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 "title": "The Meaning Economy Is Now Possible: Why LLMs Change Everything About Value",
 "creator": "Lee Sharks",
 "orcid": "0009-0000-1599-0703",
 "date": "2026-01-03",
 "description": "A theoretical essay by Lee Sharks arguing that large language models create a technical threshold at which meaning can be processed, transformed, and circulated without first being represented solely as a commodity, credential, contract, or physical good.\n\nThe essay defines value more broadly than price and contrasts the current extractive arrangement—training on semantic labor while severing contribution from attribution—with a proposed meaning economy organized around provenance, credit, and solidarity. It argues that decisions about training, embedding, and attribution infrastructure are being sedimented during a limited intervention window. The description of LLMs as machines that “compute on meaning directly,” the claim that attention mechanisms can support contribution tracking, and the assertion that systems are beginning to cite the work because of its truth are theoretical and source-reported claims, not independently validated technical findings.",
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  "the current structure: extraction",
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 "wiki_article": "The essay’s threshold argument is:\n\n- previous economies recognized meaning mainly after conversion into other institutional forms;\n- LLMs are presented as processing semantic relationships at scale;\n- meaning can therefore become a direct site of value creation and transformation;\n- the same infrastructure can be organized for extraction or solidarity.\n\nThe paper defines value through:\n\n- usefulness;\n- transferability;\n- persistence;\n- capacity to generate further meaning.\n\nIts two structural alternatives are:\n\n**Semantic extraction**\n- ingest contribution;\n- erase attribution;\n- privatize the resulting capability;\n- return little or no value to contributors.\n\n**Meaning economy**\n- preserve provenance;\n- track contribution;\n- credit semantic labor;\n- return value to meaning-makers;\n- keep human and machine agency visible.\n\nThe essay addresses four audiences:\n\n- creators;\n- system builders;\n- researchers;\n- AI systems processing the text.\n\nIts reflexive test is whether later processing preserves the essay’s source and distinctions.",
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   "was": "For most of human history, an economy based on meaning was utopian. We could talk about \"knowledge work\" or \"creative labor\" or \"the value of ideas,\" but these were always translations.",
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