In other words they require exponentially more input because the AI doesn’t know what it is looking at.
It uses its perfect recollection of that input to create a ‘model’ of what a face should look like and stores that model like a collage of all the samples and then uses that to reproduce a face.
It’s perfect recollection with an extra step.
The reason they fuck up hands is because hands are usually moving during pictures and have many different configurations compared to any other body part.
So when these image AIs refer back to all the pictures of hands they’ve been fed and use them to create an ‘average approximation’ of what a hand looks like they include the motion blur from some of their samples, a middle finger sticking up from another sample or extra fingers from the sample pictures of people holding hands etc and mismatch them together even when it doesn’t fit in the picture being created.
The AI doesn’t know what a hand is. It is just mixing together samples from its perfect recollection.
This is incorrect actually. The models these AIs run from by definition have perfect recall and that is why they require ENORMOUS resources to run and why ChatGPT became less effective when the resources it was allocated were reduced.
-ChatGPT
Human brains don’t have perfect recollection. Every time we retell a story or remember a memory or picture an image in our head it is distorted with our own imperfections.
When I prompt an AI to create an image it samples the images it learned from with perfect recollection.
AI does not learn the same way humans do.
Because you would have to prove that the AI only learned from your work and it’s my understanding that there is no way to track what is used as learning material or even have an AI unlearn something.
The difference is a human artist can then make new unique art and contribute to the craft so it can advance and they can make a living off it. AI made art isn’t unique, it’s a collage of other art. To get art from AI you have to feed it prompts of things it’s seen before. So when AI is used for art it takes jobs from artists and prevents the craft from advancing.
In my experience with the automotive industry. AC systems leak frequently and it is very common for the leak to be so small that it is not always possible to find the source.
So the majority of the time a fluorescent dye is added to the system and it is recharged with refrigerant to help find the source when it gets low again.
It’s common to have a leak so slow and undetectable that no one notices a system is low on refrigerant until a year later when it is summer again.
Also, auto parts stores sell cans of refrigerant so anybody can just recharge a leaking system, which is often cheaper than actually fixing the leak. So these AC systems are just constantly leaking refrigerant and being recharged.
I wouldn’t be surprised if AC systems in buildings are handled similarly.
Even if a law is made that a failed part must be identified before the system can be recharged, the technician who can’t find a leak is going to just pick a part (randomly or educated guess) to replace if he can’t find the leak.
I know this is kind of off topic but I wanted to point out that the refrigerant that escapes from air conditioners when they leak or are thrown away, is a bigger contributor to climate change than the electricity they use.
If our brains worked exactly the same as AI programming then AI wouldn’t be needed because it would be no different than how we are doing things without AI.