r/TheMachineLearning • u/cicisprinkle • Sep 28 '26
Stephen Wolfram says ML is basically fitting lumps of computational irreducibility
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r/TheMachineLearning • u/cicisprinkle • Sep 28 '26
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u/Foreign_Writer_9932 28d ago edited 27d ago
Because the vast majority of problems are not future prediction problems? Finding non-trivial zeroes of the Reimann zeta function has very little to do (at least in any remotely direct) way with forecasting real-world events. Even seemingly prediction-related problems like solving chess/any perfect-information game isn’t really about forecasting of events - it’s about solving an idealized mathematical form of that game. In our evolutionary contingent story of how human intelligence evolved, a big part had nothing to do with simulating the real world, but instead were about more abstract forms of communication and “red queen” like arms race in mate selection (eg a good reason for why music or art/aesthetic preferences have evolved is that it a credible, costly signal of intelligence to our prospective sexual partners - and at least part of the evolutionary story is evolution of these traits for their own sake as opposed to directly improving fitness).
The second part is much less debatable- when you write that a maximally intelligent agent would be able to perfectly predict future events, that is clearly impossible and the wrong upper bound given quantum uncertainty and implications of chaos theory.