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biweekly
평균 오디오 길이:
41 minutes
영어
미국
에피소드 16 개
2026년 1월 30일부터
episodic

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AI agents can consume more information than ever. That doesn't mean they understand your data. For the Season 1 finale of Domesticating AI, we're joined by Joe Reis, co-author of Fundamentals of Data Engineering, for a conversation that went somewhere completely different than we planned. We start …

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Your side project starts on the free tier. Then it gets interesting. This week, Tod from Catalyst Community joins us to talk about why the homelab is one of the best places to build open-source software, experiment with AI, and learn the infrastructure underneath the tools we use every day. We get …
Everyone has a list of open-source AI projects they want to try. But installing repos is not the same as building a stack. Ryan Russon joins Miriah, Matt, and Chris to talk through the projects that actually teach you how AI homelabs work: Unsloth for training, Ollama and llama.cpp for local infere…
What happens when the cost of running AI is no longer hidden behind a cloud bill—but something you can physically feel? In this episode of Domesticating AI, Kat Tomanek and Alex Kauffman of Squeez Labs introduce CrankGPT, a fully offline voice assistant that runs on a Raspberry Pi and is powered by…
Everyone seems to be hiring AI engineers—but what does that actually mean? Using Claude Code, Cursor, or ChatGPT doesn't automatically make someone an AI engineer. So where's the line between software engineering with AI and engineering AI systems? This week we're joined by Byron McKay, Director of…
At a recent meetup, a room of about 55 people was asked: do you know every line of code you shipped to production? One person raised their hand: Chris. That moment became the center of this episode. Not because AI-assisted coding is bad, but because it exposes the real risk: developers are starting…
Everyone is building AI agents. OpenAI SDKs, Claude Code, Deep Agent systems, custom workflows, and orchestration frameworks all promise more autonomous AI. But as these systems become more capable, they start running into familiar engineering problems: retries state management orchestration conte…
AI is easy to use — but hard to scale. In this episode of Domesticating AI, we’re joined by Daniel Dowler (Red Hat) to break down what actually happens when you move from calling APIs to running AI systems yourself. Recorded on April 21st Most developers interact with AI through APIs — fast, simple…
Recorded: April 14, 2026 Most people using AI today are still users. They open ChatGPT, call an API, and get an answer. And honestly… it works. But that’s not the same as building with AI. In this episode of Domesticating AI, we break down the difference between AI users and AI practitioners—and wh…
Hosts: Miriah Peterson, Matt Sharp, Chris BrousseauRecorded: April 2026Status: Released Most AI systems today are designed to be helpful — not secure. In this episode, we break down how AI systems actually get exploited in production: a real supply chain attack on a widely used AI dependency promp…
면책 조항: 이 페이지에 포함된 팟캐스트와 작품은 SoyPete Tech에서 가져온 것입니다. 이 팟캐스트는 소유자의 재산이며 Listen Notes, Inc.와 제휴하거나 보증하지 않습니다.