General Intuition
@gen_intuition
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We build foundation models and general agents for environments that require deep spatial and temporal reasoning.
New York, NY
Joined September 2025
Introducing General Intuition and our $133.7M Seed from Khosla Ventures, General Catalyst, and Raine. We build foundation models and general agents for environments that require deep spatial and temporal reasoning.
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Sharing more on the games industry specific impact of General Intuition: @gen_intuition @naavik_co
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Naavik Gaming Podcast · Episode
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We’re very excited to show reactions to the models for the first time and dig even deeper into the vision. If you’re a top researcher in world modeling, policy learning or have exceptional achievements in engineering or research, please reach out to us. (Disclaimer: we cannot
From a decade building Medal into a 12M-user game clipping platform with billions of highlight moments, Pim turned down a reported $500M offer from OpenAI and raised a $134M seed from Khosla to spin out General Intuition, betting that world models trained on peak human gameplay
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Full keynote here:
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,
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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,
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Our cofounder @PimDeWitte will discuss world models and spatial-temporal reasoning on Thursday in Paris at ai-PULSE. Our team is around and would love to meet with researchers and operators in the space - reach out to Pim, @EloiAlonso1 @micheli_vincent @hu_anth @pallipau
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! 🤣
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"We invented text as this way of compressing the world around us. Now, we model systems that represent interactions of how the real world works." - Our CEO @PimDeWitte in discussion with @johnhanke of @NianticSpatial moderated by @mbaierlentz - at @SlushHQ 2025. Perfect
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🤝 ai-PULSE revient le 4 décembre à @StationF avec le meilleur de l'IA. Au programme : reasoning, multimodalité, agents, IA embarquée, robotique... Cette édition accueillera notamment @ylecun, @PimDeWitte, @Xavier75 et Jérôme Monceaux. — En partenariat avec @Scaleway
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@elonmusk @grok @LeagueOfLegends I’m challenging you and xAI to a battle using precisely these rules in 6-12 months (you can choose any period within this, depending how much time you’ll need, we will be ready in 6). Deal?
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Launching @kyutai_labs x @Gen_intuition - research collab at the frontier World models and agents capable of spatiotemporal reasoning are the next frontier. As builders of this technology, we have a responsibility to educate. This is impossible without both unique data and
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We sat down with robotics engineers & researchers @micoolcho and @chris_j_paxton to go really deep into our technical roadmap and vision for General Intuition, and how to build a general agent for environments that require deep spatiotemporal reasoning.
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
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It was great to chat about our origins, current research and future directions @gen_intuition with @PimDeWitte, thanks for the interesting discussion @chris_j_paxton and @micoolcho!
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
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really nice research deep dive by @gen_intuition! (been following their work for a while https://t.co/7QjkDn5Hnl hehe) things that are interesting to me: - they are focusing on agents that require spatial and temporal reasoning (that can play basically any game, similar to what
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
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Amazing how valuable the game data is for real world data. Only games have action on controller and reaction in the world in a physics accurate way. And if you have data from thousands of games and tens of millions of gamers and billions of hours you are in position to win big in
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
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Full episode is live now also:
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
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We share a full deep dive of General Intuition’s research, building foundation models for environments that require deep spatiotemporal reasoning, for games and the real world, based on billions of action labeled clips. Huge thanks to @chris_j_paxton, @micoolcho and @Vikashplus.
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
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Our co-founders share more about building foundation models for spatial intelligence. When you already have billions of action labeled videos, you can skip the world models and go straight into spatiotemporal agents, leaping every company working on world models by years.
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
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Excited to release a full @RoboPapers episode on our research direction, specifically relating to world models and robotics, with @chris_j_paxton and @micoolcho in the next few days, with a deep dive on DiamondWM, from our co-founders @AdamJelley2 @EloiAlonso1 and
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
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It was a pleasure sharing the news on General Intuition's $133.7M Seed on @theinformation. Here's our CEO, @PimDeWitte, discussing world models and the lab's origin story with @akashpasricha.
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