If you go to Reddit, you will inevitably very quickly come by posts that seem to be from regular users, but are actually fill-a ads.

Funny thing happened and I just happened to be eating their food when I filmed it. We did a thing and it failed at other joints but succeeded at their place. My dog can do a cool thing with their box, etc etc.

It feels like they have an army of as people dedicated to creating this content.

It started soon after they got a lot of bad press for finding anti-LGBTQ organizations. Instead of changing their ways, they decided to change their image through social media posts and largely succeeded. Most people associate their brand with good times now, even though they don’t know why.

Much like whenever US police murders someone, Web gets flooded with memes and videos of cops doing fun things and being generally great fun.

They already run what seems to be every other post on Reddit, so why not streaming, too.

Looks like the person who yanked the blowtorch was the real unsung hero of this take.

“metadata” is such a pretty word. How about “recipe” instead? It stores all information necessary to reproduce work verbatim or grab any aspect of it.

The legal issue of copyright is a tricky one, especially in the US where copyright is often being weaponized by corporations. The gist of it is: The training model itself was an academic endeavor and therefore falls under a fair use. Companies like StabilityAI or OpenAI then used these datasets and monetized products built on them, which in my understanding skims gray zone of being legal.

If these private for-profit companies simply took the same data and built their own, identical dataset they would be liable to pay the authors for use of their work in commercial product. They go around it by using the existing model, originally created for research and not commercial use.

Lemmy is full of open source and FOSS enthusiasts, I’m sure someone can explain it better than I do.

All in all I don’t argue about the legality of AI, but as a professional creative I highlight ethical (plagiarism) risks that are beginning to arise in majority of the models. We all know Joker, Marvel superheroes, popular Disney and WB cartoon characters - and can spot when “our” generations cross the line of copying someone else’s work. But how many of us are familiar with Polish album cover art, Brazilian posters, Chinese film superheroes or Turkish logos? How sure can we be that the work “we” produced using AI is truly original and not a perfect copy of someone else’s work? Does our ignorance excuse this second-hand plagiarism? Or should the companies releasing AI models stop adding features and fix that broken foundation first?

Actually no, but thanks for letting me know, I like his content.

In many cases the AI company is “selling you” the image by making users pay for the use of the generator. Sure, there are free options, too - but just giving you an example.

I was on the same page as you for the longest time. I cringed at the whole “No AI” movement and artists’ protest. I used the very same idea: Generations of artists honed their skills by observing the masters, copying their techniques and only then developing their own unique style. Why should AI be any different? Surely AI will not just copy works wholesale and instead learn color, composition, texture and other aspects of various works to find it’s own identity.

It was only when my very own prompts started producing results I started recognizing as “homages” at best and “rip-offs” at worst that gave me a stop.

I suspect that earlier generations of text to image models had better moderation of training data. As the arms race heated up and pace of development picked up, companies running these services started rapidly incorporating whatever training data they could get their hands on, ethics, copyright or artists’ rights be damned.

I remember when MidJourney introduced Niji (their anime model) and I could often identify the mangas and characters used to train it. The imagery Niji produced kept certain distinct and unique elements of character designs from that training data - as a result a lot of characters exhibited “Chainsaw Man” pointy teeth and sticking out tongue - without as much as a mention of the source material or even the themes.

I think the problem is that you cannot ask AI not to plagiarize. I love the potential of AI and use it a lot in my sketching and ideation work. I am very wary of publicly publishing a lot of it though, since, especially recently, the models seem to be more and more at ease producing ethically questionable content.

The problem in here is that while the Joker is a pretty recognizable cultural icon, somebody using an AI may have genuinely original idea for an image that just happens to have been independently developed by someone before. As a result, the AI can produce an image that’s a copy or close reproduction of an original artwork without disclosing its similarity to the source material. The new “author” then will unknowingly rip off the original.

The prompts to reproduce joker and other superhero movies were quite specific, but asking for “Animated Sponge” is pretty innocent. It is not unthinkable that someone may not be familiar with Mr. Squarepants and think they developed an original character using AI

These models were trained on datasets that, without compensating the authors, used their work as training material. It’s not every picture on the net, but a lot of it is scrubbing websites, portfolios and social networks wholesale.

A similar situation happens with large language models. Recently Meta admitted to using illegally pirated books (Books3 database to be precise) to train their LLM without any plans to compensate the authors, or even as much as paying for a single copy of each book used.

Because the original Joker design is not just something that occurred in nature, out of nowhere. It was created by another artist(s) who don’t get credit or compensation for their work.

When YouTube “essayists” cobble script together by copy pasting paragraphs and changing some words around and then then earn money off the end product with zero attribution, we all agree it’s wrong. Corporations doing the same to images are no different.

Yes it is. Honest answer.

Check out the rest of Posy’s channel. Some really good stuff from this guy

None of the Reddit interfaces were ever any good IMHO. The service was only usable thanks to third party readers that redefined its user experience. Without them it’s about as pleasant as gopher.

Yup. Both the desktop website and the official app are garbage UX. With no third party app option, I could not use Reddit even if I wanted to.

It’s such a bullshit article. For almost it’s entire mission, Perseverance is exploding an ancient river delta. It’s been doing it for years!

For anyone interested, I strongly recommend Mars Guy YouTube channel https://youtube.com/@MarsGuy?si=uGXt3X6GWDpvI78Q Every Sunday he reports on what the rovers (and helicopter) have been up to on Mars. Fascinating stuff.

Arkinsaw

Congrats, glad it worked out for you :)

Love the idea, but just to be the devil’s advocate, I think it will just mask garbage videos. Currently, the clickbait thumbnails and titles are an indicator to blacklist a channel, without having to waste time watching it.

Don’t ever quit.

Screw that. Quitting is healthy, quitting is good. Nothing worse than digging yourself deeper and deeper based on sunk cost fallacy.