重點導讀
LLM 能讀寫神經網路權重。
- 能力：LLM 可直接讀寫模型權重。
- RSI 影響：RSI pipelines 目前僅寫程式啟動訓練，若能用權重直接改寫，可實現更原生的遞迴自我最佳化。
- 潛在意義：為模型自我改進提供新路徑，可能改變傳統訓練流程。
AI 伴隨問答
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elvis@omarsar0
·4 小時前
Must-read report! They find that LLMs are surprisingly good at reading and writing neural network weights.
Huge for RSI when you think about it!
Current RSI pipelines focus on writing code to launch training jobs.
This capability could offer a more native path to recursively self-improve models via weights.
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