Why do we need this? Why do we need to synthetically generate art, content and other media that humans enjoy creating themselves? Weren't the machines supposed to make labour easier? Why is OpenAI - with a nobel name like that - creating something like Sora, instead of state-of-the-art medical models? Is the current gen AI state a stepping stone to much more useful applications?
I understand the appeal when it comes to writing code, it does really speed things up and leaves the creativity to the programmer.
But so far, I've only seen gen AI be used for low-effort content, gimmicky apps and fraud. Yes, it is an interesting technology but still, why generate media?
What do you think?
TV used to be terribly expensive to produce and distribute and was controlled by only a few big players. Today, your child can make a TV program and distribute on YouTube. Some even get rich. Modern music creation tools give everyone a chance to participate in the joy of music without learning to read it or navigate a piano keyboard. The classical musicians we've all heard of were from rich families that could afford a (very expensive) piano.
Generative art tools allow people to exercise their creative vision -- even when it exceeds their ability to execute. That's quite a big deal. The automobile allowed people to exceed their ability to walk, for example.
While folks who make their living from the "old ways" (and I'm one of them) could see this as a threat, it's really an opportunity. There will always be a market for human effort and hand labor. Velveeta didn't kill the market for artisanal cheese. AI song generators aren't going to stop the next Stevie Wonder. And generative art won't keep filmmakers and designers from making great new stuff. It will just bring those things to more people, cheaper, and faster.
That may be a stretch, but it's the most charitable explanation for OpenAI's behavior that I can come up with. Art as practice for something else.
Perhaps later we'll be generating things like fungal species which leech lithium from the depths and bring it to the surface for extraction. That would be truly useful. But there's not very much training data for such a thing, so we're not focusing on it until we get our techniques sorted out in other domains.
Also, you'd have to be a double-specialist to work on such a thing. Both AI and Micology. Those are hard to find and take a long time to train. Much easier to find is the double specialist in AI and things-that-look-cool.
> Weren't the machines supposed to make labour easier? Those new “machines” were supposed to make certain activities even cheaper than hiring the cheapest workers, and make companies owning them indispensable providers for most businesses. That's how they intend to make money. Laborers can now do some other shitty job for new kings.
> Is the current gen AI state a stepping stone to much more useful applications? No, it's just marketing.
I think very few people enjoy laying tiles or connecting a toilet, so a robot in combination with an AI would be the more obvious target for a company. I guess one answer is that it doesn't scale, it's not pure software and the market for tile laying robots is limited. An AI that can easily generate artwork for anyone to offer via a subscription service generates more money.