rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: The
    title: proof in the code
    sub title: how a truth machine is transforming math and AI
  title info:
    title: How a truth machine is transforming math and AI
  name:
    name part: Hartnett, Kevin
    name part: (Math and technology writer)
    role:
      role term: creator
    role:
      role term: author.
  type of resource: text
  genre: Popular works.
  origin info:
    place:
      place term: nyu
    date issued: 2026
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: 275 pages : illustrations ; 24 cm
  abstract: "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?"--
  table of contents: Visionaries. Tom Hales's last resort ; Truth seeker ; A lean beginning -- Early adopters. Building mathlib ; A formal crisis ; The perfect(oid) stunt ; Lean together -- Influencers. Big-league math ; The AI grand challenge ; Team Terry Tao ; Lean into the future.
  target audience: adult
  note: Kevin Hartnett
  note: Includes index.
  subject:
    topic: Artificial intelligence
    topic: Mathematics
    genre: Popular works
  subject:
    topic: Mathematics
    topic: Data processing
  subject:
    topic: Truth
    topic: Computer programs
  subject:
    topic: Machine learning
  subject:
    topic: Agile software development
  subject:
    topic: Computer software
    topic: Development
  subject:
    topic: Computer software
    topic: Testing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Méthodes agiles (Développement de logiciels)
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Intelligence artificielle
    topic: Mathématiques
    genre: Ouvrages de vulgarisation
  subject:
    topic: Mathématiques
    topic: Informatique
  subject:
    topic: Vérité
    topic: Logiciels
  subject:
    topic: artificial intelligence
  subject:
    topic: TECHNOLOGY & ENGINEERING / Inventions
  subject:
    topic: Computers / Artificial Intelligence / General
  subject:
    topic: Mathematics/ Logic
  classification: Q335 .H374 2026
  classification: 510.28563
  identifier: 0374620059
  identifier: 9780374620059
  record info:
    record content source: YDX
    record creation date: 251003
    record change date: 20260630200123.8
    record identifier: in00005789249
    language of cataloging:
      language term: eng