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This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

Based in Sydney, Australia, Foundry is a blog by Rebecca Thao. Her posts explore modern architecture through photos and quotes by influential architects, engineers, and artists.

The Local Maximum Expand Your Perspective
Episode 178 - How Design Makes the World with Scott Berkun
Jun 28

Jun 28 Episode 178 - How Design Makes the World with Scott Berkun

Max Sklar
Guest Interview
Episode 177 - Lessons from Past Predictions on Autonomous Vehicles, Bitcoin, Covid, and Decentralization
Jun 21

Jun 21 Episode 177 - Lessons from Past Predictions on Autonomous Vehicles, Bitcoin, Covid, and Decentralization

Max Sklar
Solo Show
Episode 176 - Gene Epstein on Economics, Capitalism and Innovation
Jun 14

Jun 14 Episode 176 - Gene Epstein on Economics, Capitalism and Innovation

Max Sklar
Guest Interview
Episode 175 - Predictions Panel on Decentralization, Language Models, and Post-COVID
Jun 7

Jun 7 Episode 175 - Predictions Panel on Decentralization, Language Models, and Post-COVID

Max Sklar
Expert Panel
Episode 174 - Jeremy Kauffman, CEO of Odysee and LBRY for Decentralized Video
May 31

May 31 Episode 174 - Jeremy Kauffman, CEO of Odysee and LBRY for Decentralized Video

Max Sklar
Guest Interview
Episode 173 - The Fourth Turning Part II - Emerging from the Crisis
May 27

May 27 Episode 173 - The Fourth Turning Part II - Emerging from the Crisis

Max Sklar
Cohost Discussion
Episode 172 - The Fourth Turning Part I - Cycles of History
May 24

May 24 Episode 172 - The Fourth Turning Part I - Cycles of History

Max Sklar
Cohost Discussion
Episode 171 - Ransomware, Security First, and Crypto-corporations
May 17

May 17 Episode 171 - Ransomware, Security First, and Crypto-corporations

Max Sklar
Solo Show
Episode 170 - Bayesian Inference Regulations and Network Algorithms
May 10

May 10 Episode 170 - Bayesian Inference Regulations and Network Algorithms

Max Sklar
Solo Show
Episode 169 - Basecamp’s Boundary on Politics
May 3

May 3 Episode 169 - Basecamp’s Boundary on Politics

Max Sklar
Cohost Discussion
Episode 168 - Urban Augmented Reality with Iracema Trevisan
Apr 26

Apr 26 Episode 168 - Urban Augmented Reality with Iracema Trevisan

Max Sklar
Guest Interview
Episode 167 - Blockchain Rising: Wordproof and DeFi
Apr 19

Apr 19 Episode 167 - Blockchain Rising: Wordproof and DeFi

Max Sklar
Guest Interview
Episode 166 - Lockdown Memory Holes and Rates of Return
Apr 12

Apr 12 Episode 166 - Lockdown Memory Holes and Rates of Return

Max Sklar
Solo Show
Episode 165 - Peter McCormack of the What Bitcoin Did Podcast
Apr 5

Apr 5 Episode 165 - Peter McCormack of the What Bitcoin Did Podcast

Max Sklar
Guest Interview
Episode 164 - Anne Griffin on Attracting Employers and AI Product
Mar 29

Mar 29 Episode 164 - Anne Griffin on Attracting Employers and AI Product

Max Sklar
Guest Interview
Episode 163 - Flying Cars, Causality, and Digital Art Storage Concerns
Mar 22

Mar 22 Episode 163 - Flying Cars, Causality, and Digital Art Storage Concerns

Max Sklar
Cohost Discussion
Episode 162 - Assaf Lev: Cofounder and CEO of Locals
Mar 15

Mar 15 Episode 162 - Assaf Lev: Cofounder and CEO of Locals

Max Sklar
Guest Interview
Episode 161 - Fighting for Free Speech with Sam Jacobs
Mar 8

Mar 8 Episode 161 - Fighting for Free Speech with Sam Jacobs

Max Sklar
Guest Interview
Episode 160 - Digital Art, Tokens, and Rationalists
Mar 1

Mar 1 Episode 160 - Digital Art, Tokens, and Rationalists

Max Sklar
Solo Show
Episode 159 -  Gresham's Law, More Google Drama, Self Driving San Francisco
Feb 22

Feb 22 Episode 159 - Gresham's Law, More Google Drama, Self Driving San Francisco

Max Sklar
Cohost Discussion
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Subscribe on iTunes | Soundcloud | Stitcher | Odysee | Locals

Get Max's Free Cheat-Sheet on Bayesian Inference

Just sign up for the email list to keep up with exciting developments, floating ideas, and new projects from Max and his guests.

Thank you for joining The Local Maximum email list!

Download your free Bayesian Inference Page

This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

The “Local Maximum” is a mathematical term referring to a point at which one needs to step down in order to reach new heights. But people - not just points - can get caught in a local maximum. That's what happens when we've gone as far as we can through one strategy which has gone stale and need to search for new ideas. This podcast is about examining technology, engineering, and social trends by expanding perspectives and moving beyond the Local Maximum both for ourselves and our algorithms.

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