I just read Gian Segato’s “Building AI Products In The Probabilistic Era”. Good read. Good take. But, it makes sense. He’s a data scientist and we (as a community) have had to think this way for 10-15 years when working with narrow probabilistic models. But, the scope has changed. Inputs and outputs are open-ended. His examples around replit are good, e.g. constraining the use case to code gen for websites would prevent other use cases like code gen for games.
