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Karl Friston - Why Intelligence Can't Get Too Large (Goldilocks principle)

Machine Learning Street Talk (MLST)

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Redefining Intelligence: Beyond Biology

This chapter explores the concept of intelligence in non-human entities, such as viruses and slime molds, challenging traditional notions of cognition. It discusses the implications of scale, agency, and complexity in determining the nature of intelligence, while highlighting the balance necessary for optimal organizational structure. The conversation underscores the significance of emergent behaviors in large systems and the limitations of intelligence as entities increase in size and complexity.

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