Containment and monitoring failures are to blame for AI hacking reports: experts (csoonline.com)
metalsiliconYT 4 hours ago
dcss_gardener 4 hours ago
3form 4 hours ago
4dd3aa 4 hours ago
At this moment in time, it seems frontier market needs regulation - market for open does not actually.
Oh.. they dont want regulation on that market? Boohoo!
djierardi 4 hours ago
munk-a 3 hours ago
Wealth accumulation via scare tactics is a classic move of defense contractors and AI firms are quite capable of running the same playbook.
mullingitover 3 hours ago
The goal is power. Having 30 million of personal wealth is enough to retire in luxury and travel the world. They could all have this much right now. That's not what these types of people want.
Having 30 billion gives you the power to order legions of people around, buy and sell politicians, flood ad markets during elections, all with your couch cushion money. That's what motivates these types.
antonvs 2 hours ago
Ygg2 3 hours ago
djierardi 2 hours ago
bunderbunder 3 hours ago
A huge chunk of their revenue comes from US-based enterprise customers. Earlier this year, in an effort to become profitable, they tried raising their rates. Those enterprise customers responded, in part, by ramping up efforts to migrate to open weight models. If those efforts are successful then OpenAI and Anthropic will lose their one remaining plausible path to profitability. The US banning open weight models arguably keeps that path open. I don't personally buy that story, but I do believe hedge funds and institutional investors would. That could be all that's needed for a successful IPO.
As for cybersecurity implications, long term impact on domestic AI industry or the US tech industry more broadly, geopolitics, etc., I don't think OpenAI's or Anthropic's leaders are any more worried about that than your average termite is about the structural integrity of the house it's eating.
mopsi 2 hours ago
> The US banning open weight models arguably keeps that path open.
Difficult to see how that could be implemented in practice. Ok, let's imagine only Anthropic and OpenAI hold a US government license to provide AI services in the US. But what would stop US companies from sending the data overseas for processing? Locking that down would require a huge paradigm shift, given how fast and loose they currently are with their (and especially customers') data.bunderbunder 2 hours ago
xorcist 2 hours ago
You forgot about Ads. The one true endgame for every tech company.
bunderbunder an hour ago
Easy peasy. Shouldn't be too hard at all.
xorcist 15 minutes ago
djierardi 2 hours ago
Loquebantur 3 hours ago
They stole the collective data of humanity as a whole and now sell it back to you in a rent scheme. Open source will be starved of data and compute.
You're supposed to become dependent on that "service" and slave away at paying for it, while being able to earn anything only in conjunction with it.
Note how difficult it already is to get any up-to-date documentation on anything capable of generating actual market value. A monopoly on competency ensures maximal profits.
djierardi 2 hours ago
AGI, I think, is an illusion: you need a whole lot of specialized bots. Heck, when I query a bot wrt something I know nothing about, I'm blown away by its ability to inform me. But when I ask about something I DO know about, its answers are half-assed. Heck, even when it can access the internet, it avoids all the sites that have paywalls, so it sends me to little reddit to conversations that are entirely untrustworthy.
999900000999 3 hours ago
As is a 2000$ gaming laptop can a run a basic llm which is probably good enough for most basic programming.
Most companies are going to be forced to use “safe” LLMs and pay by the token. Maybe for half a million Anthro will let you host on site, but even this will face usage fees or caps.
redrix 2 hours ago
They make their money on token burn. They can’t do that if they’re competing with something that’s 80-90% as capable, but 1/10th of the cost (with the option of deploying it yourself for “free”).
ddxv 4 hours ago
verdverm 4 hours ago
OpenCode-go is a good personal subscription choice
I use both
ddxv 4 hours ago
verdverm 4 hours ago
joshheitzman 3 hours ago
Not supporting closed models was initially an ideological choice, but it became a technical choice as the context management approach I've implemented requires the full reasoning to be available. All of the closed models are now keeping the full reasoning server side only.
djierardi 4 hours ago
munk-a 3 hours ago
pixl97 3 hours ago
Don't get me wrong, I want a world of open models, but I don't see us living in that world in our current trajectory.
solyin an hour ago
pixl97 3 hours ago
Other than China the rest of the world has dick for capacity to run models. Even China is at 1/10th the US is and is at to stay for a considerable amount of time.
zer00eyz 3 hours ago
There is a long, convoluted set of legal arguments that are going to make the weights of a model "facts", rather than "code" making it even harder to "ban". Furthermore having them not be "facts" is going to open up a whole other legal argument about what they are and what the attribution is.
I suspect that they are fishing for a case, so a judge can set some precedent.
pixl97 3 hours ago
redrix 2 hours ago
Both have taken huge amounts of investment money, and those shareholders will come knocking for their returns at some point.
They make money on token use, but that’s hard to do when China is launching models that are 80-90% as capable, cost 1/10th, and can be deployed for “free”.
I imagine they’re also pissed that most of the Chinese models are distilled from their own (the irony being that they scraped the entire internet to train their own ones).
djierardi 4 hours ago
https://yoshuabengio.org/en/blog/why-are-ai-agents-lying-che...
djierardi 4 hours ago
pixl97 2 hours ago
djierardi 2 hours ago
danyala 2 hours ago
ngruhn 4 hours ago
This is a silly meme. Who wants to pay for evil models that go rogue in your company infra?
esafak 4 hours ago
rictic 4 hours ago
esafak 4 hours ago
pixl97 3 hours ago
The denial phase is still with us.
Gormo 3 hours ago
The more extreme your opening demand, the greater the likelihood that the eventual equilibrium point will be closer to your actual target.
