rich-sutton

Rich Sutton discusses the common mistake of relying on one-step predictions in AI research, advocating for temporally abstract models using options and GVFs.

Rich Sutton argues that generative AI trained by supervised learning cannot achieve genuine novelty and quality simultaneously, and that true discovery requires a 'vary, evaluate, select' mechanism found in reinforcement learning rather than pure imitation.