- Preloading benchmarks in PHP 7.4 - stitcher.io
- The Communications Workers of America is seeking to unionize tech and video game workers
- Three years after the W3C approved a DRM standard, it's no longer possible to make a functional indie browser
- Early Version of Laravel Airlock is Available for Testing
- New SHA-1 Attack - Schneier on Security
Lex Fridman Podcast - Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems
Ayanna Howard is a roboticist and professor at Georgia Tech, director of Human-Automation Systems lab, with research interests in human-robot interaction, assistive robots in the home, therapy gaming apps, and remote robotic exploration of extreme environments.
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, follow on Spotify, or support it on Patreon.
This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.
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
02:09 – Favorite robot
05:05 – Autonomous vehicles
08:43 – Tesla Autopilot
20:03 – Ethical responsibility of safety-critical algorithms
28:11 – Bias in robotics
38:20 – AI in politics and law
40:35 – Solutions to bias in algorithms
47:44 – HAL 9000
49:57 – Memories from working at NASA
51:53 – SpotMini and Bionic Woman
54:27 – Future of robots in space
57:11 – Human-robot interaction
1:02:38 – Trust
1:09:26 – AI in education
1:15:06 – Andrew Yang, automation, and job loss
1:17:17 – Love, AI, and the movie Her
1:25:01 – Why do so many robotics companies fail?
1:32:22 – Fear of robots
1:34:17 – Existential threats of AI
1:35:57 – Matrix
1:37:37 – Hang out for a day with a robot
Python Bytes - #164 Use type hints to build your next CLI app
- * Data driven journalism via* cjworkbench
- remi: A Platform-independent Python GUI library for your applications.
- Typer
- Effectively using Matplotlib
- Django Simple Task
- PyPI Stats at pypistats.org
- Extras
- Joke
Talk Python To Me - #247: Solo maintainer of open-source in academia
Lex Fridman Podcast - Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
Daniel Kahneman is winner of the Nobel Prize in economics for his integration of economic science with the psychology of human behavior, judgment and decision-making. He is the author of the popular book “Thinking, Fast and Slow” that summarizes in an accessible way his research of several decades, often in collaboration with Amos Tversky, on cognitive biases, prospect theory, and happiness. The central thesis of this work is a dichotomy between two modes of thought: “System 1” is fast, instinctive and emotional; “System 2” is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type of thinking.
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, follow on Spotify, or support it on Patreon.
This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.
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
02:36 – Lessons about human behavior from WWII
08:19 – System 1 and system 2: thinking fast and slow
15:17 – Deep learning
30:01 – How hard is autonomous driving?
35:59 – Explainability in AI and humans
40:08 – Experiencing self and the remembering self
51:58 – Man’s Search for Meaning by Viktor Frankl
54:46 – How much of human behavior can we study in the lab?
57:57 – Collaboration
1:01:09 – Replication crisis in psychology
1:09:28 – Disagreements and controversies in psychology
1:13:01 – Test for AGI
1:16:17 – Meaning of life
The Stack Overflow Podcast - Occam’s Blazor
Software is eating the world, but what's on the menu for dessert?
This week we chat about the best way for engineers to give feedback to executives. Paul explains the Purple room method they use at Postlight. Sara references Zero to One and why engineers and marketers have so much trouble communicating.
As a member of a marketing department , it's true our job is to see the glass as half full. But sometimes the point of the exercise is to be aspirational. Police learn how to be suspicious, marketers learn how to sell, and engineers look for what's broken so they can fix it.
We chat about the ten thousand or so parking meters that went on the fritz in New York City. The company says it was the result of a fraud prevention protocol. Was this a Y2K style glitch or a logic bomb?
Sara finds the developer angle on the recent rift in the British Royal Family. New technologies always reshape the Monarchy's relationship to the public. From the first radio address to the televised coronation, to a Wordpress website and an Instagram post, each generation tries to use the modern medium to their advantage.
We discuss a fairly devious bit of brilliant parenting. If your young child wants to be a YouTube star, and you can build them their own private version of the platform, with randomly generated likes and none of the cyber-bullying, are you protecting them? Or, perhaps, crafting a Truman Show for the internet age that will have consequences down the road.
Last but not least, we check out the Blazor tag, one of the fastest growing areas of interest on Stack Overflow. It's a framework that extends the established Razor syntax. The goal is to enable developers to write client-side code in .NET, backed by WebAssembly.
Code Story: Insights from Startup Tech Leaders - S1 E19: Chris Slowe, Reddit
A tech and science minded individual, Chris Slowe has spent 9 years with Reddit. Beyond being a tech executive with the company, he is a Dad and likes to work with his hands in the machine shop. When he put roots into the product as the first employee, he and the co-founders wanted to build a place to discuss interesting topics. Fast forward many years, Reddit is now the premier place for news aggregation, content rating and online discussion around interesting information.
Links
- http://reddit.com/
- https://www.linkedin.com/in/chrisslowe/
- https://en.wikipedia.org/wiki/Christopher_Slowe
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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 Podcasts, Spotify, Pocket Casts, Google Play, Breaker, YouTube, or the podcasting app of your choice.
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Python Bytes - #163 Meditations on the Zen of Python
- Meditations on the Zen of Python
- * nginx raided by Russian police*
- I'm not feeling the async pressure
- codetiming from Real Python
- Making Python Programs Blazingly Fast
- LocalStack
- Extras
- Joke
