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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
  • How is AI shaping democracy?
    Jan 27 2026

    As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.

    Featuring:

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

    Links:

    • Schneier on Security

    Sponsors:

    • Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAI
    • Zapier - The AI orchestration platform that puts AI to work across your company. Check it out at zapier.com/practical

    Upcoming Events:

    • Register for upcoming webinars here!
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    48 mins
  • Controlling AI Models from the Inside
    Jan 20 2026

    As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems.

    Featuring:

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

    Upcoming Events:

    • Register for upcoming webinars here!
    Show More Show Less
    44 mins
  • 2025 was the year of agents, what's coming in 2026?
    Jan 9 2026

    In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.

    Featuring:

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

    Sponsor:

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

    Upcoming Events:

    • Register for upcoming webinars here!
    Show More Show Less
    51 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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