[dustfinger]

> Maybe we just haven't reached the level of complexity needed for human-level AI. A hint that this might be the case is that the current excitement with ML seems to be fueled by algorithms that were mostly known by the 80s (sure, with lots of recent incremental improvements, but no new big idea). What made a difference was the computational power and datasets that became available in the 2010s. I suspect the next leap will be of a similar nature. "More is different".

Regarding the nature of complexity and the notion that "More is different", I am reminded of the emergent behavior of vivisystems [1] as described in Kevin Kelley's book Out of Control [2] -- an insightful exploration of the emergent behavior expressed by complex self sustaining systems. If you have not read Out of Control then you might want to put it in your reading queue. I found it highly engaging and thought provoking.

[1] https://www.everything2.com/title/Vivisystem

[2] https://kk.org/outofcontrol/

[visarga]

I like the alternative phrase 'Quantity has a quality of its own'