I think AMD might retire from the high-end GPU market competition. Hopefully they will focus in cheaper GPUs with features people actually want, for a reasonable price (200-300€).
Then nvidia will go poof
Because people is still gaming in their 3060s and Radeons RX 7600. Not that much people really cares about 4k or specially RTX.
@Jain@blob.cat And my point is that a human will write code following it's logic. Not statistical analysis and common patterns. Yes, a human might write untested code that might also not work or introduce bugs as well and someone might copypaste them. But at least there was a thought process.
Here, there is none. Just machine saying "this looks like something a programmer would write based on your input". I can see why using it is a problem.
@Jain@blob.cat idk. My experience with generative AI code is code that looks good but doesn't run or doesn't work as expected. It's a no-no in my list. And please don't compare copypasting from stack overflow with AI generated code. At least the code in Stack overflow was written by a human being.
@Jain@blob.cat How do you know what you're submitting if the AI made it for you in the first place? lmao
If you are dealing with a kernel and you're using an AI to generate the code for you... a critical component of the system (or the most critical one, it's the core itself), with a tool that is known to write bad code and introduce bugs... yeah, I can see a problem.
Hopefully they will catch those issues before merging the commits, but something tells me this is not going to always be the case and this will lead to unsafe code that is going to cause problems. I'm surprised Linus didn't ditch it entirely like Gentoo did. Maybe he's buying OpenAI stocks for his retirement.
@icedquinn@blob.cat Yeah that's probably the only legit use for AI, but unfortunately it doesn't work either. Like, I'm sure if you ask for something simple it will work and it will recognize it, but a lot of things are complicated and even for a human it requires some thinking. Like identifying plants. A lot of plants will look alike to the untrained eye, but someone who studies plants will tell each one apart from very small details.
Not to mention the amount of training required for that. You'd need a very, very large model, and that's just for one thing only.
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