The best models still absolutely fucks up code in the same way it does prose, but GitHub's Copilot gets it right 90% of the time. If you're writing in a new language, you can end up with an MVP waaaay faster than you would've before. If you have a method signature with descriptive names, it can usually fill it out for you. If you're a product manager, instead of hiring a team of datascientists, you might just hire one.
I think it's fair to say the supply-vs-demand of programming expertise changed a lot over 2023, purely because of these tools. That's my bread-and-butter and it's depressing.
With Google and other search engines turning to garbage, communities/support becoming increasingly dependent on Discord, and StackOverflow also turning to garbage (with AI answeres), so I found myself just giving up and checking ChatGPT and Copilot instead.
A lot of my coworkers are vocally dependent on these models, and suddenly I was one of them too.
AFAICT, this kind of replacement isn't happening wholesale for artists. People are using AI models in asset-creation pipelines and for decoration and marketing materials, and people are using models instead of commissioning art. But AFAICT there's not the industry-wide "ask ChatGPT rather than your coworkers or docs" that I'm seeing.
This makes sense, because "How do I unwrap this observable?" has one correct answer, whereas you really can't find a model that can, say, "Create concept art for an 80s-inspired retro desk fan prop in our South African inspired animal people world".
TLDR:
Current models still mess up, but get things right very often.
Programmers are definitely becoming dependent on these models.
Programmers are definitely being replaced, and my understanding is that artists aren't being replaced as widely yet.
twovests wrote (edited )
A bit of both.
The best models still absolutely fucks up code in the same way it does prose, but GitHub's Copilot gets it right 90% of the time. If you're writing in a new language, you can end up with an MVP waaaay faster than you would've before. If you have a method signature with descriptive names, it can usually fill it out for you. If you're a product manager, instead of hiring a team of datascientists, you might just hire one.
I think it's fair to say the supply-vs-demand of programming expertise changed a lot over 2023, purely because of these tools. That's my bread-and-butter and it's depressing.
With Google and other search engines turning to garbage, communities/support becoming increasingly dependent on Discord, and StackOverflow also turning to garbage (with AI answeres), so I found myself just giving up and checking ChatGPT and Copilot instead.
A lot of my coworkers are vocally dependent on these models, and suddenly I was one of them too.
AFAICT, this kind of replacement isn't happening wholesale for artists. People are using AI models in asset-creation pipelines and for decoration and marketing materials, and people are using models instead of commissioning art. But AFAICT there's not the industry-wide "ask ChatGPT rather than your coworkers or docs" that I'm seeing.
This makes sense, because "How do I unwrap this observable?" has one correct answer, whereas you really can't find a model that can, say, "Create concept art for an 80s-inspired retro desk fan prop in our South African inspired animal people world".
TLDR: