Practical AI

@practicalai.bsky.social

One of the world’s most popular and longest running podcasts on artificial intelligence. We make artificial intelligence practical, productive, and accessible to everyone. https://practicalai.show

AI is moving beyond the cloud and into robots, vehicles, and other physical systems. Ming-Yu Liu, VP of Cosmos Lab at @NVIDIAAI, joins us to discuss open models, world models, simulation, and what’s next for physical AI. 🎧 Listen/Watch: [link below]

⚙️AI agents are moving into the enterprise. Nick Kuhn from VMware Tanzu Platform joins us to discuss deploying agents alongside traditional applications, and what platform engineering can teach us about security, identity, scalability, and reliability. 🔗Listen/watch here: [link below]

🔎Search is changing. We talk with Liam Dunne and Ben Moore of Discovered Labs about AI search, visibility, query fan-out, Reddit strategy, citations, consensus, and what happens when LLMs generate answers. Plus: when AI agents go from discovery to action. 🔗Listen/watch: [link below]

🤖 What happens when AI agents can use computers, interact with software, and take action for us? Demetrios Brinkmann joins us to dig into computer-use agents, MCP, agent harnesses, agent-to-agent interactions, and the future of agentic commerce. 🎧 Listen/Watch: [link below]

Episode 370: Less about Models; More about Architecture --- In this episode, we talk with Chetan Gupta, Chief AI Officer at Rackspace, about industrial and physical AI, enterprise AI architecture, model deployment, and AI sovereignty. 🔗Watch/Listen: [link below] #AI

🧪August Recap: What does it take to move from experimenting with AI to actually building with it? That was the thread running through our Practical AI episodes in August. Three episodes. Three perspectives. One evolving AI landscape.

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Episode 369: Building the Foundation for the Agentic AI Era --- Angie Jones, VP of the Agentic AI Foundation, joins us to discuss MCP, Goose, open standards, and the evolving role of humans in an #agentic world. ➡️Watch/ Listen: [link below]

Episode 368: AI Proficiency: From Users to Builders --- 🤔 What does AI proficiency actually look like across an organization? In this episode, Mike Lewis, Chief AI Architect at TiER1 Performance, joins us to explore AI proficiency through the L0–L3 framework. 🔗Watch/Listen: [link below] #AI

Practical AI has had an exciting few months. 🎉 New logo. New theme music. And now we're available on YouTube! The look has changed, but our mission hasn't: thoughtful, practical AI conversations. Tune in on YouTube, Spotify, Apple Podcasts, and more: practicalai.show

Practical AI

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engag...

practicalai.show

Episode 367: Models, Harnesses, and Multi-Agent Systems --- Feeling like everyone is talking about AI agents, agent harnesses, MCPs, and multi-agent systems, but you're not sure what they actually mean? This week's episode is the primer you've been waiting for. 🎥/🎧Watch or listen: [Link below] #AI

Episode 365: Surviving the New Economics of a Post-Agentic World --- We explore what happens when: • #AIagents manage other agents • Digital labor becomes abundant • Entire organizations operate at a scale no human workforce could match 🎧 Watch/Listen: [Link below] #AI

Episode 364: The Future of AI Infrastructure with CoreWeave --- Corey Sanders, joins us to discuss AI-native infrastructure, GPUs, training vs. inference, agentic development, and why the future of software will be built around AI-first experiences. Watch/listen here👇 [Link below] #AI

Episode 363: Building Durable AI Agents --- Hamza Tahir from ZenML explains how MLOps principles are shaping genAI, from workflows and agent harnesses to agent fleets. We also discuss open source tools, production challenges ZenML's new project, Kitaru. Watch/listen here👇 [Link below] #AI

June Recap: Three episodes. One recurring theme: building AI we can actually trust. Here's what we explored in June on the podcast. If you missed any of these episodes, now's a great time to catch up. 🧵👇

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🛠️May Recap: This month on Practical AI: open vs. closed AI, AI governance, self-improving agents, and enterprise AI infrastructure. If you missed an episode, now’s the perfect time to catch up!🧵👇

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Episode 357: Hermes Agent: Agents that grow with you --- ⚙️Open Source AI is entering an era of self-improving Agents. Jeffrey Quesnelle from Nous Research joins us to discuss Hermes Agent, model vs. harness architectures, and what remains uniquely human as AI accelerates. #AI practicalai.show/357

Episode 355: The Myth of Model Wars: Open vs Closed AI in 2026 --- Do open vs. closed models still matter? This week’s episode dives into: • Physical AI & edge devices • Beyond model wars • Rise of agentic systems Featuring thoughts on LLaMA and where AI is heading. #AI practicalai.show/355