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>All the vids have that instantly recognizable GenAI "sheen" That's something that can be fixed in a future release or you can fix it right now with some filte

>All the vids have that instantly recognizable GenAI "sheen" That's something that can be fixed in a future release or you can fix it right now with some filters in post in your pipeline.

surfingdino 2y ago
> "That's something that can be easily fixed in a future release (...)" This has been the default excuse for the last 5+ years. I won't hold my breath.
- ekianjo 2y ago
  You had AI videos 5 years ago?
  - surfingdino 2y ago
    AI in general.
    - bbor 2y ago
      …I mean, it was advancing slowly for linguistic tasks until late 2022, that’s fair. That’s why we’re in such a crazy unexpected rollercoaster of an era - we accidentally cracked intuitive computing while trying to build the best text autocomplete. AI in general is from 1950, or more generally from whenever the abacus was invented. This very website runs on AI, and always has. I would implore us to speak more exactly if we’re criticizing stuff; “LLMs” came around (in force) in 2023, both for coherent language use (ChatGPT 3.5) and image use (DALLE2). The predecessors were an order of magnitude less capable, and going back 5 years puts us back in the era of “chatbots”, aka dumb toys that can barely string together a Reddit comment on /r/subredditsimulator.
      - surfingdino 2y ago
        AI so far has given us ability to mass produce shit content of no use to anybody and the next iteration of customer support phone menu trees that sound more convincingly yet remain just as useless. That and another round of IP theft and mass surveillance in the name of progress.
        kelseyfrog 2y ago
        This is a consequence of a type of cognitive bias - bad examples of AI are more easily detectable than good examples of AI. Subsequently, when we recall examples of AI content, bad examples are more easily accessible. This leads to the faulty conclusion that. > AI so far has given us ability to mass produce shit content of no use to anybody Good AI goes largely undetected, for the simple reason that it closely matches the distribution of non-AI content. Controversial aside: This is same bias that results in non-passing trans people being representative of the whole. Passing trans folk simply blend in.
        WhyOhWhyQ 2y ago
        You're making an unverifiable claim. How are we supposed to know that the undetected good AI exists at all? Everything I've seen explicitly produced by any of these models is in uncanny valley territory still, even the "good" stuff.
        deleted 2y ago
        [deleted]
        kelseyfrog 2y ago
        Don't care. Every request for verification will eventually reach the Münchhausen trilemma
        WhyOhWhyQ 2y ago
        Okay. So you are a person who does not care if what they are saying is true. Got it!
    - airstrike 2y ago
      We don't have AI in general today
- Rinzler89 2y ago
  5 years ago there were no AI videos. A bit over a year ago the best AI videos were hilarious hallucinations of Will Smith eating spaghetti. Today we have these realistic videos that are still in the uncanny valley. That's insane progress in the span of a year. Who knows what it will be like in another year. Let'em cook.
  - authorfly 2y ago
    Disco Diffusion was a (bad) thing in 2021 that lead to the spaghetti video / weird Burger Kind Ads level quality. But it ran on consumer GPUs / in Jupyter notebook. 2 years ago we had decent video generation for clips 7 months ago we have Sora https://news.ycombinator.com/item?id=39393252 https://news.ycombinator.com/item?id=39393252 (still silence since then) With these things, like DALL-E 1 and GPT-3, the original release of the game changer often comes ca. 2 years before people can actually use it. I think that's what we're looking at. I.e. it's not as fast as you think.
    - bbor 2y ago
      What video generation was decent 2 years ago? Will smith eating spaghetti was barely coherent and clearly broken, and that was March 2023 (https://knowyourmeme.com/memes/ai-will-smith-eating-spaghetti https://knowyourmeme.com/memes/ai-will-smith-eating-spaghett...). And isn’t this model open source…? So we get access to it, like, momentarily? Or did I miss something?
      - authorfly 2y ago
        So you're right to be excited, I agree. And I don't know, Meta, like OpenAI, seems to release conditionally, though yes, more. I doubt it before the election. When the Will Smith one was released, it was kind of a parody though. Tech had already been able to produce that level of "quality" for about 2 years at the time of it's publishing. The Will Smith one is honestly something you could have created with Disco Diffusion in early 2021, I used to do this back then... 2022 saw: https://makeavideo.studio/ https://makeavideo.studio/ (coherent, but low res - it was possible to upscale at extreme expense) https://sites.research.google/phenaki/ https://sites.research.google/phenaki/ https://lumiere-video.github.io/ https://lumiere-video.github.io/ It was more like 18-20 months ago sorry so early 2023, but https://runwayml.com/research/gen-1 https://runwayml.com/research/gen-1 was getting there as was https://pika.art/home https://pika.art/home - Sora obviously changed the game, but I would say these two were great.
atrus 2y ago
I think the big blind spot people have with these models is that the release pages only show just the AI output. But anyone competently using these AI tools will be using them in step X of a hundred step creative process. And it's only going to get worse as both the AI tools improve and people find better ways to integrate them into their workflow.
- Rinzler89 2y ago
  Yeah exactly. Video pipelines that go into productions we only see the end results of have a lot of steps to them beyond just the raw video output/capture. Even Netflix/Hollywood productions without VFX have a lot of retouching and post processing to them.
derefr 2y ago
Not even filters; every text2image model ever created thusfar, can be very easily nudged with a few keywords into generating outputs in a specific visual style (e.g. artwork matching the signature style of any artist it has seen the some works from.) This isn't an intentional "feature" of these models; rather, it's kind of an inherent part of how such models work — they learn associations between tokens and structural details of images. Artists' names are tokens like any other, and artists' styles are structural details like any other. So, unless the architecture and training of this model are very unusual, it's gonna at least be able to give you something that looks like e.g. a "pencil illustration."

