Daily AI

Argues AI has entered its 'second half': a working recipe (language pre-training priors + scale + reasoning) now generalizes RL across tasks, so the bottleneck shifts from inventing methods to defining problems and rethinking evaluation.

A 2019 essay arguing that over 70 years of AI, general methods that scale with computation — search and learning — consistently beat hand-coded human knowledge. The short text that crystallized the scaling-vs-priors debate.