Ant’s J-space paper may explain why quantized models feel worse without benchmark drops
Liu_eroteme · x · 2026-07-25
The post suggests that Ant’s J-space paper may explain why quantized models often feel much worse even when benchmarks barely move.
- The hypothesis is that quantization introduces perturbations in J-space proportional to the quantization step size.
- Those perturbations may accumulate across long reasoning traces, degrading subjective reasoning quality more than benchmark scores show.
- It’s framed as a question to the community rather than a claim of proof, but the angle is a useful one for understanding why benchmark parity can miss real-world regressions.
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