“[GPT-5.4] excels at creating long-horizon deliverables such as slide decks, financial models, and legal analysis,” Foody said in the statement,” delivering top performance while running faster and at a lower cost than competitive frontier models.”
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.
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从8年攻坚、5年巩固，再到常态化精准帮扶、乡村全面振兴，时间刻下奋斗足迹。在“阶梯式递进、不断发展进步的历史过程”中，一程又一程跋涉，步履坚实。
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