This page lists every Orange Pill Wiki entry hyperlinked from Bent Flyvbjerg — On AI. 17 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.
Flyvbjerg's 2025 reframing of large language models — not intelligent systems that occasionally hallucinate, but ignorant systems that never had access to the truth-falsehood distinction in the first place.
Knowledge whose content is inseparable from the particular situation in which it was developed and applied — the form of knowing that constitutes phronesis and that AI systems, optimized for context-independent generalization, structurally …
Aristotle's name for the form of knowledge that apprehends what is universal and necessary — the domain in which AI systems have achieved, and in many cases surpassed, human competence.
Harry Frankfurt's 1986 philosophical distinction between lying and bullshit — a distinction that turns out to be the most precise available description of what large language models actually do when they generate text.
The sincere, genuinely held belief that your project is the exception — that the statistical regularities governing every comparable case will somehow be suspended for yours. Cognitive, not strategic; the planner is not lying but deluded.
The Aristotelian virtue of practical wisdom — knowledge of how to act well in particular situations — which Flyvbjerg has spent thirty years rehabilitating from philosophical obscurity into the central concept of his life's work and which n…
Flyvbjerg's proposed research paradigm — organized around the production of practical wisdom rather than universal laws — and the methodology best suited to phenomena that are constitutively context-dependent, including the AI transition.
The methodology — developed by Flyvbjerg and adopted as UK government policy — that corrects planning forecasts by forcing the planner to compare the current project against the statistical distribution of outcomes for the reference class o…
The deliberate inflation of benefits and deflation of costs to secure approval for projects that would be rejected if their true parameters were known. Political rather than cognitive — the planner knows the forecast is wrong and produces i…
Aristotle's term for the knowledge of how to make things — craft knowledge, productive reason — and the domain whose collapse to near-zero cost defines the AI revolution.
Aristotle's figure of the person of practical wisdom — not an expert who knows how to perform operations, but a practitioner who knows when to perform them, for whom, to what end, and whether they should be performed at all.
The systematic tendency — documented by Flyvbjerg across hundreds of megaprojects — to overestimate benefits, underestimate costs, and believe that statistical regularities governing comparable cases will be suspended for yours. The oldest …
The scattered, unpredictable moments of formative cognitive struggle embedded within routine work — perhaps four percent of daily task-time — that build embodied expert judgment, and that AI automation destroys together with the tedium in w…
Flyvbjerg's January 2025 experiment in which he asked two leading AI systems a factual question whose answer he had personally published — and received confident, fluent, catastrophically wrong responses that became the founding empirical artifact…
The February 2026 week-long training session in which Edo Segal flew to Trivandrum, India, to work alongside twenty of his engineers as they adopted Claude Code — producing the twenty-fold productivity multiplier documented in The Orange Pill…