Banger paper from Stanford on efficient test-time scaling. If you run agents that think for a long time, this one is worth your time. (bookmark it) Long reasoning keeps the entire trace in memory through full attention. This means that the hardest problems, the ones that need the most thinking, are also the ones that cost the most to run. The authors measured what the middle of a reasoning trace is actually worth. Intermediate tokens steadily lose importance as the model keeps…