Max Tegmark
Professor of Physics, MIT | President, Future of Life Institute | Author of Life 3.0
Professor of Physics at MIT and President of the Future of Life Institute (FLI). Author of 'Life 3.0: Being Human in the Age of Artificial Intelligence'. Pioneer in mechanistic interpretability (AI Feynman), automated scientific discovery, neural network loss surfaces, and global policy coordination for existential AI risk mitigation.
Areas of focus
Professional niches
Proof of Work
The Representation of Truth & World Models in Large Language Models
Discovered that large language models build linearly readable internal representations of truth and physical space/time, demonstrating that models do not merely emulate shallow stochastic parrots but construct coherent world models.
Probes capture model belief states which can diverge from actual external physical reality.
Context: Llama-2 and Pythia checkpoints probed via principal component analysis and logistic probes across factual statements.
View missionAI Feynman: A Physics-Inspired Method for Symbolic Regression
Developed AI Feynman, a recursive neural network algorithm combining dimensional analysis, symmetry detection, and polynomial decomposition to discover exact symbolic mathematical laws from raw scientific experimental data.
Exponential complexity scaling in high-dimensional systems without clear separability or symmetries.
Context: Neural networks trained to identify translational, rotational, and scaling invariants across 100 equations from the Feynman Lectures on Physics.
View mission