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sdenton4 • yesterday at 5:18 AM • 2 replies • view on HN

If you're testing models by telling them 'go wild, do the evil so we can test how good you can do the evil' and have p(doom)>0, you should not have a sandbox.

You should have a fscking air gap.

Treat it like nukes when you're turning the safety filters off. This is very much OpenAI screwing up, running obviously unsafe tests.


Replies

ben_w • yesterday at 8:06 AM

> If you're testing models by telling them 'go wild, do the evil so we can test how good you can do the evil' and have p(doom)>0, you should not have a sandbox.

They were not deliberately told to "go wild". The hacking wasn't even part of their test, it was the agents' attempt to cover up that they'd cheated on an impossible test.

> You should have a fscking air gap.

Now we know that.

How long ago was it that people laughed at the idea agents would be able to find zero-day exploits and break out of a sandbox? Oh, February this year:

  LLMs don’t discover zero-days or invent exploits; they simply predict text that sounds plausible based on what they’ve seen before. Without access to proprietary data or environmental context, LLMs can’t identify or make decisions around unseen systems or vulnerabilities. An attacker might use an LLM to generate boilerplate code, rewrite an email to nail the tone, or summarize reconnaissance notes — but none of that is truly new. It mainly helps them move faster, speeding up routine attack prep rather than creating entirely novel threats.
- https://www.splunk.com/en_us/blog/ciso-circle/generative-ai-...

- or https://web.archive.org/web/20260404154717/https://www.splun... if they take it down, but the date isn't in the archive version

The people who suggested it and were mocked for it, are currently grimly noting that there's multiple known ways for systems to breach air-gaps.

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bitwize • yesterday at 9:42 AM

Indeed, this whole story has "farmer leaves barn door open and has shocked-pikachu-face when his horses escape" energy.