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14min chapter
Dr. Thomas Parr - Active Inference Book
Machine Learning Street Talk (MLST)
Exploring Active Inference and Neural Networks
The chapter delves into the concept of active inference, neural networks, and generative models, exploring the limitations of deep learning in mimicking human cognition. It discusses the distinction between observational and interactive systems, debates the capabilities of neural networks in learning world models, and highlights the complexity of understanding language statistics and hidden causes. The speakers also touch on their collaborative book on active inference, detailing its interdisciplinary approach and the challenges faced during its creation.
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