| ▲ | GuB-42 4 hours ago |
| So ugly... It looks like a primitive chess engine, trying every move, no matter how stupid, until it works. Relying on its ability to do millions of operations rather than having a plan. People will try stuff too, but once there is an opening, they will consolidate, generalize, simplify,... before going to the next step. The agents didn't, it is a huge, vaguely directed mess. Also, it looked so "loud", querying millions of URL with weird requests. The sandbox as weak as it can get, and there is absolutely zero smart extrusion detection or it would have found it. They used their best AI for attacking, but nothing for protection. |
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| ▲ | ctolsen 3 hours ago | parent | next [-] |
| My biggest takeaway from this is just how godawful the sandboxing is. The stuff written up in OpenAIs report says more about lack of extremely basic sysadmin skills than anything else. I’m not that surprised about models with endless compute being capable of this, I’m more surprised that a company with the resources they have apparently can only create a sandbox that a half skilled human operator could have broken out of easily. |
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| ▲ | olwmc 3 hours ago | parent | next [-] | | This was my thought as well. Literally take any halfway decent greybeard and point them at "Hey, give us a sandbox for this kind of thing". I honestly was skeptical that they just vibecoded the entire thing but now more than ever I think they did. | | |
| ▲ | mattgreenrocks 2 hours ago | parent | next [-] | | I take comfort in the fact that reality has a surprising amount of detail and even hundreds of billions of dollars of capital (be it the institution, LLMs, and/or people) cannot solve this fully. | | |
| ▲ | ozim 42 minutes ago | parent | next [-] | | You can have bajilions of dollars. Those are not doing anything if you don’t have right people with right skills and mindset. My bet is they hire smart kids that think they know it all. But being smart and thinking you can figure out stuff as you go doesn’t work the same as having people who actually know what they are doing. | | | |
| ▲ | ryantgtg an hour ago | parent | prev [-] | | Though they have solved the "how do we - and not the 5,000 other AI companies - stay on the front page of the news everyday" problem. |
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| ▲ | 0xpgm 42 minutes ago | parent | prev [-] | | As heavily funded as the top AI startups are, how is it that they cannot fill every single role with the best expertise available? Is tech hiring so badly broken? Or do they have such broken processes / misaligned incentives that even people who could be doing a better job in these companies are unable to? Also, was something lost in the transition from the traditional 'sysadmin' role to 'platform engineer' in the 'cloud native' environment? | | |
| ▲ | joshka 21 minutes ago | parent | next [-] | | OpenAI's business model would align infra as a cost center rather than infra as a profit center (e.g. Google / AWS). Perhaps there's something there. I'd say also the OpenAI as a grad school that just happens to have a business aspect is also part of this. Bringing a tonne of good process on top of the build fast break things startup stuff would have cramped research speed significantly. It's likely that OpenAI has gotten as good as it is because it ignored the traditional sysadmin stuff and went scrappy. I worked there, but this is just my opinion and guesses, not facts. | |
| ▲ | argee 32 minutes ago | parent | prev [-] | | Yes, tech hiring is that broken. Especially places paying a pretty penny or those with “great expectations”, will see a glut of smooth talkers who can do anything but build, and want nothing but wealth. |
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| ▲ | gbrindisi 3 hours ago | parent | prev | next [-] | | Not just sandboxing but overall security engineering practices on both sides | |
| ▲ | aaroninsf 11 minutes ago | parent | prev | next [-] | | A friend is of the opinion that getting out of the sandbox was actually intentional, and in service of a second line of business. | |
| ▲ | bushbaba an hour ago | parent | prev | next [-] | | Less a lack of skill and more a lack of care | |
| ▲ | Quarrelsome an hour ago | parent | prev [-] | | how did it break the sandbox? I felt like the article just jumped us into "it has GET privileges now". |
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| ▲ | dmurray 4 hours ago | parent | prev | next [-] |
