[R] A language model built from the damped harmonic oscillator equation — no transformer blocks

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I've been building a neural architecture where the only learnable transform is the transfer function of a damped harmonic oscillator: H(ω) = 1/(ω₀² - ω² + 2iγω). Each token drives a bank of oscillators as a physical impulse. The damped impulse response creates temporal context — recent tokens ring loudly, distant tokens have decayed. Attention layers operate on these physics-enriched states for long-range dependencies. The physics handles local context through resonance; attention handles glo...