> This means big companies have to do something otherwise they will compete with ml enhanced developers.
I'm sure they're terrified of competing with the legions of boilerplate generators
I'm sure they're terrified of competing with the legions of boilerplate generators
I'm pretty sure the current level is not the ceiling of it.
And for the first time ever it makes sense for a large company to put knowledge on purpose into a LLM.
People leave companies but that knowledge is even more critical for big projects and the loss of people as well.
It's a significant advantage for developers to ask AI to solve technical problems, get right answers right away and move to a next task vs keep on scratching your head for the next 5h wondering "why it doesn't work".
I can ask my magic 8 ball too, it has about the same success rate
Perhaps if you provide an API to it you'll secure billions in funding in no time.
that's not a bad idea actually
I just need a way to market it as some sort of AI based decision maker
"extreme temperature generative AI" maybe
It isn't even about the AI itself; the problem is uploading your code base or whatever other IP anywhere not approved. If mere corporate policy seems like a fuddy-duddy reason to be concerned, there's a lot of regulations in a lot of various places too, and up to this point while employees had to be educated to some extent, there wasn't this attractive nuisance sitting out there on the internet asking to be fed swathes of data with the promise of making your job easier, so it was generally not an issue. Now there is this text box just begging to be loaded with customer medical data, or your internal finance reports, or random data that happen to have information the GDPR requires special treatment for even if that wasn't what the employee "meant" to use it for. You can break a lot of laws very quickly with this textbox.
(I mean, when it comes down to it, the companies have every motivation for you to go ahead and proactively do all the work to figure out how to replace your job with ChatGPT or a similar technology. They're not banning it out of fear or something.)
I think equal advantage lies in getting multiple approaches fleshed out, even if the answer isn't right, as in, may not compile as-is. That is more than sufficient advantage a developer gets because most of the time usually spent isn't actually typing the code but finding out how to design/combine things.
E.g. I was working on a rust problem and asked ChatGPT for a solution. What it provided didn't compile (incorrect functions etc) but it provided me information in terms of the crates to use, general outline of the functionality and the approach to combine them - that proved to be more than enough for me to get going (to be clear, I didn't blindly copy the code; I understood it first and wrote tests for the finished product). I think that is where the real advantage lies. I see it as an imperfect but very powerful assistant.
Funny enough, the answers gpt4 gave were basically taken wholesale from the first Google result from stackoverflow each time. It's like the return of the I'm Feeling Lucky button.
I doubt though that corporations that employ these developers will have any advantage. To the contrary, their code bases will suffer and secrets will leak.
Ask some question about cpp or c and Google search will provide 5 or 6 ad ridden cesspools before giving link to cppreference.
For the case I last tested, there was no correct answer. I asked it to do something that is not currently possible within the programming framework I asked it to use. Many people had tried to solve the problem, so chaptgpt followed the same path as that's what was in its data set and provided solutions that did not actually solve the problem. There wasn't any problem with the prompts, it's the answers that were incorrect. Having those initial prompts influence the results was desired (and usually is, imo).
Maybe.
I haven't actually seen that advantage in action. That is, I haven't seen a case where an LLM has actually given a solution right away for a problem that would have stumped a dev for multiple hours.
In my workplace, two devs are using chatgpt -- and so far, neither has exhibited an increase in productivity or code quality.
That's a sample size of two, of course, so statistically meaningless. But given the hype, I expected to see something.