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If AI's So Smart, Why Can't It Grasp Cause and Effect?

2 pointsby piccogabrieleabout 5 years ago

1 comment

sovok_xabout 5 years ago
Usual ML models take static slices of data and process them. Human brain, on the order hand, used to work with dynamic data, even within a single perceptual frame, and timing of events is a major variable there. No surprise that those ML models or what they call AIs are so bad at causality: they operate in different mode.