PRISM: Phase-Only LM via FFT Interference
💡Phase-only LM beats Transformers via FFT wave interference—physics for AI efficiency!
⚡ 30-Second TL;DR
What Changed
Enforces unit-magnitude (|z|=1) to store info in phase angles, inspired by RoPE
Why It Matters
Challenges traditional magnitude-based signaling in LMs, potentially enabling physics-mimicking architectures efficient on photonic hardware. Reveals interference limits, inspiring hybrid models with fewer params.
What To Do Next
Read arXiv paper https://arxiv.org/abs/2512.01208 and test single-token failure on PRISM.
Key Points
- •Enforces unit-magnitude (|z|=1) to store info in phase angles, inspired by RoPE
- •Uses 1D FFT for frequency splitting and phase rotations instead of magnitude amplification
- •Learns wave interference: constructive for related words, destructive for unrelated
- •Fails on single tokens (needs ≥4 for interference), magnitude-invariant to scaling/noise
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Original source: Reddit r/MachineLearning ↗
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