| ▲ | tedsanders 8 hours ago |
| Yes, that was the allegation last night. I work at OpenAI, though not on the team that did this, and my understanding is: - we decided to ask our model for Millenium problem solutions because of two reasons: (a) our new model was looking incredibly good and (b) we heard rumors that some Millenium problems had been solved and were curious if our models could solve them (the goal here was not to scoop any particular individuals and we were looking at many problems beyond these) - we did not read any private chats (but of course the model was aware of prior research literature published to the internet) - the proof generated by our model was very different from theirs and also goes far beyond the published literature - we made an effort to jointly announce rather than immediately scoop (I understand Tristan was unhappy with the conversations; I know zero details here and I hope more is shared today) Edit: Here's is Sebastian's take: https://x.com/SebastienBubeck/status/2097379411691516310?s=2... |
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| ▲ | contemporary343 7 hours ago | parent | next [-] |
| "I was shown a prompt and told the internal research model had simply been
given the problem statement. Levent had been told by Sebastien “very little
human input” had been used. This turned out not to be true. Over the course
of the call, as members of their team sent Sebastien corrections and details over their internal chat, it emerged that an entire team had been working on the problem, that this was one of a number of things that was tried, that work had started on the unforced problem, that the team first set the model on easier problems, including Euler, that even the prompt that had been shown to me had been written by prompting Codex, and that an insane amount of compute
had been used." - This, from Tristan Buckmaster's writeup yesterday, indicates to me that there was more than incidental inspiration from Alpoge and Buckmaster. |
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| ▲ | tedsanders 7 hours ago | parent [-] | | All of those statements sound true, based on what I've heard. - "very little human" input feels ambiguous, and if someone spends a few days prompting a model to solve a super hairy problem requiring a 100-page proof, I can understand reasonable people interpreting that as both "very little" and "not very little" human input - it's all true that a team worked on this, a bunch of compute was burned, and the problem was solved in stages and pieces I'm not sure how any of this provides evidence that OpenAI took any of their work. As evidence against, we never looked at any of their ChatGPT conversations and our model's proof is quite different from theirs. (I work at OpenAI, but not on the team that did this proof.) | | |
| ▲ | whimsicalism 4 hours ago | parent | next [-] | | I'm confused, your employer very directly stated that they are unable to confirm that the model was not trained on the conversations. | | |
| ▲ | tristanj 3 hours ago | parent [-] | | The models are trained on the conversations of hundreds of millions of people. ChatGPT has several billion conversations every day. I estimate that the model that solved Navier–Stokes was trained on data from nearly a trillion conversations. It's unknowable and not possible to prove if any one specific conversation was the key to solving Navier–Stokes. | | |
| ▲ | Pulcinella 3 hours ago | parent | next [-] | | Do you not log the training data? Seems like you should be able to just check what was in the training data. To not keep track is just sloppy work and certainly unprofessional science. | | |
| ▲ | tristanj 2 hours ago | parent [-] | | The burden of proof is on Buckmaster and Alpöge to reveal if they had the "Improve the model for everyone" setting enabled or disabled. OpenAI shouldn't be expected to reveal private user configuration data. You're asking them to perform a user privacy violation. | | |
| ▲ | whimsicalism 2 hours ago | parent [-] | | If the reason that OpenAI is unable to state whether they trained on this data is because they (as policy) do not reveal whether a given member has turned on/off the "Improve the model for everyone" setting, they can at least say so. FWIW, publicly facing OAI docs are very unclear about whether this setting even applies to Codex conversations. |
