Frontier LLMs are showing potential to read, fix, & rewrite neural network weights.
MIT CSAILers call this "Weight-Space Programming." It's what GPT-6 did when it edited various small NNs including Qwen3.5-0.8B, using tools in interpretability research or even direct weight editing. Soon enough, LLMs might natively optimize NN weights at a human or even super-human level:
Science
GPT-6 edited neural network weights directly
MIT CSAIL researchers report 'Weight-Space Programming': frontier LLMs like GPT-6 can read, fix, and rewrite the weights of small models such as Qwen3.5-0.8B, using interpretability tools or direct editing. The work suggests LLMs may one day optimize neural networks at human or super-human level.
348likes
73reposts
114saves
17Kviews
- Made with
- GPT-6
- Role
- MIT CSAIL
- Links
- tinyurl.com/378w4ckw
- Posted
