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Primary-Source Reference

Minds & Machines

Docs Catalog

The complete catalog of primary-source documents — papers, reports, letters, rulings, statutes, lectures — referenced across all 81 Minds & Machines articles. Each Tier 1 document has a verified canonical source URL and an SEO-optimized description.

52 Tier 1 docs8 eras88 verified source URLs
52Documents
0Published
8Eras
88Source URLs

The complete catalog

All 52 Tier 1 documents, organized by era. Each entry links to verified primary sources and cross-references the main series articles that cite it.

The Mechanical Era

Pre-19009
  1. 1206The Book of Knowledge of Ingenious Mechanical Devicesal-Jazari's 1206 treatise on 50 mechanical devices including programmable automata — the earliest known record of programmable machinery in history.al-Jazarihistorical document1 source
  2. 1637Discourse on the MethodDescartes' 1637 foundational work establishing methodological skepticism and rational inquiry — setting the intellectual stage for the mechanistic view of mind.René Descarteshistorical document2 sources
  3. 1641Meditations on First PhilosophyDescartes' 1641 treatise introducing mind-body dualism — separating thinking substance from physical substance, shaping AI's mind-body problem.René Descarteshistorical document2 sources
  4. 1747L'Homme Machine (Man a Machine)La Mettrie's 1747 radical materialist treatise arguing humans are complex machines — anticipating the physicalist assumptions of modern AI.Julien Offray de La Mettriehistorical document2 sources
  5. 1816Frankenstein, or the Modern PrometheusMary Shelley's 1818 novel about creating artificial life — the foundational literary exploration of the creator's responsibility to the created.Mary Shelleyhistorical document2 sources
  6. 1842Notions sur la Machine Analytique (Sketch of the Analytical Engine)Menabrea's 1842 French paper describing Babbage's Analytical Engine lectures in Turin — the paper Ada Lovelace translated and famously annotated in 1843.Luigi Federico Menabreahistorical document2 sources
  7. 1843Note G — Algorithm for Computing Bernoulli NumbersAda Lovelace's 1843 algorithm for computing Bernoulli numbers — widely recognized as the world's first published computer program, written for Babbage's Analytical Engine.Ada Lovelacehistorical document2 sources
  8. 1854An Investigation of the Laws of ThoughtGeorge Boole's 1854 book formalising the algebra of logic — the foundation of Boolean algebra underlying all digital computation and modern AI.George Boolehistorical document2 sources
  9. 1885Criminal Law Amendment Act 1885The 1885 UK Act criminalising gross indecency — the law under which Oscar Wilde and Alan Turing were prosecuted, with devastating consequences for Turing.UK Parliamentlegislation1 source

The Foundations

1900–19495
  1. 1909The Machine StopsE.M. Forster's 1909 short story depicting humanity in isolated cells communicating via screens — a prophetic vision of AI-mediated isolation.E.M. Forsterpaper2 sources
  2. 1910Principia MathematicaWhitehead and Russell's 1910-1913 three-volume work deriving all mathematics from logic — the foundation of formal logic that AI inherited.Alfred North Whitehead and Bertrand Russellpaper2 sources
  3. 1920R.U.R. (Rossum's Universal Robots)Karel Čapek's 1920 play that introduced the word 'robot' — exploring artificial workers who rebel against their creators, the foundational AI-risk myth.Karel Čapekpaper2 sources
  4. 1921Tractatus Logico-PhilosophicusWittgenstein's 1921 work arguing philosophical problems arise from misunderstanding language — influencing symbolic AI and limits of formal representation.Ludwig Wittgensteinpaper2 sources
  5. 1943A Logical Calculus of the Ideas Immanent in Nervous ActivityMcCulloch and Pitts' 1943 paper proposing the first mathematical model of the neuron — the conceptual origin of neural networks.McCulloch and Pittspaper1 source

