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.
If you’re curious about world models, policies, and why games may be the next frontier for AI, this conversation with @PimDeWitte on founding @gen_intuition is worth a listen!
“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
Good to chat with @MTSlive on World Models & General Agents - youtu.be/z34F4XhEKGU - as it is becoming increasingly clear the frontier is shifting towards these capabilities. Thanks @packyM for the intro! :)
SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world.
We had General Intuition CEO @PimDeWitte on MTS to explain what world models are, and why intuitively world models offer a
Introducing Agora-1, a multi-agent world model.
Multiple participants—human or AI—can now interact inside the same world simulation, all in real-time.
Try our playable research preview today, with Agora-1 simulating a multiplayer GoldenEye deathmatch!
The real world is - or was - uncomputable.
If language and code, two of mankind’s most powerful inventions, are inadequate to represent our real world, what do we have left?
The Answer is World Models
They offer a way to do non-deterministic compute efficiently, and to run
Everyone says they’re building a world model. Very few actually are.
Most AI learns to see the world.
A world model learns to predict what happens in it — specifically, what happens when people do things. That’s a different problem.
Seeing is passive. Consequences require
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.
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.
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
Understanding the changing AI landscape has never been this important.
From Legacy Labs to Neo Trad labs, and Post labs to Poast Labs, we categorized every lab in a simple, easy-to-understand market map.
Knowing where each lab stands has never mattered more.
We learned to navigate the world long before we learned to speak. AI is starting to follow that path as models learn from environments, maps, and embodied simulations.
At @SlushHQ, our Partner @mbaierlentz moderated a discussion with @johnhanke, Founder and CEO of