this post was submitted on 10 Apr 2025
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[–] [email protected] 54 points 1 week ago* (last edited 1 week ago) (5 children)

There’s what AI could’ve been (collaborative and awesome), and then there’s what the billionaire class is pushing today (exploitative shit that they hit everyone over the head with until they say they like it). But the folks frothing at the mouth over it are unwilling to listen to why so many people are against the AI we’ve had forced upon us today.

Yesterday, Copilot hallucinated four different functions when I asked it to refactor a ~20 line TS function, despite me handing it 2 helper files that contained everything available for it to use. If I can’t confidently ask it to do anything, it’s immediately useless to me. It’s like being stuck with an impulsive liar that you have to get the truth out of.

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[–] [email protected] 5 points 1 week ago* (last edited 1 week ago) (3 children)

AAA dev here.

Carmack is correct. I expect to be dogpiled by uninformed disagreements, though, because on social media all AI = Bad and no nuance is allowed. If that's your knee-jerk reaction, please refrain for a moment and calmly re-think through your position.

EDIT: lol called it

[–] [email protected] 10 points 1 week ago (2 children)

What AI tools are you personally looking forward to or already using?

[–] [email protected] 4 points 1 week ago* (last edited 1 week ago) (20 children)

Not me personally, as AI can't really replicate my work (I'm a senior sound designer on a big game), but a few colleagues of mine have already begun reaping the workflow improvements of AI at their studio.

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[–] [email protected] 12 points 1 week ago

Carmack is an AI sent from the future, so he's a bit biased.

[–] [email protected] 93 points 1 week ago* (last edited 1 week ago) (4 children)

Considering that the AI craze is what's fueling the shortage and massive increase in GPU prices, I really don't see gamers ever embracing AI.

[–] [email protected] 12 points 1 week ago* (last edited 1 week ago) (3 children)

The Nvidia GPUs in data centers are separate (and even on separate nodes than, with different memory chips than) gaming GPUs. The sole exception is the 4090/5090 which do see some use in data center forms, but at low volumes. And this problem is pretty much nonexistent for AMD.

…No, it’s just straight up price gouging and anti competitiveness. It’s just Nvidia being Nvidia, AMD being anticompetitive too (their CEOs are like cousins twice removed), and Intel unfortunately not getting traction, even though Battlemage is excellent.

For local AI, the only thing that gets sucked up are 3060s, 3090s, and for the rich/desperate, 4090s/5090s, with anything else being a waste of money with too little VRAM. And this is a pretty small niche.

[–] [email protected] 43 points 1 week ago (2 children)

Chip fabbing allocations are limited and what chips for Ai datacenters takeup, the desktop GPUs don't get made. And what's left of it are desktop chips sold for workstation Ai models like the RTX 5090 and even RX 7900 XTX because they have more memory. Meanwhile they still sell 8GB cards to gamers when it hasn't been enough for a while. Whole situation is just absurd.

[–] [email protected] 1 points 1 week ago

Unfortunately, no one is buying a 7900 XTX for AI, mostly not a 5090 either. The 5090 didn’t even work till recently and still doesn’t work with many projects, doubly so for the 7900 XTX.

The fab capacity thing is an issue, but not as much as you’d think since the process nodes are different.

Again, I am trying to emphasize, a lot of this is just Nvidia being greedy as shit. They are skimping on VRAM/busses and gouging gamers because they can.

[–] [email protected] 1 points 1 week ago

Fabbing is limited to keep prices high. Just like OPEC turning down oil extraction when the price gets too low.

[–] [email protected] 10 points 1 week ago (1 children)

Still have limited wafers at the fabs. The chips going to datacenters could have been consumer stuff instead. Besides they (nVidia, Apple, AMD) are all fabricated at TSMC.

Local AI benefits from platforms with unified memory that can be expanded. Watch platforms based on AMD's Ryzen AI MAX 300 chip or whatever they call it take off. Frameworks you can config a machine with that chip to 128 GB RAM iirc. It's the main reason why I believe Apple's memory upgrades cost a ton so that it isn't a viable option financially for local AI applications.

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[–] [email protected] 7 points 1 week ago (3 children)

I'm pretty sure the fabs making the chips for datacenter cards could be making more consumer grade cards but those are less profitable. And since fabs aren't infinite the price of datacenter cards is still going to affect consumer ones.

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[–] [email protected] 69 points 1 week ago

[...] I really don’t see gamers ever embracing AI.

They've spent years training to fight it, so that tracks.

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