研究发现LLM擅长读写神经网络权重，或开启RSI新路径
Must-read report! They find that LLMs are surprisingly good at reading and writi…
Must-read report! They find that LLMs are surprisingly good at reading and writing neural network weights.
必读报告！他们发现大语言模型在读取和写入神经网络权重方面表现得令人惊讶地出色。
Huge for RSI when you think about it!
从这一点来看，这对 RSI（递归自我改进）意义重大！
Current RSI pipelines focus on writing code to launch training jobs.
当前的 RSI 管道主要侧重于编写代码来启动训练任务。
This capability could offer a more native path to recursively self-improve models via weights.
这种能力可能提供一条更原生的路径，通过权重来实现模型的递归自我改进。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力