arXiv: cs.AI preprintsInternational11 November 2026
Everything in its right place: attention is a radio head
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arXiv:2611.13146v1 Announce Type: cross Abstract: Attention, the core of language models, is a digital calculation over tokens: an exponential selects them, a division normalizes and a positional code sets the order. We show that attention can instead emerge from the synchronization of a receiver with its context tokens. Each past token is an oscillator whose state carries its content and whose frequency drifts with its age. The present token selects them by content, aligning an antenna with its query, and by position, setting the frequency of a receiver with its dial. Solving Kuramoto's probl
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