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Lex Fridman Podcasts

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9 of The Best Podcast Episodes for Lex Fridman. A collection of podcasts episodes with or about Lex Fridman, often where they are interviewed.

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9 of The Best Podcast Episodes for Lex Fridman. A collection of podcasts episodes with or about Lex Fridman, often where they are interviewed.

Updated daily with the latest episodes

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Lex Fridman

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Lex and Whitney discuss love and robots.

Follow Lex Fridman everywhere: @lexfridman

Oct 14 2020 · 2hr 54mins
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Listening To Lex Fridman & Jack Dorsey, Freedom And Globalism

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Website Tstuch.com , YouTube Taylor stuch , Twitter tstuch1 , Instagram Taylorradio

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Support this podcast: https://anchor.fm/tstuch/support
May 04 2020 · 22mins

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JRE 1422 - Lex Fridman

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Sup ninjas, New style Rogan review! Still takes 3 hours to take notes, but less time to record. Im still working on perfecting my style of rugs reviews so it will get better lolol
Feb 07 2020 · 28mins
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#1292 - Lex Fridman

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Lex Fridman is a research scientist at MIT working on human-centered artificial intelligence and autonomous vehicles.
May 08 2019 · 3hr 7mins

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Self-Driving Deep Learning with Lex Fridman Holiday Repeat

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Originally posted on 28 July 2017.

Self-driving cars are here. Fully autonomous systems like Waymo are being piloted in less complex circumstances. Human-in-the-loop systems like Tesla Autopilot navigate drivers when it is safe to do so, and lets the human take control in ambiguous circumstances.

Computers are great at memorization, but not yet great at reasoning. We cannot enumerate to a computer every single circumstance that a car might find itself in. The computer needs to perceive its surroundings, plan how to take action, execute control over the situation, and respond to changing circumstances inside and outside of the car.

Lex Fridman has worked on autonomous vehicles with companies like Google and Tesla. He recently taught a class on deep learning for semi-autonomous vehicles at MIT, which is freely available online. There was so much ground to cover in this conversation. Most of the conversation was higher level. How do you even approach the problem? What is the hardware and software architecture of a car?

I enjoyed talking to Lex, and if you want to hear more from him check out his podcast Take It Uneasy, which is about jiu jitsu, judo, wrestling, and learning.

The post Self-Driving Deep Learning with Lex Fridman Holiday Repeat appeared first on Software Engineering Daily.

Dec 27 2018 · 59mins
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#1188 - Lex Fridman

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Lex Fridman is a research scientist at MIT, working on human-centered artificial intelligence.
Oct 25 2018 · 3hr 4mins
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12.29.17 – Interview with MIT Research Scientist Lex Fridman

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– MIT researcher and lecturer Lex Fridman joins the show to discuss his thoughts on autonomous driving, simulation vs. real world data, human/AI interaction, and ethics in autonomy – Lex’s team’s study can be found here: https://hcai.mit.edu/mit-avt.pdf

Links: Email > tesladailypodcast@gmail.com Twitter > @teslapodcast Patreon > patreon.com/tesladailypodcast

Music by Evan Schaeffer

The post 12.29.17 – Interview with MIT Research Scientist Lex Fridman appeared first on TechCast Daily.

Dec 30 2017 · 52mins
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Self-Driving Deep Learning with Lex Fridman

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Self-driving cars are here. Fully autonomous systems like Waymo are being piloted in less complex circumstances. Human-in-the-loop systems like Tesla Autopilot navigate drivers when it is safe to do so, and lets the human take control in ambiguous circumstances.

Computers are great at memorization, but not yet great at reasoning. We cannot enumerate to a computer every single circumstance that a car might find itself in. The computer needs to perceive its surroundings, plan how to take action, execute control over the situation, and respond to changing circumstances inside and outside of the car.

Lex Fridman has worked on autonomous vehicles with companies like Google and Tesla. He recently taught a class on deep learning for semi-autonomous vehicles at MIT, which is freely available online. There was so much ground to cover in this conversation. Most of the conversation was higher level. How do you even approach the problem? What is the hardware and software architecture of a car?

