Book Summaries
What to Think About Machines That Think Summary (8/10)
“What to Think About Machines That Think” is a collection of essays edited by John Brockman, featuring insights from various leading thinkers, scientists, and experts across diverse fields. The book explores the concept of artificial intelligence (AI) and the implications it holds for humanity.
“What to Think About Machines That Think” is a collection of essays edited by John Brockman, featuring insights from various leading thinkers, scientists, and experts across diverse fields. The book explores the concept of artificial intelligence (AI) and the implications it holds for humanity. It delves into questions about the nature of AI, its potential impact on society, and the ethical considerations surrounding its development.
Below are links to chapter summaries.
- Steven Pinker
- Martin Rees
- Frank Tipler
- Mario Livio
- Antony Garrett Lisi
- John Markoff
- Paul Davies
- Kevin P. Hand
- John C. Mather
- David Christian
- Timo Hannay
- Max Tegmark
- Tomaso Poggio
- Pamela McCorduck
- Marcelo Gleiser
- Sean Carroll
- Nicholas G. Carr
- Jaan Tallinn
- George Church
- Arnold Trehub
- Roy Baumeister
- Keith Devlin
- Emanuel Derman
- Freeman Dyson
- David Gelernter
- Leo M. Chalupa
- Daniel C. Dennett
- W. Tecumseh Fitch
- Irene Pepperberg
- Nicholas Humphrey
- Rolf Dobelli
- Cesar Hidalgo
- James J. O’Donnell
- Rodney A. Brooks
- Terrence J. Sejnowski
- Seth Lloyd
- Carlo Rovelli
- Frank Wilczek
- Nick Bostrom
- Donald D. Hoffman
- Roger Schank
- Susan Blackmore
- Mark Pagel
- Tim O’Reilly
- Andy Clark
- Moshe Hoffman
- Brian Knutson
- William Poundstone
- Lawrence M. Krauss
- Paul Saffo
- Peter Norvig
- Jonathan Gottschall
- Michael Shermer
- Chris DiBona
- Joscha Bach
- Ernst Pöppel
- Clifford Pickover
- Ross Anderson
- W. Daniel Hillis
- Anthony Aguirre
- Ursula Martin
- Dylan Evans
- Eric J. Topol
- Roger Highfield
- Gordon Kane
- Scott Atran
- Stanislas Dehaene
- Matt Ridley
- Rory Sutherland
- Bruce Sterling
- Kevin Kelly
- George Dyson
- Neil Gershenfeld
- Chris Anderson
- Richard E. Nisbett
- Samuel Arbesman
- Kurt Gray
- Bruce Schneier
- Gerd Gigerenzer
- Tania Lombrozo
- Sheizaf Rafaeli
- Edward Slingerland
- Nicholas A. Christakis
- Joichi Ito
- Stuart Russell
- Eliezer S. Yudkowsky
- Maria Popova
- Thomas G. Dietterich
- N. J. Enfield
- Gary Klein
- Gary Marcus
- Sam Harris
- Bart Kosko
- Hans Halvorson
- Satyajit Das
- Brian Christian
- Giulio Boccaletti
- Ian Bogost
- Aubrey de Grey
- Richard H. Thaler
- Raphael Bousso
- Stuart A. Kauffman
- Thomas Metzinger
- Demis Hassabis, Shane Legg, and Mustafa Suleyman
YARPP List
Related posts:
- The Veil of Ignorance
- Chapter 17: Death (Genome)
- Mind and Cosmos Summary (8/10)
- The Singularity and The Six Epochs (Part 2)
Keep Reading
Related Articles
Book Summaries
Chapter 10: The Law of Small Numbers
P.113) Even professional statisticians, in addition to Kahneman and other psychologists use their judgement to select sample size rather than compute and this results in results that cannot be conclusive. Kahneman called this phenomenon the “law of small numbers.
Book Summaries
The Top 9 Books About Business Strategy
1. Blue Ocean Shift: Beyond Competing – Proven Steps to Inspire Confidence and Seize New Growth – Renée Mauborgne and W. Chan Kim 2. Blue Ocean Strategy– Renée Mauborgne and W. Chan Kim 3. Good Strategy Bad Strategy: The Difference and Why It Matters – Richard P. Rumelt 4.
Book Summaries
Myth 19: Hypnosis Is a Unique “Trance” State that Differs in Kind from Wakefulness
The idea that a trance or special state of consciousness occurs during hypnosis traces its origins to the earliest attempts to understand hypnosis. The word “mesmerized” has a resemblance to the word “hypnotized.” There’s a reason for that.
Book Summaries
Sean Carroll (What to think about machines that think)Sean Carroll
Sean Carroll argues that the boundary between natural and artificial intelligence is blurring. He references 18th-century French philosopher Julien de La Mettrie, who asserted that humans are essentially thinking machines. Carroll suggests that modern physics and neuroscience support this view.