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 "transcript": "[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14). The paste is the Overview expanded (the 'AI Mode Conversation' view).] The 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted.\n\n[QUERENT] The Literary History of Artificial Intelligence\n\n[SYSTEM] View all\nThe literary history of artificial intelligence spans thousands of years of human storytelling, stretching from ancient mythological automata to modern algorithmic text generation.\n\nAncient and Mythological Roots (3,000 BCE – 19th Century)\n\n• Classical Automata: Stories of artificial beings and mechanical servants appear in early epics, such as Homer’s Iliad (describing golden handmaidens forged by Hephaestus) and Apollonius Rhodius’s Argonautica (featuring Talos, a bronze giant protecting Crete).\n• Proto-Computing and Fiction: In the 19th century, Mary Shelley’s Frankenstein (1818) explored the ethical and emotional consequences of creating life or intelligence, while Ada Lovelace envisioned analytical engines capable of musical and symbolic composition beyond mere number crunching.\n• The Word \"Robot\": Czech playwright Karel Čapek introduced the term \"robot\" in his 1921 play R.U.R. (Rossum’s Universal Robots), depicting artificial workers that eventually rebel against humanity.\n\nEarly 20th-Century Writing Machines and Manuals (c. 1890–1970)\n\n• Combinatorial Plot Devices: Long before neural networks, writers and inventors experimented with systematic and algorithmic approaches to storytelling. For example, French author Georges Polti published The 36 Dramatic Situations (1895), arguing that all plots could be mapped and recombined.\n• Industrialized Writing: The late 19th and early 20th centuries saw writing manuals, creative writing formulas, and mechanical plot-generator games (such as Robo the Game That Writes a Million Story Plots) designed to automate or systematize narrative creation.\n• Exhibitions and Archives: Collaborative research projects, such as the Columbia University Literary AI Exhibition, explore how early writing techniques and manuals laid the groundwork for machine-generated prose and poetry.\n\nThe Birth of Formal AI and Science Fiction (1950s–Present)\n\n• The 1956 Dartmouth Workshop: John McCarthy and his colleagues formally coined the term \"artificial intelligence,\" proposing that every aspect of learning or intelligence could be simulated by a machine—an idea that heavily mirrored literary and philosophical explorations of the possible.\n• Utopian and Dystopian Visions: Science fiction literature repeatedly split AI into dual trajectories: helpful companions (like Star Trek's Data or Star Wars's R2-D2) versus existential threats.\n• From Symbolic Logic to Deep Learning: Modern large language models trace their lineage back through decades of debate between rule-based symbolic AI and connectionist neural networks, arriving at contemporary transformer-based text generation.\nWould you like to explore a specific era (such as 19th-century gothic fiction or mid-century cybernetics) or focus on how modern LLMs relate to early plot generators?\nUniversity of Cambridge\nFrom Homer to HAL: 3000 years of AI narratives | University of Cambridge\n# From Homer to HAL: 3000 years of AI narratives We have been writing about artificial intelligence for almost as long as stories have been written. Now, resear...\nNarrative Intelligence Lab\nLiterary AI - CU Narrative Intelligence Lab - Columbia University\nResearch Team Events Book Series Resources Lab/Notes Project description Filed under: curatorial Literary AI Alex Gil, Melina Moe, Dennis Yi Tenen Literary Hist...\nColumbia University\nOn Literary AI\n# On Literary AI The Literary History of Artificial Intelligence is a collaboration between the Columbia English Department, the Columbia University Rare Books ...\nTableau\nWhat is the history of artificial intelligence (AI)? - Tableau\n1921: Czech playwright Karel Čapek released a science fiction play “Rossum's Universal Robots ” which introduced the idea of “artificial people” which he named ...