Changelog Master Feed

Adam Argyle joins Amelia and Nick to catch them up on all the goings on within the world of CSS colors. There are a lot more options than you’d expect if you haven’t been keeping up, and Adam’s here to help you avoid the “gray dead zone”!

Go conferences are not as diverse as we’d like them to be. There are initiatives in place to improve this situation. Among other roles, Ronna Steinberg is the Head of Diversity at GopherCon Europe. In this episode we’ll learn more about the goal, the process and the problems, and how can each one of us help make this better.

This week Adam talks with Andy Klein from Backblaze about hard drive reliability at scale.

With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.

The dataset wars are heating up, Bark is a transformer-based text-to-audio model that can generate highly realistic, multilingual speech as well as other audio, Kent Beck needs to recalibrate after using ChatGPT, the team behind Stable Diffusion release a new open source language model & Mitchel Hashimoto weighs in on prompt engineering.

Feross and his team at Socket recently shipped a wrapper library for the ubiquitous npm package manager’s command-line interface that brings enhanced security when you need it most: before executing any code Bradly Farias lead this effort, so Jerod & Chris invited him on the show to learn all about it.

This week Adam is joined by Alex Gallego, Founder & CEO at Redpanda Data, to share his builder journey to create the Redpanda streaming data platform.

Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast. Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.

This week we’re joined by Zach Latta, the Founder of Hack Club. At 16, Zach tested out of high school and moved to SF to join Yo as their first engineer. After playing a key role at Yo, he founded Hack Club to help teen hackers start coding clubs around the world. Today, teen hackers can meet IRL, online, at a hackathon, or leverage Hack Club Bank a fiscal sponsor to create their own organization. Hack Club is the program Zach wished he had in high school.

Kara Deloss announces GitHub Accelerator’s 2023 cohort, Databricks releases the first open source, instruction-following LLM, fine-tuned on a human-generated instruction dataset licensed for research and commercial use, Mihai Parparita writes how he improved Tailscale thanks to Apple’s open source & Neal Fennimore asks and answers the question: Passkeys: what the heck and why?!

The panel dives into a topic that makes most software developers cringe: Professional networking. Starting with a definition - what does it even mean? - they go into hacks they’ve found for getting more comfortable with networking, building your network in person or online, and then using your network to find new job opportunities or consulting work.

This week we’re talking with Cory Doctorow (this episode contains explicit language) about his newest book Chokepoint Capitalism, which he co-autored with Rebecca Giblin. Chokepoint Capitalism is about how big tech and big content have captured creative labor markets and the ways we can win them back. We talk about chokepoints creating chickenized reverse-centaurs, paying for your robot boss (think Uber, Doordash, Amazon Drivers), the chickenization that’s climbing the priviledge gradient from the most blue collar workers to the middle-class. There are chokepoints in open source, AI generative art, interoperability, music, film, and media. To quote Cory, “We’re all fighting the same fight.”

Matthew Boyle, the author of Domain-Driven Design with Golang, sits down with Jon & Mat to talk about (you guessed it!) DDD with Go.

What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”

Ken Thompson’s 75-year-project is a jukebox for the ages, Tabby is a self-hosted AI coding assistant, Codeberg is a collaboration platform and Git hosting for open source software, content and projects, TheSequence explains The LLama Effect & Paul Orlando writes about Ghosts, Guilds and Generative AI.

This week we’re talking about LLMs with Simon Willison. We can not avoid this topic. Last time it was Stable Diffusion breaking the internet. This time it’s LLMs breaking the internet. Large Language Models, ChatGPT, Bard, Claude, Bing, GitHub Copilot X, Cody…we cover it all.

Grab a comfy seat and a hot cup of joe, because it’s time for some coffee talk with Nick & KBall! Special guest Thomas Eckert joins the party and brings a bunch of questions for us to discuss. Who wins in a fist fight: Tailwind CSS people or “real” CSS people? Is Agile overrated? What’s the longest bug you’ve ever chased? How about some underrated libraries/packages that people should know about? And more!

Mat & Johnny interview everyone’s favorite LLM (Natalie with a special hat on) to see if it’d make a good hire as a Go dev. Also, Mat tries to turn it into his very own creepy robot by asking personal questions about his co-hosts. Things get weird. In a good way?

Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle can positively impact a data scientist’s skill and career aspirations. He also shared some of his insights and approach to maximizing AI productivity uses GPU-accelerated tools like RAPIDS and DALI.

Twitter publishes (some of) its recommendation algorithm, Toran Bruce Richards puts GPT-4 on autopilot, Simon Willison shares a good way for us to think about LLMs, Eric Elliot creates a powerful pseudocode programming language for LLMs & I define and demystify the term “stochastic parrot”.