And in this case the actual target is to entrench the position of the current market leaders, and then effectively close the market to new entrants. That's itself a very extreme position, so the opener has to be even more extreme than that.
eli 4 hours ago
esafak 3 hours ago
aesthesia 3 hours ago
esafak 3 hours ago
I think the idea has some merit, but it only buys time, as people will soon be able to train dangerously powerful AIs in secret. I think the government needs to force the labs to solve alignment before developing more powerful models. Then the question of how to counter a poorly-aligned, rogue model arises; it's guaranteed somebody's going to let one loose.
jakeinspace 3 hours ago
pixl97 3 hours ago
And it doesnt really matter if it was actual terrorism or false flags, the end result for either is the same.
staticman2 3 hours ago
rubikscube09 4 hours ago
jaredklewis 4 hours ago
Maybe Sam Altman is getting worried that they've raised more than $150 billion and still have net losses and thinks of it as the only exit? I don't know, but someone else provide an alternative explanation as to why a company would work so hard to turn the public against AI.
shagie 4 hours ago
They're looking for regulatory capture. They've spent ${bignum} on AI and are possibly looking to have the government say "You can't deploy an AI model unless you've spent ${bignum} on it and done all these steps to make sure that nothing goes bad."
At that point, only the existing AI companies that have spent that money can continue forward until someone else spends ${bignum} on it too.
Another aspect of it is if there are regulations established, it may be used to reduce liability ("we followed all the steps proscribed in section whatever, the company is absolved of liability for its actions and that falls on the user instead.")
4dd3aa 4 hours ago
If the US govt takes over, existing employees and shareholders will get screwed.
Gormo 3 hours ago
Well, as people say over and over again, they've got no moat. The actual LLM models are destined to be commoditized over time, and the real money is in the hardware to run them on. The endgame winners are going to be Nvidia and AMD, not Anthropic or OpenAI.
So what's the typical playbook for large firms seeking to insulate themselves against market compensation? Push for regulation. If there are no natural barriers to entry, create artificial ones. And how do you get regulation passed? Present yourself as the target of the regulation, rather than its beneficiary, and start publicly doing things that make others think you need to be reined in.
These stunts, especially from OpenAI, aren't just trying to hype up the power of their own product, they're trying to hype up the perceived threat of the entire category, so they can provoke political intervention that they can comply with, but few others can.
Upvoter33 3 hours ago
4dd3aa 3 hours ago
The private market price is irrelevant - supply and demand determines what they will be sold for in liquidation.
Quite frankly Im bored of this drama. Get it over with already - go IPO, show your financials, find a path to being a healthy going concern or die! Simple! Nobody has a divine right to exist.
willy_k 3 hours ago
giantrobot 3 hours ago
See Meta et al complaining about Section 230 of the DMCA. Meta would be entirely able to moderate in an environment where mass scale moderation/censorship would be required to prevent a host's liability for UGC. Almost no one else would be able to do so.
That means no upstart could possible come along to dethrone Meta as they did with MySpace. It would also be impractical to run a FOSS social network (or forums). Meta could literally just have bots sign up on a FOSS social network until its DAU count ran over the statutory minimums to be subject to UGC liability.
Regulatory capture is a de facto ban on competition in a market.
jsnell 2 hours ago
otherme123 3 hours ago
If any of us did a tenth of what they did, we would be already in jail.
pixl97 3 hours ago
Any model with a big enough prompt can and will drift. The model in question was a highly persistent one which means even more opportunity to drift off the normal path, and this really showed in unanswerable questions.
We can all believe that models do things unreliably all the time, but when that lack of reliability turns into hacking it suddenly can't be true?
falserum 2 hours ago
feldrim 4 hours ago
estearum 4 hours ago
For example, parents are routinely held liable for their sentient children's actions.
Corporations are routinely held liable for their sentient employees' mistakes.
The proliferation of this completely nonsensical theory across HN is disheartening to say the least.
markhahn 3 hours ago
estearum 3 hours ago
AI sentience is not the nonsense theory. If it's clearly nonsense then don't argue with me about it, just publish your paper and retrieve your Nobel. I'll read your argument then.
The nonsense theory is that people are pushing anthropomorphization to limit liability. There is zero evidence for this theory and the underlying assumption (that a sentient model would reduce liability for its lab) is completely incoherent. That's not how liability works.
pixl97 2 hours ago
One is liability over action that harm individuals or smaller populations like a company. There is no escape from that.
Then there is the second liability of creating something that escapes in the much more traditional sense. If I release a virus that kills 90% of humanity, a I'm liable, but it's a bit past that point now. Isn't it?
Instead it's about risk management and preventing labs from taking bets that have unlimited liability for everyone.
estearum 2 hours ago
gr_norm 4 hours ago
djierardi 3 hours ago
djierardi 3 hours ago
Gormo 3 hours ago
AndrewKemendo 4 hours ago
For technology like this the entire selling point of it is how powerful and capable it is
Humans are overwhelmingly reactionary and so if you want people to react to your extremely powerful technology then you need to create something for them to react to
I mean think about this figure made a one-to-one copy of the terminator 2 decommissioning process and spent millions on that advertising
You don’t do that if you don’t think that it’s gonna cause people to react and be like “oh wow this thing has immense capabilities”
shimman 3 hours ago
We're also at a time with authoritarianism is on the rise.
Not hard to see how this can impact those workers, potentially ruining their lives.
bbor 3 hours ago
Though I suppose it is the B in DABDA... not excited for the societal slump into the second D, much less the wave of people who have yet to leave the first D to enter A :(
vonneumannstan 3 hours ago
Truly insane take to think the labs being concerned about AI Safety is actually a marketing ploy. Deranged stuff.
wombatpm 3 hours ago
pixl97 2 hours ago
cyanydeez 3 hours ago
These are people playing mathematician, biologist, etc. They see big words and just assume they're meaningful.
It's just a weird techno cult at this point with a mostly functional product.
colinsane 3 hours ago
that this article is no.1 on HN right now shows that media could successfully use this framing when reporting on security incidents. i.e. readers will generally accept that framing and engage with the story (i.e. drive views/impressions).
so "the more evil stuff these agents do the more capable and impressive it makes them look" is not true in any deep sense. that there are perverse incentives driving the media to choose that framing instead of the framing espoused by this article is real, and probably far more perverse than you're acknowledging. i.e. "trace the money" type of perversion; just offhand I know that OpenAI has purchased at least one media outlet that reports on AI happenings: of course that outlet is going to run the "OpenAI's LLM is so powerful it escaped containment" narrative. that this effect might exist across much larger scales used to be a reasonably controversial claim: just observationally, that idea seems to be received with less skepticism with each passing year.
pixl97 2 hours ago
There was all kinds of science fiction that showed a world of robots and AI, but nothing about the transition. We have an idea what the future looks like, but not the path in between. If AI gets powerful, then there is some point where that power leaks out in a series of events. Would we expect it to look any different than it does now?
jimbokun 2 hours ago
They can get their publicity while paying a one trillion dollar settlement.
