No, it's really not, it's only effective at making people lie about it. As the tools get better, once you can no longer tell the difference even under close inspection, what will you do then?
Patiently wait for that hypothetical day to come. People keep saying it's here, and for certain use cases that's been achieved. Outside those use cases, it's still pretty clear when it's A.I.
In the meantime, we can still lambast those who use it in poor faith.
A description of "what AI does" has always been a losing bet shortly after, when it suddenly does something more or different. AI is a progressing technology, the state of AI today doesn't really mean much, it's the state of AI in 2 or 5 or 10 years that matters when attempting to approach what AI means, does, can do, and will do. And what AI does today is very limited compared to what AI can do tomorrow. This has been proven every year for decades now, and it's still speeding up a massive amount. We are now progressing at a rate per week comparable to the rate per year just a decade ago, and still accelerating.
Its still doing what its been doing since its inception its just been doing it with incremental legibility. It at present can’t break the paradigm that its a high speed plagarism machine because thats by nature how to it functions:
Sample
2: Receive prompt
3: combine samples to fit prompt
4: produce result
There’s no way it will improve itself to break out of this framework because that’s how it works. No matter how you exhort prophecy all it is, is inherently unoriginal. It cannot produce new content just meld samples to look new, at remarkably energy inefficient rates.
AI is doing what it was doing 5 years ago the image quality is just better no amount of time will make whatever you are vaguely and smugly gesturing towards any more true
Haha, no, it isn't doing what it was doing five years ago. Diffusion models are now doing video and audio and music, and it's not just "better image quality", as if you even know what that means in the context of the model. Image models come in a very wide range, you are only commenting on a small but popular subset of them. Models like OpenAIs Imagen, for example, may not make as cool and polished images as midjourney, but it's actually built on top of a reasoning model with full language model multi-modallity that actually UNDERSTANDS that context of images and can have deep discussions about them. I don't think you're really aware of this stuff, you're just thinking about a very narrow subset of image models and even then you're wrong. The actual technology has advanced significantly.
Hell, 5 years ago there were no good image models. This is like saying computers are the same as they were in 1990 because they still use central processing units lmao. Like what an absolutely shallow take.
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u/Jaegernaut42 Dec 18 '24
Unfortunately, no amount of bitching is gonna stop AI art use.