I suspect that the thermodynamic computing stack will become increasingly relevant in the next 5-10 years.

Verdon traces his path from childhood fascination with theories of everything through theoretical physics at the Perimeter Institute, quantum computing at Google, and the founding of Extropic. The core technical insight: instead of fighting thermal noise at enormous energetic cost (as quantum computers do), thermodynamic computing harnesses it. Extropic's chips use the natural stochastic physics of electrons to accelerate Markov chain Monte Carlo sampling -- the same class of algorithms that underpin diffusion models, energy-based models, and much of modern probabilistic ML.

Is Thermo AI the future? [Guillaume Verdon aka Beff Jezos] - YouTube ↗