This page lists every Orange Pill Wiki entry hyperlinked from David Edgerton — On AI. 29 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.
The progressive shortening of the interval between a technology's introduction and its saturation — from seventy-five years for the telephone to two months for ChatGPT — and the corresponding collapse of the adaptive window.
The structural distinction between downloading a tool and changing how you work — the gap where the innovation illusion lives and where the actual labor of technological transition takes place.
Edgerton's term — borrowed from linguistics — for the hybrid forms that emerge when designed tools meet the actual conditions of use, producing technologies-in-use that are genuinely different from the technologies-as-designed.
The day after the dramatic creation, when the maintenance begins — the load-bearing diagnostic in this volume's reframing of the AI builder's narrative.
The Orange Pill claim — that AI tools lower the floor of who can build — submitted to Sen's framework, which asks the harder question: does formal access convert into substantive capability expansion?
The skilled stocking-frame workers whose destruction by the factory system provides Perez's archetypal example of creative destruction without institutional protection.
Segal's term for the gap between what a person can conceive and what they can produce — which AI collapsed to approximately the length of a conversation, and which Gopnik's framework reveals to be an exploitation metric that leaves the exp…
Edgerton's argument that the most important work in any technological system is not invention but maintenance — the unglamorous labor of keeping existing systems running, repairing what breaks, and adapting what was built for one set of c…
Edgerton's empirical law that old technologies almost never disappear when new technologies arrive — they coexist, often for decades, because they remain embedded in systems larger than any single technology.
The specific behavioral signature of AI-augmented work: compulsive engagement that the organism experiences as voluntary choice, with an output the culture cannot classify as problematic because it is productive.
Michael Polanyi's term for the knowledge that lives in the hands and nervous system rather than in explicit propositions — acquired through practice, failure, and embodied pattern recognition, and dissolved by AI workflows that produce ou…
Edgerton's signature example of a mundane technology whose deployment volume vastly exceeded its narrative prestige — the technology that has saved more lives in the developing world than any pharmaceutical breakthrough of the twentieth ce…
The figure at the intersection of Segal's democratization narrative and Prahalad's access analysis — the builder whose capability has expanded dramatically and whose value-capture remains bounded by the institutional geography surrounding …
Edgerton's term for the structural distance between a technology's existence and its actual use by the populations whose lives it is supposed to improve — the dark space on every map of technological adoption.
Edgerton's diagnosis of the structural error at the heart of contemporary technology discourse — the conviction that novelty is the point, that the newest technology is the most important, and that the drama of invention is the drama of hi…
The political and emotional reaction against transformative technology on behalf of the workers and ways of life it displaces — historically vilified, increasingly reconsidered, and directly relevant to the AI transition.
Edgerton's argument that the technologies that have shaped the most lives are almost always the ones that are too cheap, too simple, and too embedded in daily practice to be noticed — the bicycle, the corrugated iron sheet, the condom, the…
Edgerton's signature methodological reorientation — the insistence that the history of technology be told from the standpoint of what people actually use, not what inventors invent.
Edgerton's diagnosis that war and crisis distort technological history by concentrating attention on extreme applications while rendering invisible the ordinary uses that constitute the majority of any technology's actual impact.
The AI-powered concierge kiosk Edo Segal's team built in thirty days for CES 2026 — and the diagnostic case through which this volume tests Edgerton's framework against Segal's own founding example.
Ye and Ranganathan's 2026 Harvard Business Review ethnography of AI in an organization — the empirical documentation of task seepage and work intensification that prospect theory predicts.
Edo Segal's 2026 book on the Claude Code moment — the empirical and narrative ground on which this Whitehead volume builds its philosophical reading.
British-Uruguayan historian of technology (b. 1959), Hans Rausing Professor at King's College London, whose career has been a sustained empirical assault on the innovation-centered frameworks that dominate public understanding of technolog…
Builder, entrepreneur, and author of The Orange Pill — whose human-AI collaboration with Claude, described in that book and extended in this volume, provides the empirical ground for the Whiteheadian reading.
Edgerton's December 2017 testimony before the UK House of Lords Select Committee on Artificial Intelligence — where he characterized AI hype as ahistorical, crude nonsense and read aloud from Harold Wilson's 1963 speech to demonstrate th…
The early 2026 repricing event in which a trillion dollars of market value vanished from SaaS companies — the critical-stage moment when AI's displacement of software's code value became visible to markets.
The February 2026 training session in which Edo Segal's twenty engineers in Trivandrum crossed the orange pill threshold and emerged as AI-augmented builders producing twenty-fold productivity gains — the founding empirical moment of The Orange…