新智元 (微信公众号)T2·Models
72 pts
MIT CSAIL introduces "weight-space programming": instead of training or computing gradients, GPT-6 Astra directly rewrites roughly 0.016% of another small model's weights, reportedly boosting its math performance about sixfold. The work shifts capability transfer from data and gradient-based training to direct editing in weight space, potentially offering a low-cost route for model adaptation if the results replicate.