I’m sure there are some AI peeps here. Neural networks scale with size because the number of combinations of parameter values that work for a given task scales exponentially (or, even better, factorially if that’s a word???) with the network size. How can such a network be properly aligned when even humans, the most advanced natural neural nets, are not aligned? What can we realistically hope for?

Here’s what I mean by alignment:

  • Ability to specify a loss function that humanity wants
  • Some strict or statistical guarantees on the deviation from that loss function as well as potentially unaccounted side effects
  • Brochetudo@feddit.de
    link
    fedilink
    arrow-up
    2
    arrow-down
    3
    ·
    edit-2
    1 year ago

    Pal, I want of whatever you smoked prior to writing this

    Now seriously, from the way you wrote the post, I believe that you might not have had hands-on experience with deep learning techniques and may very well have just watched a handful of videos on YouTube instead

    • preasketOP
      link
      fedilink
      arrow-up
      2
      ·
      1 year ago

      Well, this is showerthoughts! 🤣

      Did I say something wrong?