Peter, (all); I disagree with the optimism. (a) our primary constraints at prese

Peter, (all);
I disagree with the optimism.
(a) our primary constraints at present are the capacity to conduct tests that produce the information necessary for innovation.
(b) our secondary constraints are the limit of human permutability (modeling) because of irreducibility of chemical, biochemical, biological, systems.
(c) Our third constraint is the resistance of humans who have made investment and malinvestment in disciplines vs the population who has not or cannot.
d) Our primary disadvantage is that siloing produces all sorts of negative externalities because of the inability to identify patterns across disciplines.
e) Our primary advantage from AI is presently discovery of interstitial opportunity given the siloing of disciplines in order to ‘fit’ reasoning into a domain accessible to human cognition.
I know in my case I had to master all the disciplines of high dimensionality and high closure (language, logic, neuroscience, economics, law, comparative civilization,) before I saw the failings of mathematics in particular and programming less so, and formal logic more so as the result of low dimensionality low closure – meaning low reducibility.
So IQ: Not so much. Its value is limited to available information and the structure of that information. So AI? AI’s current advantage is associative breadth and depth despite it’s incapacity for innovative prediction other than by unregulated hallucination.
So AI’s will expand the interstitial (inter-discipline) knowledge by discovery and application of patterns.
But at some near point those discoveries will run out (be exhausted) for the same reason we have exhuasted the innovations of a century ago in physics most visibly, but in all sciences as well.
Unfortunately, the constructivist and performative revolutions only partly succeeded, and unfortunately ‘philosophy’ went sideways and dead ended by the sixties. And while he’s still skewed more than a little, at least Wolfram has identified reducibility as the problem that cannot be overcome.
Cheers
CD


Source date (UTC): 2026-03-03 21:34:41 UTC

Original post: https://twitter.com/i/web/status/2028947194750136645

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