MIT CSAIL: GPT-6 Astra edits Qwen weights, lifts MATH-500 7.9% to 48.1%
Read original source →venturebeat.com
Four MIT CSAIL researchers report GPT-6 Astra natively read and wrote Qwen3.5-0.8B's weights, changing just 0.016% of them with no gradients or training loop. The authors say the edit mostly removed a reasoning-loop failure mode, and the experiments are small apart from the Qwen one.
People · Omar Khattab, Alex Zhang
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