Authors walk back: the 6x math jump came from fixing reasoning loops

anshulkundaje · x · 2026-11-03

In a follow-up thread, co-author a1zhang shares backstory on the Weight-Space Programming paper: the team originally thought GPT-6 Astra's weight edits on Qwen3.5-0.8B had engineered in a pure math capability gain — an even bigger claim that turned out not to be the case. The primary issue was reasoning looping.

He had suspected as much after seeing similar odd benchmark jumps when training RLMs earlier, traced to reduced harness-level looping. Astra turned out to use a trick loosely based on activation steering to suppress the effect, which also motivated the later ablation where the model is told looping is the issue but lacks access to activations.

Related event: MIT's Weight-Space Programming: GPT-6 Edits Neural Network Weights Directly, No Training Needed(33 posts)→

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