MIT researchers use GPT-6 Astra to directly edit Qwen model weights, boosting math performance

Researchers report GPT-6 Astra natively edited Qwen3.5-0.8B's weights, changing just 0.016% without gradient-based training and lifting its math score from 7.9% to 48.1%.

Read the full story at Techmeme ↗

Timeline · 5 reports

1. 2026-11-02 22:16 · VentureBeat AI
   'Like gene editing for neural networks': MIT researchers used GPT-6 Astra to edit Qwen's open weights directly, boosting math performance
2. 2026-11-02 21:36 · r/LocalLLM
   MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training.
3. 2026-11-02 21:00 · Ethan Mollick (X)
   If this holds up, it is big: "We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math
4. 2026-11-02 20:18 · r/singularity
   MIT researchers say GPT-6 Astra improved a small Qwen model’s math score from 7.9% to 48.1% by directly editing just 0.016% of its weights, without gradient-based training.
5. 2026-11-02 20:00 · Techmeme
   Researchers say LLMs can be good at natively reading and writing neural network weights; GPT-6 Astra edited Qwen3.5-0.8B's weights to make it better at math (Rikiya Takehi)