FallenWalnutMajor investor is 'shocked and sad' that the games industry is 'demonizing' generative AI
ShaggySnacksYeah, I’d say that’s one of the reasons they don’t like it! Others include the use of artists’ work without consent, environmental issues, the quality of AI output, and the feeling that automating culture production can only result in what is now commonly called "AI slop
Summed it prefectly why people hate AI in culture. AI can be very useful in science, medicine, engineering, and similar professions. When the AI is built upon very specific data set. There is no conscious reasoning behind why the AI did what when it makes art.
Generative AI is just slop. It takes previous works and repackages it what the code says. When people make art, there are hundreds of micro decisions that people make. Those micro decisions are gone when AI makes it. Gabi Belle did a great video of why they hate AI art. youtu.be/QtZDkgzjmQI
AI has already ruined music
AI is generally only considered useful in professions people aren’t actually familiar with. AKA it isn’t in its current form to actual experts in anything.
“Generative AI is great at doing everything I suck at, but it’s completely terrible at the things I actually know!”
Too many people think that this and do not seem to understand that it is pretty shitty at everything. Well, except getting people to kill themselves, I guess. It’s pretty good at doing that.
Queue the serial killer telling me that I don’t know what I’m talking about and that they could get people to kill themselves so much better and easier.
With the way AI companies seem to avoid liability for everything. Fantastic way of becoming a serial killer. Can we workshop some serial killer names?
ShotGPT? Anthraxic?
Part of the probleem is how broad the term ai is, and how narrowly it is used. People just mean autoregressor llms and maybe diffusion models, while the term ai is much broader than even machine learning (for instance formal reasoning), which is again broader than backpropagation with gradient descent (for instance boosted trees) which is again broader than generative ai (for instance classifiers and deep learning). All of these are definitely useful in science and engineering and have been for decades, although llms are now beginning to find uses as well.