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

Machine Learning Street Talk (MLST)

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Reflections on the Free Energy Principle: Successes and Challenges

This chapter explores the evolution of the free energy principle since its introduction in 2005, highlighting both its successes and the challenges of effectively communicating its concepts. It emphasizes the importance of balancing clarity and complexity in scientific discourse while recognizing its foundational role in understanding probability distributions.

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