Yes, I don’t think it’s a matter of training.

The diffusion model generates pictures by starting on a canvas with random pixels, then it edits those pixel colours and carves the picture out of that chaos

To achieve an area with all the same colour, it would need to put very exact values on the last generation step.

It can be fixed easily with a very subtle lowpass filter, but that would be human intervention. The model itself will have a hard time replicating it

Two that I noticed are:

For drawings in the ghibli style, you can see noise on areas that should have all the same colour. That’s because of how the diffusion model works, it’s very hard for it to replicate lack of variation in colours. If fact that noise will always exist, it’s just more noticeable on simple styles.

For music, specifically with Suno, it tends to use the similar sounding instruments between different tracks of the same specifispecified genres, and those sounds might change during the track and never come back to their original sound (because it generates section by section of the track from start to end, the transformer model will feed the last sections back as input to generate the new ones, amplifying possible biases in the model)

It is conceivable.

For example, imagine a society like ours but where everyone, no matter their wealth, has to do essential jobs, taking turns. For example everyone in your city needs to be a garbage collector for one week every 2 years, or they need to work in hospitals to help clean patients for a week every year, maybe you need to work in the fields for a month every 2 years, basically all jobs that people only do because they can’t do anything less tiresome plus jobs that are now almost fully automated to produce essentials but still require some labour.

In that system, you’d always have enough workforce to give everyone enough food, homes, healthcare and education to live, while people might still work at secondary non-essential jobs, voluntarily, and gaining a bit more to have their fancy cars and yatch.

This is a conceptual society where, despite the possibility for individual differences, you don’t really have classes, because no matter if you were born in poverty or you are Elon Musk, you all have to take part on essential services equally.

I recently made a pdf with some of my notes on hints of AI in images and music, but I’m not sure how to send files here

It’s not easy ofc, and it will get harder with time, but I am convinced we can tell if trained a bit. Because there are clear differences in the creative processes between humans and machines, which will always result in different biases

With time I think we’ll learn to only trust people we have some social connection with, so we know they are real and they don’t use AI (or they use it up to a level acceptable to us)

You could try Google’s new NotebookLM if the legal writing is a book, or even just a long document

Otherwise just use any llm and ask step by step checking references

Imo the main difference would be that genAI models have been trained on a whole lot of art without consent, and the few privileged companies who are able to do this are making a ton of money (mainly by investors, not sure how much from paying users). Which is very extractive and centralised. Using others’ art to do memes at least is distributed and not that remunerative

Putting AI aside, if we see art used in a meme of a random shitposter, it feels different than a political party or a big corporation using that art to do meme propaganda/advertisement.

Another interesting field for this is YouTube poops. They use tons of copyrighted materials, from big movies to local youtubers to advertisement. I would consider that fair, but if instead a big television network had a program showing youtubers’ content without permission that’s another story

Another example: Undertale’s soundtrack being made with Earthbound’s sound effects and samples. If it weren’t an indie, especially if it was a big publisher using an indie’s sounds, it wouldn’t have been well received.

So back to AI, when it comes to a person using it for their own projects, the issue to me isn’t really using stolen art, but using a tool that was made with an extractive theft of art by a big corporation, rather than seeking collaboration with artists, using existing CreativeCommons stuff, etc.

We also have to keep the context in mind: copyright laws mainly serve big publishers, hardly ever it protects smaller creators from such big publishers, in any field. The genAI training race is based on a complete lack of interest in applying or at least discussing the law.

I’m glad to see tho that thanks to this phenomenon more and more people are seeing how IP doesn’t make any sense to begin with. Just keep in mind copyright and attribution are two different things.

Artichokes

I think generators have some kind of inherent style that we somehow learn to recognise

Like sure they have learned on thousands of styles for each type of image, and you have some control of the style through prompt, but one issue with the transformer decoder model (the principles of which back almost all genAI at this point) is that at each generation step it gets the stuff generated so far as input.

This feedback loop might induce repeated choices even on different prompts in the later stages of the generation. This is not apparent on images because they are seen all at once, but it is pretty evident on Suno (at least v3): later parts of different songs might share sounds. At least in my experiments making it generate EDM. I’m now able to spot the synth it often ends up creating.

In terms of pictures and videos, that might be a reason generated stuff are consistently uncanny across image types.

The bulk of my salary depends on the company I work in and my boss’ decisions

I have a much higher ability and chance to change that, compared to changing the tax system.

Taxes are just a fraction of my salary, and they supposedly also cover for my future pension. Meanwhile, most of my taxes pays for state jobs for essential services, such as schools and healthcare. Others pay for debt interests, for money that was used to invest in the country or pay said services.

Sure, a part of it is bad management and ill intentions, but that’s such a small portion of my salary. Depending where you live, you might be paying some vere generous retirement plans, but most of the retirement money goes to old people who would otherwise require help from their family.

So no, I don’t really care about my taxes. If I feel I don’t have enough money, there are other things I can do than complaining about them

My humble opinion: burnout exists, laziness doesn’t

Laziness is a buzzword concept to describe way too many states of mind, downplaying the causes of lack of motivation.

I think there are some words that, if avoided, allow deeper investigation into important things, and “lazy” is in the top 10 of that list