• @[email protected]
    link
    fedilink
    70
    edit-2
    5 months ago

    And if they’re not, the client can download the video twice and diff the copies.

    The most pernicious thing they could do is randomize the ads across users, but serve each user the same ads each time. In that case, you’d need a peer-to-peer client to compare hashes of chunks with other users to detect the ad segments.

      • 0^2
        link
        fedilink
        115 months ago

        Yeah that could work… What about creating some sort of *arr for YouTube videos that downloads them and processes them with some sort of AI audio/video processing to remove the ads and recombine the video.

        Youtubarr it could be called. If we really want we can also remove the ads from the creator in the video too. It would still count as a view to the video too so creator won’t lose out on money.

        Anyone with objections to this?

        • @[email protected]
          link
          fedilink
          35 months ago

          It’s a neat idea, but computer vision stuff can get quite computationally expensive when done locally and is prone to input poisoning attacks (especially if the models used are open source).

          Not saying it wouldn’t be possible, but I think some of the other ideas posed here would be better starting places.

    • @[email protected]
      link
      fedilink
      65 months ago

      Or get the video once with a YouTube premium account and cut out anything that doesn’t match from the free version.

    • @[email protected]
      link
      fedilink
      35 months ago

      There’s no such thing as “download the video”. It’s a stream of small chunks, which can be re-arranged by back-end in any way, shape and form.