The Birth of AI

1950–197911
  1. 1950Computing Machinery and IntelligenceAlan Turing's 1950 Mind paper proposing the 'imitation game' — the Turing Test — as a practical substitute for 'can machines think?'.Alan Turingpaper2 sources
  2. 1950Programming a Computer for Playing ChessShannon's 1950 paper establishing computer chess foundations — proposing minimax search with evaluation functions, the basis of all game AI until AlphaZero.Claude Shannonpaper2 sources
  3. 1955A Proposal for the Dartmouth Summer Research Project on Artificial IntelligenceThe 1955 proposal by McCarthy, Minsky, Rochester, and Shannon that named 'artificial intelligence' and convened the 1956 Dartmouth workshop — AI's founding document.McCarthy, Minsky, Rochester, and Shannonproposal2 sources
  4. 1956The Logic Theory Machine — A Complex Information Processing SystemNewell, Shaw, and Simon's 1956 paper describing the Logic Theorist — the first AI program, which proved theorems from Principia Mathematica.Newell, Shaw, and Simonpaper1 source
  5. 1959Some Studies in Machine Learning Using the Game of CheckersArthur Samuel's 1959 paper on his checkers program — the first self-learning program, coining 'machine learning' and introducing self-play.Arthur Samuelpaper2 sources
  6. 1966ALPAC Report (Languages and Machines: Computers in Translation and Linguistics)The 1966 NRC report that killed machine translation research in the US for a decade — concluding MT was not feasible in the near term.Automatic Language Processing Advisory Committee (ALPAC)report2 sources
  7. 1966ELIZA — A Computer Program for the Study of Natural Language Communication Between Man and MachineWeizenbaum's 1966 CACM paper describing ELIZA — the chatbot simulating a psychotherapist, exposing how easily humans project understanding onto machines.Joseph Weizenbaumreport2 sources
  8. 1969Perceptrons: An Introduction to Computational GeometryMinsky and Papert's 1969 book analyzing the limits of perceptrons — controversial for its role in the neural network winter that followed.Marvin Minsky and Seymour Papertpaper2 sources
  9. 1970The Mansfield Amendment (1969)The 1969 US defense procurement law requiring DARPA to fund only mission-relevant research — triggering the first AI funding contraction.US Congresslegislation1 source
  10. 1973The Lighthill Report (Artificial Intelligence: A General Survey)James Lighthill's 1973 report to the UK Science Research Council — the most-referenced document in the series, triggering the British AI funding collapse.James Lighthillreport2 sources
  11. 1976Computer Power and Human Reason: From Judgment to CalculationWeizenbaum's 1976 critique of AI — arguing some tasks should not be delegated to computers, even if technically possible.Joseph Weizenbaumpaper2 sources

The Symbolic Era & First Winter

1980–19994
  1. 1980Minds, Brains, and ProgramsJohn Searle's 1980 paper introducing the Chinese Room argument — the most-cited philosophical critique of strong AI and the syntax-vs-semantics debate.John Searlepaper2 sources
  2. 1986Parallel Distributed Processing (PDP)Rumelhart and McClelland's 1986 PDP books — the foundational texts of connectionism that revived neural networks and introduced backpropagation.Rumelhart and McClellandpaper2 sources
  3. 1990Unified Theories of CognitionAllen Newell's 1990 book proposing SOAR — a unified cognitive architecture modeling human cognition across all tasks, culminating the symbolic-AI tradition.Allen Newellpaper2 sources
  4. 1998Gradient-Based Learning Applied to Document RecognitionLeCun et al.'s 1998 IEEE paper describing LeNet-5 — the first production CNN, used to read 10-20% of US checks in the late 1990s.LeCun et al.paper2 sources

The Probabilistic Turn

2000–20142
  1. 2008Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering ModelYehuda Koren's 2008 KDD paper — the winning Netflix Prize entry, blending matrix factorization with neighborhood methods.Yehuda Korenpaper1 source
  2. 2012ImageNet Classification with Deep Convolutional Neural NetworksKrizhevsky, Sutskever, and Hinton's 2012 AlexNet paper — the breakthrough that won ILSVRC by 10.8 points and launched the deep learning era.Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hintonpaper2 sources

The Deep Learning Revolution

2015–20194
  1. 2015A Review of Deep LearningYoshua Bengio's 2014 arXiv review — a foundational deep learning survey written just before the field's explosion, by one of its three godfathers.LeCun, Bengio, and Hintonreport1 source
  2. 2016Deep LearningLeCun, Bengio, and Hinton's 2015 Nature review — the definitive deep learning survey by its three godfathers, on the eve of the field's commercial explosion.LeCun, Bengio, and Hintonpaper2 sources
  3. 2019Human Compatible: Artificial Intelligence and the Problem of ControlStuart Russell's 2019 book articulating the alignment problem — proposing cooperative inverse reinforcement learning for AI that pursues human values.Stuart Russellpaper2 sources
  4. 2019The 2018 Turing Award LectureHinton, LeCun, and Bengio's 2018 Turing Award lecture — the three godfathers of deep learning reflecting on the field's history and future.Geoffrey Hinton, Yann LeCun, and Yoshua Bengiolecture2 sources

