04 Essays
The complete archive.
9 essays extending the book across distributed cognition, leadership, education, institutional change, policy, and scientific discovery.
9 essays

Book Ideas7 min read
AGI mistakes a historically narrow form of intelligence—the isolated performance of the individual mind—for intelligence itself. The real frontier is not stand-alone machine intelligence but the design of distributed intelligence.
AGIDistributed IntelligenceCognitive Revolution
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Book Ideas26 min
If AGI is a category error, then what are frontier models actually doing? They are computationalizing distributed intelligence, bringing cognitive work once distributed across people, documents, tools, software, and institutions into active human-AI systems, shifting the critical question from whether AI crosses an AGI threshold to how we design these systems while preserving human judgment, authority, validation, and accountability.
AGIfrontier modelsdistributed intelligencehuman-AI systems
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Book Ideas15 min
Author’s Note: This essay is adapted and expanded from Chapter 6, From Tool to Medium in my book, The Cognitive Revolution: How AI Is Reorganizing Intelligence, Expertise, and Institutions. While the book develops the broader theoretical framework, this essay focuses on one practical question every leader should be asking: How do you know whether your organization is truly becoming AI-native?
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Institutions8 min read
AI policy must move from regulating models in isolation to redesigning institutions around distributed intelligence.
AI PolicyDistributed IntelligenceInstitutions
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Education7 min read
Education still assumes knowledge is scarce and intelligence is individual. In the age of AI, learning has to be redesigned for human–AI systems.
EducationAI-Native LearningDistributed Cognition
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Institutions3 min read
When cognition becomes distributed across people, tools, and systems, institutions built on older assumptions face a structural redesign problem.
Distributed CognitionInstitutionsStrategy
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Book Ideas3 min read
The challenge of AI is not only technical. It is whether institutions can reorganize quickly enough to absorb new forms of intelligence.
InstitutionsGovernanceCognitive Revolution
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History & Context3 min read
A macro-level framing of AI as the next great shift in how societies generate value, following the agricultural and industrial revolutions.
EconomicsHistoryCognitive Revolution
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History & Context9 min read
A historical analogy for understanding why foundational breakthroughs in AI matter the way engine innovations mattered to the industrial age.
History of AICognitive RevolutionHinton
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