Computer science algorithms tackle fundamental and universal problems. Can they help us live better, or is that a false hope?
Bestselling author Brian Christian on what CS can and can't teach us about when to quit your job, when to marry, the best way to sell your house, and more.
Brian Christian on computer science algorithms that tackle fundamental and universal problems — and whether they can help us live better in practice | 80,000 Hours Search for: On this page: Introduction 1 Highlights 2 Articles, books, and other media discussed in the show 3 Transcript 4 Learn more 5 Related episodes Read transcript See all episodes We tend to think of deciding whether to commit to a partner, or where to go out for dinner, as uniquely and innately human problems. The message of the book is simply: they are not. In fact they correspond – really precisely in some cases R
related reading
- Infinite midwit - by Adam Mastroianniexperimental-history.com
- How we rank the world's most pressing problems (and why) | 80,000 Hours80000hours.org
- There's never been a better time to go into mathyoutube.com
- Explore More: A Bag of Tricks to Keep Your Life on the Rails — LessWronglesswrong.com
- Robert Wiblin - about me, links to writing, contactrobwiblin.com
- Robin Hanson Says You're Going to Liverichardhanania.substack.com
- Machine Learning, Kolmogorov Complexity, and Squishy Bunniestheorangeduck.com
- Holden Karnofsky on building aptitudes and kicking ass | 80,000 Hours80000hours.org
- Inventing the near future | Alexandriasfalexandria.com
- The Role of Computer Science in Computer Science Educationyoutube.com
- Brian Kernighan: Inside Bell Labs, The Best Programmer, Why C Wonyoutube.com
- Life Is 4,000 Weeks. You’re Already Burning Through Them.youtube.com