Tag: Reinforcement-Learning

A technical deep dive into Karpathy’s thesis: agents are promising but immature. The bottlenecks are memory, multimodality, reliable computer use, better learning signals, and better self-improvement loops.

A technical deep dive into Sutton’s core argument: next-token prediction is not enough. Intelligence needs goals, interaction, and learning from consequences.