4 ms·

AI businesses/models are capturing economic value: the problem is that costs are increasing much faster than revenue.

dheera 3y ago
No, Stability isn't getting 99.99% of the money people are making from Stable Diffusion. Their (lack of a) business model is the problem.
Satam 3y ago
With the current limitations of AI in mind, it often looks like a solution looking for a problem. It's too unreliable, slow, dumb, and too expensive for a lot of the tasks companies would like to use it for. And that becomes part of the problem because it's hard to sell unreliable technology unless you design the product in a way that plays well with the current shortcomings. We will get there, but it's still a few iterations away.
- BigJono 3y ago
  I don't think it's that SD and LLMs are solutions looking for problems, it's that there are very clear problems to which they provide 90% of a solution and make it impossible to clear the last 10%. They're the new WYSIWYG/low-code. Everyone that doesn't fully understand the problem space thinks they're some ultimate solution that is going to revolutionise everything. People that do are responding with a resounding 'meh'. Stable Diffusion is a great example. Something that can generate consistent game assets would be an absolute game changer for the entire game industry and open up a new wave of high tech indie game development, but despite every "oh wow" demo hitting the front page of HN, we've had the tech for a couple of years now and the only thing that's come out of it is some janky half solutions (3D meshes from pictures that are unworkable in real games, still no way to generate assets in consistent styles without a huge amount of complex tinkering) and a bunch of fucking hentai lol.
  - roenxi 3y ago
    A game with no consistency in the art is probably enabled. We've crossed the threshold where something like Magic the Gathering could be recreated by a tiny team and a low budget. I don't think the limiting factor here is the software; it looks like we got AI-generated art pretty much as soon as consumer graphics cards could handle it (10 years ago it would have been quite hard). I'd be measuring progress in hardware generations not years and from that perspective Stable Diffusion is young.
    - callalex 3y ago
      Current AI is entirely incapable of generating the balanced and fun/engaging rule sets required for a MtG style game. Sure the art assets could be generated with skilled prompting and touchup but even that is nowhere close to the strong statement you made.
      - VladimirGolovin 3y ago
        OP likely meant that a Midjourney-level AI can easily generate all the card art. Obviously, current AIs cannot generate game rulesets because the game feel is an internal phenomenon that cannot be represented in the material domain and therefore AIs cannot train on it.
      - nine_k 3y ago
        It does not take a large team to generate interesting and balanced rules. I'd hazard to say that with a larger team the task becomes harder. Creating the art, on the other hand, goes from a week per card to half a day per card, or something similar.
  - liuliu 3y ago
    Palworld
  - livueta 3y ago
    And even a lot of the hentai is fucking worthless for the same reasons! Try generating some kinbaku. It's really hard to get something where all the rope actually connects and interacts sensibly because it doesn't actually know what a knot is. Instead, you end up with M. C. Escher: Fetish Edition.
- tiborsaas 3y ago
  We use AI for simple tasks and it already pays off. It's not unreliable if you do it right.

No, Stability isn't getting 99.99% of the money people are making from Stable Diffusion. Their (lack of a) business model is the problem.

Satam 3y ago

With the current limitations of AI in mind, it often looks like a solution looking for a problem. It's too unreliable, slow, dumb, and too expensive for a lot of the tasks companies would like to use it for. And that becomes part of the problem because it's hard to sell unreliable technology unless you design the product in a way that plays well with the current shortcomings. We will get there, but it's still a few iterations away.

BigJono 3y ago
I don't think it's that SD and LLMs are solutions looking for problems, it's that there are very clear problems to which they provide 90% of a solution and make it impossible to clear the last 10%. They're the new WYSIWYG/low-code. Everyone that doesn't fully understand the problem space thinks they're some ultimate solution that is going to revolutionise everything. People that do are responding with a resounding 'meh'. Stable Diffusion is a great example. Something that can generate consistent game assets would be an absolute game changer for the entire game industry and open up a new wave of high tech indie game development, but despite every "oh wow" demo hitting the front page of HN, we've had the tech for a couple of years now and the only thing that's come out of it is some janky half solutions (3D meshes from pictures that are unworkable in real games, still no way to generate assets in consistent styles without a huge amount of complex tinkering) and a bunch of fucking hentai lol.
- roenxi 3y ago
  A game with no consistency in the art is probably enabled. We've crossed the threshold where something like Magic the Gathering could be recreated by a tiny team and a low budget. I don't think the limiting factor here is the software; it looks like we got AI-generated art pretty much as soon as consumer graphics cards could handle it (10 years ago it would have been quite hard). I'd be measuring progress in hardware generations not years and from that perspective Stable Diffusion is young.
  - callalex 3y ago
    Current AI is entirely incapable of generating the balanced and fun/engaging rule sets required for a MtG style game. Sure the art assets could be generated with skilled prompting and touchup but even that is nowhere close to the strong statement you made.
    - VladimirGolovin 3y ago
      OP likely meant that a Midjourney-level AI can easily generate all the card art. Obviously, current AIs cannot generate game rulesets because the game feel is an internal phenomenon that cannot be represented in the material domain and therefore AIs cannot train on it.
    - nine_k 3y ago
      It does not take a large team to generate interesting and balanced rules. I'd hazard to say that with a larger team the task becomes harder. Creating the art, on the other hand, goes from a week per card to half a day per card, or something similar.
- liuliu 3y ago
  Palworld
- livueta 3y ago
  And even a lot of the hentai is fucking worthless for the same reasons! Try generating some kinbaku. It's really hard to get something where all the rope actually connects and interacts sensibly because it doesn't actually know what a knot is. Instead, you end up with M. C. Escher: Fetish Edition.
tiborsaas 3y ago
We use AI for simple tasks and it already pays off. It's not unreliable if you do it right.