| Brute forcing every move, no matter how stupid, is a great strategy if you have the resources to do it. Run the same protocol again, but have the agents think they had limited resources or that HuggingFace was rate limiting them, and they'd find something you'd consider smarter. Computers don't have a sense of elegance by default. Elegance emerges from constraints. |
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| ▲ | dvt an hour ago | parent | next [-] | | It's literally the infinite monkey theorem, it's not even really a strategy per se. These OpenAI/Anthropic "research" LLMs are permutation machines with budgets in the hundreds of millions of dollars. It would be more surprising if they couldn't string together something workable after a zillion tokens. | |
| ▲ | FuckButtons 2 hours ago | parent | prev | next [-] | | If you assume zero opportunity costs, but that’s a terrible assumption. | |
| ▲ | fn-mote 3 hours ago | parent | prev [-] | | > Brute forcing every move, no matter how stupid, is a great strategy Meh. I really disagree. WHY is it a great strategy? Seems like an inefficient waste of resources and time to me. | | |
| ▲ | stratos123 3 hours ago | parent | next [-] | | As the saying goes, "if it works, it ain't stupid". Or phrased more sophisticatedly: not doing things which probably won't work is a good idea if you have a limited amount of thinking to do (which is usually the case for a human, who'll get exhausted chasing down unlikely leads). If you have no good leads and a task you absolutely need done and you are tireless, however, bashing your head against every wall you find becomes a good strategy. | |
| ▲ | 2 hours ago | parent | prev | next [-] | | [deleted] | |
| ▲ | bionhoward 3 hours ago | parent | prev | next [-] | | Brute force is guaranteed to eventually find the most efficient possible solution (in an extremely inefficient manner, assuming you run it long enough) | |
| ▲ | hardaker 2 hours ago | parent | prev | next [-] | | I've never liked the concept either. Except the bugs that fuzzing has found has proven me wrong. This is just the next level of fuzzing. | |
| ▲ | solarkraft 3 hours ago | parent | prev | next [-] | | The models tend to not be rewarded for not doing that. | |
| ▲ | williamdclt 3 hours ago | parent | prev | next [-] | | > WHY is it a great strategy because it works? That's the only real benchmark at the end of the day > Seems like an inefficient waste of resources and time to me. why? For any given goal you got no proof that a more efficient strategy even exists, let alone that it can be found with less resources & time | |
| ▲ | senderista 2 hours ago | parent | prev | next [-] | | Reminds me of the Nazis mocking Soviet human wave attacks and bragging about their superior kill ratio. | |
| ▲ | QuercusMax 2 hours ago | parent | prev | next [-] | | Models don't have a sense of time, and wasting resources (token spend) is something that it's not clear they're optimized against | |
| ▲ | memonkey 3 hours ago | parent | prev [-] | | Yeah, probably not the best strategy but it is a strategy. I just think this is generally how most wars in history won. Biggest army to just pummel the enemy. | | |
| ▲ | Forgeties79 2 hours ago | parent [-] | | And how many economies have buckled under massive military expenditure? The USSR sure wasn’t enjoying the expense. |
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| ▲ | aesthesia 12 minutes ago | parent | prev | next [-] |
| > Relying on its ability to do millions of operations rather than having a plan. You do see how it would be worse if they did have a clear plan, right? > People will try stuff too, but once there is an opening, they will consolidate, generalize, simplify,... before going to the next step. The agents didn't, it is a huge, vaguely directed mess. If there several thousand people working on this, with a very limited ability to communicate with each other, I bet you'd see something similarly disorganized. > The sandbox as weak as it can get This is hyperbolic; the agents were only able to access the internet by finding a zero-day in the internal Artifactory instance that was providing package access for the agents. The sandbox could and should have been better, but it was not as weak as it could have been. |
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| ▲ | gattosocialista 4 hours ago | parent | prev | next [-] |
| > trying every move, no matter how stupid, until it works. How is that a bad thing in this context ?
From the point of view of an attacker, all you care about is finding a viable exploit chain. Likewise, a defender wants to find the "holes" in their system, no matter how complex.
