“Correlation does not equal causation.”
#ArtificialIntelligence #AI #MachineLearninghttps://twitter.com/GaryMarcus/status/1170912860815396864 …
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It's one thing to teach AI how to reason about counterfactuals given a causal model (e.g. do-calculus
@yudapearl) - seems like another (much harder) problem to generate these causal models from scratch like the human brain can seemingly do super easily from a young age
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Looking forward to reading it! Are there any avenues in neuroscience today looking at how our brains seem to pull this off so easily? Or are we still too early days in mapping/understanding the brain to be tackling problems at this lvl of abstraction yet?
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we urge cognitive science rather than neuroscience, for now, and have a chapter about what might be learned
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