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ICML 2026! 🇰🇷 We're heading to Seoul next week. Come find our research team at Booth 111 to talk world models and action models - the core of what we're building at General Intuition. We're also hosting a party on Wednesday, July 8th for a curated group of researchers working at the frontier. If that's you, the event RSVP is linked on the thread. See you there!

it does seem like utilizing text & video to scale up to physics understanding of the real world is likely not enough. google is doing a bit of this with street view maps data simulation for this but the video game unlock seems absolutely legit esp if you have the full end to end loop of consequence mapping for ai to learn from that’s insanely rich (e.g. controller input → camera movement → game state transition → physics/collision response → npc reaction → player choice → reward/failure/social outcome). i personally grew up playing a ton of videogames as a kid including one of the first games to ever have open ended world simulation (it was called shenmue, absolutely pioneering, look it up). these guys seem to have a good understanding that these feedback loops in actual game play is the best data set for ai to behave in human contexts because that’s precisely how we learn & explore when we are young (like watch a kid play around).

.@gen_intuition CEO @PimDeWitte discusses using data from gamers to train AI & broader implications for the labor market: cnb.cx/3QHDIXj

General Intuition CEO @pimdewitte, who's building foundation models trained on video game controller input data ("action-labeled gameplay clips"), says general intelligence won't "taste like an LLM": "We have a scale of data that's going to allow us to jump to the frontier in one capability — which is any system that can be controlled with a game controller (which is most robots) — and then, you can use that to create a sufficiently general intelligence." "As humans, the decision to talk or type is a very, very small subset of the actions that we can actually take." "So in order to create a sufficiently general intelligence to play 10,000 video games, the model has to be able to predict across the entire action space of human cognition when they're interacting with these environments. Which are 2D and 3D environments, interfaces, long-horizon tasks, short-horizon tasks, [etc.]." "It has to be a sufficiently general intelligence in order to predict actions. Therefore, the type of model you get out is not going to taste like an LLM. This model is going to be incredibly good at navigating unforeseen environments. It's going to be incredibly good at zero-shotting any task that can be done with a game controller."

Appreciate the credit, but it was really your team we were betting on and the approach you have. As you know, it took one meeting and two hours on a Saturday afternoon to commitment on the spot. This was the first time I actually met you. Self driving vehicles, flying drone swarms, robotics, video games, and much more, all from the same model.

Come meet the MTS and MOPS (member of ops staff = me) in Seoul at ICML2026!

Most AI today has learned to see the world. The harder and more valuable problem is teaching it to predict what happens when someone acts in it. @gen_intuition is building the large action foundation models that do exactly that, trained on billions of clips from over 17M monthly active users on Medal. Congrats to the team on their $320M Series A. Large action models are the next big leap, and this category will produce several of the most valuable companies in AI. We're backing General Intuition because it's built to lead them.

Extremely proud of what the team has achieved over the past year. And the best is yet to come!

I am betting on this winning the world model race with human like intuition emerging in this model. Uncanny the range of things it can do. Can it win a formula 1 race soon?

Today we're announcing our $320M Series A at a $2.3B valuation, led by @khoslaventures , with @generalcatalyst, @JeffBezos , @ericschmidt, @NicoRosberg, alongside leading researchers from frontier labs and academia.

Announcing our $320M Series A at a $2.3B valuation, led by @khoslaventures, with @generalcatalyst, @ericschmidt and @JeffBezos. General Intuition is the frontier lab for acting in space and time. We build large action foundation models trained on billions of ground truth action-labeled gameplay clips from 17M monthly active users on Medal, and push the frontier of world models to generate infinite training environments.

Today, we are announcing our $320M fundraise at $2.3B valuation to build models that can act in space and time. I’ve always been fascinated by how the human brain works, and what about it makes each of us so unique in our intelligence. The answer I always come back to is that we are the product of our actions. As humans, we constantly take action, observe, act again, etc. This cycle is the atom of how we solve problems and exert our intelligence, and games are the largest data set of actions by far. With this round, we will prove two things: 1) that models trained to predict what to do in games will transfer to the real world (most robots are powered by game controllers) and 2) that the next frontier in intelligence lies behind understanding the diverse ways that humans solve problems in 3D space. This is only possible by bringing together Medal and General Intuition. And our incredible investors at Khosla Ventures, General Catalyst and futurepresent. If you want to play in the highest ELO competition in history, we are hiring: generalintuition.com, play the real world.

“The digital world lacks physical information. The physical world lacks dense digital information. Games perfectly merge these two together, and we believe that’s just the next phase of pretraining.” Every few weeks @gen_intuition ships new emergent capabilities that are orthogonal to anything you see in the LLM world. Watch GC’s @max_rimpel in conversation with @PimDeWitte. Chapters 00:00 — Introduction 00:10 — The World's Biggest Private RuneScape Server 03:09 — From RuneScape to Ebola 07:41 — Mapping the Unmappable 09:47 — Why LLMs Can't See the World 13:45 — The Accidental Foundation of General Intuition 19:10 — Turning Down a Life-Changing Acquisition Offer 21:12 — One Foot in Front of the Other 24:04 — Atoms to Atoms 27:33 — The Talent Flywheel 30:20 — Protecting the Last Weird Corner of the Internet

Medal just broke a run rate of 3 billion clips per year :) proud of the team!

I spent 8 years scaling Discord and got burnt out cause modern work is broken. We’re overwhelmed with too much info across apps, teams, and agents. AI made it worse. We’re building the solve. I've joined @tryhighlight as CEO and we raised a $40M Series A led by @KhoslaVentures.

Highlight is building a connected enterprise knowledge layer, alongside automated tasking systems by proactively identifying your action items and problems. With these two things together, we can get another OOM increase in enterprise productivity on top of LLMs.

Packy and I spent the past month unpacking world models from first principles. This piece is the result of that exploration. We go into why, what, how, and look out into the future on the implications of our work.