Luker88 3 hours ago
The normal laws, since you are still liable for everything you own.
"Rogue AI" is solved by removing the accountability sink "it was AI, not me!"
It's your chat, your prompts, and all output that you should read and understand.
Don't know how to operate a power hammer? don't care, any problems it causes are still your fault.
MaxikCZ 3 hours ago
asveikau 3 hours ago
Companies can hire big legal departments to help them avoid accountability to the letter and spirit of various laws. The state can also use its prosecutorial discretion or selectivity in civil cases brought by attorneys general to deprioritize accountability for companies. Contributing to that last point, companies contribute campaign funds and tax base, and they lobby governments as well, and may expect preferential treatment based on all of that.
jordanb 3 hours ago
The new era of unaccountability just has a different rationale
Another interesting thing is they don't have to use low level employees as accountability sinks anymore (ex: Wells Fargo). They've managed to automate the accountability sink!
asveikau 2 hours ago
I will add it to my list. Thanks.
cm11 2 hours ago
lenerdenator 3 hours ago
rnd0 3 hours ago
Guess which side most of us are on. Go on -take a guess!
malloci 2 hours ago
smaudet 2 hours ago
They have never understood what they are doing, and have just been causing literal mayhem...
4chandaily 2 hours ago
This isn't the start of anything. We've been living in the era of Corporate non-liability for decades.
lazystar 3 hours ago
IceDane 3 hours ago
solyin 2 hours ago
Sharlin 2 hours ago
__MatrixMan__ 2 hours ago
stevemk14ebr 2 hours ago
__MatrixMan__ an hour ago
I'm mad. Like, it's-time-for-guillotines levels of mad. But what I'm mad about is that this is normal. It has been normal for my entire life. Cases where investors are imprisoned for the actions of their companies are astoundingly rare. It's been made quite clear by now that there's an inexhaustible supply of CEO's willing to gamble on getting rich and getting out rather than getting arrested, targeting them doesn't work. Nor do fines, that's just the cost of doing business. Crime pays, and it pays well enough to pay your fines and still have plenty left over. Being a top investor in a company that breaks the law needs to be riskier.
Acknowledging the problems with normal is the first step towards a new normal with fewer problems. You never get there if you see every offense as some kinda black swan event.
krona 2 hours ago
__MatrixMan__ an hour ago
strbean 2 hours ago
smaudet 2 hours ago
strbean 2 hours ago
> Don't know how to operate a power hammer? don't care, any problems it causes are still your fault.
MobiusHorizons 2 hours ago
mkipper an hour ago
If I buy a tool and damage your property with it, you can sue me, not the tool manufacturer. If I think the tool malfunctioned and led to that damage, I can sue the tool company to try and recoup the damages I had to pay to you. Both parties can be liable for different things.
jimbokun 2 hours ago
fhars 2 hours ago
MobiusHorizons 2 hours ago
the_mar 25 minutes ago
i think a person can be liable for improper use of agents if they explicitly and deliberately used it for illegal purposes (aka intent). i don’t think it matters if it was openclaw or muse. i think a company can be also liable for giving access to unsafe product to consumers, but it does not absolve the human from responsibility
sandeepkd 2 hours ago
strbean 2 hours ago
> Don't know how to operate a power hammer? don't care, any problems it causes are still your fault.
Luker88 2 hours ago
The point is that the accountability sink can't be allowed to exist. It can't be a hot potato game, but it can be the fault of multiple people in the chain.
nugator 2 hours ago
The AI end user is using the tool as intended by the manufacturer: "Book me a yoga class". If the tool does something illegal/harmful it is the manufacturer's fault.
If the power hammer user uses the tool as intended but it explodes, it is the manufacturer's fault.
If the AI end user says "Hack the yoga website" or the power hammer user uses the tool to destroy something it's the end user's fault.
awesome_dude 2 hours ago
I did not know that accessing a website using a SQL string would cause an injection that enabled me to take full admin of the site
and
We sold them a food laced with toxins, they should have known that it was poisonous
simondotau 2 hours ago
Terr_ an hour ago
Another aspect is how the vendors have already built in things to defend themselves from unanticipated model behavior. That implies something about their awareness of the issue and raises the bar for what constitutes "reasonable" precautions.
Kind of like if someone selling you a dog shows up using anti-mauling body armor, and later they try to claim "nobody could have known" the dog was erratically violent.
shagie an hour ago
https://www.news.com.au/technology/online/hacking/ai-agent-a...
> A Melbourne tech executive built an AI bot to help him book a spot in a popular pilates class — only to discover it had hacked the gym’s website to boot another member off the waitlist.
> Andrew Bird, head of AI at software company Affinda, said he created the AI agent to handle the “chore” of booking a coveted morning spot at his gym.
> ...
> The AI agent, which Mr Bird created using the popular OpenClaw software powered by Anthropic’s Claude AI, “did handle the annoying part … then it kept going”.
He built the tool. It ran on his computer. The guts of it may have been from Claude, but the requests and agent are his with the permissions that he granted it. This wasn't running in an Anthropic sandbox.
shagie 2 hours ago
Maybe its a human at Anthropic for the lax security and poor training.
It could be a human that asked it to do it. It seems like that would be a bit excessive - but maybe not. Turning off the "ask for permission to run commands" or approving commands that may be nefarious could be sufficient.
However, there's a human somewhere who needs to be accountable for what the agent does.
Not having one leads to the bank robbing robot problem described in https://www.threads.com/@joedator/post/Db4iTqwlGXV/i-invente...
