Many modern AI systems are built on the premise that intelligence emerges from compressing vast amounts of data into compact statistical representations. We start from a different premise: knowledge is an active dynamical process, not merely a compressed description of experience.
Large Language Models learn latent embeddings that capture regularities in text, enabling them to predict the next token with remarkable accuracy. Compression is an important mechanism for efficient representation and generalization — but compression alone should not be equated with knowledge.
Knowledge is more than a compact encoding of past observations. It embodies causal relationships, physical constraints, semantics, and the ability to interact with an evolving world. A compressed representation can summarize correlations without capturing the underlying processes that generate them. Two models may achieve identical compression while differing significantly in their ability to reason, explain, or predict behavior outside their training distribution.
Living cells do not appear to compress their environment into static representations. Instead, they continuously compute through dynamic interactions with noisy, nonlinear physical processes. Knowledge in such systems is emergent, arising from ongoing interaction rather than stored as compressed data.
Our hypothesis: genuine intelligence requires models that preserve causal structure, exploit uncertainty, and continuously adapt through interaction with the world — physics-native computational systems that represent knowledge as evolving dynamics rather than static encodings.
There is a difference between the math used in physics and the math used in biology. Many have tried to fit biology to existing math and have failed. We looked into the biology first and developed new math to fit it — this is our core innovation. Dr. Reuben Rabi has spent 25+ years working on this problem, and we are now able to model biology using new math developed by extending:
Read about how we have innovated on Newtonian calculus.
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