Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Curious Worldview

Tom Chivers | It's Bayes All The Way Down... Probability & Bayes Theorem

09 Jul 2024

Description

✍︎: The Curious Worldview Newsletter - the ultimate compliment to the podcast...Other episode of the podcast that suit this episode...Brian Klaas – Fluke & RandomnessRuss Roberts – EconTalkLuca Dellanna – Ergodicity All The Way DownScott Patterson – Chaos KingsNassim Taleb & Incerto PodcastFollow me on Instagram – @ryanfhoggEverything Is Predictable – Tom ChiversTom Chivers is a prolific science writer whose written for Buzzfeed, The Telegraph, Unherd, published books, written for loads of other publications as well and now writes for Semafor’s daily flagship email (something I read everyday)… but here Tom is today to discuss his book about Bayes called… EVERYTHING IS PREDICTABLE: How Bayes’ Remarkable Theorem Explains the World and, the lead is not buried in this case, it is a book about Bayes Throerom which to put it simply… is an equation to calculate probability.Now, my Talebian listeners will recognise a contradiction to our worldview in the title here… everything is predictable? how often has Taleb’s quotes, how can we predict a future of infinite possibilities based off a finite experience of the past appeared on this podcast? We get into Chivers differences with that Talebian worldview, but as well, there is top to bottom what is Bayes theorem, why does it matter, the role of this theorem at the foundation of all of these LLM’s and therefore much of AI. a neat little anecdote of Chivers family member, Sir John Maynard Keynes and plenty more as well!00:00 – Who Is Tom Chivers01:34 – Great Great Uncle John Maynard Keynes08:44 – What’s The Point Of Bayes?19:14 – What Is Bayes Theorem?39:34 – Disagreeing With Nassim Taleb 52:24 – Counterintuitive Aspects Of Bayes56:28 – Bayes & LLM’s & AI1:15:12 – Serendipity In Tom’s Life🍻☕: https://www.buymeacoffee.com/ryanhogg

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.