9 comments

  • creativeSlumber 12 minutes ago
    How relevant is this fast/slow thinking thing with regards to current frontier models?

    I know a large organization who's built their AI framework completely around this concept, and I feel that it's not really meaningful concept with the capabilities of current models.

  • red75prime 2 hours ago
    It reminds me of "At the time we drew boxes labeled 'perception', 'cognition' with arrows between them." An imprecise quote that I can't place.

    I guess my box labelled 'subconsciousness' is trying to say that low-level mechanisms that give rise to the observed cognitive phenomena might have nothing to do with neat boxes.

  • zfoong 30 minutes ago
    At least this is written before ChatGPT.
  • crorella 2 hours ago
    It looks like a lot like how data bases query optimizers work, with the exception that in the paper there is also a learning/memory component that conditions the evaluation of the answer provided by the first model.
  • sinuhe69 1 hour ago
    2021. Please remember the rule of HN to add the year if it’s not actual.
  • bbor 2 hours ago
    This is still a great paper, but it's missing the second axis of the quadric -- if the only two options are thinking fast or thinking about thinking, that leaves no room for thinking slow yet deliberately, AKA selfconsciousness. See https://www.gutenberg.org/cache/epub/4280/pg4280-images.html for details

    I do wonder if any of these folks ever got a chance to try this at one of the big labs, tho...

  • jannyfer 3 hours ago
    > submitted Oct 5 2021

    (In case people miss that before discussion)

    • tomhow 1 hour ago
      Updated, thanks!
  • aidiscoverywire 1 hour ago
    [flagged]
  • simianwords 1 hour ago
    This has already been solved by GPT 5 Adaptive reasoning. A single model that knows when to reason or not based on a thinking parameter we provide (like xhigh). What’s the relevancy to post it today?

    edit: why is this downvoted?

    • lelanthran 10 minutes ago
      > This has already been solved by GPT 5 Adaptive reasoning. A single model that knows when to reason or not based on a thinking parameter we provide (like xhigh). What’s the relevancy to post it today?

      Tell me you didn't read Daniel Khaneman's book without telling me you didn't read Daniel Khaneman's book.

      • simianwords 5 minutes ago
        Asking earnestly, I don’t know what you mean by this reply. I know what system 1 and 2 is. But this has already been solved using same model.
    • bpshaver 1 hour ago
      Surely that is obvious