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)
20 верблюдов выгнали с конкурса красоты из-за ботоксаВ Омане верблюдам запретили участвовать в конкурсе красоты из-за ботокса
，这一点在新收录的资料中也有详细论述
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I'm on X/Twitter at@CostasAlexoglou，详情可参考新收录的资料
上下文保持：长时间对话中保持项目上下文
The intention was to create storage solutions for solar arrays on satellites and spacecraft.。PDF资料是该领域的重要参考