We’re talking with Sherol Chen, a machine learning developer, about AI at Google and AutoML methods. Sherol explains how the various AI groups within Google work together and how AutoML fits into that puzzle. She also explains how to get started with AutoML step-by-step (this is “practical” AI after all).
In this episode we talk about launching Dagger with all four founders: Andrea, Eric, Sam & Solomon.
While you may remember Sam & Solomon from episode 23, this time we assembled all four superheroes in this story and went deeper, covering nearly three years of refinements, the launch, as well as the world-class team & community that is coming together to solve the next problem of shipping software. Container images and Kubernetes are great steps in the right direction, but now it’s time for the next leap into the future.
You can use Dagger to run your CI/CD pipelines locally, without needing to commit and push. You can also use Dagger as a Makefile alternative, which resonates with Gerhard, but go further and your perspective on documentation & automation may start shifting.
Gerhard believes that this is the Docker moment of CI/CD.
The gang officially welcomes Amal Hussein as a panelist! After that it’s Pro Tip Time, then we finish up by attempting to demistify CSS Sweeper and the Space Toggle Trick.
Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums:
Dmitri Shuralyov joined the show to talk about being a full time contributor to open source, developing developer tools, and other interesting Go projects and news.
Panelists Nick Nisi, Suz Hinton, and Kevin Ball chat about the perceived Great Divide in front end development, why 2019 is the year of TypeScript, and shout outs to inspirational members of the community.
This week we are talking to Robin Morero, the person behind fabled.se, a DevOps consultancy from Gothenburg, Sweden. Their motto is “move faster and prosper”, which Gerhard prefers to the initial “move fast and break things”.
Fabled works with startups primarily, and after 26 years, Robin has a few interesting insights to share. What do you think, are haunted codebases real? At what point do pull requests become harmful? What about k3s running on KVM as a simple starting point for production? If this reminds you of #7, and the follow-up YouTube stream with Lars, it’s no coincidence.
In this finale episode of Request For Commits – we regroup to discuss how we got here, lessons learned, community impact, and where the conversations around open source sustainability are taking place now and in the future. This might be the end of this podcast, but the conversation will continue on The Changelog. You should subscribe if you’re not already.
Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets.
Panelist Jerod Santo and first-time panelist Adam Stacoviak talk with Adam Wathan of Full Stack Radio fame about his CSS utility library called Tailwind CSS that’s growing in popularity to rapidly build custom user interfaces.
Suz, Feross, and Emma have an honest conversation about burnout. They ask questions like — How do developers deal with burnout? What is burnout? What are examples of burnout in open source? Plus they close the show by sharing tips for avoiding burnout and also how to manage burnout if/when it happens.
Thorsten Ball joined the show to talk about creating a programming language, writing an interpreter, why he wrote the book “Writing An Interpreter in Go”, how writing a language/interpreter will help you better understand other programming languages, building a computer from Nand to Tetris, and his thoughts on imposter syndrome.
Daniel and Chris do a deep dive into The AI Index 2019 Annual Report, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence.
DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called Trains. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.
Emma, Divya, and Suz are joined by Quincy Larson from freeCodeCamp where they chat about virtual conferences. Are they better than in-person conferences? What are the differences? Let’s find out!
Kavya Joshi joined the show to talk about shipping production-grade Go, writing firmware with Go, making complex technical concepts accessible, and other interesting Go projects and news.
KBall, Jerod, and Divya dig deep into how we learn. We look into how to choose what to learn, techniques for learning, and a set of respective resources.
A brief announcement about the upcoming All Things Open conference in Raleigh, NC. What we’ll be doing there, why you should join us, and how to win a FREE 🎟️ to the event.
With the jumping off point of KBall’s question: “What are best practices for organizing a Node project?” Mikeal and Feross drop an incredible amount of wisdom about Node, organizing using modules, release management, deployment approaches, how to adopt change, and more.
Alexander Neumann joined the show to talk about using Go to write backup software, solving tough problems like deduplication, scratching your own itch, and other interesting Go projects and news.
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 😜
Adam and Jerod jumped in as hosts for an experiment in quantum podcasting, letting Erik and Brian play guests to talk about Virtual Kubelet, building OSS at Microsoft, BBQ (of course), and other interesting projects and news.
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!
Carmen Andoh joined the show and talked with us about inclusivity, the 2017 Go Developer Survey, visualizing abstractions, and other interesting projects and news.
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.
Ben Johnson, the creator of Litestream, joined Fly.io a few weeks after we migrated changelog.com - episode 50 has all the details. That was pure coincidence. What was not a coincidence, is Gerhard jumping at the opportunity to talk to Ben about Postgres vs SQLite with Litestream.
The prospect of running a cluster of our app instances spread across all regions, with local SQLite & Litestream replication, is mind boggling. Let’s find out from Ben what will it take to get there. Thanks Kürt for kicking off this dream.
Adam Jacob remains optimistic about the future for infrastructure and is building new ideas to make it better.
In today’s episode, we have the pleasure of two guests: Whitney Lee, Staff Technical Advocate at VMware, the one behind the ⚡️ Enlightning episodes, and Mauricio Salatino, which you already know from 🎧 shipit.show/41 on Continuous Delivery for Kubernetes.
The two of them gave the most amazing KubeCon NA Keynote last month: What a RUSH! Let’s Deploy Straight to Production!
So how do we create an Internal Development Platform that enables anyone on the team to deploy straight to production with the confidence that everything will just work?
Mireille and Adam explore the habit loop, the role of environment as a cue, behavior change, the role of dopamine, willpower as a finite resource, and the impact of social influences on habits.
As with any change, we need to collect data. Instead of trying to change a habit right away, treat yourself like a scientist in a data gathering stage and experiment with different rewards to better understand your habit loops. Making and breaking a habit is different for everyone.
Hilary Mason is building a new way for kids and families to create stories with AI. It’s called Hidden Door, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena.
Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss this episode packed with hard-won wisdom!
