Lex Fridman Podcast - #334 – Abbas Amanat: Iran Protests, Mahsa Amini, History, CIA & Nuclear Weapons

Abbas Amanat is a historian at Yale specializing in the modern history of Iran. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Abbas’s Website: https://history.yale.edu/people/abbas-amanat
Abbas’s Books:
1. Iran: https://amzn.to/3zzLWVA
2. Apocalyptic Islam and Iranian Shi’ism: https://amzn.to/3h66fU0

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
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SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman

OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(06:18) – Mahsa Amini protests in Iran
(24:35) – Propaganda
(42:13) – Iranian culture
(59:02) – Violent suppression of protests
(1:20:31) – Islamic Revolution
(1:38:14) – CIA in Iran
(1:54:30) – Supreme Leader Ruhollah Khomeini
(2:25:26) – Supreme Leader Ali Khamenei
(2:33:21) – Nuclear weapons
(2:41:38) – Israel
(2:56:18) – Putin
(3:03:50) – Future of Iran

Code Story: Insights from Startup Tech Leaders - S7 Bonus: Kateryna Sytnyk, Fract & CTO Doctor

Kateryna Sytnyk is originally from Ukraine, but moved to the states 15 years ago after winning the green card lottery. Her background is in applied mathematics, and she grew up surrounded with logical brains - for example, her grandparent was literally a rocket scientist. When she moved to the US, she dove right into the world of entrepreneurship. Outside of tech, she travels a lot, being a digital nomad, and likes to salsa dance. She is fascinated with psychology and what drives behavior.

For her prior startup, she utilized her background in applied math, combined with her co-founder's experience in the space, to create a way to optimize territory creation - for franchises, sales teams, etc. and predict revenue for said territories. When she moved on from that gig, she started a new thing - one that would enable women founders to build technical solutions.

This is the creation story of Fract... and CTO Doctor.

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Big Technology Podcast - Merits Of Metaverse + Big Tech Wipeout — With Eric Jackson

Eric Jackson is president and portfolio manager at EMJ Capital. He joins Big Technology Podcast to discuss Big Tech's terrible week on the public markets, with a focus on Meta, which is now down 71% on the year. We also cover Alphabet, Amazon, Apple, Microsoft, Snap, and more. Tune in for a conversation that makes sense of these companies' punishing ride of late. And what the bottom might look like. Maybe we're already there.

Big Technology Podcast - Merits Of Metaverse + Big Tech Wipeout — With Eric Jackson

Eric Jackson is president and portfolio manager at EMJ Capital. He joins Big Technology Podcast to discuss Big Tech's terrible week on the public markets, with a focus on Meta, which is now down 71% on the year. We also cover Alphabet, Amazon, Apple, Microsoft, Snap, and more. Tune in for a conversation that makes sense of these companies' punishing ride of late. And what the bottom might look like. Maybe we're already there.

Learn more about your ad choices. Visit megaphone.fm/adchoices

The Stack Overflow Podcast - Making location easier for developers with new data primitives

When Foursquare launched in 2009, the app was consumer facing, letting you know where friends had checked in and what spots might appeal to you. People competed to be the “mayor” of certain locations and built guides to their favorite neighborhoods., The service expanded to allow merchants to offer discounts to frequent guests and track foot traffic in and out of the stores. While you can still use the Swarm app to find the best Manhattan in Manhattan, the company realized that real estate and data share the same three key rules: location, location, location. 

On this sponsored episode of the podcast, Ben and Ryan talk with Vin Sharma, VP of Engineering at Foursquare, about how they’re finding the atomic data that makes up their location data—their location data—and going from giving insight to individual app users about the locations around them to APIs that serve these location-based insights to developers at organizations like Uber, Nextdoor, and Redfin, who want to build location based insights and features into their own apps. 

Show notes

If you still want to check in at your local bakery and remember all the place you’ll go, the original Foursquare app is now Swarm

If you’re looking to build on their data instead, you can start with their developer documentation

They have almost 70 location attributes that they are starting to deconstruct and decompose into fundamental building blocks of their location data. Like data primitives—integers, booleans, etc.—these small bites of data can be remade with agility and at scale. 

