Not every foundation model needs to be gigantic. We trained a 1.5M-parameter neural network to control the body of a humanoid robot. It takes a lot of subconscious processing for us humans to walk, maintain balance, and maneuver our arms and legs into desired positions. We https://t.co/EK0CBzPjQe

Impressive work! Showing that a smaller model can successfully control a complex task like humanoid robot movement is a significant achievement. This demonstrates the efficiency and potential of compact neural networks in real-world applications.