Thermodynamic computers utilize random energy fluctuations instead of shielding against them. This approach departs from traditional binary logic to optimize power efficiency. Researchers at Stanford and other institutions are exploring these stochastic systems. The shift promises a new class of hardware designed specifically for the probabilistic nature of neural networks.