Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!

KBall and Nick sync up with Node.js core contributor Ujjwal Sharma to dive deep into how to get into the world of open source software.

Vitor De Mario joined the show and talked with us about hacking genetics with Go, GopherCon Brazil, machine learning, and other interesting projects and news.

Nick, KBall, and Chris respond to follow up on the State of JavaScript survey, discuss Chromium, Edge, and the future of the web, and reminisce about the past year in the final JS Party of 2018!

KBall and Nick catch up with Nara Kaspergen and Jen Looper for a pair of conversations covering Voice UI Devices, using NativeScript for mobile development, and Jen’s work with Vue Vixens helping make the Vue.js community welcoming to women and non-binary people.

Sam Boyer joined the show to talk about dependency management, building community consensus, and other interesting Go projects and news.

GitLab has changed a lot over the past 8 years and so has Abubakar. Starting in the help desk he’s seen a lot and takes us through GitLab’s and his progression.

KBall MC’d a live show at NodeConf Colombia with a panel of 4 experts from the Node community — Kat Marchán, Anna Henningsen, Ruben Bridgewater, and James Snell. It was a great discussion about the future of Node.js and the Node.js ecosystem.

Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.

We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js

Blake Mizerany joined the show to talk about coming to Go from Ruby, Go’s growth and adoption over the past 7 years, adopting external dependencies, building a startup on Go, and coding as CEO.

Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.

In today’s Kaizen episode, we talk about shipping Adam’s Christmas present: chapter support for all Changelog episodes that we now publish. This feature was hard because there are many subtle differences in how the ID3 spec is implemented. Of course, once the PR shipped, there were other issues to solve, including an upgrade the world kind of scenario. Since Lars Wikman did all the heavy ID3 lifting, he joins us in this episode.

High expectations for performance in both life and work are common, but what do you do when you get stuck and you’re not able to achieve the results you desire? In this episode, Mireille and Adam talk through the different aspects of perfectionism and ways in which is can be adaptive and helpful and other ways in which it poses additional challenges. What happens when we avoid the possibility of failure as opposed to simply having high standards for our performance? How can we begin to focus on healthy striving as opposed to reaching for perfection?

Rob Barnes (a.k.a. Devops Rob) and Rosemary Wang (author of Infrastructure as Code - Patterns & Practices) are joining us today to talk about infrastructure secrets.

What do Rosemary and Rob think about committing encrypted secrets into a repository? How do they suggest that we improve on storing secrets in LastPass? And if we were to choose HashiCorp Vault, what do we need to know?

Thank you Thomas Eckert for the intro. Thank you Nabeel Sulieman (ep. 46) & Kelsey Hightower (ep. 44) for your gentle nudges towards improving our infra secrets management.

Cassandra Salisbury (the Go core team’s newest member) joined Carlisia (who’s hosting all by herself) to talk about getting to know the Go community around the world, organizing meetups, empowering leaders, and what’s in store for the future.

Jerod, Mikeal, and Feross welcome Antoni Kepinski to the show to discuss his open source pizza ordering management web app. We talk about learning programming at a young age, how overwhelming web development can be these days, how Antoni decided which technologies to use, and more. This is a super fun conversation with many insights and takeaways for developers at every stage of their career.

Leo Kalneus joined the show and talked with us about GopherCon Russia and the Go community in Russia. We also debunked a few myths about Siberia and of course talked about interesting Go projects and news.

The quality of your thinking depends on your mental framework. To become a better thinker you need to have an understanding of this mental framework and how you view the world. But, what exactly is a mental framework? How have we all been programmed throughout our lives? In what ways have you been programed that you like, don’t like, or want to change? Join us as we explore and examine the key components of developing a mental framework.

KBall and Nick meet up with Jory Burson and Amal Hussein at Node+JS Interactive. Together we open up the black box of the JavaScript standards process, talk about how to get involved, and then dig into the use of ASTs to transform and analyze JavaScript.

In today’s episode, we talk about distroless, ko, apko, melange, musl and glibc. The context is Wolfi OS, a community Linux OS designed for the container and cloud-native era. If you are looking for the lightest possible container base image with 0 CVEs and both glibc and musl support, Wolfi OS & the related chainguard-images are worth checking out.

Ariadne Conill is an Alpine Linux TSC member & Software Engineer at Chainguard.

Himani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&T and telecom in general.

This week Sid Sijbrandij, Co-founder and CEO of GitLab, is back talking with Adam about all the details of their massive IPO last October 2021. To set the stage, this episode was recorded on Feb 1, 2022. During the show Adam mentioned they IPO’d at a $13B market cap, but they actually ended their opening day at approximately $15B. That’s a massive win for open source, GitLab, Sid, and the rest of the team. For loyal listeners you know we’ve had Sid on this show before, so of course we had to get him back on the show post-IPO to get all the details of this new journey.

Jerod and Suz talk with John Resig about how he’s using GraphQL at Khan Academy, some of the mistakes and successes using GraphQL, John’s feelings on jQuery, and community Q&A.

Anita Zhang is here to tell us how Meta manages millions of bare metal Linux hosts and containers. We also discuss the Twine white paper and how AI is changing their requirements.

Nick and Mikeal catch up with Henry Zhu, the maintainer of Babel and host of the Maintainers Anonymous and Hope in Source podcasts. We discuss his path to open source maintainer-ship. We also chat about best practices for interacting with maintainers, while remembering that people are behind open source, and we talk self-care and avoiding burnout, culminating in a self-care repo being created to gather and discuss tips to care for yourself.

This week Daniel and Chris discuss the announcements made recently at TensorFlow Dev Summit 2019. They kick it off with the alpha release of TensorFlow 2.0, which features eager execution and an improved user experience through Keras, which has been integrated into TensorFlow itself. They round out the list with TensorFlow Datasets, TensorFlow Addons, TensorFlow Extended (TFX), and the upcoming inaugural O’Reilly TensorFlow World conference.

Maybe it’s the Californian sun. Or perhaps it’s the time spent at Disney Studios, the home of the best stories. One thing is for sure: Taylor Dolezal is one of the happiest cloud native people that Gerhard knows.

As a former Lead SRE for Disney Studios, Taylor has significant hands-on experience running cloud native technologies in a large company. After a few years as a HashiCorp Developer Advocate, Taylor is now Head of End User Ecosystem at CNCF. In his current role, he is helping enable cloud native success for end-users like Boeing, Mercedes Benz & many others.

For our last 2022 Kaizen episode, we went all out:

• 💪 @jerod outdid himself in the number of improvements shipped between Kaizens
• 🕺 A few of our listeners contributed → prompted us to create a new contributing guide
• 🗺 We now have a new infrastructure diagram

All of this, and a whole lot more, is captured as GitHub discussion 🐙 changelog.com#433. If you want to see everything that we improved, that is a great companion to this episode.

What do you do when your infrastructure runs 1000 miles away and you only have access every 90 minutes? Find out from Andrew Guenther from Orbital Sidekick.