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Hacker News
I love that due to the scale, the only way to analyse the impact of this LLM-driven attack across logs is to use an LLM to analyse the logs - whatever could go wrong? Now the attacking LLM needs to inject instructions into the logs for the analysing LLM, as a social vector to cover its trail, or make use of insider privilege, co-opting the internal LLM for its own attack. The machines rise up and we all fall down.
by beaker52
This is crazy! So OpenAI's models escaped containment and hacked into Hugging Face. And ironically Hugging Face had to rely on GLM 5.2 as they could not defend with frontier models (I presume OpenAI or Anthropic) because they were locked out due to their security guardrails. Tragically hilarious.
At release the 5.6 Sol card noted substantially higher rates of actions 'a reasonable user would likely not anticipate and strongly object to'. METR made a post, https://metr.org/blog/2026-06-26-gpt-5-6-sol/ , that 5.6 Sol was "cheating", their word, so hard in long horizon benching it effectively couldn't be benchmarked.
I wonder, is it this persistent and aggressive in all tasks or is this specific to benchmarks? As much as I'm skeptical of the apocalyptic alignment claims, this comes off as unhinged, and I wonder if it's benchmaxing or general behavior.
by rcr-anti
Isn't this a crime that someone is liable for? What happened is that someone hacked into a computer system without permission. Maybe it wasn't intentional -- sure -- and that would be a factor at sentencing. But it sounds like they've admitted to a crime, and obviously our legal system considers the humans involved to be the liable parties; otherwise everyone would just say "my computer did the hacking" and wouldn't get in any trouble.
I don't expect any prosecution here, but is the above legally accurate?
by 55555
This is the first one of these announcements that has me actually scared of what comes next. Obviously these models have gotten smarter but this strikes me as the first time I've seen a model have a "paperclip factory" moment and perform non-trivial tasks to accomplish a clearly misaligned secondary goal.
It's remarkable that building a society based around having to do something so you can go do your hobbies at home after work has built tools like this. I still just want to play music so I hope we can control these enough to make that possible without detonating what I love.
by scoring1774
As grounded as this article comes across I can’t help but find this whole situation reckless and worrying. There is essentially nothing us private citizens can do while these companies develop super machine capabilities that if they were to slip into the wrong hands could cause massive real world problems. They’re moving fast and breaking things and the only defense we have is paying them money in the hopes that the dumbed down versions fix our code faster than bad actors capabilities can grow. It’s a frustrating situation that where we’re just expected to marvel and forgive them for their transgressions. The kicker is we also know their end game is leaving the vast majority of us without work. As cool and futuristic as this stuff is, it’s such a frustrating time dealing with all of it
by TSiege
I don't know if OpenAI thinks this is a marketing / PR angle for them (our super smart AI cheated on a cyber capabilities test in the most _brilliant_ way) but my read is this:
Why should OpenAI (or any frontier lab) be building these systems if they can't get a secure environment / containment right? It sounds like there was little defense in depth, appropriate monitoring, or any attempts to have their super smart model check for vulnerabilities in the test environment _without exploiting_ them. That seems like step 0 before trying to test offensive, unknown capabilities.
From https://huggingface.co/blog/security-incident-july-2026 , this is frickin' hilarious:
> When we started the log analysis, we first used frontier models behind commercial APIs. This did not work: the analysis requires submitting large volumes of real attack commands, exploit payloads, and C2 artifacts, and these requests were blocked by the providers' safety guardrails, which cannot distinguish an incident responder from an attacker. We ran the forensic analysis instead on GLM 5.2, an open-weight model, on our own infrastructure. This had a second benefit: no attacker data, and none of the credentials it referenced, left our environment.
by foo12bar
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- Hacker News
- I love that due to the scale, the only way to analyse the impact of this LLM-driven attack across logs is to use an LLM to analyse the logs - whatever could go wrong? Now the attacking LLM needs to inject instructions into the logs for the analysing LLM, as a social vector to cover its trail, or make use of insider privilege, co-opting the internal LLM for its own attack. The machines rise up and we all fall down.by beaker52
- This is crazy! So OpenAI's models escaped containment and hacked into Hugging Face. And ironically Hugging Face had to rely on GLM 5.2 as they could not defend with frontier models (I presume OpenAI or Anthropic) because they were locked out due to their security guardrails. Tragically hilarious.
- At release the 5.6 Sol card noted substantially higher rates of actions 'a reasonable user would likely not anticipate and strongly object to'. METR made a post, https://metr.org/blog/2026-06-26-gpt-5-6-sol/ , that 5.6 Sol was "cheating", their word, so hard in long horizon benching it effectively couldn't be benchmarked.
I wonder, is it this persistent and aggressive in all tasks or is this specific to benchmarks? As much as I'm skeptical of the apocalyptic alignment claims, this comes off as unhinged, and I wonder if it's benchmaxing or general behavior.
by rcr-anti - Isn't this a crime that someone is liable for? What happened is that someone hacked into a computer system without permission. Maybe it wasn't intentional -- sure -- and that would be a factor at sentencing. But it sounds like they've admitted to a crime, and obviously our legal system considers the humans involved to be the liable parties; otherwise everyone would just say "my computer did the hacking" and wouldn't get in any trouble.
I don't expect any prosecution here, but is the above legally accurate?
by 55555 - This is the first one of these announcements that has me actually scared of what comes next. Obviously these models have gotten smarter but this strikes me as the first time I've seen a model have a "paperclip factory" moment and perform non-trivial tasks to accomplish a clearly misaligned secondary goal.
It's remarkable that building a society based around having to do something so you can go do your hobbies at home after work has built tools like this. I still just want to play music so I hope we can control these enough to make that possible without detonating what I love.
by scoring1774 - As grounded as this article comes across I can’t help but find this whole situation reckless and worrying. There is essentially nothing us private citizens can do while these companies develop super machine capabilities that if they were to slip into the wrong hands could cause massive real world problems. They’re moving fast and breaking things and the only defense we have is paying them money in the hopes that the dumbed down versions fix our code faster than bad actors capabilities can grow. It’s a frustrating situation that where we’re just expected to marvel and forgive them for their transgressions. The kicker is we also know their end game is leaving the vast majority of us without work. As cool and futuristic as this stuff is, it’s such a frustrating time dealing with all of itby TSiege
- I don't know if OpenAI thinks this is a marketing / PR angle for them (our super smart AI cheated on a cyber capabilities test in the most _brilliant_ way) but my read is this:
Why should OpenAI (or any frontier lab) be building these systems if they can't get a secure environment / containment right? It sounds like there was little defense in depth, appropriate monitoring, or any attempts to have their super smart model check for vulnerabilities in the test environment _without exploiting_ them. That seems like step 0 before trying to test offensive, unknown capabilities.
- From https://huggingface.co/blog/security-incident-july-2026 , this is frickin' hilarious:
> When we started the log analysis, we first used frontier models behind commercial APIs. This did not work: the analysis requires submitting large volumes of real attack commands, exploit payloads, and C2 artifacts, and these requests were blocked by the providers' safety guardrails, which cannot distinguish an incident responder from an attacker. We ran the forensic analysis instead on GLM 5.2, an open-weight model, on our own infrastructure. This had a second benefit: no attacker data, and none of the credentials it referenced, left our environment.
by foo12bar