this post was submitted on 26 Jun 2023
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Technology
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Eh it is useful for doing stuff like "hello world" anything more complex and it falls apart
Why are we in the fallacy that we assume this tech is going to be stagnant? At the current moment it does very low tier coding but the idea we are even having a conversation about a computer even having the possibility of writing code for itself (not in a machine learning way at least) was mere science fiction just a year ago.
And even in its current state it is far more useful than just generating "hello world." I'm a professional programmer and although my workplace is currently frantically forbidding ChatGPT usage until the lawyers figure out what this all means I'm finding it invaluable for whatever projects I'm doing at home.
Not because it's a great programmer, but because it'll quickly hammer out a script to do whatever menial task I happen to need done at any given moment. I could do that myself but I'd have to go look up new APIs, type it out, such a chore. Instead I just tell ChatGPT "please write me a python script to go through every .xml file in a directory tree and do <whatever>" and boom, there it is. It may have a bug or two but fixing those is way faster than writing it all myself.
I have the same job and my company opened the floodgates on AI recently. So far it’s been assistive tools, but I can see the writing on the wall. These tools will be able to do much more given enough context.
Because I think we are over the "s" curve for this kind of technology
I've gotten it to give boiler plate for converting one library to another for certain embedded protocols for different platforms. It creates entry level code, but nothing that's too hard to clean up or to get the gist of how a library works.