Files
turboquant_plus/docs
2b381cc44d docs: Idea E (rotation-free outlier channeling) tested and DEAD
Even removing 32/128 channels (25%), kurtosis stays at 8-50.
WHT rotation gets it to 2.9. Some layers get WORSE after removal
(55.6 → 156.98). Heavy tails are structural, not channel-specific.

WUSH paper confirmed: Hadamard is optimal data-agnostic transform.
Outlier removal would also need per-model calibration, killing
TurboQuant's zero-calibration advantage.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-Authored-By: tturney@psyguard.ai
2026-03-26 16:51:47 -05:00
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