#self-improving
4 posts tagged self-improving.
Designing a Self-Improving Agent Harness: How to Tell Real Gains from Noise
I wanted an agent that improves my diagnosis agent's harness. The research said it would mostly learn to overfit, so most of the design is about catching that.
Noise Is the Enemy: Why Every Edit Got Rejected
The first full optimizer run proposed three edits and rejected all three. Every rejection was correct, and the reasons were more useful than an accepted edit would have been.
Power Analysis, and the Run That Worked
Every optimizer run had failed for the same reason, and it wasn't the model or the ideas. Once I fixed how many cases it measured on, it found two changes that raised held-out localization from 78.8% to 89.9%.
The Best Idea Came From the Optimizer's Data, Not the Optimizer
Three rounds of prompt edits couldn't beat the noise. The traces those rounds left behind pointed at a small control-flow change worth +8 points, and the optimizer still didn't find it when I gave it the setting.