World Models. notboring.co/p/world-models

“The deepest value isn’t physics. It’s human intuition. A physics engine models how a drone moves; it can’t model how a skilled operator reacts when surprised. In surgery, it’s the feel for how the tissue responds to the scalpel. Train on human decision-making and you capture expertise that can’t be described with words, only shown, felt.” KV Partner Nicole Fraenkel on world labs and why we bet on @gen_intuition last year fortune.com/2026/03/06/ai-…

Yann LeCun (Chief AI Scientist, Meta, @ylecun), @PimDeWitte (CEO, General Intuition), and Aude Durand (Kyutai, @aude_drn), talk about world models, embodied agents, Yann's new company, and the limitations of LLMs 0:00 - Introduction to World Models 5:00 - Why World Models, Intuition & Introducing Yann's new company 10:00 - Architectures + Merging Language & Interaction Data towards General Agents 20:00 - Open Source, Sovereign AI & @kyutai_labs Partnership Keynote for #aiPULSE2025 at Station F in Paris 🇫🇷

Excited to do the keynote on World Models with @ylecun at AI Pulse on Thursday. still not quite sure why I got invited to share the time with this legend (if it’s a typo, you can still tell me!), but hopefully we can all go find out in Paris, I will be as curious as you! 🤣

With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount of data. The team at General Intuition @gen_intuition has a solution: use data from video games! Games teach movement, problem solving, and complex spatial reasoning, and they come in a staggering diversity of forms, covering a wide variety of problems. What’s more, the captured data is high-quality, without the noise or annotation error that can come from We sat down with @PimDeWitte and @AdamJelley2 from the General Intuition team to learn more about their history, their plans, and their philosophy.

With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount of data. The team at General Intuition @gen_intuition has a solution: use data from video games! Games teach movement, problem solving, and complex spatial reasoning, and they come in a staggering diversity of forms, covering a wide variety of problems. What’s more, the captured data is high-quality, without the noise or annotation error that can come from We sat down with @PimDeWitte and @AdamJelley2 from the General Intuition team to learn more about their history, their plans, and their philosophy.

Full episode dropping soon! Geeking out with @PimDeWitte @AdamJelley2 , cofounders of @gen_intuition leveraging large-scale game recordings to build agents with deep spatial/temporal reasonings. Built upon the work by Adam, @EloiAlonso1 @micheli_vincent (all cofounders at General Intuition) : DIAMOND - Diffusion for World Modeling: Visual Details Matter in Atari diamond-wm.github.io Co-hosted by @micoolcho @chris_j_paxton