Kent and our panelists dive deep on the hottest new React framework: Remix. What it does today, what makes it special, how it lured Kent away from a lucrative independent teaching career, and what’s coming up next.
Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.
We’re back with another spicy YepNope debate! This time, Amelia and KBall are arguing that there’s real value to (continue) using React in 2022, while Amal and special guest (and author of the post which stemmed the whole debate) Josh Collinsworth argue that React’s time leading innovation has passed. Of course, the stance each panelist is taking is assigned ahead of time. Is that how they really feel? Tune in and find out!
It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.
KBall, Ali & Nick explore a new type of segment: “WTFJS” talking about wild and wooly “it’s not a bug it’s a feature” examples in the JavaScript language. They also dive into code maintainability, and end by discussing the whiplash shift in the tech industry from “hottest market for engineers in history” to “oh noes everything is stopping!”
What is a Product Manager, and do Engineers need them? In this episode, we will be discussing what a Product Manager does, what makes a good Product Manager, and debating if engineering teams truly need them, with some tech companies going without them. We are joined by Gaëlle Sharma, Senior Technical Product Manager, at the New York Times, leading the Identity group.
We drop our fourth Changelog Beats album, Dex Horthy proposes the 12-factor AI agent, Thorsten Ball takes us step-by-step through building a coding agent, Zachary Huang builds an LLM framework in 100 lines of code & Philip Laine’s Spegel project gets unknowingly forked by Microsoft.
Mat Ryer returns with his guitar, an unpopular opinion & his favorite internet virus.
Return guests Ben Johnson & Chris James join Mat & Kris to talk about the files and folders of your Go projects, big and small. Does the holy grail exist, of the perfect structure to rule them all? Or are we doomed to be figuring this out for the rest of our lives?
Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.
Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you!
When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments.
Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!
Mark Nadal joined the show to talk about his hacker story and his venture backed open source datastore project called GunDB — a realtime, decentralized, offline-first, graph database engine. We talked about the details behind this database, how Mark secured funding, why yet another datastore, who’s using the database, how Mark plans to sustain this project through products and services, his thoughts on the RethinkDB postmortem and more.
AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI.
Ashley Willis and Ela Krief join Natalie to discuss the ins and outs of management. They discuss what makes a good manager, common mistakes managers make, how to communicate effectively, dealing with conflict, and much more.
There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.
Richard Moot joins us to discuss Changelog helping Square launch a developer pod and the excitement around MCP (Model Context Protocol) servers. What might it foretell about the future of human/robot relations?
Kent C. Dodds joined the show to talk about guiding and supporting first time contributors to open source. We talked about the many ways to be first-timer friendly, how to contribute to open source, the burden and balance of a maintainer, and a few of the projects Kent maintains, including his latest project at PayPal called Glamourous.
Ever wonder how new features get added to the go command? Or where tools like gopls come from? Well, there’s an open team that handles just those things.
Just like the programming language itself, many of the tools that Go engineers use everyday are discussed and developed in the open. In this episode we’ll talk about this team, how it started, where it’s going, and how you can get involved.
Here’s a bonus episode this week from our friends behind Me, Myself, and AI — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast.
We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large.
Join us on a journey to make believe worlds with our good friend Mat Ryer. The assignment; we each get to make up a new world where we invent a new gadget and declare a new rule. This episode is sure to delight loyal fans and especially those who enjoy Mat Ryer on the show and a good/bad song or two.
In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie).
Puter puts an entire operating system in your web browser, the kapa.ai team write down how to structure your docs for LLMs, Daytona is an open source Codespaces alternative, Gleam v1.0 has been released & Rolldown is a JavaScript bundler written in Rust.
Jerod is joined by Carson Gross, the creator of htmx –a small, zero-dependency JavaScript library that he says, “completes HTML as a hypertext”. Carson built it because he’s big on hypermedia, he even wrote a book called Hypermedia Systems. Carson has a lot of strong opinions weakly held that we dive into in this conversation.
Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop.
Which is smarter: specializing in a particular tech or becoming more of a generalist? It depends! Which is why Jerod invited “undercover generalist” Adolfo OchagavĂa on our “It Depends” series to weigh the pros & cons of each path.
The San Fransisco Standard published some sobering news for new graduates, the Forge team decided to put an AI agent in your shell, Fernando Borretti says you can choose tools that make you happy, Jujutsu’s flexibility and safety changed Nathan Witmer’s approach to version control, Anil Dash is as excited about MCP as almost everyone else is & Alex Kladov shares two rules of thumb around pushing “ifs” up and “fors” down.
What happens when you take four grizzled #define veterans and throw an Emma Bostian into the mix? Find out on this episode because our award-worthy game of fake definitions is back and this time it’s even better!
We’re celebrating our 200th episode with a crazy game of Gophers Say! Mat Ryer hosts two epic teams including Go Time OGs Carlisia, Erik, and Brian!
