Event ·Multi-source

MIT CSAIL 发现 GPT-6 Astra 可直接改写模型权重提升性能

MIT CSAIL 团队让 GPT-6 Astra 直接编辑 Qwen3.5-0.8B 的权重来提升数学能力。整个过程只改动了 0.016% 的权重,无需梯度或训练。该小模型的数学成绩从 7.9% 提升到 48.1%,提高约 6 倍,指令遵循能力也提升 3 倍。团队将这一方法称为 Weight-Space Programming,即前沿 LLM 可以原生读写神经网络权重。

Current read

MIT 团队让 GPT-6 Astra 直接改 Qwen3.5-0.8B 的权重,只动 0.016% 就把数学分数从 7.9% 拉到 48.1%,完全不用训练,做法挺新奇。

11 sources61° AI heatLast updated 2026/11/2 20:17:39

Evidence

11 sources
Primary sourceThe Rundown AI
View source
Related source 1shao__meng
View source
Related source 6歸藏(guizang.ai)
View source
Related source 7Thomas Wolf
View source
Related source 9kimmonismus
View source
Related source 10rohanpaul_ai
View source

Conflict check

Dedup data only shows that these sources discuss the same event, not that they agree. There is no structured supporting or refuting evidence yet, so no conflict is inferred automatically.