Is transformer attention really a Hopfield network?
This story is from 2026-09-19. It is preserved in the archive; the latest stories are on the live feed.
Someone in a thread says attention is just a Hopfield network, and the next reply runs with it: so the model already has associative memory, so an agent does not need anything else to remember. Both sentences sound like the same claim. Only the first one is true, and only in a narrow sense that is…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-09-19 06:08 · DEV Community — Machine Learning
Is transformer attention really a Hopfield network?