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.
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.
We first launched a membership back in 2013… before they were cool! 😆 Now we’re back with a brand new edition. It’s called Changelog++ and we hope you love it. This episode of Backstage is a tell-all about the program. Why we think the timing is right, what we hope it can become, how we’re experimenting with ideas to make it great, and what you can do to get involved.
Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks!
Jeff Sheldon is the founder and creator of Ugmonk. Jeff is a designer by trade, and an entrepreneur by accident. I been following Jeff’s journey for the better part of Ugmonk’s existence. I’m also a customer. Jeff and I hold several similar values near and dear to our hearts. In addition to my appreciation for Jeff’s product design abilities, and how he leads his business, I also appreciate Jeff’s awareness and focus on the long hard path.
Kayla Cinnamon, Program Manager at Microsoft for Windows Terminal, Console, Command Line, and Cascadia Code joined us to talk about the release of Windows Terminal 1.0 and the new Windows command-line experience. We talk about everything that went into rethinking the command line experience on Windows, the UX and UI design behind it all, the learnings of working in open source, and what’s to come for the Windows command line experience.
Mikeal and Chris welcome (back) special guest Fred K. Schott, who you may recall from our episode on Pika. This time, we’re talking ESM: what it is, what’s new about it, why it’s the future, writing libraries with it, and much more.
Robert and Ian join us to talk about the latest updates on generics in Go. What type of feedback are they looking for as developers get their hands on tools designed to experiment with generics and Go? What was the deal with the featherweight Go paper that also discussed generics? Why can’t we use angle brackets for generics?
Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences.
Jerod assembles a team of WebRTC experts (Suz, Feross, Mikeal) for a deep, deep dive on this practically-ubiquitous yet still-complicated web API.
We review its history, share really cool applications using the tech, provide an excellent primer on what you need to know about it, and details some production gotchas. ALSO we celebrate how Feross single-handedly “upgraded the internet”! 🙌
The panel discuss testing frameworks in Go. After a brief overview of the concepts involved, we discuss how testing frameworks can make our lives easier, and why some people still choose to avoid them. Mat Ryer and Mark Bates chat with Boyan Soubachov about the future of the Testify project.
Adam loves a good dark theme and supporting a fellow creator, and Hedy Li finished the episode we did with Nikita Prokopov covering FiraCode and reached out saying Zeno Rocha’s work on Dracula deserved the same credit. We agreed. So we linked up with Zeno about his passion for open source, how he’s changed his mind on making money with open source, his big release of Dracula Pro and the future of Dracula, and of course his new book – 14 Habits of Highly Productive Developers. Check for a link in the show notes for details on how to get your hands on Zeno’s book for free through our giveaway.
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.
Today’s episode features our very first guest. We’re joined by Danielle Rath, a notable expert and product developer in the caffeine and energy drink industry. Danielle is the founder of GreenEyedGuide Research and Consulting where she shares science-based information about energy drinks and caffeine, and helps people and companies where fatigue and caffeine use are prevalent. In this lengthly episode, we talk through all aspects of the science behind caffeine — its chemical structure and half-life, where and how it’s being used, the good, bad, and the ugly, as well as practical advice for everyday consumption. If you consume caffeine of any sort, this is a must listen episode.
An amalgam of interest on this week’s episode starting with a peek at what’s finally coming in Vue 3. We talk about the process of change in the Vue ecosystem and what interesting features are coming either very soon or not for a while depending on how you view time right now. Then, the panelists share what they’ve learned recently, and finish off with shout outs to the projects, ideas, and people we’re appreciative of.
Your first week with a new programming language can be tricky. In this episode Jon is joined by Jacquie and DaShaun to talk about their first week with Go. What was their primary focus? What resources did they leverage? What made it stick, and what didn’t?
Dave Kerr joins Jerod to discuss the various laws, theories, principles, and patterns that we developers find useful in our work and life. We unpack Hanlon’s Razor, Gall’s Law, Murphy’s Law, Kernighan’s Law, and too many others to list here.
The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!
We’re joined again by José Valim talking about the recent acquihire of Plataformatec and what that means for the Elixir language, as well as José. We also talk about Dashbit a new 3 person company he helped form from work done while at Plataformatec to help startups and enterprises adopt and run Elixir in production. Lastly we talk about a new idea José has called Bytepack that aims to help developers package and deliver software products to developers and enterprises.
KBall, Jerod, and Nick Nisi dive into GraphQL – what it can do, what the challenges are, and how it differs from REST – all with a generous helping of metaphor about buffets, restaurants, and of course bacon.