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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
  • Open Source Self-Driving with Comma AI

    Open Source Self-Driving with Comma AI
    Apr 16 2026

    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.

    Featuring:

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

    Links:

    • Comma
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    46 mins
  • Post-Mortem of Anthropic's Claude Code Leak

    Post-Mortem of Anthropic's Claude Code Leak
    Apr 9 2026

    In this fully connected episode, Dan and Chris break down the Anthropic Claude Code leak, what went wrong and what it reveals about agentic systems, AI architecture, and AI safety. They also explore how the open source community is responding and why this moment could reshape how AI systems are built and secured.

    Featuring:

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

    Upcoming Events:

    • Register for upcoming webinars here!
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    45 mins
  • Agentic Coding and the Economics of Open Source

    Agentic Coding and the Economics of Open Source
    Apr 2 2026

    AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector.

    Featuring:

    • Miklós Koren – LinkedIn
    • Chris Benson – Website, LinkedIn, Bluesky, GitHub, X

    Links:

    • Vibe Coding Kills Open Source
    • The Directions of Technical Change
    • The Tailwind story

    Upcoming Events:

    • Register for upcoming webinars here!
    Show More Show Less
    49 mins
All stars
Most relevant
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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