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

List Price: $30.00
SKU:
9780374620059
Quantity:
Minimum Purchase
25 unit(s)
Expected release date is Jun 9th 2026
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  • 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_20260416220407-20260416.xml
    Folder:
    Macmillan Trade
    List Price:
    $30.00
    Pub Discount:
    65
    Case Pack:
    20
    As low as:
    $23.10
    Publisher Identifier:
    P-STM
    Discount Code:
    A
    QuickShip:
    Yes
  • 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?