LLMs are getting good at directly writing neural network weights—what does that mean for gradient descent?
RichmanRonald · x · 2026-11-03
In a repost with commentary, lateinteraction argues that LLMs are no longer limited to text-level optimization of prompts, harnesses and code—they're starting to natively reason about and write out neural network weights directly. He raises the open question: in the limit, what does this leave for symbolic local optimization heuristics like gradient descent? Speculative, no experiments or data attached, but an intriguing trend signal.
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