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AI Winter (Wikipedia)

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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.

Cited by 1 page

PageTypeQuality
AI TimelinesConcept95.0

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 From Wikipedia, the free encyclopedia 
 
 
 
 
 
 Period of reduced funding and interest in AI research 
 Part of a series on Artificial intelligence (AI) 
 Major goals 
 Artificial general intelligence 

 Intelligent agent 

 Recursive self-improvement 

 Planning 

 Computer vision 

 General game playing 

 Knowledge representation 

 Natural language processing 

 Robotics 

 AI safety 
 
 
 Approaches 
 Machine learning 

 Symbolic 

 Deep learning 

 Bayesian networks 

 Evolutionary algorithms 

 Hybrid intelligent systems 

 Systems integration 

 Open-source 

 AI data centers 
 
 
 Applications 
 Bioinformatics 

 Deepfake 

 Earth sciences 

 Finance 

 Generative AI 
 Art 

 Audio 

 Music 
 

 Government 

 Healthcare 
 Mental health 
 

 Industry 

 Software development 

 Translation 

 Military 

 Physics 

 Projects 
 
 
 Philosophy 
 AI alignment 

 Artificial consciousness 

 The bitter lesson 

 Chinese room 

 Friendly AI 

 Ethics 

 Existential risk 

 Turing test 

 Uncanny valley 

 Human–AI interaction 
 
 
 History 
 Timeline 

 Progress 

 AI winter 

 AI boom 

 AI bubble 
 
 
 Controversies 
 Deepfake pornography 
 Taylor Swift deepfake pornography controversy 

 Grok sexual deepfake scandal 
 

 Google Gemini image generation controversy 

 It's the Most Terrible Time of the Year 

 Pause Giant AI Experiments 

 Removal of Sam Altman from OpenAI 

 Statement on AI Risk 

 Tay (chatbot) 

 Théâtre D'opéra Spatial 

 Voiceverse NFT plagiarism scandal 
 
 
 Glossary 
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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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