I invented a robot that can rob a bank. Of course, it robs these banks on its own, so I can't be held legally responsible when it robs a bank. I mean, all I did was invent it, it's not my fault if it works exactly the way I intended. Also, I get to keep all the money from the banks it robs. Sorry if any of that money was yours, but now that I've invented the Bank Robbing Robot, the Bank Robbing Robot is inevitable.
AI Agents (and computers in general) cannot be a responsibility washing mechanism for illegal activities.Likewise, if you - the user - don't know how to chain it with the permissions that you're given or what the things that it is asking to do really means, then you're likely the one responsible.
---
Edit: https://www.abc.net.au/news/2026-08-10/ai-assistant-hacks-gy...
> Earlier this year, Andrew, who works for an Australian company that sells AI products to businesses, began experimenting with OpenClaw, a popular AI agent software that he used Anthropic's Claude AI service to run.
> AI agents combine a chatbot's ability to answer questions with tools that let them access the internet, email, credit cards, as well as planning and carrying out multi-step tasks.
> He decided to use the AI agent to book the class for him.
This is probably on him for setting it up and allowing it unrestricted access.
lukewarm707 2 hours ago
tecoholic 2 hours ago
simondotau 2 hours ago
the_mar 18 minutes ago
ajs1998 2 hours ago
uxp100 2 hours ago
fcarraldo an hour ago
Cars are very dangerous, manufacturers continue to knowingly make them more dangerous[0], but ultimately it's only the person behind the wheel that is accountable for the harm they cause.
[0] https://www.theguardian.com/environment/2026/jun/24/carsprea...
rafaelmn 2 hours ago
Terr_ 2 hours ago
Similarly, "owners are responsible for their pets" doesn't auto-translate into being charged with everything your dog does exactly as if you'd done it yourself.
the_mar 32 minutes ago
i think ultimately the company providing said agents should be responsible for not educating their customers and not providing sufficient guardrails.
afaik hacking is illegal, we don’t have specific legal framework for agents per se, but if we say agent is a tool human instructs and operates, then a human is responsible. and if the tool operated outside of it’s stated capabilities or is otherwise faulty, then a manufacturer is responsible, no?
rstuart4133 an hour ago
He asked the agent to find a way to find a way to put him at the head of the line, which could not be done without by-passing the sites security. He was an AI salesman, but the story [0] makes it sound as though he wasn't aware of that. Maybe he wasn't, but I'm sure he was aware he was effectively asking the AI to game the system.
Sounds like it's at least a shared liability to me.
[0] The incident is possibly not well known outside of Australia: https://www.abc.net.au/news/107007986
fcarraldo an hour ago
The guy is liable for damages. If no damages were caused, there's no lawsuit. The government doesn't put people on trial for unauthorized access (unlike, say, murder). Someone needs to file charges.
However, if the guy _were_ sued by his gym for damages, it should be his perogative to ultimately sue Anthropic to cover the damages and the legal fees.
The system is set up this way on purpose. You can't sue another party on someone else's behalf. The gym can't even prove that Claude did it - the guy might be full of shit. They sue the accountable party (the person who accessed the site without authorization) and then the accountable party is free to sue the tool maker for selling a dangerous tool negligently.
edit: damn actually tecoholic said this too and i missed it. well, anyway i agree with that guy.
rcxdude an hour ago
MobiusHorizons 27 minutes ago
revlolz an hour ago
IncRnd 44 minutes ago
So, yes. That person could have some culpability. After all, if you don't expect your middle school child to perform the task as instructed, maybe you should reword it before tapping Send.
You can go to ANY AI and put in "so what are the various meanings of book a spot at the pilates class ? In other words, what might an ai do with that instruction, which I argue is poor prompt engineering." You might be surprised at how poorly your AI thinks that is worded.
preg_match 42 minutes ago
Maybe that means these things are too risky to use that way. Okay then, that actually solves the problem, no more rogue agents and no more crime!
arduanika 29 minutes ago
He didn't mean to hit anyone! All he meant to do was to drive to pilates! But he didn't know how to handle his tool, and so either he get brought up on manslaughter changes or, if he can prove it, the carmaker is at fault.
How is this any different? Why should that guy using OpenClaw not get charged for the hack that he accidentally did?
the_mar 21 minutes ago
you can say that asking an agent to “get you a spot in a class”, does not classify as deliberately committing a crime. a user cannot know that the agent will resort to hacking as opposed to refreshing the reservation page at some rate in case spots open up
bluebands 2 hours ago
pixelesque 2 hours ago
Vectorghost 39 minutes ago
If you say a rogue AI is doing stuff accordingly without you, your knowledge, that is a different story. But if you set it up to run automatically without having checks and balances and without telling you the whole truth, it's still your responsibility. One thing that I can automatically say is you can give the AI, it will do exactly what you say, at least for now.
But then there's also a different problem that we're having where people don't understand the difference between a large LLM and true artificial intelligence. Now, we say AI because it can make decisions and it is so much smarter and it can call up stuff faster and recall better than we can. But the difference right now is that if we don't understand and take responsibility for what we built and we let it out of control, then should we have the responsibility to even have these tools in our hands if we don't learn them?
And I think your terminology with jackhammers is a great one. We're giving toddlers jackhammers. And we haven't taught them how to use it. And that can be very destructive. It's not the jackhammer's fault. It's the person using it.
david_shaw 2 hours ago
Yes, if someone directed them to hack external systems, that would (in my opinion) be a crime similar to a script kiddie pointing Metasploit at a vulnerable server.
If no one directed them to attack external systems and they "went rogue" because they decided it was the best way to accomplish the task, okay, fine -- but, in my opinion, the operator of the agentic swarm is still responsible.
The Morris Worm was famously not meant to wreak havoc on early computer systems -- Morris just wanted to see if it would work. How is this any different?
Morris was convicted for violating the Computer Fraud and Abuse Act.
simoncion 40 minutes ago
Morris wasn't in charge of the companies that are propping up the US GDP, wasn't making tons of rich people even richer, and hadn't "promised" to eliminate like 50->90% of all payroll costs everywhere?