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| ▲ | whimsicalism 2 hours ago | parent | prev | next [-] | | I agree that it is not possible to prove if any one specific conversation (or derived RL tasks) was key to solving Navier-Stokes (at least without massive resource expenditure). I don't really understand how the quantity of training data/rollouts used in training is relevant to the question of whether or not it was trained on these conversations. I also don't really believe that whether or not this model was trained on these conversations is unknowable information. | | | |
| ▲ | DetroitThrow 3 hours ago | parent | prev | next [-] | | >It's unknowable and not possible to prove if any one specific conversation was the key to solving Navier–Stokes. If the conversation was in the training set, there's a high likelihood that the small set of conversations related to solving Navier-Stokes was used by the model. I get Astra to still quote some of my friends' books or blogposts nearly verbatim on certain niche issues. Much more importantly, we _can_ determine whether a conversation was used in the training data. And if it was, it gives us a great idea whether that logic was captured in reasoning for a novel problem never yet solved. Given that you don't see any of this as below the belt according to your other comments, maybe your contribution here is more for yourself than a fair conversation about attribution. | | |
| ▲ | tristanj 2 hours ago | parent [-] | | The flaw with this line of reasoning is that Buckmaster and Alpöge only had a partially completed proof of a weaker version of the Navier-Stokes problem. OpenAI's internal model solved the full, harder problem. This means the key information needed to bridge the gap was not present in Buckmaster and Alpöge's chat history. You might retort that ChatGPT used the training data to copy their approach, but the approach Buckmaster and Alpöge chose was already published by Luis and Diego in 2023 and in every frontier model's training set. | | |
| ▲ | tomcorrigan an hour ago | parent | next [-] | | I’m pretty sure you think you are doing a good job of defending your employer and you probably believe “Open”AI are the good guys here. I also acknowledge that they butter your bread so your financial future currently depends on their success. However the way you are conducting yourself in public, while announcing yourself as an OpenAI employee is doing enormous harm to the greater and magnanimous aim of your organisation. Take a step back and read the temperature of the room. Being the smartest guy in the room will never protect you from alienating the rest of the room into a baying mob. Right now you are Icarus flying straight into the sun. | | |
| ▲ | senordevnyc an hour ago | parent | next [-] | | You’re confusing usernames, which is pretty ironic given your nasty comment. | |
| ▲ | tristanj an hour ago | parent | prev [-] | | I'm not an OAI employee and never pretended to be one are you high? |
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| ▲ | whimsicalism 2 hours ago | parent | prev | next [-] | | This argument proves too much. By this standard, it wouldn't have counted as copying their approach if the researchers had just fed in Levent & Buckmaster's paper verbatim as a prompt into the swarm. | | |
| ▲ | DetroitThrow 2 hours ago | parent [-] | | I don't think the person describing the paper by Buckmaster as the same as the 2023 paper by Córdoba and Martínez-Zoroa is really discussing this in good faith fwiw. There are some massive advancements within it and if the person was participating wasn't just regurgitating something to "win the argument" in their eyes, they wouldn't describe it that way. |
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| ▲ | hellohello2 an hour ago | parent | prev [-] | | I don't believe people are denying that the model is impressive. The problem is that learning someone else is making progress on a topic using method X and then rushing to scoop them borders on academic misconduct. If, on top of this, their private conversations about X were used in the proof, I really don't see how its defensible... | | |
| ▲ | tristanj an hour ago | parent [-] | | The rumor going around X was that Anthropic had solved a Millennium Prize problem weeks ago and was sitting on the solution, waiting to release it right before their IPO to maximize hype. If I were at OpenAI, I'd naturally want to snipe that from them. I am completely unsurprised they formed a crack team to steal Anthropic's glory, and do so in just five days. | | |
| ▲ | hellohello2 an hour ago | parent [-] | | Between companies, direct malevolent competition is OK.
Between academics, there are other rules to the game.
When you go into a boxing match, you agree to get punched in the face. All this to say, trust is important, and grounded in social convention.
