Comment on Court Bans Use of 'AI-Enhanced' Video Evidence Because That's Not How AI Works

• Natanael@slrpnk.net ⁨7⁩ ⁨months⁩ ago

  There’s a lot of other layers in brains that’s missing in machine learning. These models don’t form world models and some have an understanding of facts and have no means of ensuring consistency, to start with.

  source

  • rdri@lemmy.world ⁨7⁩ ⁨months⁩ ago

    I mean if we consider just the reconstruction process used in digital photos it feels like current ai models are already very accurate and won’t be improved by much even if we made them closer to real “intelligence”.

    The point is that reconstruction itself can’t produce missing details, not that a “properly intelligent” mind will be any better at it than current ai.

    source
  • lightstream@lemmy.ml ⁨7⁩ ⁨months⁩ ago

    They absolutely do contain a model of the universe which their answers must conform to. When an LLM hallucinates, it is creating a new answer which fits its internal model.

    source

    • Natanael@slrpnk.net ⁨7⁩ ⁨months⁩ ago

      Statistical associations is not equivalent to a world model, especially because they’re neither deterministic nor even tries to prevent giving up conflicting answers. It models only use of language

      source
• Jesus_666@lemmy.world ⁨7⁩ ⁨months⁩ ago

  Your comment is a good reason why these tools have no place in the courtroom: The things you describe as imagination.

  They’re image generation tools that will generate a new, unrelated image that happens to look similar to the source image. They don’t reconstruct anything and they have no understanding of what the image contains. All they know is which color the pixels in the output might probably have given the pixels in the input.

  It’s no different from giving a description of a scene to an author, asking them to come up with any event that might have happened in such a location and then trying to use the resulting short story to convict someone.

  source

  • rdri@lemmy.world ⁨7⁩ ⁨months⁩ ago

    They don’t reconstruct anything and they have no understanding of what the image contains.

    With enough training they, in fact, will have some understanding. But that still leaves us with that “enhance meme” problem aka the limited resolution of the original data. There are no means to discover what exactly was hidden between visible pixels, only approximate. So yes you are correct, just described it a bit differently.

    source

    • lightstream@lemmy.ml ⁨7⁩ ⁨months⁩ ago

      they, in fact, will have some understanding

      These models have spontaneously acquired a concept of things like perspective, scale and lighting, which you can argue is already an understanding of 3D space.

      What they do not have (and IMO won’t ever have) is consciousness. The fact we have created machines that have understanding of the universe without consciousness is very interesting to me. It’s very illuminating on the subject of what consciousness is, by providing a new example of what it is not.

      source

      • rdri@lemmy.world ⁨7⁩ ⁨months⁩ ago

        I think AI doesn’t need consciousness to be able to say what is on the picture, or to guess what else could specific details contain.

        source