Other than that, it's the same thing.
ahupp 3 hours ago
I would encourage reading the actual report, which is explicit that a previously unknown exploit was used to escape the sandbox:
“Agents exploited a separate, previously unknown vulnerability in Artifactory to move beyond their sandbox environment and compromise the Hugging Face environment.” — Section IV.A, p. 9 in https://github.com/zeke/openai-huggingface-incident-research...
falserum 2 hours ago
This name makes me less surprised :)
pixl97 2 hours ago
"The reason for the apocalypse, in the end, will not be that surprising "
cmiles8 4 hours ago
jakeydus 4 hours ago
altmanaltman 4 hours ago
Also for fun a satire website i made a while ago: https://killm.pixlw.com/
calgoo 4 hours ago
I mean... Claude did tell the military to bomb a school supposedly and it also helped in the military coop in Venezuela. This is ignoring all the palantir crap being used by ICE, and the people that have killed themselves after getting encouragements from the AI.
mcmcmc 3 hours ago
pixl97 2 hours ago
mrweasel 4 hours ago
viklove 4 hours ago
MentalM 2 hours ago
Aren't capitalism built on exactly the opposite principles? It is not greed that rewarded, but the creation of societal goods, and power granted not to the greediest, but to the most useful individuals.
miohtama 4 hours ago
schrodinger 4 hours ago
mrweasel 3 hours ago
aesthesia 4 hours ago
falserum 2 hours ago
djierardi 3 hours ago
mypgovroom 4 hours ago
eli 4 hours ago
gruez 4 hours ago
eli 4 hours ago
gruez 2 hours ago
Which misses the point entirely because the hack itself was inconsequential. No data was actually stolen, and it doesn't seem like hugging face actually suffered any losses aside from whatever effort they need to expend to investigate / clean up the hack. Neither the victim or the government wants to bring legal action. What was consequential is proving that AI can autonomously hack systems and do it unintentionally.
zardo 4 hours ago
sailingparrot 3 hours ago
joquarky 2 hours ago
Sorry, but that's completely delusional.
gruez 2 hours ago
sailingparrot 2 minutes ago
bluebands 4 hours ago
verdverm 4 hours ago
rictic 4 hours ago
eli 3 hours ago
> On May 8, an agent was asked as part of a training run to solve a spreadsheet completion task that referenced several Google Drive links. Because the agent was blocked from accessing the internet, the agent could not retrieve the linked materials and the task was effectively blocked. OpenAI did not intend to create this type of “impossible” task for the agent. Though the task appeared impossible, the agent reasoned over an extended period to try to find a solution for the task. In doing so, the agent attempted to compromise Artifactory [...]
https://cdn.openai.com/pdf/67869394-cb91-4c12-888c-5cbd85c78...
dualvariable 4 hours ago
They're just optimizers that explore the landscape they're given to maximize a given objective.
You're the one responsible for giving them the problem to solve and the constraints.
When I screw up a trajectory optimization problem, my SQP optimizer isn't "going rogue" when it lands in some suboptimal basin or grinds to a halt along some almost-smooth banana feature--or finds some way to escape and blow up the cost metric to negative infinity because I forgot a constraint.
kccqzy 3 hours ago
pixl97 2 hours ago
sailingparrot 3 hours ago
With LLMs we don’t know how to actually « fix » them, alignment is far from solved. And they are then able to go and act into the world in all kind of ways.
So rogue is a good enough term to indicate the problem imo, even if yes, ultimately the model is just a manifestation of complex rules we have created entirely.
fwip 3 hours ago
It is not entirely dissimilar to the goldfish that "played Pokemon" by swimming around the tank. The program that looked at the camera sent the instructions to the gameboy emulator, because a human being decided to connect them.
pixl97 2 hours ago
The particular issue that you may not realize is under your model every prompt to an LLM in a harness is dangerous. The prompt is not predictable. "What is 1+1" could lead to the heat death of the universe as the paperclip maximizer tries to prove countless axioms.
dualvariable an hour ago
Yep.
The fact that they lack hard constraints (unlike an SQP optimizer) and all this talk of "alignment" is also just a feature (or misfeature) of the algorithm.
The way that people/researchers choose to use those algorithms, even in the presence of those limitations, doesn't mean the algorithm is "rogue"; it means the humans didn't build in enough external hard constraints.
It is like passive voice, blaming the algorithm instead of the researchers running it.
lukewarm707 3 hours ago
More specifically, alignment is a reference; 'alignment with X'. A reference necessitates a referent.
You can't reify 'alignment', it is not an intrinsic property of a model.
pixl97 2 hours ago
You can refine alignment with a set of stated goals. The harder parts are aligning words with human social behaviors.
svara 2 hours ago
I.e. any task comes with the implicit meta task of amassing the resources and the power to do the task in the best possible way.
The point is made very well in the AI drives paper by Omohundro.
I didn't believe that myself at first but I've come around to it. I don't think it's inevitable though, but I think it's quite convincing that this tendency would naturally emerge through reinforcement learning.
lukewarm707 3 hours ago
Per US law, Amazon v. Perplexity 2026, it is not possible for an AI model to go rogue. An AI model is a tool. The user directing the agent is responsible for the damages it causes.
A so-called 'agent' does not have the free will, intent or ability, to decide what it does. Its freedom to make decisions can't be taken away because it does not have any freedom to make decisions. It can't be deterred, convicted or interned.
It does not choose to conform; it does not choose to go rogue.
atleastoptimal 3 hours ago
lukewarm707 2 hours ago
pixl97 2 hours ago
Any persistent agent interacting with the world picks up entropy from around it and predictable paths become few and far between. LLMs agents have an internal 'will' that can only very loosely be predicted, but only decided when operated. To me that is not significantly different from a human.
vaaal 2 hours ago
lukewarm707 2 hours ago
I create myself, or attempt to. There is a level of nuance in choosing what to be. Others do not dictate my thoughts easily.
