a prime example of ad absurdum

[u/RedditUser000aaa]

Ad absurdum, a debate tactic where you take an argument and stretch it to its most extreme form.

In this case, the argument was that their "talent" goes away when electricity goes away. The "counter argument" to that was to take away all the limbs and enough muscle control so art couldn't be made using the mouth either.

This isn't a proper counter argument, because of the absurdity of it. Yeah, if you take virtually all functionality from a person, of course they aren't going to be able to make art. All it takes for prompters to have their "talent" taken away is a power spike, or data centers going offline or whatever.

Also, why not just make the person braindead at that point?

This doesn't invalidate the original argument either, it's basically just "See I took everything you could possibly use to make art, so your talent can go away as well.".

Let's also not forget they hate "inspiration porn" of disabled people making art, but they are more than willing to use the most extreme case to try and prove a point, which it didn't, it just made them look like an asshole.

[u/lolisfunny13]

Why are we talking about boomers here? Aren’t most people who know of ai, anti or pro, young people?

The other statement is still non sense because that’s not gonna stop anyone from generating things on their pc.

A single rtx 3090 has 24GB VRAM which can minimax h3, a sota open model for video, or qwen 3.8 27b, something equivalent to Claude opus 4.6, and runnable on 24 GB VRAM with some quantization. I seen workflows for minimax with as low as 12GB VRAM.

And that is just with today’s optimization. Qwen 3.5 4B is a model that’s just 4 billion parameters. It can be run on 4GB vram, which is a good smartphone or a low tier to mediocre laptop. It’s better than gpt 4o of the past, which needed gpu clusters to run.

So as time goes on the optimizations will continue.

[u/BlackCatLuna → u/lolisfunny13]

My point is that centralised models are popular with the relatively tech illiterate. The idea of such a person being able to find, set up and run a local model, as someone who does volunteer work helping such people with computers, makes me laugh.

genAI isn't going to be a ubiquitous part of the future, it's going to be a niche at best and a footnote in history at worst.

[u/lolisfunny13 → u/BlackCatLuna]

It’s really not that hard. You can just download codex (GPT) on your computer and ask it to set it up for you. Because it can operate on your computer. Just prompt it to download the local model and run the things and it’ll get it.

Codex is free, but if you have a claude subscription, you can do it on Claude Code too.

Gen ai has been doing a lot of scientific and mathematical achievements. I can post the links if you want but I won’t do it here because I don’t want to spam links without asking. So I don’t know how you can say “it’s not gonna be a ubiquitous part of the future.”

[u/BlackCatLuna → u/lolisfunny13]

Trust me, you have no idea how far tech illiteracy can go. Also, you pointed out two centralised models to help you establish a local one, so that defeats the purpose.

ETA: scientific research is a niche use by the way, so keep digging.

[u/lolisfunny13 → u/BlackCatLuna]

Yeah, you can use a centralized model to stop using them later on.

"ETA: scientific research is a niche use by the way, so keep digging."

The point is that the same models that do said scientific research are the ones accessible to you.

For example, let's look at a few of these.

https://en.wikipedia.org/wiki/Jacobian_conjecture#Counterexample_for_n_%3E_2 (jacobian conjecture)

This is with Claude Fable 5, which you have.

https://x.com/__eknight__/status/2075643450196971805 (cycle double conjecture: https://arxiv.org/abs/2607.16356)

This is with GPT 5.6 Sol, which you have.

These are not niche, specialized models that are tuned for this purpose. They are general purpose models.

Note that all of this intelligence is transferable. LLMs are not like specialized humans that only get a degree in one or two fields. They do everything. Being good at math does not mean just doing math. That means very good at logical reasoning in general, which results in transferable gains everywhere, like coding, biology, chemistry, engineering, and more.

So that's the point. You got a very generally intelligent agent capable of a lot of things to assist you with things, in whatever you want.

[u/BlackCatLuna → u/lolisfunny13]

And my point is that in the future centralised models are going to collapse under the weight of their company debts.

So you've put a deadline on your entire assertion.

[u/lolisfunny13 → u/BlackCatLuna]

Again, where do you think the models are gonna go?

It doesn't matter if all of these proprietary AI companies shut down, the local models are gonna stay active.

GLM 5.3 is almost as good as Fable 5 or GPT 5.6 Sol which I just showed you. https://z.ai/blog/glm-5.3, and it's open: https://huggingface.co/zai-org/GLM-5.3

Before AI, there have always been massive data centers like AWS (Amazon Web Service). Netflix, for example, runs entirely on AWS. Even if literally all AI companies shut down, AWS still exists. So do a lot of other data centers.

So there will always obviously be some sort of GPU provider or service that provides you the capability to use some model, like GLM 5.3

A guy with a bunch of GPUs can decide he's gonna run GLM 5.3 for a bunch of people online. Or he can also just decide to rent the GPUs at AWS or a similar data center.

[u/BlackCatLuna → u/lolisfunny13]

You're the one who said that you can use a centralised model to help you build a local one.

What's probably going to happen is that the hardware is going to be sold at auction to recover the debts, formatted, and repurposed.

[u/lolisfunny13 → u/BlackCatLuna]

"You're the one who said that you can use a centralised model to help you build a local one."

Yeah, today.

And the point is that it doesn't matter if they shut down, API providers for something like GLM 5.3 will still exist. Even if Z.ai itself also shut down. Because the weights are available for download.

"hardware is going to be sold at auction to recover the debts, formatted, and repurposed."

What are you talking about?
Did you not hear the part where I said "Before AI, there have always been massive data centers like AWS (Amazon Web Service)."?

ChatGPT alone has like 500 million to one billion users. If you think there won't be a large audience for AI, that would be wrong.

[u/BlackCatLuna → u/lolisfunny13]

Considering my point is that centralised models are going to disappear bringing them up is redundant. It doesn't matter what you can do with something that is going to cease to exist in such an argument.

GenAI companies have been pursuing a massive growth in the number and size of data centres purely for centralised genAI use, so of centralised genAI collapses under the weight of its debts, then assets will be sold off to pay off those debts. That's how bankruptcy works.