Some Nintendo fans in the US are still like this.

I have a feeling this experiment would sooner get the axe than have ads injected. There was initially a waiting list, but just a few days in it was completely open to the public.

Sometimes they just do research. Like when their employees made transformers and nothing came of them until Open AI capitalized on it.

There are ads in them now? I didn’t encounter any when using it a few days ago.

I just generated one and didn’t hear any ads.

Further confirmation that Switch 2’s hardware will be hot garbage as well.

Isn’t this just the pay raise the Japanese company is forcing everyone to do? They’re pretty late. A bunch of other companies announced their raises earlier this year. Doing this in October comes off as scummy.

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.

They’re trained on technical material too.

The animation stuff you mentioned exists today:

https://www.youtube.com/watch?v=Gt1yNJ180Cs

https://www.youtube.com/watch?v=_AnovXOJOaw

https://www.youtube.com/watch?v=nAMSfmHuMOQ

They tried to make video game rentals illegal in the US. They’ve always been a shitty, anti-consumer company.

You can never learn anything with these clickbait headlines.

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.