>All the vids have that instantly recognizable GenAI "sheen" That's something that can be fixed in a future release or you can fix it right now with some filters in post in your pipeline.

surfingdino 2y ago

> "That's something that can be easily fixed in a future release (...)" This has been the default excuse for the last 5+ years. I won't hold my breath.

ekianjo 2y ago
You had AI videos 5 years ago?
- surfingdino 2y ago
  AI in general.
  - bbor 2y ago
    …I mean, it was advancing slowly for linguistic tasks until late 2022, that’s fair. That’s why we’re in such a crazy unexpected rollercoaster of an era - we accidentally cracked intuitive computing while trying to build the best text autocomplete. AI in general is from 1950, or more generally from whenever the abacus was invented. This very website runs on AI, and always has. I would implore us to speak more exactly if we’re criticizing stuff; “LLMs” came around (in force) in 2023, both for coherent language use (ChatGPT 3.5) and image use (DALLE2). The predecessors were an order of magnitude less capable, and going back 5 years puts us back in the era of “chatbots”, aka dumb toys that can barely string together a Reddit comment on /r/subredditsimulator.
    - surfingdino 2y ago
      AI so far has given us ability to mass produce shit content of no use to anybody and the next iteration of customer support phone menu trees that sound more convincingly yet remain just as useless. That and another round of IP theft and mass surveillance in the name of progress.
      - kelseyfrog 2y ago
        This is a consequence of a type of cognitive bias - bad examples of AI are more easily detectable than good examples of AI. Subsequently, when we recall examples of AI content, bad examples are more easily accessible. This leads to the faulty conclusion that. > AI so far has given us ability to mass produce shit content of no use to anybody Good AI goes largely undetected, for the simple reason that it closely matches the distribution of non-AI content. Controversial aside: This is same bias that results in non-passing trans people being representative of the whole. Passing trans folk simply blend in.
        WhyOhWhyQ 2y ago
        You're making an unverifiable claim. How are we supposed to know that the undetected good AI exists at all? Everything I've seen explicitly produced by any of these models is in uncanny valley territory still, even the "good" stuff.
        deleted 2y ago
        [deleted]
        kelseyfrog 2y ago
        Don't care. Every request for verification will eventually reach the Münchhausen trilemma
        WhyOhWhyQ 2y ago
        Okay. So you are a person who does not care if what they are saying is true. Got it!
  - airstrike 2y ago
    We don't have AI in general today
Rinzler89 2y ago
5 years ago there were no AI videos. A bit over a year ago the best AI videos were hilarious hallucinations of Will Smith eating spaghetti. Today we have these realistic videos that are still in the uncanny valley. That's insane progress in the span of a year. Who knows what it will be like in another year. Let'em cook.
- authorfly 2y ago
  Disco Diffusion was a (bad) thing in 2021 that lead to the spaghetti video / weird Burger Kind Ads level quality. But it ran on consumer GPUs / in Jupyter notebook. 2 years ago we had decent video generation for clips 7 months ago we have Sora https://news.ycombinator.com/item?id=39393252 https://news.ycombinator.com/item?id=39393252 (still silence since then) With these things, like DALL-E 1 and GPT-3, the original release of the game changer often comes ca. 2 years before people can actually use it. I think that's what we're looking at. I.e. it's not as fast as you think.
  - bbor 2y ago
    What video generation was decent 2 years ago? Will smith eating spaghetti was barely coherent and clearly broken, and that was March 2023 (https://knowyourmeme.com/memes/ai-will-smith-eating-spaghetti https://knowyourmeme.com/memes/ai-will-smith-eating-spaghett...). And isn’t this model open source…? So we get access to it, like, momentarily? Or did I miss something?
    - authorfly 2y ago
      So you're right to be excited, I agree. And I don't know, Meta, like OpenAI, seems to release conditionally, though yes, more. I doubt it before the election. When the Will Smith one was released, it was kind of a parody though. Tech had already been able to produce that level of "quality" for about 2 years at the time of it's publishing. The Will Smith one is honestly something you could have created with Disco Diffusion in early 2021, I used to do this back then... 2022 saw: https://makeavideo.studio/ https://makeavideo.studio/ (coherent, but low res - it was possible to upscale at extreme expense) https://sites.research.google/phenaki/ https://sites.research.google/phenaki/ https://lumiere-video.github.io/ https://lumiere-video.github.io/ It was more like 18-20 months ago sorry so early 2023, but https://runwayml.com/research/gen-1 https://runwayml.com/research/gen-1 was getting there as was https://pika.art/home https://pika.art/home - Sora obviously changed the game, but I would say these two were great.

atrus 2y ago

I think the big blind spot people have with these models is that the release pages only show just the AI output. But anyone competently using these AI tools will be using them in step X of a hundred step creative process. And it's only going to get worse as both the AI tools improve and people find better ways to integrate them into their workflow.

Rinzler89 2y ago
Yeah exactly. Video pipelines that go into productions we only see the end results of have a lot of steps to them beyond just the raw video output/capture. Even Netflix/Hollywood productions without VFX have a lot of retouching and post processing to them.

derefr 2y ago

Not even filters; every text2image model ever created thusfar, can be very easily nudged with a few keywords into generating outputs in a specific visual style (e.g. artwork matching the signature style of any artist it has seen the some works from.) This isn't an intentional "feature" of these models; rather, it's kind of an inherent part of how such models work — they learn associations between tokens and structural details of images. Artists' names are tokens like any other, and artists' styles are structural details like any other. So, unless the architecture and training of this model are very unusual, it's gonna at least be able to give you something that looks like e.g. a "pencil illustration."