Lex Fridman Podcast - Dava Newman: Space Exploration, Space Suits, and Life on Mars

Dava Newman is the Apollo Program professor of AeroAstro at MIT and the former Deputy Administrator of NASA and has been a principal investigator on four spaceflight missions. Her research interests are in aerospace biomedical engineering, investigating human performance in varying gravity environments. She has developed a space activity suit, namely the BioSuit, which would provide pressure through compression directly on the skin via the suit’s textile weave, patterning, and materials rather than with pressurized gas.

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon.

This episode is presented by Cash App. Download it, use code LexPodcast. You get $10 and $10 is donated to FIRST, one of my favorite nonprofit organizations that inspires young minds through robotics and STEM education.

Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

00:00 – Introduction
03:11 – Circumnavigating the globe by boat
05:11 – Exploration
07:17 – Life on Mars
11:07 – Intelligent life in the universe
12:25 – Advanced propulsion technology
13:32 – The Moon and NASA’s Artemis program
19:17 – SpaceX
21:45 – Science on a CubeSat
23:45 – Reusable rockets
25:23 – Spacesuit of the future
32:01 – AI in Space
35:31 – Interplanetary species
36:57 – Future of space exploration

Python Bytes - #157 Oh hai Pandas, hold my hand?

Topics covered in this episode:
See the full show notes for this episode on the website at pythonbytes.fm/157

Lex Fridman Podcast - Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning

Michael Kearns is a professor at University of Pennsylvania and a co-author of the new book Ethical Algorithm that is the focus of much of our conversation, including algorithmic fairness, bias, privacy, and ethics in general. But, that is just one of many fields that Michael is a world-class researcher in, some of which we touch on quickly including learning theory or theoretical foundations of machine learning, game theory, algorithmic trading, quantitative finance, computational social science, and more.

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon. This episode is sponsored by Pessimists Archive podcast. Here’s the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode):

00:00 – Introduction
02:45 – Influence from literature and journalism
07:39 – Are most people good?
13:05 – Ethical algorithm
24:28 – Algorithmic fairness of groups vs individuals
33:36 – Fairness tradeoffs
46:29 – Facebook, social networks, and algorithmic ethics
58:04 – Machine learning
58:05 – Machine learning
59:19 – Algorithm that determines what is fair
1:01:25 – Computer scientists should think about ethics
1:05:59 – Algorithmic privacy
1:11:50 – Differential privacy
1:19:10 – Privacy by misinformation
1:22:31 – Privacy of data in society
1:27:49 – Game theory
1:29:40 – Nash equilibrium
1:30:35 – Machine learning and game theory
1:34:52 – Mutual assured destruction
1:36:56 – Algorithmic trading
1:44:09 – Pivotal moment in graduate school

The Stack Overflow Podcast - How Would You React?

 

Part 1

The crew chats about how Paul and Sara made the transition from individual contributors to managers overseeing teams of engineers. Sara used to see this transition as a form of selling out, but has a new perspective after having made the shift. Paul admits he still doesn’t feel like a “CEO” and how he approaches his role as the co-founder who focuses on creating signal instead of operations. OF course, we argue about Bitcoin, and finally we examine the role luck plays in life, especially for The Rock. 

Interview - Kent C Dodds

Kent admits that when he first tried programming, he just couldn’t understand strings, and decided the career path wasn’t for him. He ended up on a track that would have made him an accountant or business intelligence analyst. From that perch, however, he began to find ways to automate and improve his workflows. Not only did this help him stand out at work, it reawakened his interest in coding, which is now his full time career. 

Part 2 

Sara talks about the difference between writing code for software applications, and writing firmware, which she got into while helping to launch and run Jewelbots. Paul and Sara recall what it was like working in tech during the 90s, when they had to constantly worry about how to conserve RAM. We also talk about the days before Git, when folks passed a hard drive around from hand to hand. The kids today have no idea how good they have it.

Code Story: Insights from Startup Tech Leaders - S1 E13: Ben Milne, Dwolla

Ben Milne grew up in a small town, and has had a pretty normal life. Raising a family, riding a stationary bike and funding startups through selling music gear, he has been in the tech world for a good while. His second startup started as a consumer product that you downloaded to move money between banks… without using credit cards or paying hefty fees. What he discovered was the thing they were best at was payment processing infrastructure… So he changed his business to focus on being a high performing, white label solution for enabling others to process ACH payments – and started phase two of his company, known as Dwolla. 


Today’s sponsors:

Dwolla (https://dwolla.com/codestory)

Hackbright Academy (https://hackbrightacademy.com/learn-programs-cs)


Links


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Credits: Code Story is hosted and produced by Noah Labhart, Co-produced and edited by George Mocharko. Be sure to subscribe on Apple PodcastsSpotifyPocket CastsGoogle PlayBreakerYouTube, or the podcasting app of your choice.



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Lex Fridman Podcast - Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot

Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This is the second time Elon has been on the podcast. You can watch the first time on YouTube or listen to the first time on its episode page. You can read the transcript (PDF) here. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts or support it on Patreon. Here’s the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode):

00:00 – Introduction
01:57 – Consciousness
05:58 – Regulation of AI Safety
09:39 – Neuralink – understanding the human brain
11:53 – Neuralink – expanding the capacity of the human mind
17:51 – Neuralink – future challenges, solutions, and impact
24:59 – Smart Summon
27:18 – Tesla Autopilot and Full Self-Driving
31:16 – Carl Sagan and the Pale Blue Dot

The Stack Overflow Podcast - Too DEV.to Quit

Part 1

Paul and Sara chat about what language is best to choose as your first when you're just getting started on your journey as a programmer. Probably not Mathmatica, but it's a neat one.

Jupyter Notebooks - an in-browser notebook for working with Python. You can write your words, have your code right next to it, and see how things play out. Or as Tom Butterworth put it on DEV.

"Jupyter Notebook is an interactive web application that interfaces with the iPython repl, allowing you to run structured but iterative Python scripts. It is the de facto choice for data scientists to rapidly prototype pipelines, visualise data, or perform ad hoc analysis."

Interview: Jess Lee

Jess Lee had some great perspectives to share on what it means to balance being an entrepreneur and a coder.

Issac Lyman kicked off a community project on DEV to create a book that would help guide readers through their first year in code. 15 contributors ended up writing chapters for the book, which is available for free here.

DEV is open source, and they have decided it can be a software platform other organizations can use to build their own communities. As Ben Halpern writes, "The future of our company will be based on delivering the DEV open-source software to power new standalone communities. We will work with a network of partners both inside and outside of the software ecosystem."

Part 2

We dig into D3.JS. Stack Overflow has a lot to teach folks on this subject.

What's the best way to make a d3.js visualization layout responsive?

Just don't ask about a good book for learning the subject!

And finally, what's the difference between d3.js and jQuery? It's a silly question with some interesting answers and a nice history of the web in the background.