\nIEEE Computer Society\nLiterature and Artificial Intelligence\n# A “LITERARY” PERSPECTIVE ON THE HISTORY OF ARTIFICIAL INTELLIGENCE Thus, it is also stated in the project proposal of McCarthy, Minsky, Rochester, and Shannon...\nYouTube·Author Events\n23m\nDennis Yi Tenen | Literary Theory for Robots: How Computers Learned to Write\nYouTube·ParkNotes\n11m\nA Quick History of Artificial Intelligence + Book Recommendations\nThe Science Survey\nThe Evolution of Literature in the Age of Artificial Intelligence\n# Yet with this shift comes an uncomfortable question: if a machine can write, what happens to the value of human storytelling? * Ironically, literature predict...\nTikTok·professorcasey\n1:28\nUnderstanding Artificial Intelligence: A Brief History\nYouTube·Museum of Science\n0:27\nOrigins of AI: Ada Lovelace and the Evolution of Artificial Intelligence\nAI responses may include mistakes. Learn more",
 "transcript_raw": "AI Mode Conversation\n\n\nYou said: The Literary History of Artificial IntelligenceThe Literary History of Artificial Intelligence\n\nView all\nThe literary history of artificial intelligence spans thousands of years of human storytelling, stretching from ancient mythological automata to modern algorithmic text generation.\n\nAncient and Mythological Roots (3,000 BCE – 19th Century)\n\n• Classical Automata: Stories of artificial beings and mechanical servants appear in early epics, such as Homer’s Iliad (describing golden handmaidens forged by Hephaestus) and Apollonius Rhodius’s Argonautica (featuring Talos, a bronze giant protecting Crete).\n• Proto-Computing and Fiction: In the 19th century, Mary Shelley’s Frankenstein (1818) explored the ethical and emotional consequences of creating life or intelligence, while Ada Lovelace envisioned analytical engines capable of musical and symbolic composition beyond mere number crunching.\n• The Word \"Robot\": Czech playwright Karel Čapek introduced the term \"robot\" in his 1921 play R.U.R. (Rossum’s Universal Robots), depicting artificial workers that eventually rebel against humanity.\n\nEarly 20th-Century Writing Machines and Manuals (c. 1890–1970)\n\n• Combinatorial Plot Devices: Long before neural networks, writers and inventors experimented with systematic and algorithmic approaches to storytelling. For example, French author Georges Polti published The 36 Dramatic Situations (1895), arguing that all plots could be mapped and recombined.\n• Industrialized Writing: The late 19th and early 20th centuries saw writing manuals, creative writing formulas, and mechanical plot-generator games (such as Robo the Game That Writes a Million Story Plots) designed to automate or systematize narrative creation.\n• Exhibitions and Archives: Collaborative research projects, such as the Columbia University Literary AI Exhibition, explore how early writing techniques and manuals laid the groundwork for machine-generated prose and poetry.\n\nThe Birth of Formal AI and Science Fiction (1950s–Present)\n\n• The 1956 Dartmouth Workshop: John McCarthy and his colleagues formally coined the term \"artificial intelligence,\" proposing that every aspect of learning or intelligence could be simulated by a machine—an idea that heavily mirrored literary and philosophical explorations of the possible.\n• Utopian and Dystopian Visions: Science fiction literature repeatedly split AI into dual trajectories: helpful companions (like Star Trek's Data or Star Wars's R2-D2) versus existential threats.\n• From Symbolic Logic to Deep Learning: Modern large language models trace their lineage back through decades of debate between rule-based symbolic AI and connectionist neural networks, arriving at contemporary transformer-based text generation.\nWould you like to explore a specific era (such as 19th-century gothic fiction or mid-century cybernetics) or focus on how modern LLMs relate to early plot generators?\nUniversity of Cambridge\nFrom Homer to HAL: 3000 years of AI narratives | University of Cambridge\n# From Homer to HAL: 3000 years of AI narratives We have been writing about artificial intelligence for almost as long as stories have been written. Now, resear...\nNarrative Intelligence Lab\nLiterary AI - CU Narrative Intelligence Lab - Columbia University\nResearch Team Events Book Series Resources Lab/Notes Project description Filed under: curatorial Literary AI Alex Gil, Melina Moe, Dennis Yi Tenen Literary Hist...