The LLM Era

2020–20223
  1. 2020Language Models are Few-Shot LearnersBrown et al.'s 2020 GPT-3 paper — the 175B-parameter language model that demonstrated in-context learning and pivoted the entire AI industry.Tom Brown et al. (OpenAI)paper2 sources
  2. 2021Abstraction and Analogy-Making in Artificial IntelligenceMelanie Mitchell's 2021 paper arguing abstraction and analogy-making are core to general intelligence — and that current AI systems fall short.Melanie Mitchellpaper1 source
  3. 2022ReAct: Synergizing Reasoning and Acting in Language ModelsYao et al.'s 2022 ReAct paper — the prompting technique where LLMs interleave reasoning traces with actions, foundational to AI agents.Yao et al.paper1 source

The Current Moment

2023+14
  1. 2023Executive Order 14110 on AIBiden's October 30, 2023 Executive Order on AI — the most comprehensive US federal AI action, invoking the Defense Production Act for safety reporting.Joseph R. Biden Jr.legislation2 sources
  2. 2023GPT-4 Technical ReportOpenAI's 2023 technical report on GPT-4 — describing capabilities, evaluation across academic and professional benchmarks, and conservative release.OpenAIreport2 sources
  3. 2023GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language ModelsEloundou et al.'s 2023 OpenAI paper estimating 80% of US workers will have at least 10% of their tasks affected by LLMs.Eloundou, Manning, Mishel, and Rockpaper1 source
  4. 2023Generative Agents: Interactive Simulacra of Human BehaviorPark et al.'s 2023 paper on 'Smallville' — 25 LLM-powered agents exhibiting emergent social behavior, a landmark in agent-based AI research.Park et al.paper1 source
  5. 2023Getty Images (US) Inc. v. Stability AI Inc.Getty's January 2023 copyright lawsuit against Stability AI — alleging unauthorised use of millions of Getty photos to train Stable Diffusion.Getty Imageslegal case1 source
  6. 2023Sparks of Artificial General Intelligence: Early Experiments with GPT-4Bubeck et al.'s 2023 Microsoft Research paper arguing GPT-4 shows 'sparks' of AGI — controversial but influential in the LLM capabilities debate.Bubeck et al.paper1 source
  7. 2023Statement on AI RiskCAIS's May 2023 one-sentence statement — 'mitigating extinction risk from AI should be a global priority alongside pandemics and nuclear war' — signed by AI leaders.Center for AI Safetyletter2 sources
  8. 2023The Bletchley DeclarationThe November 2023 declaration from the first international AI Safety Summit at Bletchley Park — the first US-China agreement on AI risk, signed by 28 nations.AI Safety Summit (UK Government)report2 sources
  9. 2023The Economic Potential of Generative AIMcKinsey's 2023 report estimating generative AI could add $2.6-4.4 trillion annually to the global economy — the most-cited economic impact estimate.McKinseyreport1 source
  10. 2023The New York Times Company v. Microsoft Corporation and OpenAI Inc.The NYT's December 2023 lawsuit against OpenAI and Microsoft — the most consequential LLM-training copyright case, will define fair use for AI.The New York Times Companylegal case2 sources
  11. 2024Accurate structure prediction of biomolecular interactions with AlphaFold 3Abramson et al.'s 2024 Nature paper introducing AlphaFold 3 — extending protein folding to predict interactions between proteins, DNA, RNA, and ligands.Abramson et al.paper2 sources
  12. 2024The EU AI ActRegulation (EU) 2024/1689 — the world's first binding horizontal AI regulation, in force August 2024, with risk-based tiers and prohibited AI uses.European Parliament and Council of the European Unionlegislation2 sources
  13. 2024The EU AI Act and Open Source AIFLI's 2024 analysis of how the EU AI Act treats open source AI — the key regulatory question for the open weights AI movement.the Future of Life Institutereport1 source
  14. 2024The Economic Impact of Generative AI on Creative ProfessionsThe Authors Guild's 2024 analysis of how generative AI is displacing writers, illustrators, and other creative professionals.the Authors Guild and other creator organisationsreport1 source

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