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)
杨震进一步指出，如果阿拉伯国家的反美情绪被挑动，也门胡塞武装加大介入力度，形势对远在北美的美国愈加不利。随着战事拉长，形势对远在北美的美国愈发不利。，更多细节参见谷歌浏览器【最新下载地址】
“数一数二”，是夸赞他人的惯用词语，但若一味追求而脱离实际，则可能走向反面。，详情可参考旺商聊官方下载
人民政协来自人民、植根人民。坚持人民政协为人民，是政协始终遵循的履职理念。
Visual Lambda also includes a small interactive challenge: