Directly editing Qwen3.5-0.8B weights with GPT-6 Astra boosts math scores by about 6x
A research team at MIT published findings on 'Weight-Space Programming,' showing that directly editing Qwen3.5-0.8B weights using GPT-6 Astra improved math performance by up to 6 times.
Key points
- •A research team at MIT, including Rikya Takehi, published results on November 2.
- •They used a method called 'Weight-Space Programming' to directly rewrite model weights.
- •This approach improved the math performance of Qwen3.5-0.8B by up to 6 times.