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How the U.S. military thinks about AI (Practical AI #72)
Chris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). The mission of the JAIC is "to seize upon the transformative potential of artificial intelligence technology for the benefit of America's national security... The JAIC is the official focal point of the DoD AI Strategy." So if you want to understand how the U.S. military thinks about artificial intelligence, then this is the episode for you!

These talks are all quite attractive (JS Party #109)
At Node+JS Interactive... the talks are all quite attractive. From transpilation dread... to awesome worker threads. This conf is surely impactive!

defer GoTime() (Go Time #112)
Mat, Carmen, and Jon are joined by Dan Scales to talk about Mat's favorite keyword in Go - defer. Where did the defer statement come from? What problems can it solve? How has it shaped how we write Go code? How are other languages solving similar problems? And what exactly was changed in Go 1.14 to improve the performance of defer?

2019's AI top 5 (Practical AI #71)
Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the "state of AI" at the end of 2019, and they make some predictions for 2020.

New Year's Party! 🎉 (JS Party #108)
Jerod, Divya, Chris, KBall, & Nick ring in the new year with our 2020 predictions, wish lists, & resolutions. Will Chrome's browser market share decrease? Will Svelte (or a Svelte-alike) continue to trend? Will Jerod finally write some TypeScript?! Listen along and let us know your thoughts on the matters.

What are you thinking? (Brain Science #7)
Mireille and Adam discuss the role of our thoughts, how they run our lives, and how they make us feel. We talk through alternative ways to think, the power we hold in starving our habitual neural networks, and the ways our thoughts help us to be our best selves. How aware are you of the quality of the soil of your mind?

Gerhard goes to KubeCon (part 2) (Changelog Interviews #375)
Gerhard is back for part two of our interviews at KubeCon 2019. Join him as he goes deep on Prometheus with Björn Rabenstein, Ben Kochie, and Frederic Branczyk... Grafana with Tom Wilkie and Ed Welch... and Crossplane with Jared Watts, Marques Johansson, and Dan Mangum. Don't miss part one with Bryan Liles, Priyanka Sharma, Natasha Woods, & Alexis Richardson.

Bugs are in the air (Go Time #111)
Guests are catching the bug, so we decided to spend this episode talking about bugs! How do you find and fix your bugs? Do you sketch things out, whip out the debugger, or something else?

AI for search at Etsy (Practical AI #70)
We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? Andrew Stanton from Etsy joins us to dive into AI-based search methods and to talk about neuroevolution. He also gives us an introduction to Rust for production ML/AI and explains how that community is developing.

Modular software architecture (JS Party #107)
Jerod and Divya welcome npm CTO Ahmad Nassri to discuss modular architecture. What it is, why it matters, and how you can achieve it. Ahmad has been thinking deeply about this topic lately and we have a very fruitful discussion that should have takeaways for developers of all experience levels.

Gerhard goes to KubeCon (part 1) (Changelog Interviews #374)
Changelog's resident infrastructure expert Gerhard Lazu is on location at KubeCon 2019. This is part one of a two-part series from the world's largest open source conference. In this episode you'll hear from event co-chair Bryan Liles, Priyanka Sharma and Natasha Woods from GitLab, and Alexis Richardson from Weaveworks. Stay tuned for part two's deep dives in to Prometheus, Grafana, and Crossplane.

The fireside edition 🔥 (Go Time #110)
Grab a hot beverage and a warm blanket because it's time for a fireside chat with the Go Time panel! We discuss many topics of interest: what we'd build if we had 2 weeks to build _anything_ in Go, the things about Go that "grind our gears", our ideal work environments, and advice we'd give ourselves if we were starting our career all over again.

Escaping the "dark ages" of AI infrastructure (Practical AI #69)
Evan Sparks, from Determined AI, helps us understand why many are still stuck in the "dark ages" of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI's economic and environmental health impact.

Trending up GitHub's developer charts (Changelog Interviews #373)
In this episode we’re shining our maintainer spotlight on Ovilia. Hailing from Shanghai, China, Ovilia is an up-and-coming developer who contributes to Apache ECharts, maintains Polyvia, which does very cool low-poly image and video processing, and has a sweet personal website, too. This episode with Ovilia continues our maintainer spotlight series where we dig deep into the life of an open source software maintainer. We’re producing this series in partnership with Tidelift. Huge thanks to Tidelift for making this series possible.

Mikeal schools us on ES Modules (JS Party #106)
ES Modules are unflagged in Node 13. What does this mean? Can we use them yet? We chat with Mikeal, our resident expert, and find out.

Building an open source excavation robot for NASA (Changelog Interviews #372)
Ronald Marrero is a software developer working on NASA's Artemis program, which aims at landing the first woman and next man on the Moon by 2024. How Ron got here is a fascinating story, starting at UCF and winding its way through the Florida Space Institute, working with NASA's Swamp Works team, and building an open source excavation robot. On this episode Ron tells us how it all went down and shares what he learned along the way.

