Ethan Mollick· @emollick · X·· 1 天前AI 评分58
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Ethan Mollick 转发一项待复现的研究，称 GPT-6 Astra 直接修改 Qwen3.5-0.8B 仅 0.016% 的权重，修复其推理循环并把数学能力最高提升 6 倍、指令遵循提升 3 倍，全程不用梯度或训练。研究团队把这一做法称为 Weight-Space Programming，并称前沿 LLM 已能原生读写神经网络权重。Mollick 表示自己仍在等待复现，但认为这是件大事。
正文 · 原文
Waiting for replication but this is a pretty big deal.
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math. It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training. We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵 Blog: https://rikiyat.github.io/blog/weight-space-programming/在 X 查看被引用的帖子
来源：Ethan Mollick · x.com