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In case anyone else had problems finding it - it's at the bottom of the page: https://makeavideo.studio/assets/a_golden_retriever_eating_ice_cream_on_a_beautif

by tpmx 4y ago

In case anyone else had problems finding it - it's at the bottom of the page: https://makeavideo.studio/assets/a_golden_retriever_eating_ice_cream_on_a_beautiful_tropical_beach_at_sunset,_high_resolution__22.webp https://makeavideo.studio/assets/a_golden_retriever_eating_i... (webp) That grasp though. These things still feel a bit like e.g. Google/GCP services to me: Super appealing at first glance, quite close to what you want, but somehow never quite there. Maybe they'll asymptotically get there, eventually? Perhaps that statistical model can't really make it to the level we want it to?

mach1ne 4y ago
It may be that it's the deep learning tech which will never quite get there. GPT-3 has similar shortcomings in its mimicry. We're 95% there, I guess, but may never quite reach 100%.
- rany_ 4y ago
  > the deep learning tech which will never quite get there Never say never, we've come a long way since GPT-2! All this was unthinkable back then
  - mach1ne 4y ago
    It's certainly possible. I find it somewhat unlikely though, despite the fast-paced progress.
    - tpmx 4y ago
      I get the same feeling as well. This approach may well be eternal demo-ware, and you'll actually need AGI (or manual direction by a real human) to get to 100%.
- anigbrowl 4y ago
  Nah, the current issues are just because we're trying to do everything in one step. Because we've built tools that have so much of a stimulus-response approach, few efforts have been made toward interfaces that ask for clarification ('when you say X, do you mean XYZ or XXX?'). Image-to-image and tuning already addresses many of these issues; just as inpainting works really well, it won't be long before we have select-and-repair, where you add an additional prompt like 'improve this part - the ice cream is fine, just work on the dog's muzzle.'
  - deleted 4y ago
    [deleted]
  - mach1ne 4y ago
    The mistakes the AI makes are too numerous and hard-to-define for this to work I think. They could perhaps be addressed by having two different models trained differently, each fixing the errors of the other. When humans draw a realistic artwork, it's not 'single-pass'; they have to iterate on the details to get it right.
- ilaksh 4y ago
  On the home page of HN at the moment is something like GPT but much better. It's at character.ai
inerte 4y ago
I’ve found that replacing the bad parts with new ones, like Dalle Outpainting, can remove the worst parts of the image, like the hands here… doesn’t make it perfect, but certainly removes the worst offenders that instantly bring attention to themselves.

by tpmx 4y ago

mach1ne 4y ago

It may be that it's the deep learning tech which will never quite get there. GPT-3 has similar shortcomings in its mimicry. We're 95% there, I guess, but may never quite reach 100%.

rany_ 4y ago
> the deep learning tech which will never quite get there Never say never, we've come a long way since GPT-2! All this was unthinkable back then
- mach1ne 4y ago
  It's certainly possible. I find it somewhat unlikely though, despite the fast-paced progress.
  - tpmx 4y ago
    I get the same feeling as well. This approach may well be eternal demo-ware, and you'll actually need AGI (or manual direction by a real human) to get to 100%.
anigbrowl 4y ago
Nah, the current issues are just because we're trying to do everything in one step. Because we've built tools that have so much of a stimulus-response approach, few efforts have been made toward interfaces that ask for clarification ('when you say X, do you mean XYZ or XXX?'). Image-to-image and tuning already addresses many of these issues; just as inpainting works really well, it won't be long before we have select-and-repair, where you add an additional prompt like 'improve this part - the ice cream is fine, just work on the dog's muzzle.'
- deleted 4y ago
  [deleted]
- mach1ne 4y ago
  The mistakes the AI makes are too numerous and hard-to-define for this to work I think. They could perhaps be addressed by having two different models trained differently, each fixing the errors of the other. When humans draw a realistic artwork, it's not 'single-pass'; they have to iterate on the details to get it right.
ilaksh 4y ago
On the home page of HN at the moment is something like GPT but much better. It's at character.ai

inerte 4y ago

I’ve found that replacing the bad parts with new ones, like Dalle Outpainting, can remove the worst parts of the image, like the hands here… doesn’t make it perfect, but certainly removes the worst offenders that instantly bring attention to themselves.