A critique showing that complexity proofs claiming machine learning cannot achieve AGI rest on unjustified data-distribution assumptions and face definitional barriers around intelligence and inductive biases.
Reclaiming ai as a theoretical tool for cognitive science
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Barriers to Complexity-Theoretic Proofs that "AGI" Using Machine Learning is Impossible
A critique showing that complexity proofs claiming machine learning cannot achieve AGI rest on unjustified data-distribution assumptions and face definitional barriers around intelligence and inductive biases.