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A solo researcher introduces Wave Field attention, replacing standard O(N²) dot-product attention with FFT wave convolution, achieving O(N log N) training and O(1) inference per token. Claimed 80+ tok/s on CPU with 128K context and better zero-shot performance than GPT-2 124M.