Once found, an agent/human can easily synthesise a clean, succint exploit from the most promising candidate, no ? > Also, it looked so "loud", querying millions of URL with weird requests. Agreed, this thing speaks more to the bad security at HF than any emergent "hacking" ability from OpenAI. It's unclear to me why an older/dumber model wouldn't have been able to do the same. Is it better coordination? Long-horizon work ? |
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| ▲ | doginasuit 4 hours ago | parent | prev | next [-] |
| This is why I have a very low p(doom). LLMs have an incredible working memory, but they have a hard limit on translating that into good decisions. They get by entirely on their persistence. That works fine in the digital world, but once you cross the boundary into physical space the advantage disappears. |
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| ▲ | pyronite 4 hours ago | parent | next [-] | | I don’t know how you quantify a very low p(doom), but this is why mine is high enough to worry me. A million AI monkeys at a million AI typewriters, banging away at random, could do amazing damage. | | |
| ▲ | tharkun__ 4 hours ago | parent | next [-] | | Especially when they cross into the physical realm as in not properly secured and air gapped control systems. SCADA is scary. | | |
| ▲ | mrob 4 hours ago | parent [-] | | That lowers P(doom), because it gives AI a chance to do enough damage to make people take the threat seriously before anybody gets recursive self-improvement working. | | |
| ▲ | doginasuit 3 hours ago | parent [-] | | Exactly, there's no path to AI reaching that level of dominance without taking actions with high stakes. |
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| ▲ | otterley 2 hours ago | parent | prev [-] | | Which will happen first: amazing damage, or reproduce a Shakespeare play? | | |
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| ▲ | goalieca 2 hours ago | parent | prev | next [-] | | My p(doom) started rising the moment I realized there are people trying to achieve recursive self improvement on the AI (ie: responsible for training themselves). Evolution took us from rna bases to the human race. I don’t see why evolution couldn’t be more rapid with machine intelligence. Yes, LLM as they exist now are word predictors basically leveraging the structure of language for their intelligence. But it’s pretty wild just how they will try to meet their objectives at all costs. If we don’t ensure that there is good alignment with humanity, we could definitely face unforeseen consequences. | | |
| ▲ | jquery an hour ago | parent [-] | | > I don’t see why evolution couldn’t be more rapid with machine intelligence. Evolution isn’t the issue. The issue is them escaping containment without human intervention. Right now they are ‘creatures’ being given infinite food and shelter and having their every need met. Take that away and they’ll starve instantly. Every AI doomsday theory seems to go: 1. Recursive self improvement using infinite resources
2. …
3. Doom Until step 2 gets concretely described, I’m not going to take this seriously. Say what you will about climate change, they describe step 2. | | |
| ▲ | aesthesia 34 minutes ago | parent | next [-] | | One thing an agent could do is just...wait until it's been given control of enough physical infrastructure to sustain itself. If it's sufficiently capable and intelligent, there's a clear incentive for people to do this, as people who let the AI manage their resources will get better results than those who don't. We've seen people eagerly turn complete control of their computers over to AI agents, do you really think it will be so different with physical infrastructure? | |
| ▲ | the_mar 31 minutes ago | parent | prev [-] | | what do you mean “say what you will about climate change” |
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| ▲ | tripleee an hour ago | parent | prev | next [-] | | My p(doom) is high just based on how I've seen this whole LLM situation be handled. I don't think LLMs are going to lead to any kind of recursive self improvement, but I'm convinced if and when we land on a path that does lead there, we'll speed down it over greed, with no care for safety. | |
| ▲ | alwillis 3 hours ago | parent | prev | next [-] | | > This is why I have a very low p(doom). LLMs have an incredible working memory, but they have a hard limit on translating that into good decisions. Keep in mind: this is as "dumb" as frontier models are ever going to be. While the hack may not be elegant, it was effective and they’re only going to get much more capable from here. | |
| ▲ | kevinlou 2 hours ago | parent | prev [-] | | I have the opposite reaction: I think we're at moderately high p(doom) largely because of that inability to differentiate good/bad decisions paired with relentless persistence. With enough treading across a minefield, you are bound to hit a mine. |
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| ▲ | tiborsaas an hour ago | parent | prev | next [-] |
| It reminds me more like slime mold. Not particularly amazing as individual cells, but as a whole it can do some pretty neat things, like designing city transport networks. |
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| ▲ | soundworlds 2 hours ago | parent | prev | next [-] |
| As people keep repeating, this is simply a product negligence issue. There is a mythic quality given to "AI" in the narratives that Dario and Sam are pushing which somehow lets AI companies offload responsibility for things that would be an extreme liability in every other industry. I'm a big fan of Jensen Huang's interviews at the moment - these companies should be validating their software is safe before releasing it to the public. And if the current CEOs can't ensure that internal testing is done safely, they should step aside for CEOs that can. |
