27 Dec 2025
1h 37m

The 3 Laws of Knowledge [César Hidalgo]

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Machine Learning Street Talk (MLST)

The discussion centers on understanding knowledge, its growth, diffusion, and value, as explored in Cesar Hidalgo's book, "The Infinite Alphabet and the Loss of Knowledge." Hidalgo argues for a scientific study of knowledge, governed by laws affecting its growth, diffusion, and value estimation, emphasizing its non-fungible nature. He contrasts this with the traditional economic view of knowledge as an undifferentiated, accumulable quantity. The conversation explores knowledge diffusion, highlighting the importance of physical embodiment and experiential learning, referencing examples like Samuel Slater and the rebuilding of the Ise Temple. The discussion also covers disruptive innovation, Moore's Law, and the role of migration in knowledge diffusion, using the example of Vietnamese migrants in the US.

Outlines

Part 1: Foundations and Laws of Knowledge

Part 2: Embodiment and Classification

Part 3: Organizational Learning and Innovation

Part 4: The First Law: Learning Curves and Tacit Knowledge

Part 5: Physicality and Decay of Knowledge

Part 6: Scaling and Disruptive Cycles

Part 7: Geography, Migration, and Diffusion

Part 8: Global Development and the China Case Study

Part 9: Complexity, Measurement, and AI

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