EPISODE · May 13, 2026 · 16 MIN
Chapter 7 - The AI Winters
from The Convergence · host Robert Eberhard
The AI winters were not interruptions in the story of artificial intelligence — they were the periods during which the most important work in the field's history was being done by people the mainstream had stopped paying attention to. Herbert Simon's 1957 prediction that computers would be world chess champions within a decade was the epitome of the field's founding optimism; the Lighthill Report of 1973 was the first honest reckoning with the gap between promise and reality, and British funding was substantially cut. Geoffrey Hinton, working with Rumelhart and Williams, published the backpropagation paper in 1986, lifting the theoretical ceiling on neural networks without having the data or hardware to demonstrate what lifting that ceiling meant. Yann LeCun was teaching neural networks to read handwritten digits at Bell Laboratories with accuracy that exceeded rule-based approaches on a real commercial task, and NVIDIA was founded in 1993 to make graphics cards for video games, inadvertently building the hardware infrastructure that would eventually make large-scale neural network training possible.
What this episode covers
The AI winters were not interruptions in the story of artificial intelligence — they were the periods during which the most important work in the field's history was being done by people the mainstream had stopped paying attention to. Herbert Simon's 1957 prediction that computers would be world chess champions within a decade was the epitome of the field's founding optimism; the Lighthill Report of 1973 was the first honest reckoning with the gap between promise and reality, and British funding was substantially cut. Geoffrey Hinton, working with Rumelhart and Williams, published the backpropagation paper in 1986, lifting the theoretical ceiling on neural networks without having the data or hardware to demonstrate what lifting that ceiling meant. Yann LeCun was teaching neural networks to read handwritten digits at Bell Laboratories with accuracy that exceeded rule-based approaches on a real commercial task, and NVIDIA was founded in 1993 to make graphics cards for video games, inadvertently building the hardware infrastructure that would eventually make large-scale neural network training possible.
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Chapter 7 - The AI Winters
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