Algorithms at Work Podcast with Brian Christian, Tom Griffiths cover art

Algorithms at Work

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Algorithms at Work

By: Brian Christian, Tom Griffiths
Narrated by: Brian Christian, Tom Griffiths
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About this listen

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.

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Episodes
  • Algorithms at Work Trailer

    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.
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    1 min
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  • Episode 1: Distributed Systems - Working Together

    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.
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    46 mins
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  • Episode 2: Queuing Theory - Waiting Better

    Episode 2: Queuing Theory - Waiting Better
    Feb 10 2022
    A look at the math and psychology of lines.
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    40 mins
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About the Creator and Host

Brian Christian is the bestselling author of three acclaimed works of nonfiction about the human implications of computer science. The Most Human Human (2011) was a New York Times editors’ choice and a New Yorker favorite book of the year; Algorithms to Live By (2016), with Tom Griffiths, was a #1 Audible bestseller, Amazon best science book of the year, and MIT Technology Review best book of the year; and The Alignment Problem (2020), called "the best book on the key technical and moral questions of AI" by The New York Times, was a Los Angeles Times finalist for best science & technology book of the year and one of the five books that most inspired Microsoft CEO Satya Nadella in 2021. Christian’s work has been translated into nineteen languages, and has appeared in The New Yorker, The Atlantic, Wired, and The Wall Street Journal, as well as peer-reviewed journals such as Cognitive Science. He has been featured on The Daily Show and Radiolab, and has lectured at Google, Facebook, Microsoft, the Santa Fe Institute, and the London School of Economics. A Visiting Scholar at the University of California, Berkeley, he lives in San Francisco.

About the Creator and Host

Tom Griffiths is a professor of psychology and computer science at Princeton, where he directs the Computational Cognitive Science Lab. He has published scientific papers on topics ranging from cognitive psychology to machine learning, and has received awards from the National Academy of Sciences, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Princeton, New Jersey.

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Some very useful concepts explored to the listener. Was definitely worth my time. .

useful

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I love this series. The series is entertaining as well as educational. It teaches a similar approach as The Model Thinker by Scott Page where you learn many different models which enable you to apply models in new and interesting ways.

Many Model Thinking

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If you're into algorithms and making the world a better place this podcast is a gamechanger.

Gamechanger

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Wow. Take a seat on the bench Radiolab. There's a new most-interesting podcast in town.

Amazing series - must listen!

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I really enjoyed listening to all of these episodes. very fascinating. as a computer scientist myself, I especially enjoyed the content and how it was presented.

Pretty Cool Little Series

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when I first decided to get this book I wasn't sure how far I would make it through. but this is one of the first books in a long time that I listened to every single episode. every thought examined in this book is something you can apply to every part of your life. very interesting.

thought-provoking

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Gave me a lot of food for the mind.
Love how the connections between Computers and Human behavior was explained.

Love it

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I found it interesting that I would enjoy this so much. I learned a lot and suggested to a friend getting her Master’s in Computer Science.

Enjoyable and I learned so much.

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I really Enjoy this podcast. It tells a great story of how computers systems and humans have evolved to work together to achieve more. Less super computers and more simple PC's working in unison as well as backing each other up. I really enjoyed the patt about Que Theory.

Great lessons on decision making

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it helped me get through a lot of work during my graveyard shift. I'd recommend it

very intellectual.

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