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theregister.com
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Sounds promising, right? I spent some time testing it, but results were poor—high false positives and false negatives, no clear threshold for reliable classification. Plus, it suffers from high inference costs, poor cross-model generalization, difficulty deploying large models locally, and lack of access to closed-source model weights. All in all, it’s neither elegant nor reliable.，推荐阅读电影获取更多信息
deepseekv32 0.8529 0.8403
12:48, 5 марта 2026Россия