Because the training data is millions of hours human efforts being distilled into a cascading hierarchy of enrichment by interested parties without providing attribution or compensation?
I mean, they are certainly trying, but so far there's too much competition so the surplus mostly goes to customers.
If there wasn't a hierarchy of enrichment then rich investors would not be interested in AI at all. It's the only reason there's 22 million lying around to start training on a math problem on a whim; whereas the actual math researchers have to scrape together funding in hope of just maybe one day getting a 1 million dollar prize.
many teachers also taught many students over the course of history, and very few would eventually pay any compensation or even attribute their financial (or career) outcomes to the teachers.
What made model training different?
nuances