logoalt Hacker News

nezitoday at 6:41 PM10 repliesview on HN

I think it's a useful analogy to compare OpenAI to a human collaborator. These researchers willingly collaborated with an OpenAI model, giving it ideas, and OpenAI provided useful replies. Then, OpenAI goes ahead and publishes work along the lines of this collaboration, without attributing the researchers. If OpenAI was in fact a human researcher, this would be highly unethical.

Now, OpenAI is claiming that the model it used to generate the result was not trained on these collaborative communications with the researcher. This is a technical argument that is impossible to verify as an OpenAI outsider, and probably difficult to verify even for internal OpenAI employees. Provenance is hard to track - you would hope OpenAI has very good tools for this, but a full data trail of all inputs is difficult to trace through.

Another interesting thing to consider is if instead of OpenAI doing this, it was another research mathematician A using an OpenAI model just like the internal group at OpenAI did to publish these results. What if the model A used was trained with unpublished communications with other researchers B who were working on the same problem? Should researcher A technically include B as coauthors? How could they do this when they do not know the communications B had with OpenAI? In this scenario OpenAI, as a middle man, has laundered information from B to A, stripping out attribution. A scooped B without even knowing it!


Replies

michael0churchtoday at 9:21 PM

This goes beyond math. The external appearance is that OpenAI negligently or intentionally used user data against a user’s interests in a potentially career-altering way… for the marketing bump of an AI proof. The fact that it probably wasn’t intentional is irrelevant. Trust has been lost and this will ripple into communities where no one has heard of Navier Stokes.

show 4 replies
jjwisemantoday at 6:56 PM

First, OpenAI is not claiming that the model wasn't trained on those sessions. What they've said is “We (the researchers and the agents) did not see any of their work through any means until they released it publicly — in particular, no specific user data was accessed in order to solve this problem.” and “We did not use their prompts or proofs to prompt our models or direct our agents.” and “While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.”

They also said “Our effort began on September 1st after hearing a rumor which we later realized was related to Levent Alpöge … and Tristan Buckmaster….” They say the rumor was that two Millennium Prize problems had been resolved, and that this prompted them to launch "an effort to evaluate it on all open Millennium Prize problems and a few other high-impact problems."

It's not obvious to me that's an unethical thing to do, if it happened as they described.

show 4 replies
jameslarstoday at 6:50 PM

> Provenance is hard to track - you would hope OpenAI has very good tools for this, but a full data trail of all inputs is difficult to trace through.

What would OpenAIs incentive for this be? They've gotten away with scraping everything and getting it ruled fair use. It seems like willful ignorance is an affirmative defense today. Why would they want to have some sort of audit trail that could prove otherwise?

show 1 reply
raincoletoday at 7:32 PM

The irony is that OpenAI got into this trouble only because they tried to play "nice". They told Buckmaster that he could publish the final result as the author as long as he removed Alpöge from the author list. They wanted to give Buckmaster a chance to be the one solved N-S problem.

While this behavior is highly questionable, if OpenAI just published the final result without notifying Buckmaster first and simply cited his previous researches, there would be no ground for anyone to accuse OpenAI for anything. Their self-perceived "generosity" backfired dearly and I'm sure they'll never make the same mistake again. There is probably a policy forbidding any OpenAI employee to contact external researchers like that now.

show 3 replies
cjf101today at 6:56 PM

If the model was trained proper to the conversation with the researcher took place, there'd be no question of tainting the results. But if any amount of training on the model took place afterward, then yes, everything is thrown into doubt (a core problem with considering anything "original" from a model because of how >a % of everything ever written has been used a corpus for the training).

mcmcmctoday at 7:10 PM

> I think it's a useful analogy to compare OpenAI to a human collaborator.

Frankly I don’t buy this. It’s not a human or a collaborator. It’s a tool. This is like saying it’s not Microsoft’s fault if they extract a bunch of data from people’s Excel sheets because they willingly put it into the program. Anthropomorphizing software is ignorant and foolhardy

show 3 replies
jimmyddddtoday at 7:25 PM

So, at my company (and most companies I think), we use confidential in-house versions of the AI software. We don't want any confidential information leaking into the public realm. Are these scientists doing that, or are they just using the public version of the software?

show 1 reply
guelotoday at 10:29 PM

Bad analogy. OpenAI spent millions on compute to get their result. This is more like if a billionaire heard of a promising mathematical lead and then gathered hundreds of top mathematicians to work on it.

jltsirentoday at 10:41 PM

I think it's better to ignore OpenAI here, because OpenAI didn't do anything.

Academic research is a professional field in the traditional sense. Individual researchers are ultimately responsible for their actions. If some OpenAI employees violated academic norms while doing academic research, they should be judged by academic standards.

Scooping someone else's result is immoral but not an outright violation of academic norms. But if you are in possession of relevant confidential information, you are expected to steer clear of the topic. It doesn't matter whether you actually used the confidential information to get your results, because outsiders can't know that. The mere fact that there is a plausible suspicion already puts your integrity into question.

Tenured professors occasionally lose their jobs over similar scandals (but usually don't). If OpenAI wants to regain some goodwill, it should do a thorough investigation that may lead to firing the individuals in question. If it doesn't find sufficient evidence of wrongdoing to justify any disciplinary action, it probably doesn't gain any goodwill either (as it often happens with similar investigations at universities).

And if OpenAI wants to be a trustworthy partner, it should transform into a company of boring gray bureaucrats who provide an essential service without competing with their customers.

show 1 reply