\nColumbia University\nOn Literary AI\n# On Literary AI The Literary History of Artificial Intelligence is a collaboration between the Columbia English Department, the Columbia University Rare Books ...\nTableau\nWhat is the history of artificial intelligence (AI)? - Tableau\n1921: Czech playwright Karel Čapek released a science fiction play “Rossum's Universal Robots ” which introduced the idea of “artificial people” which he named ...\nIEEE Computer Society\nLiterature and Artificial Intelligence\n# A “LITERARY” PERSPECTIVE ON THE HISTORY OF ARTIFICIAL INTELLIGENCE Thus, it is also stated in the project proposal of McCarthy, Minsky, Rochester, and Shannon...\nYouTube·Author Events\n23m\nDennis Yi Tenen | Literary Theory for Robots: How Computers Learned to Write\nYouTube·ParkNotes\n11m\nA Quick History of Artificial Intelligence + Book Recommendations\nThe Science Survey\nThe Evolution of Literature in the Age of Artificial Intelligence\n# Yet with this shift comes an uncomfortable question: if a machine can write, what happens to the value of human storytelling? * Ironically, literature predict...\nTikTok·professorcasey\n1:28\nUnderstanding Artificial Intelligence: A Brief History\nYouTube·Museum of Science\n0:27\nOrigins of AI: Ada Lovelace and the Evolution of Artificial Intelligence\nAI responses may include mistakes. Learn more\n",
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  "THE EXHIBIT'S TIMELINE AS GENERAL HISTORY. The second era is headed with the exhibit's dates, 'Early 20th-Century Writing Machines and Manuals (c. 1890–1970)', and opens on one of its items, 'Georges Polti published The 36 Dramatic Situations (1895)'; the page: 'Georges Polti’s Les trente-six situations dramatiques (1895)'. The exhibit itself closes the section: 'Collaborative research projects, such as the Columbia University Literary AI Exhibition, explore how early writing techniques and manuals laid the groundwork for machine-generated prose and poetry.' The page's 'prose and poetry written by machines' is carried; its two stories, 'production and analysis', are not, and Polti stands as an author of plots with no place in the exhibit's second story, 'the use of algorithms to analyze literature'.",
  "THE HOLDINGS NOT NAMED. The page names 'Wycliffe Hill’s Plot Genies', 'William Wallace Cook’s Plotto series', 'Arthur Blanchard’s “movie-writer” machine', 'Henrietta Rose Montague’s “name selector.”', 'Christopher Strachey, who wrote a love letter program in the 1940s' and 'Margaret Masterman, a linguist who pioneered the use of computers to aid automatic translation'. The composition's one plot device is 'Robo the Game That Writes a Million Story Plots', on no saved page; its machine composition begins at 'The 1956 Dartmouth Workshop'. Strachey's program, which the census row reads as the point where the machine is writer, is absent.",
  "THE MAKERS AND THE CURATORS. 'Columbia University' is the one maker named. The page: 'a collaboration between the Columbia English Department, the Columbia University Rare Books & Manuscript Library, and Columbia University’s Digital Scholarship department', '© Copyright 2022, Columbia University Libraries'. The second card, the CU Narrative Intelligence Lab, names three people on its project entry ('Filed under: curatorial Literary AI Alex Gil, Melina Moe, Dennis Yi Tenen'), and a video card carries 'Dennis Yi Tenen | Literary Theory for Robots: How Computers Learned to Write'. The census row's operator field names departments and no person; the three names are on a card whose page the census did not save.",
  "THE LINE TO THE MODEL. The page draws its own line forward: early popular texts 'influence and shape contemporary, machine learning-based tools used in automating aviation accident reports and defense logistics', and a mid-century question 'whether programs should be written based on frames or grammar'. The composition's line runs 'back through decades of debate between rule-based symbolic AI and connectionist neural networks', and its offer is to 'focus on how modern LLMs relate to early plot generators'."
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