The Proof in the Code (How a Truth Machine Is Transforming Math and AI)

ISBN: 9780374620059
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$30.00
SKU:
9780374620059
Availability:
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Minimum Purchase:
25 units
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Minimum Order: 25 copies per title

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Pre-order this book today and they will ship when released on Jun 9th 2026

Product Details

Author:
Kevin Hartnett
Format:
Hardcover
Pages:
288
Publisher:
Farrar, Straus and Giroux (June 9, 2026)
Imprint:
Quanta Books
Release Date:
June 9, 2026
Language:
English
Audience:
General/trade
ISBN-13:
9780374620059
ISBN-10:
0374620059
Weight:
16oz
Dimensions:
6" x 9" x 1"
File:
Macmillan Trade-Macmillan_Print_US_Trade_20250911220520-20250911.xml
Folder:
Macmillan Trade
List Price:
$30.00
Pub Discount:
65
Case Pack:
24
As low as:
$15.30
Publisher Identifier:
P-STM
Discount Code:
A

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Overview

The inside story of Lean, a computer program that answers the age-old question: How do you know if something is true?

It began as an obscure bug-checking program at Microsoft Research developed by a lone computer engineer named Leo de Moura. Then an unlikely crew of mathematical misfits caught wind of it and began to adopt it with messianic zeal. Their goal was to create a truth machine that could provide the rarest of all commodities in life: a complete, 100 percent guarantee that something is true. Its name: Lean.

As the movement grew and strengthened the program’s capabilities, it drew in two of the world’s most prominent mathematicians: Peter Scholze and Terence Tao. Google DeepMind, Meta AI, and other tech firms started using the program to supercharge computer reasoning. Now it’s remaking the multi-thousand-year history of how mathematicians work, collaborate, and assess truth, while charting a new path in the march toward machine intelligence.

In The Proof in the Code, Kevin Hartnett tells the definitive story of the birth and rise of Lean, and how a growing movement is transforming the enterprise of mathematics and ushering in a new era of human–computer collaboration. An engrossing, character driven narrative filled with insights about the future of math, computers, and AI, this brilliant work of journalism from one of the world’s leading math writers offers a profound answer to the question: Can computers reveal universal truths?

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