SOMs and the Future of LLM Architecture
anirbanbandyo · x · 2026-07-11
The author predicts that future AI tech will evolve towards "geometric invariant processing," and LLMs will eventually undergo this shift. They note that current human AI development desperately needs a foundational breakthrough akin to the "transistor moment."
The post quotes an intro on Self-Organizing Maps (SOMs): an SOM is a competitive learning neural network proposed by Teuvo Kohonen. Starting from a flat grid of neurons, it finds the best-matching neuron and updates its neighborhood. This allows it to gradually bend and fold to fit the dataset's hidden geometry while preserving topological structure. It's an elegant mechanism where global order emerges from simple local updates.
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