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Algorithms to Live By
7 recommendations

Algorithms to Live By

The Computer Science of Human Decisions

by Brian Christian

Recommended by Sophie Bakalar, Alfred Lin +
4 more

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A

@rabois @nealkhosla Yes! Love that book | Sensationally good book, and with an audiobook read by the coauthor... @brianchristian always better. Very interesting section explaining creative process in algorithmic terms, analagous to simulated annealing. @RogerLMartin will like.

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S

@rabois @nealkhosla Yes! Love that book | Sensationally good book, and with an audiobook read by the coauthor... @brianchristian always better. Very interesting section explaining creative process in algorithmic terms, analagous to simulated annealing. @RogerLMartin will like.

Source →
E

@rabois @nealkhosla Yes! Love that book | Sensationally good book, and with an audiobook read by the coauthor... @brianchristian always better. Very interesting section explaining creative process in algorithmic terms, analagous to simulated annealing. @RogerLMartin will like.

Source →
R

@rabois @nealkhosla Yes! Love that book | Sensationally good book, and with an audiobook read by the coauthor... @brianchristian always better. Very interesting section explaining creative process in algorithmic terms, analagous to simulated annealing. @RogerLMartin will like.

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Recommended by 6 notable people, including Sophie Bakalar and Alfred Lin

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Should I read this?

Recommended by 7 sources and appears in Clear Thinking, Information Technology, and Decision Making.

What should we do, or leave undone, in a day or a lifetime How much messiness should we accept What balance of the new and familiar is the most fulfilling These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decad...

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Why recommended

Recommended by 7 sources and appears in Clear Thinking, Information Technology, and Decision Making.

Recommended by notable people

People and public figures who have recommended this book.

Recommendation Signals

Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.

S

Sriram Krishnan

@rabois @nealkhosla Yes! Love that book | Sensationally good book, and with an audiobook read by the coauthor... @brianchristian always better. Very interesting section explaining creative process in algorithmic terms, analagous to simulated annealing. @RogerLMartin will like.
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Appears In

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Soft-spoken, heavily illustrated fable built from short dialogues and watercolor sketches. Each spread pairs a spare line of text with a loose drawing, so the pleasure is visual and aphoristic rather than narrative; readers collect felt-true sentences more than plot. Most useful when you want quick consolations, a prompt for conversation with a child, or a pause during a rough day. Limiting if you want sustained argument, concrete advice, or tightly plotted storytelling: the repetition of gentleness can feel sentimental or thin after a while.

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Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.

Algorithms to Live By

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