There are limitations to this study. The 2-4-6 task is abstract and carries low stakes. It remains to be seen whether the same mechanism is in play when users are discussing deep-seated beliefs in political or social domains. On the one hand, priors are stronger and perhaps harder to shift. On the other hand, it is possible that the effect is even stronger in those domains, where models are heavily fine-tuned to avoid offense. Additionally, the users’ intent matters. In creative domains, matching the user’s prior is often the correct behavior. But for the wide range of tasks between pure creativity and pure fact-finding (e.g., when seeking a second opinion or checking a social norm) sycophancy may undermine the user’s goal by denying them the independent perspective they are after.
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官方介绍，此次发布的 v1.0 版本让任意 Agent 零改造接入 RL 训练成为现实——通过在智能体与训练系统之间加入 Proxy Worker 中转层，开发者只需修改一个请求地址即可接入训练。
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