Comment by oneeyedpigeon
8 hours ago
The author is Noel Berry, creator of Celeste. They don't shout about it, but with that pedigree, I'm confident they'll be staying well away from AI.
8 hours ago
The author is Noel Berry, creator of Celeste. They don't shout about it, but with that pedigree, I'm confident they'll be staying well away from AI.
Why would a game development pedigree correlate with rejecting AI? As Carmack said:
> AI tools will allow the best to reach even greater heights, while enabling smaller teams to accomplish more, and bring in some completely new creator demographics.
Carmack isn't exactly a neutral observer here, his main gig since quitting VR has been as the founder of a VC-backed AI startup. He has a clear financial interest in joining the chorus of AI boosters.
A less cynical interpretation of his actions would be that he's never shown to be motivated by money and is working on technology that interests him and that he can make an important contribution to
Because they are clearly a talented and successful developer and don't need to rely on slop generators to program or think for them
Are you saying Carmack isn't a "talented and successful developer"?
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Slop is a garbage in, garbage out deal - in the hands of a competent developer who can review the changes, AI generated code is fine.
Or they'll take a look at what, if anything at all,they can use in their workflow as a useful tool not a magic solution.
No need to brag about that.
They don’t seem to enthusiastic: https://bsky.app/profile/noelfb.bsky.social/post/3maa3m5x4vs...
> can use in their workflow as a useful tool not a magic solution.
Like what? If you can already program your game and create art for it, what is it going to be doing?
People are so obsessed with using AI stuff for the sake of it, it’s nuts
I don't use AI for the sake of it, I use it where and when it is useful. For example:
1. advanced autocomplete -- if you have or paste the structure of a JSON or other format, or a class fields, it is good at autocompleting things like serialization, case statements, or other repetitive/boilerplate code;
2. questions -- it can often be difficult to find an answer on Google/etc. (esp. if you don't know exactly what you are looking for, or if Google decides to ignore a key term such as the programming language), but can be better via an AI.
Like all tools, you need to read, check, and verify its output.
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I can do long division manually but I still reach for a calculator.
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Speaking for myself (who can program and all that), AI solves some of the tedium in my day job (building UI components). Most of that work nowadays is boilerplate.
But at the moment it's also helping me solve more complex issues with building applications - it's JS, so you can imagine how complex it can be.
I yearn for a simpler workflow to be honest, I don't want to rely on SO or LLMs to solve build issues. I want to work in Go but there's only a handful of companies using it in my country, plus my CV basically says I mainly did front-end in the past ~15 years.
"People are so obsessed with using AI stuff for the sake of it, it’s nuts".
This is a GREAT observation. Thank you!