Welcome
Episodes
Appearances
Labs
Questions
Archive
About
Contact

Subscribe on iTunes | Soundcloud | Stitcher

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.

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 278 - Proof of Stake, Map Powers, and Google answer OpenAI
May 16

May 16 Episode 278 - Proof of Stake, Map Powers, and Google answer OpenAI

Max Sklar
Solo Show
Episode 277 - Open Source Sagas with Max Howell
May 9

May 9 Episode 277 - Open Source Sagas with Max Howell

Max Sklar
Guest Interview
Episode 276 - The Dictator of Easton at 21
May 3

May 3 Episode 276 - The Dictator of Easton at 21

Max Sklar
Cohost Discussion
Episode 275 - Connecticut Chronicles, Columbia Conferences & Questioning Bots
Apr 24

Apr 24 Episode 275 - Connecticut Chronicles, Columbia Conferences & Questioning Bots

Max Sklar
Cohost Discussion
Episode 274 - Quantum Computing with Ian MacCormack
Apr 17

Apr 17 Episode 274 - Quantum Computing with Ian MacCormack

Max Sklar
Guest Interview
Episode 273 - Stop Making AI Boring
Apr 11

Apr 11 Episode 273 - Stop Making AI Boring

Max Sklar
Solo Show
Episode 272 - Data Science History with Chris Wiggins and Matthew Jones
Apr 3

Apr 3 Episode 272 - Data Science History with Chris Wiggins and Matthew Jones

Max Sklar
Guest Interview
Episode 271 - Semiconductors, Lithography, and Moore's Law with Adam Kane of ASML
Mar 27

Mar 27 Episode 271 - Semiconductors, Lithography, and Moore's Law with Adam Kane of ASML

Max Sklar
Guest Interview
Episode 270 - Exciting and Terrifying - NYT Podcast Trashing, GPT4, and Bank Runs
Mar 20

Mar 20 Episode 270 - Exciting and Terrifying - NYT Podcast Trashing, GPT4, and Bank Runs

Max Sklar
Cohost Discussion
Episode 269 - Image Recognition Technology for Health with Susan Conover
Mar 13

Mar 13 Episode 269 - Image Recognition Technology for Health with Susan Conover

Max Sklar
Guest Interview
Episode 268 - Pascal's Mugging, Doomsday Clocks, and the AGI Debate
Mar 6

Mar 6 Episode 268 - Pascal's Mugging, Doomsday Clocks, and the AGI Debate

Max Sklar
Solo Show
Episode 267 - Bernoulli's Fallacy with Aubrey Clayton
Feb 27

Feb 27 Episode 267 - Bernoulli's Fallacy with Aubrey Clayton

Max Sklar
Guest Interview
Episode 266 - Simplicity, Complexity, and Text Classification with Joel Grus
Feb 20

Feb 20 Episode 266 - Simplicity, Complexity, and Text Classification with Joel Grus

Max Sklar
Guest Interview
Episode 265 - The Multi-Armed Bandit
Feb 13

Feb 13 Episode 265 - The Multi-Armed Bandit

Max Sklar
Solo Show
Episode 264 - Talking Tik Tok, Privacy, and Propaganda with Adam Kovacevich
Feb 6

Feb 6 Episode 264 - Talking Tik Tok, Privacy, and Propaganda with Adam Kovacevich

Max Sklar
Guest Interview
Episode 263 - Relative Probability
Jan 30

Jan 30 Episode 263 - Relative Probability

Max Sklar
Cohost Discussion
Episode 262 - Category Theory, Google Responds, and Another Covid Retro
Jan 24

Jan 24 Episode 262 - Category Theory, Google Responds, and Another Covid Retro

Max Sklar
Solo Show
Episode 261 - Generative AI's Grand Entrance
Jan 17

Jan 17 Episode 261 - Generative AI's Grand Entrance

Max Sklar
Solo Show
Episode 260 - New Year Predictions: Generative AI, Self Driving Cars, and Web3
Jan 10

Jan 10 Episode 260 - New Year Predictions: Generative AI, Self Driving Cars, and Web3

Max Sklar
Cohost Discussion
Episode 259 - New Years Thoughts
Jan 2

Jan 2 Episode 259 - New Years Thoughts

Max Sklar
Solo Show
Load More

Episodes Archive Browse by Format Browse by Topic About Contact

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.

Powered by Squarespace

Sponsors
Browse by Format
Browse by Topic
Questions