As long as your AI doesn’t somehow infringe on your training data, you’re allowed to use whatever you want, just like reviewers, analysts, and indexers do.

We can’t have shit under capitalism. The only rights Nintendo recognizes is your right to give them money.

It’s not looking good.

They’re trained on technical material too.

The gameplay clip:

https://video.twimg.com/ext_tw_video/1832249182481952768/pu/vid/avc1/1280x720/lmHwAoHrMAx91cVI.mp4

Art isn’t work, it’s speech. It’s part of the human condition. Art is useless, said Wilde. Art is for art’s sake—that is, for beauty’s sake.

I do not make art, I just post it here on lemmy. I’d be OK with that. People freely create, copy, and iterate on memes, and they are the greatest cultural touchstones we have. First and foremost, people create because they have something to say.

People already make memes and mods for free. Humans are a social species and will continue to create and share things until the end of time. Making money off of creation is a privilege for only a tiny few.

You keep moving the goal posts and putting words in my mouth. I never said you can do new things out of nothing. Nothing I mentioned is approaching, equaling, or exceeding the effort of training a model.

You haven’t answered a single one of my questions, and you are not arguing in good faith. We’re done here. I can’t say it’s been a pleasure.

Do you have any examples of how they fail? There are plenty of ways to explain new concepts to models.

https://arxiv.org/abs/2404.19427 https://arxiv.org/abs/2406.11643 https://arxiv.org/abs/2403.12962 https://arxiv.org/abs/2404.06425 https://arxiv.org/abs/2403.18922 https://arxiv.org/abs/2406.01300

What kind of creativity are you talking about then? I’ve also never heard of a bloated model. Which models are bloated?

But at what point does that guidance just become the dataset you removed from the training data?

The whole point is that it didn’t know the concepts beforehand, and no it doesn’t become the dataset. Observations made of the training data are added to the model’s weights after training, the dataset is never relevant again as the model’s weights are locked in.

To get it to run Doom, they used Doom.

To realize a new genre, you’ll “just” have to make that game the old fashion way, first.

Or you could train a more general model. These things happen in steps, research is a process.

There are more forms of guidance than just raw words. Just off the top of my head, there’s inpainting, outpainting, controlnets, prompt editing, and embeddings. The researchers who pulled this off definitely didn’t do it with text prompts.

I mean, you’ve never seen a purple elephant with a tennis racket. None of that exists in the data set since elephants are neither purple nor tennis players. Exposure to all the individual elements allows for generation of concepts outside the existing data, even though they don’t exit in reality or in the data set.

You should read these two articles from Cory Doctorow. I think they’ll help clear up some thing for you.

https://pluralistic.net/2024/05/13/spooky-action-at-a-close-up/#invisible-hand

https://pluralistic.net/2023/02/09/ai-monkeys-paw/

It was a different word when this show aired. https://youtu.be/rMoDslz0EtI

Yeah, I really don’t get why this is news I have to keep hearing about.

Have you read this article by Cory Doctorow yet?

Yeah, I’m fine with a coalition being formed as long as there are no people like Sam Altman in it.

This isn’t undermining artists, it’s expanding access and knowledge, enabling individuals to take control of their own destinies. Open-source AI will empower artists, existing artists and newly active or returning artists who give this new medium a shot, by giving them the new tools that will push the frontiers of self-expression and redefine creativity this decade.

100 years ago photographers and filmmakers significantly disrupted the careers of most illustrators, story tellers, and theater companies of the time. Despite this, storytelling and image making exploded, entering a new golden age. Musicians panicked over the use of synthesizers in the 80s too often refusing to work with people involved with synthesizers. As a result, there are fewer drummers today than in 1970, but out of that came hip hop and house. Suppressing that tool would have been a huge cultural loss. Generative art hasn’t found its Marley Marl or Frankie Knuckles yet, but they’re out there, and they’re going to do stuff that will blow our minds. Cutting edge tools and techniques have always propelled art and artists forward. Every advancement a leap forward, leaving behind constraints and enabling more people to pursue their creative aspirations.

That reminds me of a presentation I saw a little while back.

If you want to fight against people’s right to freely communicate and express themselves, be my guest, but it’s not a fight you can win.