Critique of "Barriers to Complexity-Theoretic Proofs that Achieving AGI Using Machine Learning is Intractable"

The paper "Barriers to Complexity-Theoretic Proofs that Achieving AGI Using Machine Learning is Intractable" fails to definitively prove the intractability of achieving AGI through machine learning due to an unproven assumption about data distribution and a lack of consideration for inductive biases in learning algorithms.