A lot of people don’t understand how AI training and AI inference work, they are two completely separate processes.

Yes, they are. Not sure why you are bringing that up.

Because a huge part of making a good model is providing good data. That is, generally speaking, done by labeling things ahead of time. Back in the day it was paying people to take an amazon survey where they said “hot dog or no hot dog”. These days… it is “anti-bot” technology that gets that for free

But that is ALSO just simple metrics like “Did the user use what we suggested”. Instead of saying “not hot dog” it is “good reply” or “no reply” or “still read email” or “ignored email” and so forth.

in fact a lot of research is being done right now trying to make it possible to do both because it would be really handy to be able to do them together and it can’t really be done like that yet.

That is literally just a feedback loop and is core to pretty much any “agentic” network/graph.

Go ahead and do so, they will have separate sections specifically about the use of data for training. Data privacy is regulated by a lot of laws, even in the United States, and corporate users are extremely picky about that sort of stuff.

There also tend to be laws about opting in and forced EULA agreements. It is almost like the megacorps have acknowledged that they’ll just do whatever and MAYBE pay a fee after they have made so much more money already.