BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

What Is Intelligence?: Lessons from Ai About Evolution, Computing and Minds

What Is Intelligence?: Lessons from Ai About Evolution, Computing and Minds

What Is Intelligence?: Lessons from Ai About Evolution, Computing and Minds
Stock photo: cover may vary

What Is Intelligence?: Lessons from Ai About Evolution, Computing and Minds Paperback - 2025

by Aguera Y Arcas, Blaise

Add to wish list
  • New
  • Paperback
New

Description

Mit Pr, 2025. Paperback. New. 400 pages. 9.00x6.00x7.88 inches.
Ask the seller a question Add to wish list
A$56.55
A$47.74 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Revaluation Books (Devon, United Kingdom)

Details

  • Title What Is Intelligence?: Lessons from Ai About Evolution, Computing and Minds
  • Author Aguera Y Arcas, Blaise
  • Binding Paperback
  • Condition New
  • Pages 600
  • Volumes 1
  • Language ENG
  • Publisher Mit Pr
  • Publication date 2025
  • Features Bibliography, Index
  • Bookseller's Inventory # __0262049953
  • ISBN 9780262049955 / 0262049953
  • Weight 1.45 lbs (0.66 kg)
  • Dimensions 7.7 x 5.3 x 1.4 in (19.56 x 13.46 x 3.56 cm)
  • Category Computers - General Information
  • Library of Congress subjects Human evolution - Philosophy, Artificial intelligence - Philosophy
  • Library of Congress Catalogue Number 2024059370
  • Dewey Decimal Code 153.901
  • Quantity available 1

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

Reader reviews for What Is Intelligence?: Lessons from Ai About Evolution, Computing and Minds

From the publisher

What intelligence really is, and how AI's emergence is a natural consequence of evolution.

Included in the Financial Times's Best Books of 2025: Technology
Included in Bloomberg News's "The 82 Books That Top Business Leaders Couldn't Put Down"
2026 PROSE Award Winner: Engineering and Technology

It has come as a shock to some AI researchers that a large neural net that predicts next words seems to produce a system with general intelligence. Yet this is consistent with a long-held view among some neuroscientists that the brain evolved precisely to predict the future--the "predictive brain" hypothesis.

In What Is Intelligence?, Blaise Agera y Arcas takes up this idea--that prediction is fundamental not only to intelligence and the brain but to life itself--and explores the wide-ranging implications. These include radical new perspectives on the computational properties of living systems, the evolutionary and social origins of intelligence, the relationship between models and reality, entropy and the nature of time, the meaning of free will, the problem of consciousness, and the ethics of machine intelligence.

The book offers a unified picture of intelligence from molecules to organisms, societies, and AI, drawing from a wide array of literature in many fields, including computer science and machine learning, biology, physics, and neuroscience. It also adds recent and novel findings from the author, his research team, and colleagues. Combining technical rigor and deep up-to-the-minute knowledge about AI development, the natural sciences (especially neuroscience), and philosophical literacy, What Is Intelligence? argues--quite against the grain--that certain modern AI systems do indeed have a claim to intelligence, consciousness, and free will.

Media reviews

Citations

  • Choice, 05/01/2026, Page 0

About the author

Blaise Agera y Arcas is a VP/Fellow at Google, where he is the CTO of Technology & Society, and the founder of Paradigms of Intelligence, an organization dedicated to fundamental AI research. He is the author of Who Are We Now?, and his research has included work on privacy-preserving machine learning, on-device AI, large language models, and human identity.
tracking-