I enjoyed talking to Lex, and if you want to hear more from him check out his podcast Take It Uneasy, which is about jiu jitsu, judo, wrestling, and learning.

Transcript

Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.

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The post Self-Driving Deep Learning with Lex Fridman appeared first on Software Engineering Daily.

Jul 28 2017 · 59mins
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Self-Driving Deep Learning with Lex Fridman

Play
Read more

Self-driving cars are here. Fully autonomous systems like Waymo are being piloted in less complex circumstances. Human-in-the-loop systems like Tesla Autopilot navigate drivers when it is safe to do so, and lets the human take control in ambiguous circumstances.

Computers are great at memorization, but not yet great at reasoning. We cannot enumerate to a computer every single circumstance that a car might find itself in. The computer needs to perceive its surroundings, plan how to take action, execute control over the situation, and respond to changing circumstances inside and outside of the car.

Lex Fridman has worked on autonomous vehicles with companies like Google and Tesla. He recently taught a class on deep learning for semi-autonomous vehicles at MIT, which is freely available online. There was so much ground to cover in this conversation. Most of the conversation was higher level. How do you even approach the problem? What is the hardware and software architecture of a car?

I enjoyed talking to Lex, and if you want to hear more from him check out his podcast Take It Uneasy, which is about jiu jitsu, judo, wrestling, and learning.

Transcript

Transcript provided by We Edit Podcasts. Software Engineering Daily listeners can go to weeditpodcasts.com/sed to get 20% off the first two months of audio editing and transcription services. Thanks to We Edit Podcasts for partnering with SE Daily. Please click here to view this show’s transcript.

Sponsors


Have you been thinking you’d be happier at a new job? If you’re dreaming about a new job and have been waiting for the right time to make a move, go to hired.com/sedaily. Hired makes finding work enjoyable. Hired uses an algorithmic job-matching tool in combination with a talent advocate who will walk you through the process of finding a better job. Check out hired.com/sedaily to get a special offer for Software Engineering Daily listeners–a $600 signing bonus from Hired when you find that great job that gives you the respect and salary that you deserve as a talented engineer. 


Bugsnag is an automatic error-monitoring platform that helps developers understand the impact of application errors and fix the ones that matter in a time-efficient and enjoyable way. Bugsnag’s open source error reporting libraries automatically capture errors and provide in-depth diagnostic reports across all major programming languages and frameworks. Diagnostic reports consolidate the information you need to reproduce errors in one place, including the stacktrace. Errors are grouped by root cause and mapped to users so you can easily identify which errors are the most widespread and affect the greatest amount of users. Integrate with Slack and PagerDuty to get notified in real-time of new errors and spikes in your error rate. Then, integrate with your issue tracker or use Bugsnag’s workflow to help you move errors through your debugging process and get them fixed for your users.  Airbnb, Lyft, and Shopify all use Bugsnag for error-monitoring. Get up and running in three minutes. Try all features free for 14 days at bugsnag.com/sedaily.


Toptal is the best place to find reasonably priced, extremely talented software engineers to build your projects from scratch or scale your workforce. Get a free pair of Apple Airpods when you use Toptal.com/sedaily to work with an engineer for at least 20 hours.


VividCortex is the best way to improve your database performance, efficiency, and uptime. It’s a cloud-hosted monitoring platform that eliminates your most critical visibility gap, providing insights at 1-second granularity into production database workload and query performance. It measures the execution and resource consumption of every statement and transaction, so you can proactively fix future database issues before they impact customers. To learn more, visit vividcortex.com/sedaily and find out why companies like Github, DigitalOcean, and Yelp all use VividCortex to see deeper into their database performance. Learn more at vividcortex.com/sedaily, and get started today!

The post Self-Driving Deep Learning with Lex Fridman appeared first on Software Engineering Daily.

Jul 28 2017 · 59mins