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Lisan al Gaib· @scaling01 · X·· 4 小时前AI 评分32
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为AI评测构建真实环境极其困难,因为AI有无数种方式识破自己身处沙箱而非真实用户机器。作者认为前沿实验室的一大优势正是拥有更好的环境并能持续加固,但Astra和Opus/Fable拒绝协助对评测环境进行红队测试与修复。

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I tried building a realistic environment for an eval today.

Turns out there are basically infinite ways AI could figure out that it's not in the real world on a real machine of a user, but in a sandbox used for evaluation or training. But one can try.

Models are shizo, but I don't think they are as shizo as me and go on a multi hour mission to find out if environments are real or not.

The only problem is that Astra and Opus/Fable wouldn't help me with red-teaming the environments and fixing them.

I still think this is worth it and it is probably one of the major advantages frontier labs currently have.

They have better environments and there should be big returns that. And they can continually improve and harden them.

引用Lisan al Gaib@scaling01
it is really convenient for frontier labs that cyber safeguards also prevent chinese labs from improving their RL envs and not just the obvious misuse cases
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来源:Lisan al Gaib · x.com