• 46 minutes 39 seconds
    Building Durable AI Agents

    What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems.  The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems.

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    • Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai

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    9 July 2026, 9:00 am
  • 48 minutes 21 seconds
    Image Generation and Visual Intelligence with Black Forest Labs

    How has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next. 

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    • Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets
    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

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    2 July 2026, 9:00 am
  • 45 minutes 8 seconds
    AIUC-1: Building trust in AI agents

    How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption.

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    25 June 2026, 9:00 am
  • 47 minutes 2 seconds
    Zero Trust for AI Agents

    As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents.

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    11 June 2026, 9:00 am
  • 47 minutes 13 seconds
    Breaking down the 2026 Stanford AI Index Report

    AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. 

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    4 June 2026, 9:00 am
  • 48 minutes 9 seconds
    Rebooting Enterprise AI with MCP and Kubernetes

    What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.

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    28 May 2026, 9:00 am
  • 51 minutes 42 seconds
    Hermes Agent: Agents that grow with you

    Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate?

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    21 May 2026, 9:00 am
  • 45 minutes 5 seconds
    U.S. Congressman Beyer on AI challenges facing America and the World

    U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world.  Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself.  Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate.  This is an unusual and insightful conversation you don't want to miss!

    Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024:
    AI in the U.S. Congress

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    14 May 2026, 9:00 am
  • 42 minutes 22 seconds
    The Myth of Model Wars: Open vs Closed AI in 2026

    In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model wars” are becoming irrelevant. The conversation then dives into a bigger transformation, the rise of agentic systems, workflows, and AI-driven infrastructure.

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    7 May 2026, 9:00 am
  • 45 minutes 7 seconds
    The mythos of Mythos and Allbirds takes flight to the neocloud

    In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible implications from "We've been here before. 🙄" to "See ya, cybersecurity! 😱"  It's the end of the world as we know it, and I feel fine. 🙃

    Then they have fun with the craziest AI announcement of the year (except for the Mythos one of course).  Allbirds pivots from shoe manufacturing 👟 to neocloud provider ☁️. No, we didn't see that one coming either! 🙈

    They finish with rise of “tokenmaxxing” - the gamification 🎮 of writing code with maximum LLM usage.  Incredibly profitable 💰 for commercial frontier model providers and insanely expensive 🤑 for the gamers.  Better have 10X productivity just to avoid bankruptcy! 

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    23 April 2026, 9:00 am
  • 46 minutes 4 seconds
    Open Source Self-Driving with Comma AI

    Autonomous driving is not just a big tech or closed-source game, it's becoming accessible through open innovation and real-world deployment. Dan and Chris sit down with Harald Schäfer, CTO at Comma AI, to explore how OpenPilot is bringing self-driving to everyday vehicles using open source AI. We dive into the intersection of machine learning, robotics, and simulation, including how world models are enabling training at scale and shaping the future of autonomy.

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    16 April 2026, 9:00 am
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