Decoding AI Thinking
Karl and Stephen delve into the complexities of AI cognition, discussing how to probe AI systems for counterfactual thinking and the challenges in understanding the intermediate levels of brain function. They explore methods to measure and identify counterfactual thinking in AI models, shedding light on the enigmatic nature of artificial intelligence.In this clip
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Machine Learning Street Talk (MLST)
THE HARD PROBLEM OF OBSERVERS - WOLFRAM & FRISTON [SPECIAL EDITION]
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