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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

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 SourceThe Directions of Technical ChangeThe Tailwind story
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Agentic Coding and the Economics of Open Source

What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today.

Featuring:

 • Brandon Shibley –
 LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Read our Ultimate Guide to Edge AI • Download your copy of 
O'Reilly's AI at the Edge • 
 • Check out the Edge Impulse 
blog • Sign-up for an 
expert led trial • of Edge Impulse

Upcoming Events: 

 • Register for 
upcoming webinars here • !

AI at the Edge is a different operating environment

What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world.

Featuring:

 • Steve Klabnik –
 LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

The Rust Programming LanguageRustRueDaniel's RSA Meeting link for March 23, 2026Daniel's RSA Meeting link for March 24-25, 2026
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Humility in the Age of Agentic Coding

AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations. In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI.

Featuring:

 • Ben Buchanan –
 LinkedIn • 
 • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X
Links:

The AI Grand Bargain
Upcoming Events: 

 • Register for 
upcoming webinars here • !

AI policy and the battle for computing power

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 DEFCON 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?

WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.

Featuring:

 • Charles Martin – 
GitHub • , 
LinkedIn • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

WeightWatcherTalk from the Silicon Valley ACM meetupA deep dive into the theory behind WeightWatcher (a talk from ENS)
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Evaluating models without test data

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