3 ms·

Incorrect. Training images are used to generate a latent manifold which might not contain any of the images in the original training set to within a meaningful

Incorrect. Training images are used to generate a latent manifold which might not contain any of the images in the original training set to within a meaningful delta unless they're massively overrepresented or cliche.

phoe-krk 4y ago
This might be technically correct but doesn't seem to matter much in practice because of how many practical cases of NN outputting copyright-infriging content there are. These include examples in the recent lawsuits that made the rounds on HN. Either even the best specialists behind these NNs cannot make the NNs not contain data that is "massively overrepresented or cliche", or they are unwilling to.
- CuriouslyC 4y ago
  Or they're focusing on performance to get the tools to the place where they're good enough to start being adopted. Once getting sued is more of a problem than not having a product at all, it's not hard to switch gears. I imagine there are a number of ways to avoid storing "too close" copies in a model that have various tradeoffs, I'm sure they'll be adopted quickly in the face of litigation.
- fzil 4y ago
  > the recent lawsuits that made the rounds on HN I happened to have missed those discussions, do you have some links you can point towards? thanks!
  - phoe-krk 4y ago
    https://stablediffusionlitigation.com/ https://stablediffusionlitigation.com/ https://githubcopilotlitigation.com/ https://githubcopilotlitigation.com/ Both along with their respective HN threads.
    - fzil 4y ago
      thanks a lot!
    - Auracle 4y ago
      I’m still not seeing those examples, at least in the Stable Diffusion link. Even in my overfitted dreambooth model of my wife it doesn’t pop out the exact same portraits.
- throwaway675309 4y ago
  "Many practical cases of NN outputting copyright-infriging content there are" I have seen very few practical cases of generative models such as copilot and even less of a stable diffusion of reproducing original copyrighted works in exact detail, and the few that I did encounter were instructed torturously to do so, which strikes me as highly contrived.
danbolt 4y ago
> to within a meaningful delta This feels like an argument for communism being the most productive system in theory. Most of the time I feel like I see uninspired material that’s tracing it’s own training data.
- CuriouslyC 4y ago
  How is that any different from looking at human art?
  - danbolt 4y ago
    When humans do it within a delta, it’s considered copyright infringement. Machines currently are adept at making copies within a delta, hence articles such as this to limit copyright so the people who operate said machines can profit.

phoe-krk 4y ago

This might be technically correct but doesn't seem to matter much in practice because of how many practical cases of NN outputting copyright-infriging content there are. These include examples in the recent lawsuits that made the rounds on HN. Either even the best specialists behind these NNs cannot make the NNs not contain data that is "massively overrepresented or cliche", or they are unwilling to.

CuriouslyC 4y ago
Or they're focusing on performance to get the tools to the place where they're good enough to start being adopted. Once getting sued is more of a problem than not having a product at all, it's not hard to switch gears. I imagine there are a number of ways to avoid storing "too close" copies in a model that have various tradeoffs, I'm sure they'll be adopted quickly in the face of litigation.
fzil 4y ago
> the recent lawsuits that made the rounds on HN I happened to have missed those discussions, do you have some links you can point towards? thanks!
- phoe-krk 4y ago
  https://stablediffusionlitigation.com/ https://stablediffusionlitigation.com/ https://githubcopilotlitigation.com/ https://githubcopilotlitigation.com/ Both along with their respective HN threads.
  - fzil 4y ago
    thanks a lot!
  - Auracle 4y ago
    I’m still not seeing those examples, at least in the Stable Diffusion link. Even in my overfitted dreambooth model of my wife it doesn’t pop out the exact same portraits.
throwaway675309 4y ago
"Many practical cases of NN outputting copyright-infriging content there are" I have seen very few practical cases of generative models such as copilot and even less of a stable diffusion of reproducing original copyrighted works in exact detail, and the few that I did encounter were instructed torturously to do so, which strikes me as highly contrived.

danbolt 4y ago

> to within a meaningful delta This feels like an argument for communism being the most productive system in theory. Most of the time I feel like I see uninspired material that’s tracing it’s own training data.

CuriouslyC 4y ago
How is that any different from looking at human art?
- danbolt 4y ago
  When humans do it within a delta, it’s considered copyright infringement. Machines currently are adept at making copies within a delta, hence articles such as this to limit copyright so the people who operate said machines can profit.