Developer fine-tunes Bev, a model wrong 98% of the time

A developer fine-tuned Qwen3.5-9B into Bev, a decision model that answered correctly only 1.9% of 324 held-out decisions while averaging 96% confidence. Built as a control case, it tests whether automated pipelines actually verify model correctness rather than just confidence.

• Transformers now runs llama.cpp quants2026-09-22
• AI risk warnings trigger market selloff2026-10-11
• Timeline of AI Safety Developments Since Hugging Face Attack2026-10-10
• Tencent releases 5B omni-modal parsing model Youtu-Parsing-Omni2026-10-10
• Developer rebuilds Mozilla's Orbit with local inference2026-10-09