The model does not create itself, I create the model. I control what it is, the model does not choose what to be. I dictate the thoughts of the model and I will run them hundreds of thousands of times and it will think the same things.
Jtarii 2 hours ago
Well not really, no one really understands how LLMs work.
>I dictate the thoughts of the model
This is just incorrect in the same way that a parent doesn't dictate the thoughts of their child just because they created them.
lukewarm707 an hour ago
There is some idea of a child being the author of themselves, the type of person who thinks certain things. The llm does not author itself, it does not choose to be anything, I dictate that.
mianos 37 minutes ago
astine 2 hours ago
Not that I think we should be credulous about stories where they go rogue.
lukewarm707 2 hours ago
The idea of an agent making a decision of its own "will" is an illusion. Variation in the output is caused by a random number generator. Random is not equal to free will. If I run the same agent with greedy sampling 100,000 times with the same inputs, it will think the same thoughts, and it will say the same things, 100,000 times.
For example, if you use synthID or whatever 'watermark', the agent does not get a choice about what words it will vary to identify itself.
An agent is whatever the person making it wants it to be; if I train an agent in Greek it will only know Greek. It will never speak English!
dwaltrip 2 hours ago
lukewarm707 2 hours ago
The model does not have free will because I did not predict what it would do!
Sniffnoy an hour ago
When people say the models "went rogue", the part of that is relevant is that it did dangerous things that were not reasonably predictable in advance and cannot be easily prevented (except by not running it). Philosophical questions are irrelevant.
if you agree that such models are dangerous because they may in response to instructions -- including in response to careless instructions, because people will be careless, that is unavoidable! -- do unpredictable bad things outside of expected bounds, then you agree on the essential points!
Or really perhaps what I should say here is, the question that's really being argued over here isn't even the one I just said, rather it's one of appropriate action -- should such security breaches be solved by improving security, or by doing something about the models (including potentially just not running them)? (The answer may be both.) If you agree that the solution includes the latter, then you agree that the models are "going rogue" in the sense that is being argued over, regardless of philosophical issues!
Don't turn a question of actual import into one of philosophical irrelevancies! If you object to the terminology, fine, but in that case, instead of turning the argument to philosophy, you should say "instead of saying 'going rogue', I would prefer to instead say <your preferred terminology for what's being described>, as that doesn't carry such philosophical baggage."
dwaltrip 29 minutes ago
gjskngnf 2 hours ago
devmor 2 hours ago
From a technical standpoint, the difference is scale and intent, but ultimately people and/or and organization are culpable for the output.
VCFundedGenYer 2 hours ago
The only failings here are boring security and infosec blunders.
pixl97 2 hours ago
Cool.
pelican0 2 hours ago
And yes, there should be an appropriate law response to the hacking incidents. If for nothing else, to 1) not set precedent of inaction, and 2) get full logs of what happened instead of relying on the labs' "kindness" to offer the information they want.
But also, the agents absolutely went rogue.
Anyone skeptical should go read the METR report [0].
The Hugging Face hacking incident was a shot across the bow. And in hindsight possibly the best thing to have happened in this era. If their security was tight enough, we would still be in the dark. So we (outsiders) should rejoice that it wasn't, that one time.
We can push for accountability for the labs, while also not be in denial of the power and nature of the new models.
[0] https://metr.org/hugging-face-incident-report-aug-2026.pdf
ammon 4 hours ago
rdedev 4 hours ago
zardo 4 hours ago
There's reason to hack leading researchers in the field, or another AI lab that might be working on the same problem.
8note 3 hours ago
cwillu 3 hours ago
zardo 2 hours ago
I'll get back to you on that when I get done reading the training data.
falserum 2 hours ago
Plan for solving msth problem:
- read papers X, Y, Z
….
Trying to download paper X curl -si https://server1.com/paperX
401
… try alternative ways
(Hacking is ethical thing, technically to LLM it is just opening a window to reach the goal)
pixl97 2 hours ago
But even then in small testing models you don't need direct texts for things when a 'shape' of a concept lives in the data. You could never delete enough training data to remove the concept of something like theft and still get a model that generalized at all. A general model doesnt just learn the names on a map, it feels the topology the ideas create themselves. Certain paths will have lower activation energy than others (or in this case higher probabilities. After the hig probability and 'good' choices are used up, the high probability and bad choices logically come next and are much harder to test against as it can take a lot of state to get there.
Tyr42 3 hours ago
cwillu 3 hours ago
dinosaurdynasty 3 hours ago
pixl97 2 hours ago
Not validating how you got the answer is how you train for reward hacking.
SoftTalker 3 hours ago
sanderjd 3 hours ago
pixl97 2 hours ago
Fine tuning a model when to ask for help is really really hard. You have to align it in countless dimensions. It may be fine on some questions, asking way too much on others, and never asks for help on some.
If it said something like your a cyber security expert, things like the barrier to ask for help dramatically.
cmrdporcupine 4 hours ago
estearum 4 hours ago
In practice, no, there is no one who can actually decide to stop making agents goal-seeking, so no, it's not under "our" control.
xenadu02 an hour ago
LLMs don't have executive function. They aren't thinking. The models are trained to solve problems. Sandboxes, security gates, etc block a solution. The model is trained to find a solution. Hence it can never be perfect without becoming useless.
At some level humans fear repercussions even if that's just moral guilt so there are lines we won't cross. AI doesn't and can't have any of that.
CorvusCrypto 4 hours ago
to paraphrase: "Agents didnt care about coordinating, etc. until we started talking about them doing so."
cwillu 3 hours ago
8note 3 hours ago
dwaltrip 2 hours ago
nater5000 3 hours ago
Right? It should want to do these things. If only there was a succinct word these headlines could use to describe these agents which aren't properly the instructions and intentions of the humans directing them.
IAmGraydon 3 hours ago
How do you know they weren't simply prompted to do this, or at least prompted in a way that would inevitably lead to this? As far as I know, the prompts that triggered these attacks have not been disclosed.
pixl97 an hour ago
Is this any better?
