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AI winters: the booms and busts before this one

Tech & AI

AI winters: the booms and busts before this one

12 min

Artificial intelligence has surged and collapsed several times since the 1950s, each hype cycle followed by a funding drought. Explore the history of AI winters and the case for and against 'this time is different.'

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Show notes

The first AI winter began when the Lighthill Report identified the hurdle of combinatorial explosion.

The Mansfield Amendment restricted DARPA funding to military applications, causing a massive research slowdown.

XCON saved Digital Equipment Corporation forty million dollars annually using early if-then rule systems.

The LISP machine market collapsed because general-purpose workstations from Sun Microsystems made specialized hardware obsolete.

AlexNet revived deep learning by proving statistical pattern recognition could outperform human-written symbolic logic.

Modern AI relies on three pillars: massive datasets, graphics processing units, and the transformer architecture.

In this episode

  1. 1Intro1 min
  2. 2The Golden Era and the First Frost2 min
  3. 3The Expert Systems Boom and the LISP Crash3 min
  4. 4The Quiet Spring: Deep Learning's Slow Ascent3 min
  5. 5Is This Time Different? The Case for Permanence2 min
  6. 6Outro1 min

Sources

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AI winters: the booms and busts before this one — Fylom