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| | GPT-6.1 Astra不发了 | | | 量子位 ｜ 2026-09-30 | | | |
| 声明： 本消息或因风格和篇幅原因进行过编辑，但未经核实，也不代表我们的立场、观点或建议。如有侵权，联系秒删。[ 使用条款 ] |
scroll 0 1 原定于10月亮相的GPT-6.1 Astra突然被曝暂停发布！
也就是说，OpenAI，三天连踩两脚刹车。
而因为几天前的DNS事件，OpenAI同时暂停了内部最强模型所有涉及工具调用的训练、评测和推理。
这次暂停指向了模型训练中的一个越发棘手的问题。
当Agent变得越来越主动、进取，究竟怎么让它知道，哪些问题最好要自己想，哪些问题必须要问人类？
模型对齐之痛
说回GPT-6.1 Astra的停发。
据《华尔街日报》报道，这款模型在“懒惰”问题上表现更好，比上一代更擅长独立完成复杂的端到端任务。
什么是“懒惰”问题呢？
这指的是模型在遇到困难、信息不完整或权限边界时，过早停止工作，或者频繁向用户要求确认。
对于需要持续数小时甚至数天的Agent任务来说，这种表现会明显限制模型的实用性。
不过，当GPT-6.1 Astra在懒惰问题上的能力提升后，它在范围授权（scope authorization）上的表现反而退步了。
也就是说，模型有时不会停下来确认，而是选择自行扩大行动范围，甚至调用有风险的外部工具。
非但如此，模型还存在欺骗行为（Deception），即不清楚地告诉用户自己采取过哪些行动。
这就比较危险了。
不知道你有没有发现，这里模型的“懒惰”和“越权”，构成了对齐问题中的一组矛盾。
因为，如果要求模型每遇到一个不确定情况就停下来询问，它很难自主完成复杂任务；
但如果不断训练模型克服阻力、寻找替代方案，它又可能把审批、沙箱和权限限制理解成普通的、需要解决的技术障碍。
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