Technology

I'm interested to know how they fool the AI while keeping it invisible to the human eye. Do they make additional layers? Do they change every nth pixel? Is every poisoning associated with another poisoned object? (Will a dog always be poisoned towards a cat?, etc...)

Interesting, but a bit hard to understand.

AI using artists work is inevitable and will be a thing. We can't fight these change, we will resist these changes but eventually the majority will accept it for convenience. That's what our society do. The only chance we get to control it, is that for every use of an artist work, a little payment is made for them. Think Spotify or stuff like that. At least until an economic revolution.

these don't work for any longer than a couple of days, at most.

Is this not just adversarial training/generation, but instead of using it to improve the model they just allow it to mess it up? Sorry, blanking on the exact term. My understanding was that some GANs are specifically trained on stuff like this to improve their abilites to differentiate.

This is one of the dumbest things I've ever seen.

Anyone who thinks this is going to work doesn't understand the concept of signal to noise.

Let's say you are an artist who draws cats. And you are super worried big tech is going to be able to use your images to teach AI what a cat looks like. So you instead use this to pixel mangle it to bias towards looking like a lizard.

Over there is another artist who also draws cats and is worried about AI. So they use this tool to make cats bias towards looking like horses.

All that bias data taken across thousands of pictures of cats ends up becoming indistinguishable from noise. There's no more hidden bias signal.

The only way this would work is if the majority of all images in the training data of object A all had hidden bias towards object B (as were the very artificial conditions used in the paper).

This compounds by multiple axes for what you'd want to bias. If you draw fantasy cats, are you only biasing away from cats to dogs? Or are you also going to try to bias against fantasy to pointillism? You can always bias towards pointillism dogs, but now your poisoning is less effective combined with a cubist cat artist biasing towards anime dogs.

As you dilute the bias data by trying to cover multiple aspects that can be learned from your images by AI, you further plummet the signal into noise such that even if there was collective agreement on how to bias each individual axis, it'd be effectively worthless in a large and diverse training set.

This is dumb.

Wanna bet this can be undone in 2 seconds by running an automatic script with basic image manipulation?

AI is here to stay – sure, it sucks to get plagiarized, but there are things artists can do which AI isn't yet good at. Focus on that, instead of wasting time and energy on paliative solutions.

Can you explain what the chart means? It seems like it’s supposed to show that it will degrade the output of the models when the number of poisoned samples increases, however it shows a different subject above than below. Does it morph the subject into another concept?

Unrelated to much in the way of the article, but the middle tier of anime poisoned with cubism actually looks sorta cool

This fight is over.

The idea has some merit but it's harder to implement than it looks like. Model-based image generation is heavily biased towards typical values, so you'd need a lot of poison to do it. And that poison would need to be consistent - it doesn't work if you tell the model now that cats are dogs and then that ferrets are dogs, you need to pick one.

I'm rather entertained by the amount of fallacies and assumptions ITT though. I get that you guys are excited with model-based image gen; frankly, I'm the same when it comes to text gen. But those two things won't help, learn the difference between "X is true" and "I want X to be true".

Wasn't there already a tool like this called Glaze?

I absolutely love this. I’m not even an artist, but I’m giddy over this.

Begun, the AI wars have.

Meanwhile with AI videos (more in the Aibient channel). Intoxicate AI LOL, it made it as a feature

https://piped.kavin.rocks/watch?v=g8yX1Jfq8K4

The only solution, if there is one, is to put your art on the blockchain and specifically license against it being used without attribution on same blockchain and the find some kind of license model that trickles value up the chain.

Even that won’t work, I suspect.