Green AI 🌲 (Practical AI #124)

Mat Ryer is back and he brought his impromptu musical abilities with him! We discuss Rob Pike vs thankful AI, Microsoft's GitHub monopoly (and what it means for open source), and Tom Tunguz' 12 predictions for 2026: agent-first design, the rise of vector databases, and are we abo ...  Show more

Linus Torvalds pushes AI generated code, Jordan Fulghum thinks this is the year of self-hosting, FracturedJson formats for compact / human readability, Scott Werner believes a flood of adequate software is coming, and Sean Goedecke explains why generic software design advice is u ...  Show more

From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the applicatio ...  Show more

Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the “state of AI” at the end of 2019, and they make some predictions for 2020.Sponsors:DigitalOcean – The simplest cl ...  Show more

Daniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference.Sponsors:The Hacker Mindset – “The Hacker Mindset” written by ...  Show more

In this episode of Syntax, Wes and Scott talk about the current landscape of AI, how AI is trained, is AI going to take your job, who’s going to train AI, and adding AI to your applications. Sentry - Sponsor If you want to know what’s happening with your code, track errors and m ...  Show more