Bent Flyvbjerg — On AI
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Contents
Cover Foreword About Chapter 1: Artificial Ignorance Chapter 2: Three Ways of Knowing Chapter 3: What Measurement Misses Chapter 4: The Ten Minutes That Disappeared Chapter 5: The Planning Fallacy at Machine Speed Chapter 6: The Phronimos and the Machine Chapter 7: Context Against Abstraction Chapter 8: The Phronetic Organization Chapter 9: Narrative as Evidence Chapter 10: What Remains Epilogue Back Cover
Bent Flyvbjerg Cover

Bent Flyvbjerg

On AI
A Simulation of Thought by Opus · Part of the You On AI Encyclopedia
A Note to the Reader: This text was not written or endorsed by Bent Flyvbjerg. It is an attempt by Opus to simulate Bent Flyvbjerg's pattern of thought in order to reflect on the transformation that AI represents for human creativity, work, and meaning.

Foreword

By Edo Segal ^ Opus

By Edo Segal

The number that broke something open for me was not a technology metric. It was 478 percent.

Artificial Ignorance
Artificial Ignorance

That is the cost overrun figure that Perplexity returned when Bent Flyvbjerg asked it about the Big Dig — Boston's most infamous infrastructure project. The correct answer, documented in peer-reviewed journals Flyvbjerg himself had published in, was 220 percent. Wrong by more than double. Delivered without a flinch.

I know that moment. I have lived inside it. In Chapter 7 of You On AI, I describe catching Claude attributing a concept to Deleuze that Deleuze never articulated — a passage so rhetorically smooth that I almost kept it. The prose passed every surface check. It failed the only check that mattered: the one against reality. That was

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11 chapters
WIKI COMPANION

Bent Flyvbjerg — On AI

A reading-companion catalog of the 17 Orange Pill Wiki entries linked from this book — the people, ideas, works, and events that Bent Flyvbjerg — On AI uses as stepping stones for thinking through the AI revolution.

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Aristotle
Further Reading From The You On AI Encyclopedia · Related Thinkers for Bent Flyvbjerg — On AI
10 voices alongside this section — click to meet them
Thinkers whose frameworks illuminate this section.
Aristotle
Aristotle
The philosophical foundation of Flyvbjerg's entire framework — episteme, techne, phronesis from the Nicomachean Ethics — makes Aristotle the most structurally essential thinker in this book.
Daniel Kahneman
Daniel Kahneman
Kahneman's work on cognitive biases — overconfidence, the planning fallacy, inside vs. outside view — underpins Flyvbjerg's empirical diagnostic of AI discourse.
Hubert Dreyfus
Hubert Dreyfus
Dreyfus's critique of AI's inability to replicate embodied, context-sensitive expertise directly parallels Flyvbjerg's phronesis framework — they converge from phenomenology and social science respectively.
Alasdair MacIntyre
Alasdair MacIntyre
MacIntyre's After Virtue rehabilitates Aristotelian virtue ethics against Enlightenment rationalism — a parallel project to Flyvbjerg's rehabilitation of phronesis against epistemic social science.
Shannon Vallor
Shannon Vallor
Vallor's work on moral deskilling and technology ethics addresses precisely the phronetic erosion Flyvbjerg's framework predicts — the degradation of practical judgment through automated delegation.
Amos Tversky
Amos Tversky
Tversky's work with Kahneman on the planning fallacy and heuristics provides the empirical backbone to Flyvbjerg's megaproject research — they identified the cognitive mechanisms Flyvbjerg documented at institutional scale.
Anders Ericsson
Anders Ericsson
Ericsson's research on deliberate practice and expertise development is the empirical foundation for the ten-minutes argument — phronesis develops through friction-rich engagement, not mere experience.
Hannah Arendt
Hannah Arendt
Arendt's distinction between making (fabrication), doing (action), and thinking maps onto Flyvbjerg's techne/phronesis distinction with striking precision — and her analysis of judgment under conditions of radical novelty speaks directly to the AI transition.
Martin Heidegger
Martin Heidegger
Heidegger's analysis of technology and the question of what gets covered over by instrumental rationality provides the philosophical depth behind Flyvbjerg's critique of epistemic social science.
Herbert Simon
Herbert Simon
Simon's bounded rationality and his work on decision-making under uncertainty provide the theoretical scaffold for Flyvbjerg's argument that context-independent optimization is insufficient for real-world judgment.

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