It is, of course, quite ironic for OpenAI to indiscriminately scrape the entire web and then complain about being scraped themselves.
[1]: https://searchengineland.com/google-bing-is-cheating-copying...
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It is, of course, quite ironic for OpenAI to indiscriminately scrape the entire web and then complain about being scraped themselves.
[1]: https://searchengineland.com/google-bing-is-cheating-copying...
I do think that distilling a model from another is much less impressive than distilling one from raw text. However, it is hard to say if it is really illegal or even immoral, perhaps just one step further in the evolution of the space.
If they actually figured out how to use output of existing models to build model that outperforms them then it's something that brings us closer to singularity than every other development so far.
> “It is (relatively) easy to copy something that you know works,” Altman tweeted. “It is extremely hard to do something new, risky, and difficult when you don’t know if it will work.” The humor/hypocrisy of the situation aside, it does seem to be true that OpenAI is consistently the one coming up with new ideas first (GPT 4, o1, 4o-style multimodality, voice chat, DALL-E, …) and then other companies reproduce their…
> other companies reproduce their work, and get more credit because they actually publish the research. I don't understand, you mean OpenAI isn't releasing open models and openly publishing their research?
No, they aren't (other than whisper).
Their "papers" are closer to marketing materials. Very intentionally leaving out tons of technical information.
Right?
I think OpenAI is in a really weak position here. There are essentially two positions you can be in: You can be the agile new startup that can break the rules and move fast. That's what OpenAI used to be. Or you can be the big incumbent who is going to use your enormous resources to crush your opposition. That's Google & Microsoft here. For Microsoft to say "We're going to tie you up in lawsuits about the way you tra…
All the top level comments are basking in the irony of it, which is fair enough. But I think this changes the Deepseek narrative a bit. If they just benefited from repurposing OpenAI data, that's different than having achieved an engineering breakthrough, which may suggest OpenAI's results were hard earned after all.
> OpenAI's results were hard earned after all DDOSing web sites and grabbing content without anyone's consent is not hard earned at all. They did spent billions on their thing, but nothing was earned as they could never do that legally.
But let's keep the eye on the ball for a second. None of that changes the fact that what was built was a capability to reflect that knowledge in dynamic and deep ways in conversation, as well as image and audio recognition.
And did Deepseek also build that? From scratch? Because they might not have.
I think there's two different things going on here: "DeepSeek trained on our outputs and that's not fair because those outputs are ours, and you shouldn't take other peoples' data!" This is obviously extremely silly, because that's exactly how OpenAI got all of its training data in the first place - by scraping other peoples' data off the internet. "DeepSeek trained on our outputs, and so their claims of replicating…
Why would it cast any doubt? If you can use o1 output to build a better R1. Then use R1 output to build a better X1... then a better X2.. XN, that just shows a method to create better systems for a fraction of the cost from where we stand. If it was that obvious OpenAI should have themselves done. But the disruptors did it. It hindsight it might sound obvious, but that is true for all innovations. It is all good stuf…
I think there's two different things going on here: "DeepSeek trained on our outputs and that's not fair because those outputs are ours, and you shouldn't take other peoples' data!" This is obviously extremely silly, because that's exactly how OpenAI got all of its training data in the first place - by scraping other peoples' data off the internet. "DeepSeek trained on our outputs, and so their claims of replicating…
On another subject, if it belongs to OpenAI because it uses OpenAI, then doesn't that mean that everything produced using OpenAI belongs to OpenAI? Isn't that a reason not to use OpenAI? It's very similar to saying that you used Google and searched; now this product belongs to Google. They couldn't figure out how to respond; they went crazy.
So no, it doesn't belong to OpenAI.
You might be able to sue for penalties for breach of contract of the TOS, but that doesn't give them the right to the model. And even if it doesn't give them any right to invalidate unbound copyright grants they have given to 3rd parties (here literally everyone). Nor does it prevent anyone from training their own new models based on it or prevent anyone from using it. Oh, and the one breaching the TOS might not even have been the company behind DeepSeek but some in-between 3rd party.
Naturally this is under a few assumptions:
- the US consistently applies it's own law, but they have a long history of not doing so
- the US doesn't abuse their power to force their economical opinions (ban DeepSeek) on other countries
- it actually was trained on OpenAI, but uh, OpenAI has IMHO shown over the years very clearly that they can't be trusted and they are fully in-transparent. How do we trust their claim? How do we trust them to not retrospectively have tweaked their model to make it look as if DeepSeek copied it?
Earlier quoted context omitted.
Why would it cast any doubt? If you can use o1 output to build a better R1. Then use R1 output to build a better X1... then a better X2.. XN, that just shows a method to create better systems for a fraction of the cost from where we stand. If it was that obvious OpenAI should have themselves done. But the disruptors did it. It hindsight it might sound obvious, but that is true for all innovations. It is all good stuf…
Why not just copy and paste the model and change the name? That's an even more efficient form of distillation.