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AI Winter (Wikipedia)
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Good(3)Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
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Useful historical background for understanding AI development cycles and the risks of overhyped expectations; relevant to discussions of current AI progress timelines and potential future slowdowns.
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Importance: 40/100wiki pagereference
Summary
This Wikipedia article describes the historical periods known as 'AI winters' — times of reduced funding, interest, and progress in artificial intelligence research following cycles of hype and disappointment. It covers the causes, timeline, and lessons of multiple AI winters in the 1970s and 1980s, offering context for understanding AI development cycles.
Key Points
- •AI winters are periods of reduced funding and interest in AI, typically following overpromising and underdelivering on AI capabilities.
- •Two major AI winters occurred: the first in the mid-1970s and the second in the late 1980s to early 1990s.
- •Hype cycles, unrealistic expectations, and failure to achieve promised results are key drivers of AI winter periods.
- •Government agencies and private investors cut funding after repeated failures to meet milestones, illustrating the boom-bust nature of AI development.
- •Understanding AI winters is relevant to current discussions about AI hype, capability timelines, and the sustainability of AI progress.
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| Page | Type | Quality |
|---|---|---|
| AI Timelines | Concept | 95.0 |
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AI winter - Wikipedia
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From Wikipedia, the free encyclopedia
Period of reduced funding and interest in AI research
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In the history of artificial intelligence (AI), an AI winter is a period of reduced funding and interest in AI research. [ 1 ] The field has experienced several hype cycles , followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or even decades later.
The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the "American Association of Artificial Intelligence"). [ 2 ] Roger Schank and Marvin Minsky —two leading AI researchers who experienced the "winter" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the 1980s and that disappointment would certainly follow. They described a chain reaction, similar to a " nuclear winter ", that would begin with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. [ 2 ] Three years later the billion-dollar AI industry began to collapse.
There were two major "winters" approximately 1974–1980 and 1987–2000, [ 3 ] and several smaller episodes, including the following:
1966: failure of machine translation
1969: criticism of perceptrons (early
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