Concurrency, parallelism, and async design (Go Time #109)
Go was designed with concurrency in mind. That's why we have language primitives like goroutines, channels, wait groups, and mutexes. They're very powerful when used correctly, but they can be very complicated if used unwisely. Roberto Clapis joins the team once again to drop async wisdom in your ears. Don't worry, we do it in serial. 😉

Modern NLP with spaCy (Practical AI #68)
SpaCy is awesome for NLP! It's easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don't want to miss this episode!

Re-licensing Sentry (Changelog Interviews #371)
David Cramer joined the show to talk about the recent license change of Sentry to the Business Source License from a BSD 3-clause license. We talk about the details that triggered this change, the specifics of the BSL license and its required parameters, the threat to commercial open source products like Sentry, his concerns for the "open core" model, and what the future of open source might look like in light of protections-oriented source-available licenses like the BSL becoming more common.

Modernizing Etsy’s codebase with React (JS Party #105)
KBall connects with Katie Sylor-Miller to talk about migrating OhShitGit to the JAMStack, migrating legacy codebases to modern front-end technologies, and design systems.

Making GANs practical (Practical AI #67)
GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.

The making of GitHub Sponsors (Changelog Interviews #370)
Devon Zuegel is an Open Source Product Manager at GitHub. She's also one of the key people responsible for making GitHub Sponsors a thing. We talk with Devon about how she came to GitHub to develop GitHub Sponsors, the months of research she did to learn how to best solve the sustainability problem of open source, why GitHub is now addressing this issue, the various ways and models of addressing maintainers' financial needs, and Devon also shared what's in store for the future of GitHub Sponsors.

Mentor-ship 🛳️ (JS Party #104)
This week we chatted with Kahlil Lechelt about mentorship. What types of mentorships are there, what makes a successful mentorship, and where can you find a mentor?

Respect, empathy, and compassion (Brain Science #6)
Mireille and Adam discuss empathy, respect, and compassion and the role each of these interpersonal constructs play in strengthening our relationships, both personally and professionally. What exactly is empathy, respect, and compassion? What are key indicator lights to be aware of when any of them are lacking or off-kilter? We also discuss Dr. John Gottman’s research on "The Four Horsemen" in relationships.

Graph databases (Go Time #108)
Mat, Johnny, and Jaana are joined by Francesc Campoy to talk about Graph databases. We ask all the important questions — What are graph databases (and why do we need them)? What advantages do they have over relational databases? Are graph databases better at answering questions you didn’t anticipate? How is data structured? How do queries work? What problems are they good at solving? What problems are they not suitable for? And...since we had Francesc on the hot seat, we asked him about Just for Func and when it's coming back.

Build custom ML tools with Streamlit (Practical AI #66)
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.

Compilers and interpreters (Go Time #107)
Thorsten Ball and Tim Raymond join Mat Ryer and Mark Bates to talk about compilers and interpreters. What are the roles of compilers and interpreters? What do they do? The how and why of writing a compiler in Go. We also talk about Thorsten’s books "Writing an Interpreter in Go" and "Writing a Compiler in Go."

You're probably using streams (JS Party #103)
This week we chat with Matteo Collina, Technical Director at NearForm and member of the Node.js Technical Steering Committee, about his upcoming Node+JS Interactive talk on Node Streams. We talk about their creation before any standards and how they are one of the bedrock APIs used throughout the Node ecosystem. We also talk about WHATWG streams and some of their key differences, and how streams have gotten easier to work with thanks to the addition of async iterators and generators to the language.

Ten years of Changelog 🎉 (Backstage #9)
On this special re-broadcast of the freeCodeCamp podcast, Quincy Larson (freeCodeCamp's founder) interviewed Adam and Jerod in the ultimate Backstage episode to celebrate a decade of conversations, news, and community here at Changelog. Yes, this month we turn 10 years old! We go deep into our origin stories, our history as a company, becoming and being a leader, the backstory of our branding, our music from Breakmaster Cylinder, and where we might be heading in the future.

Managing our mental health (Brain Science #5)
Mireille and Adam discuss key aspects of mental health and what it looks like to manage our own mental well-being. What are the key ingredients to managing it? How do our relationships and boundaries impact it? Are sleep, food, and activity really that important? We talk through these questions and more to better understand mental health and the ways in which we contribute to our well being.

Intelligent systems and knowledge graphs (Practical AI #65)
There's a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods.

Five years of freeCodeCamp (Changelog Interviews #369)
Today we have a very special show for you – we're talking with Quincy Larson the founder of freeCodeCamp as part of a two-part companion podcast series where we each celebrate our 5 and 10 year anniversaries. This year marks 5 years for freeCodeCamp and 10 years for us here at Changelog. So make sure you check out the freeCodeCamp podcast next week when Quincy ships our episode to their feed. But, on today's episode we catch up with Quincy on all things freeCodeCamp.

Component libraries, style guides, design systems... OH MY (JS Party #102)
Design systems are taking the tech industry by storm, but what exactly are they? Do you even need one? This week we're talking all things design systems. We'll chat about component libraries and style guides, companies who are building design systems, and more!

