fwiw, I’m pessimistic that you will actually be able to make big compute efficiency improvements even by fully understanding gpt-n. or at least, for an equivalent amount of effort, you could have improved compute efficiency vastly more by just doing normal capabilities research. my general belief is that the kind of understanding you want for improving compute efficiency is at a different level of abstraction than the kind of understanding you want for getting a deep understanding of generalization properties.
fwiw, I’m pessimistic that you will actually be able to make big compute efficiency improvements even by fully understanding gpt-n. or at least, for an equivalent amount of effort, you could have improved compute efficiency vastly more by just doing normal capabilities research. my general belief is that the kind of understanding you want for improving compute efficiency is at a different level of abstraction than the kind of understanding you want for getting a deep understanding of generalization properties.