4 ms·

The quality of the upper echelon of art may be raised, but there's still a discovery problem there. Having to sift through stuff to find the gems is already an

The quality of the upper echelon of art may be raised, but there's still a discovery problem there. Having to sift through stuff to find the gems is already an issue imo. The OP makes a decent (pessimistic) point

ALittleLight 4y ago
I think AI will be pretty good at doing recommendations. Show you a bit of random, get your likes and dislikes, exploit what the algorithm learned. TikTok does this well already and, I expect, will continue to do well when the content is AI generated.
- bigfudge 4y ago
  Tiktok optimises for what people spend a long time looking at, but I don’t think that anyone would claim the metric it uses is what we would want to define as quality in the broader sense.
  - bsenftner 4y ago
    I seriously wonder if Tiktok uses eye gaze tracking in their interest assessments. If people's eyes follow the same gaze pattern on a clip repeatedly, that's a damn clear indicator of interest.
    - ALittleLight 4y ago
      My personal hypothesis (based on nothing) is that TikTok just uses the very strong signal of watch time. If you watch a clip all the way, or multiple times, that's good. If you skip early - that's bad. When I had Netflix I remember being frustrated that Netflix would recommend me shows "based on" content I had watched for a few minutes, decided I didn't like, and backed out of. Why would you recommend me content if you have a strong signal I dislike it?
- NegatioN 4y ago
  I work in the area of recommendations, and this is not a solved problem at all. You can only recommend what has been shown (without doing coldstart). One major issue is that other forms of content than 30sec clips can't easily utilize TikToks way of bootstrapping engagement when the item is fresh. Not everyone will understand or appreciate a "new Shakespeare" and it may fall by the wayside. I too hope it gets better, but it's hard to replace a panel of experts that have sifted through their subject when it comes to quality recommendations in some fields.
- pixl97 4y ago
  AI won't be designed to serve the users recommendations, but what is in the best interest of the person designing the AI. There was a pretty good article on HN about this, yesterday I think, that covered this well. This is the thread: https://news.ycombinator.com/item?id=32482523 https://news.ycombinator.com/item?id=32482523 and it's well worth reading the article. TL:DR; AI is good at something, but don't expect it to be aligned with what the user wants.
TuringTest 4y ago
My opinion on the problem of "too much content to watch in several lifetimes" will not be solved on the supply side, but the demand side. All content is not created equal: we are social animals and what people around us do interests us much more, even if it is of lower quality. So, if anyone can generate professional-looking creative projects with relative little effort, we'll gravitate towards people creating content on niche subjects that interest us; thus creating small communities with high engagement. Even if they have low watch count, they'll matter to those participating in them. Fanfic communities already work that way. There always be a place for conventional mainstream media outlets creating run-of-the-mill high-production-value works, with themes averaged to appeal to the masses; it's just that they'll have a lot more competition from communities of the first type.
- bsenftner 4y ago
  Consider the extreme low quality visuals of SouthPark. They used their low quality imagery as joke enhancement for their presenting ideas far more sophisticated than the majority of animated media.
  - TuringTest 4y ago
    Exactly. And it only took a tool (Flash) that allowed a small team to do what used to require a whole company of trained experts (animated cartoons).
    - bsenftner 4y ago
      I think you missed my point: they put their energy into the writing, not the animation.
      - TuringTest 4y ago
        Maybe, but I think you missed mine: they were able to put all their energy into the writing because the animation had been made trivial by a new tool. Had they had to draw the episodes the old-fashioned way, they would have had to put a lot more energy into the animation even to get the same result.

ALittleLight 4y ago

I think AI will be pretty good at doing recommendations. Show you a bit of random, get your likes and dislikes, exploit what the algorithm learned. TikTok does this well already and, I expect, will continue to do well when the content is AI generated.

bigfudge 4y ago
Tiktok optimises for what people spend a long time looking at, but I don’t think that anyone would claim the metric it uses is what we would want to define as quality in the broader sense.
- bsenftner 4y ago
  I seriously wonder if Tiktok uses eye gaze tracking in their interest assessments. If people's eyes follow the same gaze pattern on a clip repeatedly, that's a damn clear indicator of interest.
  - ALittleLight 4y ago
    My personal hypothesis (based on nothing) is that TikTok just uses the very strong signal of watch time. If you watch a clip all the way, or multiple times, that's good. If you skip early - that's bad. When I had Netflix I remember being frustrated that Netflix would recommend me shows "based on" content I had watched for a few minutes, decided I didn't like, and backed out of. Why would you recommend me content if you have a strong signal I dislike it?
NegatioN 4y ago
I work in the area of recommendations, and this is not a solved problem at all. You can only recommend what has been shown (without doing coldstart). One major issue is that other forms of content than 30sec clips can't easily utilize TikToks way of bootstrapping engagement when the item is fresh. Not everyone will understand or appreciate a "new Shakespeare" and it may fall by the wayside. I too hope it gets better, but it's hard to replace a panel of experts that have sifted through their subject when it comes to quality recommendations in some fields.
pixl97 4y ago
AI won't be designed to serve the users recommendations, but what is in the best interest of the person designing the AI. There was a pretty good article on HN about this, yesterday I think, that covered this well. This is the thread: https://news.ycombinator.com/item?id=32482523 https://news.ycombinator.com/item?id=32482523 and it's well worth reading the article. TL:DR; AI is good at something, but don't expect it to be aligned with what the user wants.

TuringTest 4y ago

My opinion on the problem of "too much content to watch in several lifetimes" will not be solved on the supply side, but the demand side. All content is not created equal: we are social animals and what people around us do interests us much more, even if it is of lower quality. So, if anyone can generate professional-looking creative projects with relative little effort, we'll gravitate towards people creating content on niche subjects that interest us; thus creating small communities with high engagement. Even if they have low watch count, they'll matter to those participating in them. Fanfic communities already work that way. There always be a place for conventional mainstream media outlets creating run-of-the-mill high-production-value works, with themes averaged to appeal to the masses; it's just that they'll have a lot more competition from communities of the first type.

bsenftner 4y ago
Consider the extreme low quality visuals of SouthPark. They used their low quality imagery as joke enhancement for their presenting ideas far more sophisticated than the majority of animated media.
- TuringTest 4y ago
  Exactly. And it only took a tool (Flash) that allowed a small team to do what used to require a whole company of trained experts (animated cartoons).
  - bsenftner 4y ago
    I think you missed my point: they put their energy into the writing, not the animation.
    - TuringTest 4y ago
      Maybe, but I think you missed mine: they were able to put all their energy into the writing because the animation had been made trivial by a new tool. Had they had to draw the episodes the old-fashioned way, they would have had to put a lot more energy into the animation even to get the same result.