Changelog Master Feed

Changelog Media
undefined
Feb 8, 2024 • 2h 7min

React Server Components 🧐 (JS Party #311)

Dan Abramov, React Server Components expert, talks about the origin story and the community response of React Server Components. He also explains the benefits of using RSCs, such as improving application performance and simplifying setup. The podcast delves into the shift from traditional server rendering to client-side approach, the use of suspense to handle loading states, and the introduction of offline-first architectures. The discussion also covers the execution stages of RSCs, their integration with data fetching, and the challenges faced in their development and adoption. Finally, the podcast explores their desire for deep first-class support for animations in React and delves into the nuances of implementing animations in React.
undefined
Feb 8, 2024 • 1h 53min

Taking on Goliath (Changelog Interviews #577)

Nadia Odunayo, founder of StoryGraph, talks about customer research, building StoryGraph, revenue generation through subscriptions and partnerships, technical challenges faced, finding the ideal investor, and the future of the internet. They also discuss migrating to Rocky Linux, the discontinuation of CentOS, and the decision to revamp the plus plan. The speaker reflects on the importance of maintaining privacy, tackling technical challenges, and their own experiences as an avid listener of audiobooks.
undefined
10 snips
Feb 7, 2024 • 1h 4min

What's new in Go 1.22 (Go Time #302)

In this podcast, the hosts discuss the changes in Go 1.22, including improvements in looping, the range fog experiment, and the use of the embed package in Go. They also talk about the drawbacks of using nullable strings in databases and express frustration with the lack of basic devices and unnecessary features in technology.
undefined
Feb 6, 2024 • 47min

Data synthesis for SOTA LLMs (Practical AI #255)

Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well. Join the discussionChangelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!Sponsors:Read Write Own – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at readwriteown.com Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. Featuring:Karan Malhotra – LinkedInChris Benson – Website, GitHub, LinkedIn, Bluesky, XDaniel Whitenack – Website, GitHub, XShow Notes: Nous on Hugging Face Nous Research Something missing or broken? PRs welcome!
undefined
Feb 5, 2024 • 9min

The promise of hackable software (Changelog News #80)

Topics include underrated browser extensions, the tension between generalizing and specializing in the tech industry, recreating the early web 2.0 experience with open data and activity pub, and connecting ideas together using knowledge graphs and tools.
undefined
Feb 4, 2024 • 1h 33min

You have how many open tabs?! (Changelog & Friends #29)

In this podcast, the hosts have conversations with Nick Nisi, Amy Dutton, and Andres Pineda. They discuss topics such as EU regulations on default browsers, limitations of open tabs on Safari, alternate rendering engines on iOS, text editor preferences, AI uprisings, domain squatting, giving away ideas, the shift from open networks to social networks, hair branding, Montreal's developer community, the concept of 'peneidax', and upcoming episodes.
undefined
Feb 2, 2024 • 1h 25min

In the beginning (of generative AI) (Changelog Interviews #576)

Data engineer specializing in generative AI, Joe Reis, discusses the role of a data engineer, AI hype cycle, ethical considerations around AI-generated content, tension between AI and traditional engineering, and the inevitability of AI integration into everything. They also explore build vs buy, disconnect between data analysts and the business, and the importance of focus and staying on track in large organizations. Additionally, they delve into the future of the internet, empowering underrepresented voices with generative AI, and the tension between AI and manual processes.
undefined
Feb 1, 2024 • 1h 7min

Angular Signals (JS Party #310)

Alex and Pavel from the Angular Signals team talk about the history and migration to signals, the new mental model, community integrations, future roadmap, and their excitement for signals in server-side rendering and NGRX integration.
undefined
Jan 31, 2024 • 59min

Go Capture the Flag! 🚩 (Go Time #301)

Neil S Primmer and Benji Vesterby join to share their experience organizing "Capture the Flag" at GopherCon 2023. They discuss the excitement of CTF events, the competitive nature of teams gathering digital flags, and the intricacies of this unique gaming experience.
undefined
Jan 30, 2024 • 48min

Large Action Models (LAMs) & Rabbits 🐇 (Practical AI #254)

The podcast discusses large action models (LAMs) and their integration with AI models and external systems. They explore the potential of Rabbit's AI OS approach as an alternative to phones and discuss the impact of AI on society. The hosts also delve into the challenges of expressing human intentions in computer systems and speculate on the future of smartphones. They end by making predictions and recommendations.

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app