The panelists discuss their thoughts on career progression while sharing some of their own history. They also talk about important considerations to think about when deciding where to go next, and share useful resources.

A community Q&A special. You asked the questions, and we discussed them live on air. A few example questions include “When is it okay to use init?”, “When should we use constructors?”, and “How should Go code be structured?”

When you lack clarity or have uncertainty for a direction or goal, it’s going to be difficult to succeed in your actions. Today Mireille and Adam discuss the topic of clear communication and expectation, two of the most important ingredients of success. How do we create better clarity? Like so many things — clarity begins with awareness, and awareness of yourself. You have to know what you want and what you value in life. We must assume 100% responsibility for creating our own clarity in our lives. After all, “if you don’t have clarity, you are operating from assumption.”

So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.

We’re joined by Simon Eskildsen, Principal Engineer at Shopify, talking about how he uses a concept called napkin math where you use first-principle thinking to estimate systems without writing any code. By the end of the show we were estimating pretty much everything using napkin math.

Ahmad Nassri returns to the party for a deep, nuanced discussion around the thoughts he shared in a recent blog post called Solving Solved Problems. We hear about the common issue Ahmad’s seen at software shops of all sizes, learn the anatomy of the total cost of software ownership, and debate what to build and what to buy.

This episode is different than what you’re used to. We’ve been clipping highlights of the show for awhile now to share on Twitter and YouTube. A side effect of that effort is a bunch of awesome clips just sitting on Jerod’s hard drive collecting digital dust. So, here’s a beta test of a “best of” style clips show covering the summer months. Let us know if you like it!

Conflict is a part of everyday life. If you are connected to other humans, conflict will eventually occur. But what exactly is conflict? Where does it begin? How can it be resolved? In this episode, Mireille and Adam dive deep into those details to examine the framework of conflict end-to-end, to hopefully equip us with the tactics and skills we need to better navigate and resolve the conflict we encounter in our lives.

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.

Earlier this year on February 2nd, 2020 Jon Evans and his team of archivists took a snapshot of all active public repositories on GitHub and sent it to a decommissioned coal mine in the Svalbard archipelago where it will be stored for the next 1,000 years.

On this episode, Jon chats with Jerod all about the GitHub Archive Program and how they’re preserving open source software for future generations.

We kick off with some exciting TypeScript news, follow that with some exciting JavaScript news, then finish off with an exciting interview. Key word: EXCITING

A deep dive on Fuzzing and a close look at the official Fuzzing proposal for Go.

Waymo’s mission is to make it safe and easy for people and things to get where they’re going.
After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. Starting with Waymo’s approach to autonomous driving, Drago then delights Daniel and Chris with a tour of the algorithmic tools in the autonomy toolbox.

In this episode, we dive into the role of communication as a developer, how clarity is driving impact and how to self publish as an independent writer. Join us, as we chat with Stephanie Morillo author of The Developers Guide to Content Creation about how to write better as developer and how writing can take you from good developer to great.

Building desktop applications is tricky. Every OS has its own set of tools, and you often need to learn a new language for each. In this episode we talk with Wails creator Lea Anthony about how the build tool enables developers to create desktop apps using Go and their normal JS frontend (React, Vue, Anguluar, or whatever you want).

Carbon is an open source web app that helps you create and share beautiful images of your source code. Whether you’ve used Carbon personally or not, odds are you’ve seen its dent on the universe of social code sharing. Mike Fix has been maintaining Carbon for a few years and he’s embraced the project as an opportunity to experiment and practice working in public.

On this Maintainer Spotlight episode, we chat with Mike about building Carbon, growing its community, sustainability models, and why he loves the world of open source.

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!

KBall MCs as Jordan tells us about exciting JavaScript updates that are on the way, Amal takes us all to school digging into the details, and Emma makes a surprise on-air proposal.

We’re so excited to see Chris and Daniel take this show to 100 episodes, and that’s exactly why we’re rebroadcasting Practical AI #100 here on The Changelog. They’ve had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and I joined the first episode to help kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (GIVEAWAY!)

Francesc Campoy and Isobel Redelmeier joins the panel to discuss Go’s context package including real-world insights into its use and misuse.

Distractions will always exist – managing them is our responsibility. We often talk about the need for new information in order to change the old patterns of our brain. One of the best ways we can do this is through reading good books. In this episode, Mireille and Adam discuss the highlights of Nir Eyal’s book, Indistractible – how to control your attention and choose your life. In his book, Nir highlights this clear connection between people’s distraction and its relationship to psychological discomfort, otherwise known as pain. He says, “all behaviors, whether they tend toward traction or distraction are prompted by triggers, internal or external. When we learn how to recognize these “triggers,” there is opportunity for change. And changing in the direction that you desire, as based on what you value, is key to having the life you want to live.

Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us to discuss that and much more. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation.

Node.js development began a bit like the Wild West, but over time idioms, anti-patterns, and best practices have emerged. Yoni Goldberg’s Node Best Practices repo on GitHub collects, documents, and explains the best practices for Node developers. On this episode, Yoni joins us to discuss.

Infra, Devops, Systems Engineer, SRE, and the list goes on and on. What do these terms mean? Why does every job listing for the same role seem to entail different responsibiliities? Why is it important for developers to be familiar with the infrastructure their code is running on? Tune in to gain some insights into all of this and more!

Nadia Eghbal is back and this time she’s talking with us about her new book Working in Public. If you’re an old school listener you might remember the podcast we produced with Nadia and Mikeal Rogers called Request for Commits. If you weren’t listening then, or can’t remember…don’t worry…the back catalog of Request for Commits is still online and subscribe-able via all the podcast ways. That podcast is still getting listens to this very day!

Obviously we go way back with Nadia…and having a chance to now talk with her through all the details of her new book Working in Public, this was a milestone for this show and Jerod and I. We talked through the reasons she wrote the book in the first place, Nadia’s thoughts on the future of the internet and the connection of creators to the platforms they build their followings on, and we also talk about the health of projects and communities and the challenges we face internet-at-large as well as right here in our backyard in the open source community.

We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and Adam from The Changelog helped us kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (GIVEAWAY!)

We’re talking about designing and building HEY with Jonas Downey, the lead designer behind HEY. In their words, “Email sucked for years, but not anymore.” We were super interested in how they went about solving the problems with email, so we invited Jonas on to share all the details and a behind-the-scenes look at the making of HEY.

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.

JSON (JavaScript Object Notation) is used all over the web as a text-based way of transmitting data. In this episode, we explore Go’s encoding/json package, and others with Daniel Marti.

Have you heard the phrase, “Put yourself in their shoes?” In this episode, the conversation focuses on the “HOW” and why it all begins with empathy. Empathy is the key that enables access to another person’s perspective and emotional state. It is also a fundamental aspect of building and sustaining relationships with others. The fascinating thing is that there are 3 types of empathy: cognitive, social, and empathic concern. Plus there’s a counterpart component called compassion that moves us to take action.