Algorithms at Work

Preview
LIMITED TIME OFFER

3 Months Free

$8.99/mo after 3 months. Cancel anytime.
Get this deal
Offer ends on July 15, 2026 at 11:59 PT.
More purchase options

Algorithms at Work

Written by: Brian Christian, Tom Griffiths
Narrated by: Brian Christian, Tom Griffiths
Get this deal

$8.99/mo. after 3 months. Cancel anytime. Offer ends July 15, 2026 at 11:59pm PT.

In this highly intoxicating original series, researchers Brian Christian and Tom Griffiths, authors of the best-selling smash hit, Algorithms to Live By, tackle some of the biggest ideas in computer science today - and, in the process, illuminate cutting-edge ways of understanding how we live, work and play.

They take us inside a tomato factory where no one has a job title to shed new light on decentralized network structures; visit an Olympic fencer to explore the game theory of when to make the first move; and tour the birthplace of the internet, a buzzing laboratory on the border of France and Switzerland, to examine the true - and truly human - limits to what a network of nearly one million machines can achieve.

Along the way, they interview key figures in the world of computer science - from Google's Vice President of Infrastructure Eric Brewer to ‘the godfather of distributed systems’ Leslie Lamport - plus preeminent neuroscientists, sociologists, and even the co-founder of Instagram.

Algorithms at Work is a playful and deeply inquisitive exploration of the overlapping questions of computer science and society. The result is six episodes that examine the world in unexpected and memorable ways.

©2022 Audible Originals, LLC (P)2022 Audible Originals, LLC
Management & Leadership Personal Success
Episodes
  • Algorithms at Work Trailer
    Jan 27 2022
    In this highly intoxicating original series, researchers Brian Christian and Tom Griffiths, authors of the best-selling smash hit, Algorithms to Live By, tackle some of the biggest ideas in computer science today - and, in the process, illuminate cutting-edge ways of understanding how we live, work and play.

    They take us inside a tomato factory where no one has a job title to shed new light on decentralized network structures; visit an Olympic fencer to explore the game theory of when to make the first move; and tour the birthplace of the internet, a buzzing laboratory on the border of France and Switzerland, to examine the true - and truly human - limits to what a network of nearly one million machines can achieve.

    Along the way, they interview key figures in the world of computer science - from Google's Vice President of Infrastructure Eric Brewer to ‘the godfather of distributed systems’ Leslie Lamport - plus preeminent neuroscientists, sociologists, and even the co-founder of Instagram.

    Algorithms at Work is a playful and deeply inquisitive exploration of the overlapping questions of computer science and society. The result is six episodes that examine the world in unexpected and memorable ways.
    Show more Show less
    1 min
  • Episode 1: Distributed Systems - Working Together
    Feb 10 2022
    An introduction to how multi-machine systems can help us with multi-person challenges in our relationships, organizations, and world.
    Show more Show less
    46 mins
  • Episode 2: Queuing Theory - Waiting Better
    Feb 10 2022
    A look at the math and psychology of lines.
    Show more Show less
    40 mins
adbl_web_anon_alc_button_suppression_t1
All stars
Most Relevant
As good and insightful as the books, too bad its only 6 episodes, As I would easily include this podcast into my morning routine.

As good as the books!

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

I recently finished listening to the full audiobook from these authors, which I enjoyed. This series is done in much the same style, where they look at different algorithms and how they can be applied to everyday life. I really liked the fact that they have various interview with the creators of the algorithms or experts in specific fields, as well as music and sound effects to help explain the topics. Overall a great listen!

Really enjoyable podcast!

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