Speculations on Test-Time Scaling | Richard M. Karp Distinguished Lecture

Sasha Rush surveys research on increasing language-model capability through computation at inference time. The lecture places test-time scaling alongside parameter and data scaling, examines model self-improvement and discusses implications for the design of reasoning models and open-source research efforts.