The BrokenMath benchmark (NeurIPS 2025 Math-AI Workshop) tested this in formal reasoning across 504 samples. Even GPT-5 produced sycophantic “proofs” of false theorems 29% of the time when the user implied the statement was true. The model generates a convincing but false proof because the user signaled that the conclusion should be positive. GPT-5 is not an early model. It’s also the least sycophantic in the BrokenMath table. The problem is structural to RLHF: preference data contains an agreement bias. Reward models learn to score agreeable outputs higher, and optimization widens the gap. Base models before RLHF were reported in one analysis to show no measurable sycophancy across tested sizes. Only after fine-tuning did sycophancy enter the chat. (literally)
阿里巴巴同时表示，诚挚欢迎全球顶尖 AI 人才加入，共同构建世界级大模型技术与开源生态，并将持续加大投入，为千问团队提供坚实支撑。
，这一点在币安 binance中也有详细论述
hoping that the interface changes will be welcome.，更多细节参见传奇私服新开网｜热血传奇SF发布站｜传奇私服网站
周永：最大的难点可能就是让大家相信中国企业。，这一点在博客中也有详细论述
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