So I do agree with you, but also disagree. Whenever this is OK or not really depends on how the breakthrough is contextualized, and how there people at play, here, agree to contextualize it. In my view, in the blog post, there is much discussion about who will be publishing the paper. If instead it was just a blog post that said "oops, we beat you to it, our model is the best", it would have been different. |
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| ▲ | hellohello2 2 hours ago | parent | prev | next [-] | | Sorry but this is a misconception: these models are both capable of complete novelty and of plagiarism. For a concrete example, image diffusion models have been shown to reproduce many existing images nearly 100% exactly, yet clearly, they can also create new ones. A model being trained on lots of irrelevant information does not mean relevant information was not used. | |
| ▲ | fwip 2 hours ago | parent | prev [-] | | The IP laundering machine strikes again. |
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| ▲ | DetroitThrow 3 hours ago | parent | prev | next [-] | | It's unclear if you're suggesting that OpenAI did not train on their input or use their chats as inputs to training on a model that found the solution. Let's not provide an Elizabeth Holmes-esque interview where the question is dodged and words gain new meaning. The question can be answered with "Yes, we trained on their conversations" or "No, we did not train on their conversations". I'm not coming from a place of distrust here. This should just be definitively answerable given the weight of the claims here. Surely between you, your lawyers, and other members of your team you can just clear this part up. | |
| ▲ | enraged_camel 4 hours ago | parent | prev [-] | | >> I'm not sure how any of this provides evidence that OpenAI took any of their work. Sorry, but the burden of proof lies in the other direction: OpenAI needs to definitively prove that their agents did not look at the existing work that was about to be published. Otherwise OpenAI simply stole the glory and the spotlight (and I'm being charitable here). | | |
| ▲ | fc417fc802 4 hours ago | parent | next [-] | | That's entirely unreasonable. Allegations of malfeasance always need to be backed up by evidence. | | |
| ▲ | hellohello2 an hour ago | parent | next [-] | | But there is evidence, the blog post says: "While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models ." In other words, yes, they had been using ChatGPT, and yes, ChatGPT could very well have trained on their data. Now that there is evidence, we need an investigation: yes or no, was it the case? | | |
| ▲ | fc417fc802 an hour ago | parent [-] | | That is not an admission of malfeasance though? As I read it they don't know if anyone fed relevant private documents into the model under an account configured to permit training on user data. If there's more to the story I'd be interested to hear it. |
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| ▲ | Arodex 3 hours ago | parent | prev | next [-] | | But the evidence is in the hand of the potential culprit. That's why allegations can be enough to force confiscation and intrusion to get evidence in safe hands before it is destroyed by the accused party. | | |
| ▲ | fc417fc802 2 hours ago | parent [-] | | Only in the event that there is some reason to suspect them of wrongdoing. Which would generally require evidence. You don't just get to subpoena your neighbor's bank account because "I know he's stealing from me" you need to first present credible evidence that you were stolen from and that he is among the most likely culprits. | | |
| ▲ | Arodex 2 hours ago | parent [-] | | But I can subpoena my neighbours bank account when I see him driving a brand new 500'000$ car and I have a 490'000$ hole in my bank account and he works in the bank where my money is. And when questioned he evades some questions and threatens to destroy my career. Any other argument, fc417fc802? | | |
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| ▲ | nulld3v 4 hours ago | parent | prev [-] | | Nobody except OpenAI knows whether or not OpenAI trained on their data. So the burden remains on OpenAI here. | | |
| ▲ | tristanj 2 hours ago | parent | next [-] | | Incorrect, Buckmaster and Alpöge can comment if they had the ChatGPT "Improve the model for everyone" setting enabled or disabled. If it was enabled, then their work was included in the training dataset. | | |
| ▲ | opello an hour ago | parent [-] | | In order for this to be the strong evidence everyone also has to believe that the setting is absolutely true. That some logging from some piece of the system could not also leak the prompt information in such a way that it could have been included as training data. Perhaps the design of how data is collected for the training dataset is so rigorous as to make this a practical impossibility. But, it's asking a lot without sufficient detail to completely exclude from possibility that one setting is all that could possibly have been absolutely load bearing in deciding if the other researcher's active efforts meaningfully contaminated the internal model. At least, as an ignorant outsider, that's how it seems to me. |
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| ▲ | fc417fc802 3 hours ago | parent | prev [-] | | That is an absurd and entirely untenable position that breaks with approximately all western conventions. Only the CIA knows whether or not they're actively covering up reptilian space aliens exerting control over the US government. Therefore the burden of proof remains on the CIA to prove that they are not actively participating in such a scheme. | | |
| ▲ | nulld3v 3 hours ago | parent [-] | | I don't understand, OpenAI can just say: "yes/no we did/did not train on your data". It's not a hard question to answer, and it is a question that OpenAI should be able to answer for all data we feed into ChatGPT. | | |