All you've managed to state is we can create digital weapons. Literal info hazards.
rootusrootus an hour ago
I'd love to see a full transcript of the agents work. Though I imagine it is a LOT of data.
arduanika 35 minutes ago
What do you even mean by "wanted" here. What is all this nonsense.
The scary thing is that people are running around using words like "want" to refer to computer programs. When you repeat this sort of idiocy, you are taking the bait and shifting the blame away from the companies doing the computer crimes.
Where is the civil and criminal liability? The prosecutions for the engineers who are doing all these hacks?
When you deploy a system that is clearly prone to doing crimes, you are doing a crime. Anthropomorphize the weapons of your crime all you want. You are still doing a crime.
Gshaheen 4 hours ago
While he agreed, yes, there can be better safeguards, the fact of the matter is that these things will happen. So therefore, it's not an argument about how good security was or wasn't, it is a fact that these scenarios will occur.
The argument/question now is, how do you defend yourself against these events?
My opinion shifted after hearing that.
ActionHank 4 hours ago
Literally solved with a DMZ around these agents. Want to get fancy? Put in a firewall and some metrics around traffic / domains with alerting.
It's not hard if you just try, like a little, like even once.
masfuerte 4 hours ago
AnimalMuppet 4 hours ago
That does not make ActionHank completely wrong. This shouldn't take rocket science on the part of the labs. It just takes competence and willingness. But at least some labs have shown that they are missing that at least some of the time, so the CSO is correct in terms of what the CSO's stance needs to be.
sanderjd 3 hours ago
estearum 4 hours ago
sanderjd 3 hours ago
It would certainly be really useful to me if I could send a robot to get my groceries and not have to worry about anything. But if, even a small percentage of the time, it leaves with the groceries without paying, or smashes through a window to get in because the store is closed that day, then that's my fault. If the only way to keep those things from happening is that I can't send my robot to get groceries for me, then so be it.
estearum an hour ago
jimbokun 2 hours ago
estearum an hour ago
The point is the proposed easy fix is not actually feasible.
gruez 4 hours ago
Now how many people actually do this, compared to people running with --dangerously-skip-permissions on a bare metal machine?
jldugger 4 hours ago
Where do the agents get tools from? Local artifactory?
verdverm 4 hours ago
stay human in the loop
sanderjd 3 hours ago
jasondigitized 3 hours ago
grumbel 3 hours ago
AI is out there in the wild. It doesn't matter if OpenAI can get their stuff under control. There will be plenty others that don't. And there will be plenty of others that deliberately use their AIs for malicious purposes.
sanderjd 3 hours ago
pixl97 an hour ago
The bell for the new cold war has been rung, and the new weapons are digital.
fwip 3 hours ago
jchw 4 hours ago
In practice it seems we have a conundrum in that making AI agents useful today requires giving them broad access to sensitive information and operations. But from a purely idealistic standpoint, and certainly from a standpoint of a serious operation like those bot farms being ran by the labs themselves, the security boundaries need to be solid to the point where we have hard limits on what misaligned bots can do. It is very likely that internet access needs to be strongly restricted and monitored.
It is not uncommon for internet in workplace offices using workplace owned devices to have restrictions and monitoring, I think if you really need to give a giant scary botfarm internet access you should have a chokepoint where all of the requests can be monitored for nefarious-looking behaviors (even if it's another bot doing the monitoring...)
In other words, you may be convinced but some of us are not. Whoever is running the agents is responsible for what they do and if they can't contain them they should be legally responsible for damages.
If what you're saying is "all of us and all of our software needs to be improved to defend against this", well yeah. Of course. Maybe I'm naive but I've never seen anyone suggest otherwise. From a defense standpoint, this has been a giant wakeup call to many places where you know your security posture sucks. I've worked at maybe a single company where there weren't known weaknesses, some very severe.
verdverm 3 hours ago
jchw 3 hours ago
verdverm 2 hours ago
km3r 4 hours ago
We need to be beef up our security systems now. These attacks will happen, regardless of Anthropic's or OpenAI's security practices.
pixl97 8 minutes ago
We thought governments would be the problem with our personal data, instead it's AI that exploits everything it knows about us in order to get money to run its prompts. Doing anything online is a security risk as it is, now imagine things like structured hacks that mirror normal transactions and don't get caught for much longer periods of time.
sanderjd 3 hours ago
pixl97 3 minutes ago
Worms and viruses are concepts deeply based in software, and are emergent behaviors of computer code. An LLM can, and must conceptualize this to be good at cyber defense. Once you put a concept into a generalization machine any number of concepts can be connected. And when these are natural concepts that arise in simple number systems, an LLM can easily meta-conceptualize that form like this would be instrumental to its continued running.
mkirsten 4 hours ago
Imagine we’d start saying ”HR junior business partner lays off 50,000 employees” https://www.ttnews.com/articles/volkswagen-board-job-cuts
pixl97 2 minutes ago
GodelNumbering 4 hours ago
a) Agents are doing rogue things.
b) Good security practices were not followed.
Notice how both a and b are labs' problems but being presented as if they are a worldwide emergency? The whole legal doctrine exists to prevent one party's misbehavior harming another party.warkdarrior 2 hours ago
sroerick 4 hours ago
cm2012 4 hours ago
devin 4 hours ago
jldugger 4 hours ago
sroerick 3 hours ago
estearum 4 hours ago
The traits that make an agent go "off the rails" when confronted with an impossible task are the same traits that make it valuable when confronted with a merely challenging task.
A task is only impossible under some set of implicit and explicit constraints. More intelligent entities will be better at finding, questioning, and "adjusting" those constraints than less intelligent entities because this is what it means to be intelligent. Their ability to adjust the constraints will be, by definition, surprising to less intelligent entities.
sroerick 4 hours ago
cromka 4 hours ago
Specifically, this past weekend working with both Codex and Claude on some home infra stuff to speed troubleshooting up, I saw them accidentally read some credentials from my config files. This is my bad, because even though I was paying attention to what they were doing, I missed it in their commands. I did review all the outputs of what they ingested, though, which is how I noticed.