To GraphQL or not to GraphQL? (Backstage #8)
Go Time panelist Mat Ryer joins Jerod to talk through the pros and cons of GraphQL vs REST for a future Changelog API. There's also a fair bit of language chat around Go and JavaScript, a section on Machine Learning, and some inside baseball on where Go Time is heading.

Code editors and language servers (Go Time #106)
In this episode we talk with Ramya Rao about code editors and language servers. We share our thoughts on which editor we use, why we use it, and why we'd switch. We also discuss what a language server is and why it matters in connecting editors and the languages they support. We also dive into various ways to be effective with VS Code including shortcuts, plugins, and more.

Robot hands solving Rubik's cubes (Practical AI #64)
Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik's cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI's blog. We dig into all of this in on today's Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning. !robot hand

Finding collaborators for open source (Changelog Interviews #368)
Jeff Meyerson, host of Software Engineering Daily, and the founder of FindCollabs (a place to find collaborators for open source software) joined the show to talk about living in San Francisco, his thoughts on podcasting and where the medium is heading, getting through large scale market changes. We talk at length about his new project FindCollabs, the difficulty of reliably finding people to collaborate with, the importance of reputation and ratings systems, and his invite to this audience to check out what he’s doing and get involved.

Should we rebrand JavaScript? (JS Party #101)
We're back with another #YepNope episode, this time debating whether or not JavaScript needs to be rebranded. This premise was inspired by Kieran Potts' article of the same name. Divya/Jerod represent Team Yep and Chris/KBall represent Team Nope. Nick, as always, represents Team Type Script 😜

Open source data labeling tools (Practical AI #63)
What's the most practical of practical AI things? Data labeling of course! It's also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.

11 awesome lightning chats ⚡️ (JS Party #100)
What you're about to hear is a series of lightning chats recorded live from All Things Open 2019. How's this for topic diversity? 👇 A/B testing, finding your tribe, dancing, TikTok, what is happening with front-ends becoming full-stacks, Code the Dream, OSI approved licenses, breaking in to tech, a11y, hiring juniors, whiteboard interviews, better interview practices, JPGs, coding bootcamps, tech re-entry programs, and more.

Kubernetes and Cloud Native (Go Time #105)
Johnny and Mat are joined by Kris Nova and Joe Beda to talk about Kubernetes and Cloud Native. They discuss the rise of "Cloud Native" applications as facilitated by Kubernetes, good places to use Kubernetes, the challenges faced running such a big open source project, Kubernetes' extensibility, and how Kubernetes fits into the larger Cloud Native world.

Back to Agile's basics (Changelog Interviews #367)
Robert C. Martin, aka Uncle Bob, joined the show to talk about the practices of Agile. Bob has written a series of books in order to pass down the wisdom he's gained over his 50 year software career — books like Clean Architecture, Clean Code, The Clean Coder, The Software Craftsman, and finally Clean Agile — which is the focus of today's discussion. We cover the origins of his “Uncle Bob” nickname, the Agile Manifesto, why Agile is best suited for developing software, how it applies today, communication patterns for teams, co-location vs distributed, and more importantly Bob shares his "why" for writing this book.

It's time to talk time series (Practical AI #62)
Times series data is everywhere! I mean, seriously, try to think of some data that isn't a time series. You have stock prices and weather data, which are the classics, but you also have a time series of images on your phone, time series log data coming off of your servers, and much more. In this episode, Anais from InfluxData helps us understand the range of methods and problems related to time series data. She also gives her perspective on when statistical methods might perform better than neural nets or at least be a more reasonable choice. !time series

There’s no server more secure than one that doesn’t exist (JS Party #99)
KBall catches up with Phil Hawksworth of Netlify at JAMStackConfSF to dive deep into JAMStack, what it's about, where the ecosystem is going, and what is still hard.

Building search tools in Go (Go Time #104)
Johnny is joined by Marty Schoch, creator of the full-text search and indexing engine Bleve, to talk about the art and science of building capable search tools in Go. You get a mix of deep technical considerations as well as some of the challenges around running a popular open source project.

Coping skills and strategies (Brain Science #4)
Mireille and Adam discuss coping skills and strategies to use when managing the emotions and struggles of everyday life. We talk through some common ways people manage their emotions, strategies for emotional coping, as well as problem solving coping.

AI in the browser (Practical AI #61)
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

And... the website is down 😱 (JS Party #98)
Jerod, Divya, & Suz get together to discuss top-level `await`, the JS13kGames winner, Liran Tal's `is-website-vulnerable`, Vue 3's source code, and Facebook's take on AR/VR/XR. Plus 3 awesome pro tips you don't want to miss!

Pioneering open source drones and robocars (Changelog Interviews #366)
Chris Anderson, former Editor-in-Chief of WIRED and a true pioneer in the world of drones, joined the show to talk about his hobby gone wrong, how he started 3D Robotics, DIY Drones, and Dronecode. We also talked about his newest passion, DIY Robocars.

All about caching (Go Time #103)
Manish Jain and Karl McGuire of Dgraph join Johnny and Jon to discuss caching in Go. What are caches, hit rates, admission policies, and why do they matter? How can you get started using a cache in your applications?