Earlier quoted context omitted.
almost nothing involving NLP requires solutions anywhere near that accuracy rate. I've seen the self driving comparisons a lot but they straight up make little sense. there's a reason microsoft's various copilot suites have already popped up (365, X, Bing). massive value to be gained already in the here and now.
To play devil's advocate, we still have no idea how economically impactful the Copilot suites will be. I don't think this is the most likely outcome, but I can absolutely see a scenario in which these end up being minor features that are rarely used by the typical worker.
I'm getting some good code starting points, and talking the idea through step by step with a chatbot is really helping me clarify what i need to do, but I've still got API docs open for the libraries it uses because it likes to make up functions, including the core one on which the project logic hinges. (But that's ok, because now I know I just need to write a function that works that way and i can do that).
Pretty cool and helpful! And I can imagine it getting better with GPT-4 or code-specific tooling. But it's generating value on the order of like.. many other SaaS offerings that have come onto the scene that try to ease pain points in coding workflows. Versus value of the sort that upends society and my entire way of life. A great new tool that I should learn about to make rote bits of my activities faster and easier, a story that's a bit more familiar in tech than some of the more breathless stories about AI make it sound.