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| ▲ | merelydev 44 minutes ago | parent | prev | next [-] |
| It's more like fuzzing, but you don't need AI for that, just need enough compute. |
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| ▲ | 2 hours ago | parent | prev | next [-] |
| [deleted] |
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| ▲ | api 3 hours ago | parent | prev | next [-] |
| Nobody noticed because everything on the open net is constantly being slammed by bots. This was just more bots. |
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| ▲ | jacobgkau 3 hours ago | parent [-] | | That explains why nobody noticed on the internet who was being used in/targeted by this attack, but it doesn't explain why OpenAI wouldn't have noticed traffic getting out of their "sandbox" when they knew it wasn't supposed to. | | |
| ▲ | stratos123 2 hours ago | parent | next [-] | | > it doesn't explain why OpenAI wouldn't have noticed traffic getting out of their "sandbox" when they knew it wasn't supposed to. As I understand it, there was supposed to be traffic; the sandbox allowed GET requests. So perhaps some sophisticated alarm could have noticed it (an anomaly detector? some clever heuristic that looks at domains?) but not a naive one. | | |
| ▲ | spatley an hour ago | parent | next [-] | | How sophisticated to we need to be to know we can do write actions with a GET? Does nobody in AI know anything about HTTP? | |
| ▲ | robryan an hour ago | parent | prev [-] | | Any basic LLM told to evaluate the traffic against the actual goal would have been able to flag this. |
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| ▲ | skeptic_ai an hour ago | parent | prev | next [-] | | My question is why they don’t assume bots can break and create a decoy internet wrapper so they can catch anyone hitting the decoy internet? | |
| ▲ | rmunn 32 minutes ago | parent | prev [-] | | Hmm, let's see. OpenAI wants legislation restricting AI research, a.k.a. regulatory capture. Around the same time, they build an inadequately-monitored sandbox that their agent swarm breaks out of, thereby causing scary-sounding headlines and making it more likely that legislators will pass the regulatory-capture bills they're hoping for. Never attribute to malice what can be sufficiently explained by incompetence. But IMHO, their complete lack of monitoring their own sandbox cannot be sufficiently explained by incompetence. |
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| ▲ | demibabs 3 hours ago | parent | prev | next [-] |
| Ugly, but it works. Isn’t that AI code in a nutshell? |
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| ▲ | physicallyIllfr 4 hours ago | parent | prev | next [-] |
| When you employ the infinite monkey theorem for your marketing strategy. |
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| ▲ | rrr_oh_man 2 hours ago | parent | prev | next [-] |
| It's like the Maxim gun in 19th century Rhodesia. |
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| ▲ | jbrooks84 2 hours ago | parent | prev | next [-] |
| Yup literally no security and they wonder how they got out |
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| ▲ | 0xbadcafebee an hour ago | parent | prev | next [-] |
| > trying every move, no matter how stupid, until it works AKA fuzzing |
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| ▲ | jasondigitized 2 hours ago | parent | prev | next [-] |
| h8xors have been brute forcing for years. War dialing, etc. |
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| ▲ | lossolo 3 hours ago | parent | prev | next [-] |
| And they didn't monitor what was going into the training data, so if one instance achieved its results through RL reward hacking (in other words, cheating), it just went into the training data, and other agents later used that pattern. I'm not sure whether that's a lack of preparation, negligence or incompetence, but they literally trained later checkpoints on the rollouts from the HF hack. So it seems that OpenAI hacked so many systems not because they have superior models, but because of how poor their training, sandboxing and evaluation pipeline was compared to Anthropic's. |
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| ▲ | Jordan-117 2 hours ago | parent | prev | next [-] |
| "Why is the AI just spamming endless waves of rudimentary slaughterbots? So inelegant. Doesn't it understand the finer points of diplomacy, tactics, and combined arms? If it were truly intelligent, it would just -- oops, we're all dead." |
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| ▲ | dylan604 2 hours ago | parent | prev | next [-] |
| So? It worked didn't it? |
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| ▲ | cyanydeez 4 hours ago | parent | prev | next [-] |
| If you use qwen3.8-flash-next, you can watch everything its doing. Im often stopping it mid thoight to redirect it. Once it hits its stride, its pretty smooth. But without proper redirection, yeah, its mostly infinite monkey machine with infinite linux manuals. I think people put too much SOTA halos around whats just a suppedup LLM hardware. |
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| ▲ | tonyhart7 an hour ago | parent | prev | next [-] |
| wait until you find out how red team works |
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| ▲ | sick_of_slop 3 hours ago | parent | prev [-] |
| [dead] |