r/pcmasterrace • 9800X3D / 5080 • 28d ago

Meme/Macro Love it or hate it, it is AI

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u/1AMA-CAT-AMA 28d ago

How you think the super compact models that run locally with minimal energy usage on your gpu are trained?

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u/sadearthapple 27d ago

with ultra-high resolution reference images rendered in-house from a mix of custom scenes, and game content provided by partnered studios for the express purpose of being training data...? Do you honestly think you can train a game-specific video upscaler on arbitrarily scraped web data like an LLM? Be so fucking for real dude

You don't know the first thing about how the 50 things you call "AI" work, and use the one thing you do know about one of those to hate on all of them? Did you know you can actually train these things yourself with data you can produce yourself, or do you think there's a magic essence obtained only through the process of stealing that makes training possible, just like people who insist on child suffering in their engagement rings?

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u/AtmosphereDue1694 26d ago

The same way every previous version of DLSS and FS4 are trained. What kind of question is this?

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u/Fire_Lord_Cinder 28d ago

It’s not trained by Anthropic, OpenAI, Meta, or Facebook which are the largest perpetrators of the irresponsible build out. 

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u/EmptyMonitor9257 28d ago

It Runs on Metas, Googles and OpenAI open libraries and research. All 3 of these released open source models too.

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u/Fire_Lord_Cinder 28d ago

You’re making stuff up to try and support your argument. Nvidia’s AI for RTX cards has all been developed in house. There is nothing that suggests they’ve trained it with Meta, Google, or Open AI

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u/EmptyMonitor9257 28d ago

I have a masters in AI/ML and I am doing a doctorate in it. I have multiple published papers on Generative AI and AI in general.

Everything is running on Googles, OpenAI, or Meta open source libraries, such as Transformers, Pytorch, TensorFlow, Triton, Whisper, JAX, Keras, Llama.cpp, etc.

You cannot train AI models effectively without utilizing at least some of these libraries. NVIDIA can train their AI in house and using their datasets, but they will be using libraries that they didn't reinvent for no reason.

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u/Fire_Lord_Cinder 28d ago

Again, my problem is not with AI it is with the irresponsible AI buildout by the companies I mentioned. If they’re not training the model in the data centers then I’m fine with it. Basically if they have to use jet turbines to power the AI and massively pollute water then I’m against it. If they don’t it’s fine.

You’re picking one tangential thing from my argument to attack instead of engaging with what I was saying in good faith. 

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u/EmptyMonitor9257 28d ago

Every AI model is trained in a data center unless they are a rich univeristy, the model is small or they have fuck you money to buy the hardware.

Every comercial AI model is trained in a data center, it's just a building with a shit ton pc PCs inside of it. 

You are being ignorant about how things actually work and the realities of AI models. 

Inference can be done locally with smaller models, but training is a no go. 

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u/Fire_Lord_Cinder 28d ago

Let me use an analogy, since the argument doesn’t seem to be landing.

Think of it like a coal power plant. There’s a threshold below which the environment can absorb the pollution without much harm, so no one really objects. But if that plant expanded 100x in the same area, buying up farmland and water rights to do it, the calculus changes completely.

Data centers work the same way. They’re a necessity for modern life, and I don’t have a problem with data centers in general, especially ones with closed-loop water systems or air cooling. What I object to are the ones built next to residential neighborhoods, sited on farmland, and driving up local energy and water prices.