Part 1/9:
Rethinking Reinforcement Learning in Human and AI Contexts
The conversation delves into the limitations of reinforcement learning (RL), especially when compared to how humans learn and reason. While RL has been a fundamental component in training AI models, the speaker argues that it fundamentally falls short in mimicking human-like understanding and decision-making processes.