OpenAI's release explicitly says No. But then also caveats that with "we cannot rule out that de-identified data derived from their usage of our products" impacted things.
What's most striking to me, and what may or may not be true, is the "we cannot rule out" bit.
"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. While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models . However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs unforced)."
https://openai.com/index/navier-stokes-solution/
agree with this. i don't see the point of the terrarium if the fly never moves or really changes at all, other than seeing to twitch faster when sugar is on.
OpenAI's release explicitly says No. But then also caveats that with "we cannot rule out that de-identified data derived from their usage of our products" impacted things.
What's most striking to me, and what may or may not be true, is the "we cannot rule out" bit.
"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. While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models . However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs unforced)." https://openai.com/index/navier-stokes-solution/
NOTE: there are a couple duped threads around this. i replied on a different one first before seeing this one
I don't understand how they can say it's unlikely. It's objectively true that they train on de-identified user data (https://openai.com/policies/how-your-data-is-used-to-improve...), and objectively true that they encourage users to submit such data (the setting is on by default). Since it's de-identified I can believe that they can't give a straight yes or no answer here, but it seems more likely than not that at least some amount of his usage became training data. It takes an unusual level of awareness and effort for a user to ensure that all usage is opted out.
That was also striking to me too, the 'we cannot rule out'.
I also do not believe it. They can, trivially, rule out their model being trained on if
More to the point -- of _course_ they know what data their model is trained on and the lineage of that data, even if it ended up being anonymized and they cannot identify which precise user.
Such a fun story included here. It'd be great if this was also in a native web-app ebook too (i know it's harder to charge $ effectively, but most people end up wanting the physical or epub (for their e-reader) anyway if they like it.
Love the motivation behind this, and I think the execution is really quite nice. I really enjoy these little learning games/apps -- i think it's a great way to be using AI for development
Fable is quite good, but i also noticed that the later opus models don't seem quite as effective as before.
We break down our tasks pretty granularly before they get picked up by a model, and for that workflow we've found that sonnet 4 and opus 4 are still quite effective, and debatably more effective than the 5s
https://www.crowdsupply.com/modos-tech/modos-flow I believe the user modified an existing Modos Display (possibly not the one on pre-order), so I do not know if that developer's mod will go into one of their monitor's firmware. You can ask in their Discord channel (the company is aware of his work)
What's most striking to me, and what may or may not be true, is the "we cannot rule out" bit.
"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. While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models . However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs unforced)." https://openai.com/index/navier-stokes-solution/