This page lists every Orange Pill Wiki entry hyperlinked from Daniel Pink — On AI. 20 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 simultaneous expansion of autonomy across all four dimensions — task, time, technique, and team — when AI collapses the capability constraints that previously functioned as structural limiters on self-direction.
Pink's three-pillar architecture of intrinsic motivation — the desire to direct one's own work, to get better at something that matters, and to serve something larger than the self.
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.
Pink's term for contingent external rewards specified in advance — 'if you do X, then you receive Y' — and the specific mechanism that triggers the overjustification effect for heuristic work.
The principle — drawn from Pink's asymptote framework and Segal's ascending friction — that AI does not eliminate the pursuit of mastery but moves it upward to a higher cognitive floor where the work is harder, not easier.
Skinner's framework for how behavior is selected and maintained by its environmental consequences — the three-term contingency of discriminative stimulus, operant response, and reinforcing consequence that underwrites every schedule effect …
The empirical finding — demonstrated by Lepper, Greene, and Nisbett in 1973 — that expected external rewards for intrinsically motivated tasks convert the motivation from intrinsic to extrinsic, and the drive collapses when the reward is wi…
The third pillar of intrinsic motivation — the yearning to do what we do in service of something larger — laid bare when AI removes the execution constraints that previously obscured the question of what is worth building.
The device that increases the magnitude of whatever passes through it without evaluating the content — Wiener's framework for understanding AI as a tool that carries human signal, or human noise, with equal power and no judgment.
Segal's mechanical metaphor for the AI transition — the intrinsic motivational engine has always existed; what AI removed is the governor that modulated its intensity.
The continuous slope — not a boundary — along which the dorsolateral prefrontal cortex progressively loses the capacity to volitionally terminate an activity, transforming flow into captured engagement by imperceptible degrees.
James Watt's 1788 centrifugal device — and Wiener's paradigmatic metaphor — for the regulatory mechanism that converts raw power into sustainable capability. The small, almost laughably simple structure without which the engine destroys its…
The specific behavioral configuration — compulsive AI-augmented engagement experienced as exhilaration from within and pathology from without — produced by a reinforcing loop without a balancing counterpart.
The question "what is a human being for?" — which Clarke predicted intelligent machines would force humanity to ask, and which arrived in 2022–2025 with more force and less philosophical preparation than he expected.
Pink's term — drawn from the Tom Sawyer fence-whitewashing scene — for the transformation of work into play under conditions of autonomy, mastery, and purpose, and the shadow that transformation produces in the AI age.
Pink's term for the intrinsic motivation that cannot be reduced to biology or behavioral conditioning — the force that drives humans to learn, create, and contribute to projects that transcend individual reward.
Pink's taxonomy for engagement fueled by intrinsic desires — the inherent satisfaction of the work, the autonomy of directing it, the mastery of developing through it — contrasted with Type X behavior driven by extrinsic rewards.