Discover how AI moved from rigid rules to learning from data, inspired by the human brain.
This episode traces the history of AI from its early symbolic roots in the 1940s-50s, through periods of hype and disappointment like AI winters, to the breakthroughs in deep learning and large language models that define the modern era. Host Jaden Schaefer explains how shifts in data, compute, and techniques led to today's AI boom, emphasizing its practical impact and future potential.

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A brisk origin story that makes todays AI boom feel less accidental.

Jaden Schaefer steps back from the daily AI churn and tells the field's longer story, from symbolic AI and the AI winters to machine learning, neural networks, and the gains in data, compute, and training that helped push the next wave forward.

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Want the backstory behind today's AI frenzy?

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