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

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

🔥 April Recap: April was packed with deep dives into AI, open source, and some of the wildest shifts we’ve seen in the ecosystem. If you missed an episode, now’s the perfect time to catch up 🧵👇

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Episode 354: The mythos of Mythos and Allbirds takes flight to the neocloud --- We go from Anthropic’s Mythos model to one of the most unexpected pivots of Allbirds becoming a neocloud company, and then into “tokenmaxxing,” where devs are pushing LLM usage to the limit. #AI practicalai.fm/354

Episode 352: Post-Mortem of Anthropic's Claude Code Leak --- "Basically, if you downloaded Claude Code during like a three hour-ish time window... two things happened." We break down the Anthropic Claude Code leak, what went wrong and what it reveals about agentic systems. #AI practicalai.fm/352

🏭 Missed Practical AI in March? From the battle over computing power to how developers are coding with AI agents, and why Edge AI is a whole new operating environment, these episodes weren’t just interesting… they were a glimpse of what’s next. 🧵👇

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Episode 350: AI at the Edge is a different operating environment --- In this episode, we talk with Brandon Shibley Edge AI Solutions Engineering Lead at Edge Impulse about GenAI, cascades of models, MLOps, and real-world constraints like latency, power, and privacy. #AI practicalai.fm/350

Episode 349: Humility in the Age of Agentic Coding --- In this episode we talk with Steve Klabnik, known for his work on the Rust programming language, about his firsthand experience building Rue using tools like Claude and what it reveals about the future of coding. #AI practicalai.fm/349

⚡February was all about AI in the real world: what happens when AI becomes your coworker, your compliance risk, and your leadership challenge — all at once? Missed something? Here’s your February catch-up 🧵👇

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