Given declining quality data, AI models are becoming increasingly dependent on post-training—reinforcement learning and such. A new Deepmind paper argues, however, that current RL methods are fraught and even counterproductive, leading to behaviors opposite to what is expected.

Hybrid neural–cognitive models reveal how memory shapes human reward learning
https://deepmind.google/research/publications/94006/