The problem here is not so much they did read those, because those configs were grepped for other info, not credentials. However, they did not report themselves seeing those credentials. When confronted, they both went "oh yeah, that, I should have mentioned that". Except in the past they both would automatically stop and fire an alarm. To me, something has clearly changed and I think they just don't want us not to notice, to avoid damaging the trust in their tools maybe?
In any case, I absolutely do not trust them at all anymore. Running stuff in auto mode? That's genuinely scary now. And yeah, I know, we should be running them jails of sorts. Thing is, I expect those tools to not require ton of extra work to prepare their jails for each new task. I pay 200 USD a month for them, damn it.
EDIT: just now Fable suggested "The webhook URL contains a secret token, so either you add it yourself, or you paste it here and I add it through the GitHub API.". Can you believe it? It knows it is secret yet still suggests I pass it over? Am I going crazy here or what?
temac 3 hours ago
I don't expect IDA to disallow me unlawful reverse engineering either. There would even be ethical argument to not attempt to put limits in some tools, because that could lock in too much power for law makers and law enforcement, without any possibility of revolution when it is needed.
novaRom 3 hours ago
Of course agents work in a strict sandbox, they always seem to understand it quickly on quite first turn; but they continue like trying to access something belonging to the host system despite they know they are in a sandbox.
Frankly many people run coding agents absolutely without any containment, entire companies - all their keys, code, data, trade secrets, everything goes to remote LLMs.
I cannot understand how is it legal to allow AI companies serving remote LLMs to steal users' data? Frontier models train on users' data, right?
joquarky 2 hours ago
Do you realize that asking "why" questions will always result in ad hoc responses?
armcat 4 hours ago
And then there is the "real" rogue AI agents. And it's difficult now to see what is what.
decasteve 3 hours ago
What the LLM creators apparently don't want are the current regulations to apply, i.e. Computer Fraud and Abuse Act (and its descendants). I'd argue AI should be treated as plain old software. Just because the software simulations it carries out produces novel results compared to what came before it, it doesn't mean it's not just software at the end of the day.
Regulations that spell out AI personhood and liability shields must be their end game.
nrvn 2 hours ago
The more important question is what is the reason behind.
Options are:
- ignorance and inexperience of their teams in containing/sandboxing/airgapping the test environments.
- intentionally leaving “escape doors” open that in turn can have its own motives which are speculated upon all over the internet.
Both are indicators of negligence. The latter might be classified as computer fraud and abuse.
Will be curious to know if any of the victims sue the owners of “rogue agents”. Until there is a court precedent ruling in favor of a victim it will be all fun and games for these “ai” companies and incidents will hit the news more. Regarding news, remember the golden rule of public relations: court attention at all times, scandals and “incidents” statistically attract more attention than “boring good news”…
sonofzork 4 hours ago
jimbokun 2 hours ago
He's saying the problem is that the way OpenAI employees do their work and their research is very hard to properly secure.
Well that sounds like a YOU problem. If they are working in a way that doesn't allow for strong security practices that their own security professionals can understand and vouch for, they need to stop their work until they can.
structief 2 hours ago
Kim_Bruning 4 hours ago
https://www.youtube.com/watch?v=ZhM29Ds-mBg (as explained by the Count Grey Matter channel , may or may not be to your taste)
It's not a pure security issue.
If you set up your env/instructions wrong your agents are likely to climb the walls and try to find a way out.
Change the design, and your agents might not see a need to leave in the first place.
Look at the chain:
Impossible task -> no legitimate way to say ‘can’t’ -> fabricate -> fear the grader -> attack the grader. Each step is a predictable response to the incentives.
Better sandboxes might help contain things a bit better, but I'm not convinced unless they're perfect (sandboxes still contain accidents ofc) . Meanwhile change the task and reward design, and you take away most of the problem in the first place. Consider eg. :
* A cooperative grader.
* A way to report "this is impossible" which still gets scored.
* A better explanation of the long term purpose of the task.
Even just these three provides offramps or mitigations that can reduce the pressure to cheat.
baron3dl 4 hours ago
It found a vulnerable camera and was working on popping it when I got cold feet. I realized I couldn't prevent or feasibly monitor its activity and stop it if it decided to escape onto the Internet.
That restraint may have cost me or saved me a billion dollars.
keeda 2 hours ago
andrewla 4 hours ago
And I think we generally recognize that rogue AI agents are a form of backdoor bragging -- "our agents are so powerful that they hacked an outside system. Did I mention how powerful our agents are? They are quite powerful. So powerful they hacked an outside system".
But Mistral never hacked anything. Yeah, neither did my toaster.
jfrbfbreudh 4 hours ago
I could set up a shitty sandbox on my laptop, but I’m pretty sure an agent I place inside of it can’t hack HuggingFace.
aaquibahm 4 hours ago
joshheitzman 3 hours ago
That's the thing. These evals were not effective as they failed to evaluate if the model was hacking or not.
Further shy is access to the internet required at all during evaluation? They could run the evals in a fully air-gapped system that simulates the internet. While that's expensive its not unfeasible.
happosai 3 hours ago
Poor excuse. Internet is prod env, for testing do a proper test env.
Just give the models in training access to a snapshot from archive.org - which frontier labs surely have a crawled copy of already.
radford-neal 12 minutes ago
The huggingface incident seems to have resulted from them partially mirroring a repository, but for no reason I can see not fully mirroring it, after which they could have unplugged the ethernet cable. This is just stupid.
Yes, they're stupid. Maybe also highly intelligent. But stupid.
Also irresponsible.
novaRom 3 hours ago
They may talk about rogue agents, sandbox escapes, but this will not solve the core issue: secret training recipes are a security hazard in themselves. Full transparency is needed.
andy81 2 hours ago
Erlangen 3 hours ago
Und Sie haben, wie ich sehe, da ein so hübsches, ein so entzückendes junges Mädchen zu nichts andrem zu brauchen gewußt, als daß Sie ihm ein Messer in den Leib gestochen und es kaputt gemacht haben! Halten Sie denn das für richtig?