This page lists every Orange Pill Wiki entry hyperlinked from Leila Janah — On AI. 19 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.
Byung-Chul Han's diagnosis — extended through Dissanayake's biological framework — of the cultural dominance of frictionless surfaces and the specific reason the smooth feels biologically wrong.
The Galbraithian concept — mobilized by Janah's framework and reactivated by the Muldoon study — that concentrated economic power generates its own counterweight through organized opposition, and that the counterweight is required for dig…
The operational discipline Janah learned at the intersection of Nairobi, Kolkata, and Silicon Valley: that technology is never culturally neutral, and the claim of universal design is itself a cultural artifact.
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?
Janah's defining concept — work that pays living wages, treats workers fairly, and develops their capabilities — applied as an evaluative standard to the AI labor supply chain and found, in most current cases, to fall short.
Janah's foundational operational distinction between the point solution (the platform, application, or subscription that addresses a specific capability gap) and the web of institutional conditions required for the point solution to produ…
The development-economics distinction — mobilized by Janah against technology-industry optimism — between the legal or technical ability to participate in a system and the practical ability to participate in ways that produce sustained ben…
The Renaissance humanists' term for the cultivated capacity for judgment that no rule can capture — the highest intellectual virtue, and the capacity the AI age makes most valuable.
Janah's operational recognition that the gap between building something and selling it is a structural institutional barrier — payment systems, distribution channels, legal frameworks, reputation networks — that no tool provides and no su…
The ratio between what an engineer in Mountain View earns per hour and what a data annotator in Nairobi earns per hour labeling the training images that make the engineer's model work — the specific number Segal invokes in the foreword as the …
The financial infrastructure through which software revenue flows — concentrated in a small number of payment platforms that serve approximately a quarter of the world's countries and exclude the majority of the global population from the f…
Janah's reconception of quality in global digital work: not adherence to a specification but a negotiated, evolving, culturally situated understanding between producer and consumer about fitness for purpose.
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.
Webb's principle that all workers in a given trade should work under the same basic conditions — the floor below which conditions cannot fall regardless of competitive pressure, and the foundation of industrial democracy.
The composite figure from The Orange Pill whose access to AI tools is celebrated as democratization — and whose absence from governance decisions the Winner volume makes visible.
Janah's operational term for the full ecosystem surrounding a technology platform — training, quality, culture, management, market access, legal and financial infrastructure — that converts tool access into sustained livelihood.
Janah's operational principle — learned through repeated Samasource failures — that training is not a state that is achieved but a process that is maintained, because standards, tools, and contexts evolve faster than any one-time training …