Humans are very efficient computers for many types of tasks. Humans also have a large body of multi-modal data with detailed annotations inferred by observatio

Humans are very efficient computers for many types of tasks. Humans also have a large body of multi-modal data with detailed annotations inferred by observation of other people's responses passed through our mirror circuitry that is unavailable to the AI, so they can sometimes provide relevant guidance even if they aren't better at the whole task. Finally, human neural networks are chaotic, so they can potentially find better global maximums in some cases than a model, which might end up trapped in a local minimum due to its inability to entertain sufficiently unlikely hypotheticals.