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Practical AI LLC

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!

Practical AI: Machine Learning, Data Science

As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.

Featuring:

 • Deborah Golden –
 LinkedIn • 
 • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Deloitte
Sponsor:

 • Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at 
framer.com/PRACTICALAI
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Cognitive Synthesis and Neural Athletes

AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEF CON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.

Featuring:

 • Sean McGregor– 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

AI Verification & Evaluation Research InstituteAI Incident Database38th convening of IAAIBenchRiskState of Global AI Incident Reporting
Upcoming Events: 

 • Register for 
upcoming webinars here • !

AI incidents, audits, and the limits of benchmarks

AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of Shell Game, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.

Featuring:

 • Evan Ratliff – 
LinkedIn • , 
X • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X
Links:

Shell Game
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Inside an AI-Run Company

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 • !

How is AI shaping democracy?

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 • !

Controlling AI Models from the Inside

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 • !

2025 was the year of agents, what's coming in 2026?

As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.

Featuring:

 • Jason Beutler – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Sponsor:

 • Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at 
framer.com/design • with code `PRACTICALAI` for a free month of Framer Pro.

Upcoming Events: 

 • Register for 
upcoming webinars here • !

Beyond chatbots: Agents that tackle your SOPs

Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. 

Featuring:

 • Ramin Mohammadi – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Sponsors:

 • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at 
shopify.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !

The AI engineer skills gap

Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.

Featuring:

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

 • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at 
shopify.com/practicalaiFabi.ai • - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at 
fabi.ai • Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at 
framer.com/design • with code `PRACTICALAI` for a free month of Framer Pro.

Upcoming Events: 

 • Register for 
upcoming webinars here • !

Technical advances in document understanding

This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust. Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.

Featuring: 

 • Jerod Santo – 
LinkedIn • Adam Stacoviak – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X
Sponsors: 

 • Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at 
Miro.com • .
 • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at 
shopify.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !

This week we have extended show notes below from Chris!

Swarming & Fully Autonomous Multi-Agent UxV Systems

Chris’s Definition of Swarming (anchor link in show notes)
Chris’s definition of Swarming
“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”
© 2025 Chris Benson
Conceptual Foundations

Swarm Robotics – Wikipedia
 • High-level overview of swarm robotics as decentralized robot collectives.

https://en.wikipedia.org/wiki/Swarm_roboticsSwarm Robotic Platforms – Wikipedia
 • Survey of hardware platforms used in swarm robotics research.

https://en.wikipedia.org/wiki/Swarm_robotic_platformsSwarm Intelligence – Wikipedia
 • Broader algorithms and theory behind collective intelligence (beyond robots).

https://en.wikipedia.org/wiki/Swarm_intelligenceAnt Robotics – Wikipedia
 • Nature-inspired “ant-like” robotics as a special case of swarm robotics.

https://en.wikipedia.org/wiki/Ant_robotics
Open Research & Multi-Robot Resources (Stepping-Stones Toward True Swarms)

Programming Multiple Robots with ROS 2 (online book)
 • Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).

https://osrf.github.io/ros2multirobotbookSimulation with ROS 2 & Gazebo (ROS 2 Humble tutorial)
 • Official tutorial on connecting ROS 2 to Gazebo simulation.

https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.htmlSpawning Multiple Robots in Gazebo with ROS 2
 • Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.

https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)
 • Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).

https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987
Getting Hands-On: Consumer Robotics, ROS 2 & Gazebo

ROS 2 (Robot Operating System 2)

Official ROS 2 Documentation – Humble (LTS)
 • Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.

https://docs.ros.org/en/humbleROS 2 Installation Guide (Humble)
 • Step-by-step install on supported platforms.

https://docs.ros.org/en/humble/Installation.html“From Zero to Robotics Hero: A Beginner’s Guide to ROS 2” (article)
 • Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).

https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87baROS 2 Tutorial for Beginners (2025 guide)
 • Up-to-date intro that walks you from install to simulating your first robot in 2025.

https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html
Gazebo Simulation

Gazebo Sim – Official Site
 • Modern Gazebo (Ignition) simulator; models, worlds, and docs.

https://gazebosim.orgGetting Started with Gazebo (Docs)
 • Official “start here” guide for using Gazebo and Gazebo Fuel assets.

https://gazebosim.org/docs/latest/getstartedClassic Gazebo Tutorials • (still useful for fundamentals)

https://classic.gazebosim.org/tutorials
micro-ROS (ROS 2 on Microcontrollers)

micro-ROS – ROS 2 for Microcontrollers
 • Official site for running ROS 2 on tiny embedded boards.

https://micro.ros.orgmicro-ROS GitHub Organization
 • Repositories, examples, and tutor...

Chris on AI, autonomous swarming, home automation and Rust!

Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.

Featuring:

 • Tania Allard – 
Website • , 
GitHub • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

“What’s your ML score” talk“Jupyter Notebooks: Friends or Foes?” talkJoel Grus’s episode: “AI code that facilitates good science”Papermillnbdevnbval
Books

“DevOps For Dummies” by Emily Freeman
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Testing ML systems

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