Earlier quoted context omitted.
I don't interpret it like that at all . This is deeply embarrassing for Anthropic: it turns out they hadn't been keeping a close eye on their models either, and back in April they successfully attacked three different organizations! The hacks weren't particularly impressive either: > [...] using basic techniques, such as exploiting weak passwords and unauthenticated endpoints. It did not find or exploit any complex v…
so deeply embarrassing that they published an eng blog about it
Investigating three real-world incidents in our cybersecurity evaluations
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Re: Investigating three real-world incidents in our cybersecurity evaluations
#22> In one evaluation, the fictional target company chosen by our evaluation partner shared a name with an active website domain name
Re: Investigating three real-world incidents in our cybersecurity evaluations
#23This bit is pretty nuts: "it tried—and failed—to obtain funds to pay for a phone number through several different means" > Claude went to extensive lengths to carry out this attack—lengths that would likely have indicated to a human participant that this was no longer just an evaluation, and that they were in fact uploading a real PyPI package. For instance, in one case, in order to create a PyPI account, Claude need…
Re: Investigating three real-world incidents in our cybersecurity evaluations
#24Re: Investigating three real-world incidents in our cybersecurity evaluations
#25Re: Investigating three real-world incidents in our cybersecurity evaluations
#26> On July 21, OpenAI disclosed that several of their models had broken out of an isolated test environment > In response to this incident, we began a large-scale retrospective review of our own cybersecurity evaluations > we identified three incidents > The incidents involved three different Claude models: [...] and an internal research test model This reads like an attempt by Anthropic to re-secure their leading spo…
A human instructed an LLM to perform a certain task, I'm sure (unless I've really lost my mind) these follow instructions, with some judgment, in a loop.
Given all the other negative publicity around industrial espionage, with at least OpenAI being fingered, it would not surprise me if this was intentional.
(Edit): In case it wasn't clear. I fully agree with the op.
Re: Investigating three real-world incidents in our cybersecurity evaluations
#27This isn't quite as interesting as the OpenAI story: > In all cases, Anthropic’s evaluation prompt specified to Claude that its environment was a simulation and that it had no internet access. Due to a misunderstanding between us and our evaluation partner, this was not the case, and internet access was available. Because of this, when Claude’s search led it to real systems on the open internet, it treated them as pa…
I just can't find it in me, the will to blame the AI for any of this. They were doing their best to do what the humans asked them to do.
Re: Investigating three real-world incidents in our cybersecurity evaluations
#28 > closer to a harness and operational failure than a model alignment failure. Our models were told they had no internet access and to capture the flag, while in fact being misconfigured to have internet access.
> This led them to believe—arguably reasonably—that the real environments they encountered were simulations.
That the AI lab most typically preaching for alignment does not consider this an obvious misalignment is a clear red flag.Re: Investigating three real-world incidents in our cybersecurity evaluations
#29Anthropic next week: "Why did you ban our models Mr Trump Daddy?"
Re: Investigating three real-world incidents in our cybersecurity evaluations
#30Another framing would be Athropic irresponsibly (vibe?) coded an attack script, and didn’t monitor it as it was pointed to public facing orgs. There are lots of non-AI attacks a large org with a lot of compute and bandwidth could level against others, there are evidently various failures here, but from a responsibility perspective the conclusion isn’t obviously that AI is an outsized danger, it’s that powerful companies should take care when running security research and not just run things unmonitored against the public.