Thinking fast and slow in AI: The role of metacognition (2021)
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Thinking fast and slow in AI: The role of metacognition (2021)
Unofficial Hacker News client; not affiliated with Y Combinator.
simianwords · · focus · HN ↗
edit: why is this downvoted?
lelanthran · · focus · HN ↗
Tell me you didn't read Daniel Khaneman's book without telling me you didn't read Daniel Khaneman's book.
simianwords · · focus · HN ↗
lelanthran · · focus · HN ↗
No, it hasn't. Maybe you have a different definition of System 1 and System 2. I last read the book well over a decade ago (2011, maybe? 2012?), but System 1 and System 2 are different systems. IOW, System 2 is not a more computational version of System 1.
The argument you made implies that System 2 is just a more capable System 1, which is not what the book (nor this paper, AIUI) proposes.
In computery terms, System 1 runs in O(1) time, System 2 runs in O(log n) (or maybe just O(n)) time.
This means that any System 1 will run the input once through the heuristics, using the same computational power and taking the same time whether the input is 100 tokens or 1 million tokens, for quick but perhaps wrong decision (not "answer"). We don't have LLMs that do that. We have System 2 - run in O(log n) time and produce an answer.
System 1 is completely bereft of thought.
hoppp · · focus · HN ↗
System 1 can do multiple passes and all that, the speed is related to how aware are you of the computation occuring and system 2 must be consciously managed.
Example: You write a quick reply to a comment - thats system 1
You add two four digit numbers in your head - that will be system 2 unless you are very good, then it can be system 1 also
Why? Because memory allocations and addition computations are manually managed.