#78 - Eito Miyamura: GPU-EVM, Game-Based Reinforcement Learning, Parallel Simulations

This podcast episode explores the importance of GPU-parallelized simulation environments for efficient reinforcement learning (RL), running the Ethereum Virtual Machine (EVM) on GPUs instead of CPUs, using fuzzing to find vulnerabilities in smart contracts, the significance of NVLink in modern AI, the benefits and applications of GPU-EVM for smart contract development, the importance of interdisciplinary collaboration in AI, the future of AI with new architectures and search, the balance between exploitation and exploration in RL models, simulating complex systems using AI, the challenges and opportunities of simulating the world in high-dimensional RL, synthetic data simulation in AI and machine learning, and the key skills and strategies for achieving deep understanding and expertise in various fields. The episode highlights the value of GPU-parallelized environments, the potential of GPU-EVM in smart contract development, and the impact of human interaction on personal growth and consistency.