Joel Mokyr — On AI
This page lists every Orange Pill Wiki entry hyperlinked from Joel Mokyr — On AI. 15 entries total. Each is a deeper-dive on a person, concept, work, event, or technology that the book treats as a stepping stone for thinking through the AI revolution. Click any card to open the entry; in each entry, words colored in orange link to other Orange Pill Wiki entries, while orange-underlined words with the Wikipedia mark link to Wikipedia.
Ecosystem Lock-In
The competitive advantage that emerges when accumulated investments in data, integrations, talent, and process make switching prohibitively expensive — the durable moat that AI cannot replicate because it was built through time.
Flow State
Mihaly Csikszentmihalyi's name for the condition of optimal human engagement — and, in Wiener's framework, the subjective signature of a well-regulated negative feedback system.
Macro-Invention and Micro-Invention
Mokyr's distinction between radical discontinuous breakthroughs that open new possibility spaces (macro-inventions) and the incremental improvements that explore them (micro-inventions) across decades or generations.
Propositional and Prescriptive Knowledge
Mokyr's career-defining distinction between knowing that (propositional) and knowing how (prescriptive) — and the empirical claim that the cost of converting one into the other is the primary variable explaining sustained economic growth.
River of Intelligence
Segal's metaphor — given thermodynamic grounding by Wiener's framework — for the 13.8-billion-year trajectory of anti-entropic pattern-creation through increasingly sophisticated channels, of which AI is the latest.
Tacit Knowledge (Polanyi-Collins Reading)
Michael Polanyi's 1966 insight that we know more than we can tell — refined by Collins into a taxonomy of three species that has become the decisive framework for understanding what AI systems can and cannot absorb from human practice.
The Beaver's Dam
The canonical example of allogenic ecosystem engineering — a structure that modulates rather than blocks the flow of its environment, creating the habitat pool in which diverse community life becomes possible.
The Distribution Problem
The uncomfortable fact that AI's benefits and costs do not distribute evenly across the population of affected workers — a Smithian question about institutions, not a technical question about tools.
The Epistemic Base
Mokyr's term for the total stock of propositional and prescriptive knowledge available to a society — whose width determines the ceiling of technological creativity and whose channels determine how closely a society approaches that ceiling.
The Industrial Enlightenment
Mokyr's term for the 18th-century transformation in the relationship between natural philosophy and practical craft — the institutional widening of channels between those who understood the natural world and those who made things.
The Orange Pill Moment
The threshold crossing after which the AI-augmented worker cannot return to the previous regime — The Orange Pill's central metaphor for the qualitative, irreversible shift in what a single person can build.
The Republic of Letters
The transnational correspondence network of 17th- and 18th-century European intellectuals — a competitive marketplace of ideas extending beyond national boundaries — that Mokyr identifies as the cultural-institutional precondition for the I…
The Useful Knowledge Feedback Loop
The self-reinforcing cycle — central to Mokyr's theory of growth — in which propositional knowledge generates prescriptive techniques, which generate new data and problems, which generate new propositional understanding.
Large Language Models
Neural networks trained on internet-scale text that have, since 2020, demonstrated emergent linguistic and reasoning capabilities — in Whitehead's vocabulary, computational systems whose prehensions of the textual corpus vastly exceed any i…
The Printing Press as Cultural Technology
The 15th-century invention — Gutenberg's movable type — that Gopnik, Farrell, Shalizi, and Evans identify as the single most illuminating historical analog for understanding what large language models actually are.