The frontier lab for acting in space and time. Enter our waitlist: partners.generalintuition.co…
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General Intuition has raised another $220M at a $6.2B valuation as we start making our models available. These are an entirely new class of foundation models, trained on billions of action-labeled videos, capable of acting in realtime in never seen before environments.
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General Intuition retweeted
This is a good explanation of what we do at @gen_intuition, and why it’ll be a big unlock. We train general agents who are great at pixels to actions, partially using world models as a way to scale data and capabilities. If you’re interested in joining us, reach out!
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General Intuition has raised another $220M at a $6.2B valuation as we start making our models available. These are an entirely new class of foundation models, trained on billions of action-labeled videos, capable of acting in realtime in never seen before environments.
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Why does this work? Humans play video games and (tele)-operate robots using the same inputs and outputs, namely vision & controller actions. We train directly on the largest dataset of these, similarly to how Tesla trained FSD, but across more actions and environments.
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What emerges is a model capable of handling autonomy across a broad range of environments and possible actions, including in the real world.
We've opened up the waitlist for partners who want to receive early access to the models. Please sign up at partners.generalintuition.co…
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General Intuition retweeted
The term “world model” is tossed around a lot but this is the real deal. From video and actions, the model learns a consistent representation of the physics, 3D environment, and game state of Rocket League.
I'm excited to have been part of this project because I see this as a step towards learning world models that can generalized to the real world. I’m a believer in learning from synthetic data (Sintel, SURREAL, AGORA, BEDLAM, BEDLAM2) and I’ve seen how models trained on synthetic data can generalize.
MIRA is an important step because it’s learned from video gameplay generated completely by bots. This provides a pathway to scaling and scaling is key to real-world generality. Traditional graphics and games provide a path to learning rich models of the world.
Check out the detailed tech report: mira-wm.com/paper/
Introducing MIRA.
A playable, multiplayer world model.
A dream of Rocket League.
Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press.
Built by General Intuition and @kyutai_labs, in collaboration with Epic Games. Not used to develop Rocket League.
▶️ Play the demo, read the technical report, and explore the open-source code at generalintuition.com/mira
At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.
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Introducing MIRA.
A playable, multiplayer world model.
A dream of Rocket League.
Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press.
Built by General Intuition and @kyutai_labs, in collaboration with Epic Games. Not used to develop Rocket League.
▶️ Play the demo, read the technical report, and explore the open-source code at generalintuition.com/mira
At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.
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General Intuition retweeted
We're proud to finally share this. Thanks to our partners at Kyutai and Epic for pushing the frontier of the World Models together, and towards open source. It's a new paradigm, we can choose to do things differently. Today marks an important step in that direction.
Introducing MIRA.
A playable, multiplayer world model.
A dream of Rocket League.
Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press.
Built by General Intuition and @kyutai_labs, in collaboration with Epic Games. Not used to develop Rocket League.
▶️ Play the demo, read the technical report, and explore the open-source code at generalintuition.com/mira
At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.
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Join the team for a Korean lunch in Seoul this Friday. ICML 2026.
🚨 Headed to ICML 2026?
Come hang out with friends at a Michelin Star restaurant to celebrate the end of the main conference!!
Huge thanks to our friends at @Gen_Intuition for co-hosting this with us!
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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!
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Event registration here: luma.com/owkha7u2 - ping @pallipau with any questions!
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General Intuition retweeted
In all seriousness, the name @gen_intuition comes from this @demishassabis talk, as the north star of the lab is a general agent, where "Play the World" applies to scientific problems that can become games too! Another example: piped.video/watch?v=JMAv0NS6…
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General Intuition retweeted
.@gen_intuition CEO @PimDeWitte discusses using data from gamers to train AI & broader implications for the labor market: cnb.cx/3QHDIXj
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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."
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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.
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Read more about world models and our journey in @ScienceMagazine - Thanks @SilverJacket. science.org/content/article/…
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