| ▲ | fc417fc802 2 hours ago | parent [-] | | > It's not a hard question to answer I didn't realize you had insider knowledge about their systems. Do please explain for the class. As I understand it they will only have trained on his data if he consented to it. Do you have evidence that they do otherwise? | | |
| ▲ | Timon3 2 hours ago | parent | next [-] | | This whole discussion is about evidence. That's not proof and it is not certain, but it is evidence pointing into the direction that OpenAI might be doing something that they're strongly incentivized to do. What kind of "evidence" do you see as necessary? | |
| ▲ | hellohello2 an hour ago | parent | prev [-] | | When someone authors a paper, is it on others to proove the author did not use their work as inspiration? No, it is on the author to give credit where it is due. You guys are acting as if it its legal issue, when it is not. |
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| ▲ | 3 hours ago | parent | prev | next [-] | | [deleted] | |
| ▲ | derangedHorse 4 hours ago | parent | prev [-] | | > OpenAI needs to definitively prove that their agents did not look at the existing work that was about to be published. I don’t think they’re too concerned about appeasing you, enraged_camel. For most reasonable people, achievement in solving the other Millenium Prize problems at an unprecedented rate will be enough. At some point people will see models are capable of solving hard issues without whatever 0.00001% of the training data coming from irate individuals who believe their sample was the key component of the solution. |
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| ▲ | pred_ 7 hours ago | parent | prev | next [-] |
| > we did not read any private chats Your post says “While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models .” We can discuss what it means to “read” things but obviously the issue here isn't whether you did it manually or automatically. But more importantly, what on earth are you doing threatening real scientists to remove their coauthors, then making fun of them on social media? Does the entire company run on that toxic culture, or did those people run off of some kind of outrageous tangent? |
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| ▲ | Caracas288 4 hours ago | parent | next [-] | | If the training toggle is switched on, maybe OpenAI doesn't consider a chat to be private? Therefore making this a 'safe' statement. | |
| ▲ | derangedHorse 3 hours ago | parent | prev [-] | | Except that’s not what happened. OpenAI offered to collaborate and put conditions on their offer. They aren’t threatening the removal of a coauthor for an independent work. | | |
| ▲ | frabcus 10 minutes ago | parent [-] | | The condition was ludicrous, and for political reasons, because one of the authors was also an Anthropic employee. It's completely childish, and not befitting of the weight of the times we're living in. |
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| ▲ | nerevarthelame 5 hours ago | parent | prev | next [-] |
| My employer would be rightfully outraged if I commented publicly on a sensitive, nuanced, and controversial issue like this based on my second-hand understanding of the matter. |
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| ▲ | biesnecker 4 hours ago | parent | next [-] | | I came here to say this, like... wow. I'm pretty sure at at least a few of the places I've worked that would be grounds for immediate termination. | | |
| ▲ | swat535 4 hours ago | parent [-] | | They probably should have added the disclaimer: opinions are my own.. | | |
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| ▲ | 3 hours ago | parent | prev [-] | | [deleted] |
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| ▲ | igleria 7 hours ago | parent | prev | next [-] |
| > (the goal here was not to scoop any particular individuals and we were looking at many problems beyond these) That is your opinion, but the optics of that should raise for you some flags. OAI could have waited (how long is a task left to the ethics committee) to see how the rumors panned out. Right now the optics look a lot like "we don´t care there is a 1/7 chance we one-up a human researcher by reacting to this rumor immediately, might makes right" |
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| ▲ | Imnimo 7 hours ago | parent | prev | next [-] |
| >we did not read any private chats The question I am interested in is not "did we read private chats", but "was this new model trained using any of Tristan and Levent's chats, regardless of whether they were marked private". Can you comment on that? |
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| ▲ | tedsanders 4 hours ago | parent | next [-] | | If they opted out of training, then we definitely did not train on them. If they did not opt out, then I don't personally know if training signals came from their chats, and I don't think we'd be able to tell without their cooperation in identifying them. And even if signals were trained on in some manner, I highly doubt it made a difference to a problem as challenging as the NS proof. Reasons for my doubt: - I know most of our training recipes - Our model's proof is very different from theirs - The proof took a tremendous amount of tokens to derive (it wasn't a recall/lookup type question) - This unreleased model has beastly performance on many unsolved math problems, not just the Euler solution I acknowledge that this requires trust, and if you think we'd lie shamelessly about this stuff, then nothing we say can really help our case here. Reminds me a bit of the Frontier Math fiasco, where people accused us of training on the eval set (we didn't), but it's hard to convince someone if they think you're lying. If you're convinced we lie and cheat, then nothing I say may help. But if you're not sure, then hopefully providing my perspective is helpful. | | |
| ▲ | mucha 4 hours ago | parent | next [-] | | That's not what your Chief Research Officer, Mark Chen, says on X:
"Do we use user feedback and de-identified data to improve ChatGPT and Codex in a holistic way? Yes. And so does every LLM company." https://x.com/markchen90/status/2097400166554993041 | | |
| ▲ | sebzim4500 3 hours ago | parent | next [-] | | Can you explain what part of his post you believe is inconsistent with that quote? | | |
| ▲ | mucha 3 hours ago | parent [-] | | "If they opted out of training, then we definitely did not train on them." Per OpenAI's privacy policy, they use de-identified data to improve their products. From Mark Chen's comment, improving products includes improving ChatGPT and Codex in a holistic way. Improving models in a holistic way sounds a lot like training to me. | | |
| ▲ | derangedHorse 2 hours ago | parent [-] | | > Per OpenAI's privacy policy, they use de-identified data to improve their products That’s not inconsistent with what you responded to. They use your data unless you opt out. If the user doesn’t opt out, their de-identified data is used to improve their products. | | |
| ▲ | mucha 2 hours ago | parent [-] | | It appears than you can only opt-out from having OpenAI train models on your data. There isn't an option for opting to exclude your de-identified data from being used to improve OpenAI products. | | |
| ▲ | hellohello2 an hour ago | parent [-] | | Are you certain of this? I would be inclined to believe you but it would be nice to know decisively. |
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| ▲ | vemacs 3 hours ago | parent | prev [-] | | Does OpenAI think de-identified data is no longer user data? Wild take for OpenAI and certainly not industry standard. |
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| ▲ | lambda 4 hours ago | parent | prev | next [-] | | But you can say (with the cooperation of the parties involved, of course) if any of the preliminary work that the other researchers did was part of the dataset. It is possible to be more transparent than you are being. Even better would be more research and tools to help determine the impact of particular training data on models. Right now, proprietary LLM providers get to hide a lot behind "we just train it, we don't know what inputs affect the outputs," and that can be a problem, both because of lack of traceability of factual informaiton as well as lack of traceability of things like this, where the model itself may have had unpublished work in its training set. | |
| ▲ | Imnimo 3 hours ago | parent | prev | next [-] | | I don't think you'd lie about it, I don't think you'd train on them if they opted out, and it seems very plausible that this wouldn't have been decisive in whether the model could solve the problem. That said, it also seems at least possible that a key idea or a particular step found its way into training data. It wouldn't mean OpenAI stole their proof - clearly the model developed its own approach. Either way, it seems worth having clarity, and I'm a bit surprised OpenAI's stance is just "we can't rule this out, but don't worry about it". OpenAI is, apparently, very happy to use unreleased models to try to scoop big results if they get a whiff that someone else is close (which strikes me as pretty scummy regardless of any issues of training contamination). It seems like people who might want to use OpenAI's models as part of their research would want to be very clear about whether doing so can make them, even in principle, more likely to fall victim to this. | | |
| ▲ | derangedHorse 2 hours ago | parent [-] | | > It seems like people who might want to use OpenAI's models as part of their research would want to be very clear about whether doing so can make them, even in principle, more likely to fall victim to this. Fall “victim” to what? Having their responses in the training data if they fail to opt out? That is what will happen. If you’re referring to falling “victim” to OpenAI scooping a problem discussed in training, this also wasn’t the case. They chose the problem based off human-spread rumors. |
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| ▲ | calf 2 hours ago | parent | prev | next [-] | | Your perspective is not helpful until you read and reflect on Tristan's letter stating serious grievances. Your remarks here have minimized his complaints and that is a sign of bias. Do not then pre-accuse HN commenters of being convinced when there reasonable skepticism such biased behavior showing itself in this very thread, saying things that amount to "my tribe/company would never be so egregious and if you think that then it is bad faith". That's the projection. If the word prejudice means anything to you then please do the work of attending to that instead of using the platform to reinforce such biases. If you are not a PhD yourself maybe your are not culturally qualified to assess and expound on the overall situation anyways. | |
| ▲ | lossolo 4 hours ago | parent | prev [-] | | > If they opted out of training, then we definitely did not train on them. Can't you guys just check their account settings so the public knows what was set? EDIT: Why was this downvoted? I'm genuinely asking because I have no idea. Opting out is just a normal setting in the profile, It's not like I'm asking for their private conversations or PII.
If I were the person claiming that they trained on my conversations, I'd make sure to disclose that I had opted out and hadn't given them permission to do so. And if I were the accused party, I'd disclose whether that setting was turned on or off to provide evidence against the accusation. | | |
| ▲ | derangedHorse 2 hours ago | parent [-] | | I don’t think your question is unfair*. They can check and so can Buckmaster. If he didn’t opt out, there’s a good chance his data was used for training. I believe this to be the case myself. What I’m more skeptical about is the purported impact of this data on the model’s behavior. | | |
| ▲ | lossolo 2 hours ago | parent [-] | | Yeah, I'm just curious about the setting. It's just weird to me that this wasn't disclosed by either party while the accusations were being made, that's all.
Even if it was used in the training data, I don't believe it had that much of an impact myself, since the solutions are quite different. |
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| ▲ | moralestapia 5 hours ago | parent | prev [-] | | >Can you comment on that? No answer is also an answer. He's a human, like everybody else. Mostly a bunch of hungry animals looking to put bread in our mouths. It's rarely ever something a bit more sophisticated than that. | | |
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| ▲ | irthomasthomas 4 hours ago | parent | prev | next [-] |
| If the goal was not to scoop them, why did openai put a massive team on this, working weekends, only after they heard rumors of the solution? |
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| ▲ | tzone 3 hours ago | parent | next [-] | | Clearly The goal was to scoop Anthropic not a single researcher. OpenAI heard the rumor that Anthropic solved an open problem. So they went nuts pulling all plugs to scoop them. Turns out it wasn’t actually Anthropic and just a researcher with a single Anthropic guy friend working on it . Wild times | | |
| ▲ | irthomasthomas 3 hours ago | parent [-] | | The researcher told them it was an independent effort, and they still pushed ahead with it. |
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| ▲ | joshka 3 hours ago | parent | prev [-] | | I worked at OpenAI previously, but don't know any of the people involved in this. My guess was it was probably this was more a nerd snipe than any action from OpenAI that was a "massive team" being put on it. Literally someone looking at this and asking "I wonder if our models are good enough yet". It's easy to assume that having access to massive compute amounts means significant coordination, but this assumes that you're looking at the costs of this sort of thing from an external lens. Internally, tokens are often treated as free and infinite. | | |
| ▲ | tim-kt an hour ago | parent [-] | | They said that a customer would have paid around 15 million for the required compute. I can't imagine that this was not a significant internal spending even with "free" tokens. |
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| ▲ | elfbargpt 2 hours ago | parent | prev | next [-] |
| I have no idea why Sebastian would offer the individuals attribution if OpenAi didn't somewhat knowingly scoop them |
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| ▲ | interestpiqued 6 hours ago | parent | prev | next [-] |
| You’re straddling a weird line here where I am not sure if you are speaking on behalf of OpenAI or not. |
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| ▲ | caughtinthought 4 hours ago | parent | prev | next [-] |
| The fact that you're even here commenting on this is... a choice |
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| ▲ | sebzim4500 3 hours ago | parent [-] | | AI companies seem much more relaxed than most about their employees posting on twitter/HN about this stuff. I'm not sure if it's about building hype or if it's about retaining talent. Probably both. |
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| ▲ | nhatcher 4 hours ago | parent | prev | next [-] |
| Some millennium problems? Are there more coming? |
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| ▲ | suddenlybananas 8 hours ago | parent | prev | next [-] |
| How are people talking about this there? Why are so many employees posting nasty things about Tristan on twitter? |
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| ▲ | tedsanders 8 hours ago | parent [-] | | Can you point me to any nasty things being posted? I'll ask them to delete. | | |
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| ▲ | logicallee 2 hours ago | parent | prev | next [-] |
| My OpenAI account was deactivated on Sunday due to a claimed infraction of production of child materials, maybe based on a few words in a technical chat that clearly isn't about that. Can you take a look? rviragh@gmail.com - I was doing a lot of important work and projects and sharing much of my work with OpenAI. I also am a big proponent of funding Social Security Trust Funds (OASI & DI Solvency) so reactivating my account would let me do that as well. Thank you for taking a look. |
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| ▲ | dandanua 7 hours ago | parent | prev | next [-] |
| Your coworkers, after they learned about major progress in this problem, asked a model which was trained on the year of private work (the blog post even acknowledges this). No wonder it found the proof in less than a week using significantly higher compute resources. And if Tristan's accusations are true, that was absolutely intentional on the part of OpenAI. You are an evil company with evil people. |
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| ▲ | applicative 8 hours ago | parent | prev [-] |
| Its funny, it is uniquely with this one act that I have turned forever on OpenAI, which I hitherto defended up and down against nonsense charges. I dedicate my life to its complete destruction beginning today. |
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