Что думаешь? Оцени!
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.
，详情可参考谷歌浏览器【最新下载地址】
First attempt with buggy code already hit 88% accuracy (later optimized to 85%)。爱思助手下载最新版本对此有专业解读
The Supreme Court called the case a matter of "institutional concern" and said fake AI-generated judgements had "a direct bearing on integrity of adjudicatory process".
這項裁決罕見地對特朗普廣泛行使行政權力構成制衡。