I don’t really understand why code generation is the focus. I would expect that code review is an area where automated process that aren’t fully reliable would generate more value.
Agreed, but code generation is a more natural fit for a GPT-style language model. GPT-3 and Codex use massive training sets; I would guess that the corpus of human code reviews is not nearly so big.
I would think that code generation has a much greater appeal to people / is more likely to go viral than code review tools. The latter surely is useful and I’m certain it will be added relatively soon to github/gitlab/bitbucket etc., but if OpenAI wanted to start out building more hype about their product in the world, then generating code makes more sense (similar to how art generating AIs are everywhere now, but very few people would care about art critique AIs).
I don’t really understand why code generation is the focus. I would expect that code review is an area where automated process that aren’t fully reliable would generate more value.
Agreed, but code generation is a more natural fit for a GPT-style language model. GPT-3 and Codex use massive training sets; I would guess that the corpus of human code reviews is not nearly so big.
I would think that code generation has a much greater appeal to people / is more likely to go viral than code review tools. The latter surely is useful and I’m certain it will be added relatively soon to github/gitlab/bitbucket etc., but if OpenAI wanted to start out building more hype about their product in the world, then generating code makes more sense (similar to how art generating AIs are everywhere now, but very few people would care about art critique AIs).