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Practical AI

Practical AI

Written by: Practical AI LLC
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Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!All rights reserved
Episodes
  • Breaking down the 2026 Stanford AI Index Report
    Jun 4 2026

    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.

    Featuring:

    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • The 2026 AI Index Report

    Sponsors:

    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

    Upcoming Events:

    • Register for upcoming webinars here!
    • Midwest AI Summit 2026
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    47 mins
  • Rebooting Enterprise AI with MCP and Kubernetes
    May 28 2026

    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.

    Featuring:

    • Craig McLuckie – LinkedIn
    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • Stacklok
    • Toolhive

    Sponsors:

    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

    Upcoming Events:

    • Register for upcoming webinars here!
    • Midwest AI Summit 2026
    Show More Show Less
    48 mins
  • Hermes Agent: Agents that grow with you
    May 21 2026

    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?

    Featuring:

    • Jeffrey Quesnelle – Website, LinkedIn
    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • Nous Research
    • Hermes Agent

    Sponsors:

    • Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai
    • Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

    Upcoming Events:

    • Register for upcoming webinars here!
    • Midwest AI Summit 2026
    Show More Show Less
    52 mins
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It rekindled my interest into Mathematics. loved the suggestion start with a ML use case to learn underlying math. many Thanks a ton to all 3 of you, which made it a worthwhile 30 mins!

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