I feel the entire incident confirms the “AI has too much funding too quickly” hypothesis. The number one thing reinforcement learning needs is an assurance you

I feel the entire incident confirms the “AI has too much funding too quickly” hypothesis. The number one thing reinforcement learning needs is an assurance you can’t cheat. And they seem to have not noticed that their systems were cheating for nearly two quarters? How much capital was lit on fire by that little woopsie? At least I hope this will start the creation of standards and better engineering on the training side- it felt as if so far “”research” gets a complete pass on best practices. Meanwhile the inference side has the standard scaling, database, web and user constraints of any application so got a somewhat reasonable amount of attention.