Through the recent acquisition of Unfolded, Foursquare allows you to visualize and map location data at any scale. Want to see patterns across the country? Zoom out. Want to focus on a square kilometer? Zoom in and watch the data move. 

Today’s lifeboat shoutout goes to Rohith Nambiar for their answer to Visual Studio not installed; this is necessary for Windows development

You can find Vin Sharma on Twitter

Code Story: Insights from Startup Tech Leaders - S7 E11: Benjamin Wilms, Steadybit

Benjamin Wilms started his career in 1999 as a developer. In the little free time he has, he does mountain biking, spends time with his family, and visits the ocean a few hours away. For mountain biking, he finds that it helps him to keep life balanced away from a screen, and the ocean - well... he just likes to watch his kids play on the beach.

Seven years go, Ben started getting into the topic of Chao's engineering, while working as a consultant. As he learned about the tools on the market, he realized that to get the tool in production, it required him to understand all the codebase test coverage, without knowledge of SRE. He released on open source project of his own creation, and his approach got picked up by big name enterprises.

This is the creation story of Steadybit.

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The Stack Overflow Podcast - Homelabbing tricks to level up your WFH game

The group laughs about setting up JIRA workflows and Trello boards for our family lives—Matt says heck no.

Ceora speaks to the power of homelabbing as a way to gain profitable skills. 

JJ talks about the VPN system he has running on his phone to access his home network using tools like WireGuard and ZeroTier.

Cassidy suggests setting up a personal knowledge base as a second brain (and recommends Obsidian). 

JJ shares how homelabbing is popular among kids under 18 as a pathway for them to get into the tech industry.

Follow, Ceora, Matt, Cassidy, and JJ.

High fives to Lifeboat Badge winner Manquer for the answer to his question How can I upgrade the Yii 1.x version to the Yii 2.0 latest release version?

Lex Fridman Podcast - #333 – Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI

Andrej Karpathy is a legendary AI researcher, engineer, and educator. He’s the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford. Please support this podcast by checking out our sponsors:
Eight Sleep: https://www.eightsleep.com/lex to get special savings
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EPISODE LINKS:
Andrej’s Twitter: http://twitter.com/karpathy
Andrej’s YouTube: http://youtube.com/c/AndrejKarpathy
Andrej’s Website: http://karpathy.ai
Andrej’s Google Scholar: http://scholar.google.com/citations?user=l8WuQJgAAAAJ
Books mentioned:
The Vital Question: https://amzn.to/3q0vN6q
Life Ascending: https://amzn.to/3wKIsOE
The Selfish Gene: https://amzn.to/3TCo63s
Contact: https://amzn.to/3W3y5Au
The Cell: https://amzn.to/3W5f6pa

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast
Apple Podcasts: https://apple.co/2lwqZIr
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
YouTube Full Episodes: https://youtube.com/lexfridman
YouTube Clips: https://youtube.com/lexclips

SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman

OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:41) – Neural networks
(10:45) – Biology
(16:15) – Aliens
(26:27) – Universe
(38:18) – Transformers
(46:34) – Language models
(56:45) – Bots
(1:03:05) – Google’s LaMDA
(1:10:28) – Software 2.0
(1:21:28) – Human annotation
(1:23:25) – Camera vision
(1:28:30) – Tesla’s Data Engine
(1:32:39) – Tesla Vision
(1:39:09) – Elon Musk
(1:44:17) – Autonomous driving
(1:49:11) – Leaving Tesla
(1:54:39) – Tesla’s Optimus
(2:03:45) – ImageNet
(2:06:23) – Data
(2:16:15) – Day in the life
(2:29:31) – Best IDE
(2:36:37) – arXiv
(2:41:06) – Advice for beginners
(2:50:24) – Artificial general intelligence
(3:03:44) – Movies
(3:09:37) – Future of human civilization
(3:13:56) – Book recommendations
(3:20:05) – Advice for young people
(3:21:56) – Future of machine learning
(3:28:44) – Meaning of life