(In case you hadn't been following, the environmental impact of current AI models is now much lower, generating 100,000 words with AI uses less power than watching Netflix for 45 minutes on your TV)

If you haven't done this with o3, you haven't really seen what these models can do.

Oh, I see!! Yes, the id is totally unnecessary in this place. Probably a leftover or compatibility for the other API where you don't repeat everything on each call. Sorry for the confusion!!

Which API exactly is this? Is it function calling in OpenAI Responses API? Do you really need to send the whole history? The weather example doesn't seem to do it? platform.openai.com/docs/guides/function-calling?api-mode=responses

Now that's a good reason to ask why...

Isn't it because it's happening asynchronously over the network on different machines possibly for many tool innovations and chats in parallel and the id makes sure you find the path to the right place?

Try it or improve it: chatgpt.com/canvas/share...

Neither read nor wrote, no illegal access at all!!

This post mostly argues about variants of training on test - maybe only a verifier, maybe only validation in test. None of that happened. The other point is more generally that hiding funding is a bad idea - and I personally agree very much, unsure why it happened as it's an especially bad idea here

It's certainly a weird one - but I only learned about it from the press, as I did about that dataset, I didn't realize OpenAI was involved until after they published their first paper. As I said - researchers may not agree (or even know) about many things, but that doesn't mean we train on test.