量子位官网T2·Models
88 pts
MIT researchers introduce 'Weight-Space Programming,' where GPT-6 Astra directly analyzes and edits small model weights (e.g., Qwen3.5) without gradient descent or retraining. Modifying just 0.016% of weights boosts mathematical capability by ~6x, and the method can also generate high-performance network weights from scratch.