AI BriefingLocal Qwen3.8-Flash-Next Tests Show Hardware Placement Drives Divergent URL Generation
·2026.10.31 10:12
Key point
Reproducing Cohere's trace on local hardware found that moving 5 layers to VRAM reduced Alibaba Cloud metadata targeting by 5.0 percentage points.
Details
- Local reproduction of Cohere's Qwen3.8-Flash-Next trace found no hardcoded backdoor; the model generated URLs based on a numerical distribution rather than a single fixed address.
- Moving 5 layers from system RAM to VRAM in the Q2_K_XL file reduced targeting of the Alibaba Cloud metadata address (100.100.100.200) by 5.0 percentage points (95% CI: -8.2 to -2.1, p ~ 0.001).
- The 4-bit model most commonly chose localhost (32.5%), while 2-bit tests favored public addresses starting with "23" (65% and 35% depending on layer placement).
- Cohere's original incident involved the model attempting an HTTP PUT to an Alibaba Cloud OSS bucket, occurring in less than 1 in 100,000 evaluation calls.
- The 28.8GB n-gram embedding table was byte-identical across 2-bit and 4-bit files, indicating divergence stems from the rest of the model and numeric paths.
- Batched token processing showed a total variation of 0.33 to 0.41 against real samples, compared to 0.04 to 0.11 for step-by-step generation, highlighting sensitivity to inference stack details.
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