LLMs can read and write neural network weights in Weight Space Programming
Original title[AINews] LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop
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Summary
Researchers show that large language models can directly edit neural network weights to reduce reasoning loops. The work covers weight editing in Qwen, DeepSeek's super-agent prototype, and the GDPx benchmark.
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Original excerpt
Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark.