From OpenAI: > While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models This is the crux of it. If Tristan's work and insights were not used to train OpenAI models, then this just looks like a case of hyper-competitive academic sniping that has been going on for decades (check out Watson and Crick!) accelerated by AI as a tool. The fact that this is…
If he didn't opt out I'm not sure I'd agree that it was fair game. I'm pretty sure it would be considered plagiary amongst colleagues and it is a terrible precedent if we just let OpenAI steal any good idea they can get their hands on if they think it is profitable. You'd effectively sign away any and all rights to anything built with AI if OpenAI chooses to reengineer it before you.
Navier-Stokes – Tristan Buckmaster [pdf]
441–450 of 862 posts
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#442From OpenAI: > While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models This is the crux of it. If Tristan's work and insights were not used to train OpenAI models, then this just looks like a case of hyper-competitive academic sniping that has been going on for decades (check out Watson and Crick!) accelerated by AI as a tool. The fact that this is…
If he didn't opt out I'm not sure I'd agree that it was fair game. I'm pretty sure it would be considered plagiary amongst colleagues and it is a terrible precedent if we just let OpenAI steal any good idea they can get their hands on if they think it is profitable. You'd effectively sign away any and all rights to anything built with AI if OpenAI chooses to reengineer it before you.
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#443From OpenAI: > While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models This is the crux of it. If Tristan's work and insights were not used to train OpenAI models, then this just looks like a case of hyper-competitive academic sniping that has been going on for decades (check out Watson and Crick!) accelerated by AI as a tool. The fact that this is…
If he didn't opt out I'm not sure I'd agree that it was fair game. I'm pretty sure it would be considered plagiary amongst colleagues and it is a terrible precedent if we just let OpenAI steal any good idea they can get their hands on if they think it is profitable. You'd effectively sign away any and all rights to anything built with AI if OpenAI chooses to reengineer it before you.
I have terrible news about how literally every leading AI model was trained
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#444From OpenAI: > While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models This is the crux of it. If Tristan's work and insights were not used to train OpenAI models, then this just looks like a case of hyper-competitive academic sniping that has been going on for decades (check out Watson and Crick!) accelerated by AI as a tool. The fact that this is…
If he didn't opt out I'm not sure I'd agree that it was fair game. I'm pretty sure it would be considered plagiary amongst colleagues and it is a terrible precedent if we just let OpenAI steal any good idea they can get their hands on if they think it is profitable. You'd effectively sign away any and all rights to anything built with AI if OpenAI chooses to reengineer it before you.
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#445Earlier quoted context omitted.
No, they use that wording because they are mocking this tweet from an Anthropic employee: https://xcancel.com/_sholtodouglas/status/209721833169057800... . I don't know why.
That is even worse. Back to 5th grade I guess
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#446From OpenAI: > While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models This is the crux of it. If Tristan's work and insights were not used to train OpenAI models, then this just looks like a case of hyper-competitive academic sniping that has been going on for decades (check out Watson and Crick!) accelerated by AI as a tool. The fact that this is…
Does opting out matter? "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." - Mark Chen, Chief Research Officer, OpenAI. https://x.com/markchen90/status/2097400166554993041
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#447Earlier quoted context omitted.
if they do not deny training on them, they can't deny plagiarism.
By that logic everything any LLM spits out is plagiarizing the vast majority of work written prior to a few months ago. That doesn't seem like a useful or desirable line of argument to me.
"Training" on textbooks => fine
"Training" with unpublished notes from another professor, then publishing something on that exact topic with a similar approach without giving any credit => extremely questionable.
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#448Earlier quoted context omitted.
If he didn't opt out I'm not sure I'd agree that it was fair game. I'm pretty sure it would be considered plagiary amongst colleagues and it is a terrible precedent if we just let OpenAI steal any good idea they can get their hands on if they think it is profitable. You'd effectively sign away any and all rights to anything built with AI if OpenAI chooses to reengineer it before you.
Mining the chats for "good ideas" would be untenable, but that's a different situation than data ending up in a training set for a problem that OpenAI also happens to be independently working on. Still, I opt out (business plan), and I don't know why you wouldn't.
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#449Earlier quoted context omitted.
if they do not deny training on them, they can't deny plagiarism.
By that logic everything any LLM spits out is plagiarizing the vast majority of work written prior to a few months ago. That doesn't seem like a useful or desirable line of argument to me.
Re: Navier-Stokes – Tristan Buckmaster [pdf]
#450>I asked whether the model had been trained on, or had access to, our sessions in Codex, into which we had been putting all our drafts for the whole of this project. I was told the model did not look up user data. I asked again, about training, and I did not get an answer. If you think these companies are not training on your prompts you are incredibly naive. These models were built by stealing and pirating literally…