State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

Key to resolve: Is Consciousness the first person experiencer or the first person awareness of the very experiencer?

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

State-of-the-art machine learning models struggle with generalization which can only be achieved by proper accounting for core knowledge priors.

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