LLMs Can Now Read and Write Neural Network Weights - YouTube
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Jia-Bin Huang explores weight space programming, a technique where large language models directly analyze and modify the weights of other neural networks. By leveraging mechanistic interpretability tools, this approach aims to diagnose model behaviors, patch performance issues, and even construct functional networks from scratch without traditional training.