Sydney researchers find hidden limit to AI predictability

University of Sydney researchers, publishing in Nature Machine Intelligence, show that tiny differences in initial parameters can lead neural networks to learn different behaviors even with identical data, procedure and deterministic hardware. The cause is mathematical, not an engineering flaw, with implications for AI reliability.