[sieongioetnio]

We already have publicly-available models that are good enough for spam and scams. When running on CPU they are already faster than most people can type.

The cat is out of the bag. While the "AI alignment" jackasses were writing their Terminator fanfiction and wringing their hands about paperclips, they had already destroyed the world wide web as we know it.

[throwaway290]

Keep in mind the topic, it's not about WWW which can be totally swamped by a handful of dedicated malicious actors with powerful hardware, it's about verifying applicants that they did not cheat.

These models you talk about are either not good or unbearably slow, the output of a model that today runs "as fast as you can type" on average hardware will never be reliably mistaken for the real thing. If you try to cheat with it it would be more likely to fail you than if you spend $20 on a human freelancer to write stuff

The only factor that breaks this today is cheap availability of chatgpt and such. They are reasonably high quality but unprofitable to run, they are subsidized to hook public up so that later MS can safely jack up prices (ideally after getting an exclusive AI license from the government).

[MacsHeadroom]

You could have said the same things about image generation 18 months ago.

[throwaway290]

I could, and actually I did, and if I did not then I will now, say the same things about image generation today. Unless you know something I don't know or have top of the line hardware, general purpose image generation with homegrown models is either unbearably slow or poor quality.

[srslack]

You can run Stable Diffusion on an iPhone 11 and it completes in under a minute or two. Running on CPU generally takes around 5 minutes. My almost top of the line macbook runs a batch of four in around 30 seconds on Metal, and I'm sure it's much faster with a mid-range GPU considering how unoptimized Metal is with Torch. And yes, you can go take a look around reddit and 4chan, the vast majority of those aren't dreambooth/MJ/remote models.

That's not even taking into account local LoRAs and scripts that are possible instead of some company's untweakable crap. The open source around this is healthy, has pushed past DALL-E, and there's no real roadblock to Open Source LLMs except of course, the training cost. Even still, people are getting $200k+ models in their hands for free from various training runs and donated computing and LoRAing them and fine tuning them all to make them comparable to the closed off remote models.

Any "cryptographic" scheme with the generations of these will just catch the lazy. The lazy already include the confabulated sources in their papers, and don't try to normalize the Error Level Analysis in generated images (probably the quickest way to determine whether an image is generated), so I don't think it's actually a net benefit. It's a cat and mouse game, and will push the mice further into the walls.

You can't possibly say that generative images like this are "poor quality"

https://www.reddit.com/r/StableDiffusion/comments/131lpks/my...

https://i.imgur.com/3iDf43z.png

[throwaway290]

Again, poor quality or slow on conventional hardware.

The first of your examples was generated on a desktop computer with 2080 Ti and even then still glaring uncanny hands. We don't know how long it took but I think the reason for the hands is that it's too slow to generate a dozen of these in hopes that hands would come out right.

The other one I can see done on any laptop in a few minutes, but it's more primitive and just a monochrome sketch. I skip over obvious issues e.g. with shape of glasses.

For both examples you don't need any specialized tools or watermarking to notice this stuff.

Maybe you see what I mean why indie homegrown AI is not such a big deal ;) Sure there are people who will invest in hardware but those people will are not and for now won't be mainstream enough to matter. Especially if it will be licensed, most people don't like to violate laws. Most people will just use chatgpt or dall-e.

[srslack]

I don't see what your point is. The regulatory capture going on right now with the attempt to license things is ludicrous and akin to licensing matrix multiplications. It won't stick. Stable Diffusion and Approximated Functions (neural networks) are not something magical despite the fear they want to impart on them.

Commercial AI has all of those issues you mentioned, and more, and less. Midjourney is just a bunch of LoRAs layered on top and scripting to generate the images. But since they do that, midjourney images have a specific "feel" that it can't seem to get rid of. It's nothing really out of the reach for someone sufficiently motivated to reproduce.

DALL-E is laughable now, and it's only been a year. Certainly has been surpassed by open source, and outside competitors. I'm not sure what your motivation is to discount open source. People are already running LLM inference on their phones.