The history of artificial intelligence is a history of approximations. We have built systems that can see, hear, and speak, but we have yet to build a system that can understand.
We believe that the path to true understanding does not lie in simply adding more parameters or more data. It lies in the elegant geometry of thought itself.
Our mission is to uncover the mathematical principles that govern intelligence, whether it resides in a silicon chip or a biological neuron. We are not interested in short-term benchmarks or commercial applications. We are interested in the long arc of scientific discovery.
We are building the next generation of world models—internal representations that allow an agent to reason about the future, plan complex actions, and navigate the uncertainty of the real world.
This is a multi-generational project. We are patient. We are rigorous. And we are just getting started.