integrable-system

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@snowboat84: Continuing the discussion on applying physical models in AI. Today's Transformer uses attention to allow information at different positions in a sequence to interact, but this mixing is very likely lossy and irreversible. Independent pieces of information get blurred and lost as they mix, and it's impossible to precisely reverse-engineer the input from the output. What we want is a different kind of interaction...

X AI KOLs Timeline ↗ · 2026-07-04 Cached

The author discusses the problem of information loss and irreversibility caused by the Transformer's attention mechanism, and proposes drawing inspiration from the physical model of soliton propagation to design a reversible, zero-loss interaction layer as a direction for improving existing AI model architectures.

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