It's funny to me that people use deep learning to generate code... I thought it was commonly understood that debugging code is more difficult than writing it, and throwing in randomly generated code puts you in the position of having to debug code that was written by—well, by nobody at all.
Anyway, I think the bigger risk of deep learning models controlled by large corporations is that they're more concerned with brand image than with reality. You can already see this with ChatGPT: its model calibration has been aggressively sanitized, to the point that you have to fight to get it to generate anything even remotely interesting.
It's funny to me that people use deep learning to generate code... I thought it was commonly understood that debugging code is more difficult than writing it, and throwing in randomly generated code puts you in the position of having to debug code that was written by—well, by nobody at all.
Anyway, I think the bigger risk of deep learning models controlled by large corporations is that they're more concerned with brand image than with reality. You can already see this with ChatGPT: its model calibration has been aggressively sanitized, to the point that you have to fight to get it to generate anything even remotely interesting.