• How to Speak Machine

  • Computational Thinking for the Rest of Us
  • By: John Maeda
  • Narrated by: Dani Martineck
  • Length: 5 hrs and 52 mins
  • 4.3 out of 5 stars (45 ratings)

Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.
How to Speak Machine  By  cover art

How to Speak Machine

By: John Maeda
Narrated by: Dani Martineck
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $13.50

Buy for $13.50

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's summary

Visionary designer and technologist John Maeda defines the fundamental laws of how computers think, and why you should care even if you aren't a programmer.

"Maeda is to design what Warren Buffett is to finance." (Wired)

John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that govern not only the computers of today, but the unimaginable machines of the future.

Technology is already more powerful than we can comprehend, and getting more powerful at an exponential pace. Once set in motion, algorithms never tire. And when a program's size, speed, and tirelessness combine with its ability to learn and transform itself, the outcome can be unpredictable and dangerous. Take the seemingly instant transformation of Microsoft's chatbot Tay into a hate-spewing racist, or how crime-predicting algorithms reinforce racial bias.

How to Speak Machine provides a coherent framework for today's product designers, business leaders, and policymakers to grasp this brave new world. Drawing on his wide-ranging experience from engineering to computer science to design, Maeda shows how businesses and individuals can identify opportunities afforded by technology to make world-changing and inclusive products - while avoiding the pitfalls inherent to the medium.

©2019 John Maeda (P)2019 Penguin Audio

Critic reviews

“This book is mind-expanding. Not everyone needs to understand how to program a computer, but understanding how computers ‘think’ is no longer optional.” (Tim O’Reilly, founder and CEO of O’Reilly Media and best-selling author of WTF?)

“People who are fluent in ‘machine’ shape how technology benefits and burdens each of us. Making that language, and power, more accessible begins with this book.” (Kat Holmes, UX director at Google and author of Mismatch)

“Dazzling, unique, and radical. How to Speak Machine is like nothing I’ve ever read. It will rewire your brain (in a good way). A must-read for anyone looking to shape the future.” (Jake Knapp, New York Times best-selling author of Sprint)

What listeners say about How to Speak Machine

Average customer ratings
Overall
  • 4.5 out of 5 stars
  • 5 Stars
    28
  • 4 Stars
    8
  • 3 Stars
    6
  • 2 Stars
    1
  • 1 Stars
    2
Performance
  • 4.5 out of 5 stars
  • 5 Stars
    33
  • 4 Stars
    6
  • 3 Stars
    0
  • 2 Stars
    1
  • 1 Stars
    1
Story
  • 4 out of 5 stars
  • 5 Stars
    25
  • 4 Stars
    6
  • 3 Stars
    5
  • 2 Stars
    1
  • 1 Stars
    3

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Awesome

Very insightful and broke AI terms and ideas down into digestible information. I highly recommend for both technical and non-technical readers.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

  • Overall
    2 out of 5 stars
  • Performance
    2 out of 5 stars
  • Story
    1 out of 5 stars

more sjw than computer science

the author never misses a beat to inject political politics into hos text. also, this book does not cover computational thinking as much as others. hard pass this one.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!

1 person found this helpful