Newton's Fractal Explains the Math Behind LLM Training
glenbeer · x · 2026-09-02
A video article explains the mathematical roots behind LLM training. The author clarifies that gradient descent, often thought to be invented for AI, actually derives directly from Newton's root-finding method from 1669.
- Historical Link: The optimizers used to train GPT-5 and Claude rely on the same iteration logic that creates Newton's fractals.
- Nature of Training: This 350-year-old iteration logic now determines whether trillion-parameter models learn successfully.
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