AI's idea started before powerful computers, with 1940s thinkers believing machines could mimic human intelligence.
The episode explores the history of AI, from its early conceptual origins in the 1940s-50s, through periods of hype and disappointment like AI winters, to the revival via machine learning and deep learning that led to today's boom. It highlights key milestones, such as the 1956 coining of the term, and concludes with optimism about AI's future impact and accessibility.

As heard by us

A clear history lesson that explains today's AI boom by following the failures and shifts that made it possible.

Jaden Schaefer steps back from the current AI news cycle and traces how the field got here. He opens with symbolic AI, then follows the dead ends of rule based systems, the hype and the winters that followed, and the point where machine learning began to win out as data, cheaper…

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Want the backstory behind today's AI frenzy?

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