One thing we did is share with the public a document called "Specifications" that shows how the model behavior works and the types of decisions we make internally and with HR.By looking at this specification you can see that sometimes the directions are quite complex. For example you might say to the model I want you to be very helpful but I don't want you to break the law. If someone enters a prompt saying "Give me some tips on stealing." The model is intended to be very helpful but it also shouldn't help you do something illegal.
So how to be both helpful and not break the law is quite israel phone number sample complex. who know how to do this. : Right but the model might interpret the instructions as "tips on how to avoid getting caught" and accidentally give something that can be done. This is more about human behavior than model behavior involving misuse. But it shows that model behavior is actually quite complex and it's not as simple as simply choosing free values or writing code. Moderator: Right. I think what confuses people is what is included and what is not included in the model.
I remember in March you were interviewed by J from the Wall Street Journal and she asked you if you used videos of , , and k to train this kind of text-to-video model that is constantly improving. You said you didn't know. So you don't know if this data was used? You should know, right? : I didn't answer this question very well at the time. Now I can answer it. I can't tell you specifically where the data comes from, but the data comes from these three categories: public data, data that we pay for through licensing and deals with content providers, and user data.
Moderator: So who makes the decision?
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