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creativeSlumber 9 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.
bananaflag 2 hours ago [-]
You mean "Artificial Intelligence meets Natural Stupidity" by Drew McDermott
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 2 hours ago [-]
2021. Please remember the rule of HN to add the year if it’s not actual.
bbor 3 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 hours ago [-]
Updated, thanks!
aidiscoverywire 2 hours ago [-]
[flagged]
simianwords 1 hours 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 6 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 2 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.
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.
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.
https://dl.acm.org/doi/pdf/10.1145/1045339.1045340
I do wonder if any of these folks ever got a chance to try this at one of the big labs, tho...
(In case people miss that before discussion)
edit: why is this downvoted?
Tell me you didn't read Daniel Khaneman's book without telling me you didn't read Daniel Khaneman's book.