Ziming Liu

Ziming Liu, a Physics PhD student at MIT, explores the intersection of AI and physics. He discusses his research on Brain-Inspired Modular Training (BIMT), enhancing neural network interpretability. The conversation dives into making networks more modular, the benefits of neuron swapping for optimization, and innovative techniques in language processing. Liu emphasizes the need for international collaboration in AI to address safety risks, showcasing how insights from biological systems can inspire advancements in artificial intelligence.