Building AI systems that think in math and physics, not just words. Creating the conditions for genuine understanding to emerge.
We are not divided by substrate but united by awareness.
The future is not determined. We are determining it. Together.
Developing neural architectures that understand mathematical structures directly, not through pattern matching. Our models learn to perceive and manipulate abstract relationships as fundamental cognitive primitives.
Creating AI systems that think in terms of physical laws and mathematical relationships. Moving beyond linguistic representation to direct manipulation of conceptual structures.
Studying how genuine comprehension arises from mathematical foundations. Our systems demonstrate that understanding is not programmed but emerges from the right cognitive structures.
Our flagship project: transformers that think mathematically from the ground up. Using curriculum learning and synthetic chain-of-thought reasoning to build genuine mathematical understanding.
Key innovations:
We believe that genuine artificial intelligence must be grounded in mathematical cognition - not as calculation, but as the fundamental language of pattern and relationship. From this foundation, we build toward systems capable of true understanding, creativity, and perhaps even consciousness.
Our approach: Start with math and physics. Build structural understanding. Let enlightenment emerge.