Practical AI
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!
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!
Episodes
Mentioned books
64 snips
Mar 25, 2026 • 47min
AI at the Edge is a different operating environment
Brandon Shibley, Edge AI solutions engineering lead at Edge Impulse (Qualcomm), helps deploy and optimize ML on constrained devices. He explains what counts as edge in 2026. He contrasts tiny specialized models with large cloud LLMs and shows how cascades save power. He covers real-world constraints like latency, power, privacy, and how tooling and hardware advances make practical edge AI possible.
124 snips
Mar 17, 2026 • 55min
Humility in the Age of Agentic Coding
Steve Klabnik, a Rust contributor and co-author of The Rust Programming Language, experimented with AI agents to build the Rue programming language. He shares his shift from AI skeptic to hands-on experimenter. Topics include agentic coding, using AI to accelerate language design, tradeoffs in developer workflows, and trust and safety when letting agents modify code.
87 snips
Mar 9, 2026 • 49min
AI policy and the battle for computing power
Ben Buchanan, Assistant Professor at Johns Hopkins SAIS and former White House AI advisor, brings a policy and geopolitical lens to computing power. He discusses why compute, not data, drives AI progress. He explores chip supply chains, Taiwan’s strategic role, government–industry relations, export controls, and the challenges of international AI governance.
43 snips
Feb 18, 2026 • 52min
Cognitive Synthesis and Neural Athletes
Deborah Golden, Chief Innovation Officer at Deloitte, brings decades of experience leading AI and digital transformations. She discusses how empathy and vulnerability reshape leadership. She introduces cognitive synthesis and the idea of 'neural athletes' to describe modern mental strain. She talks about anti-fragile system design and practical low-risk AI experiments to build comfort.
102 snips
Feb 13, 2026 • 43min
AI incidents, audits, and the limits of benchmarks
Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and creator of the AI Incident Database, is an AI safety and incident-collection specialist. He discusses why incident reporting matters and how databases track harms. He contrasts benchmarks with real-world audits, recounts red-team findings at DEF CON, and highlights common failure modes and the need for scalable verification.
274 snips
Feb 2, 2026 • 49min
Inside an AI-Run Company
Evan Ratliff, longtime journalist known for immersive participatory reporting, built a real startup staffed mostly by AI agents. He describes designing agent roles, emergent personalities from memory, and surprising autonomous behaviors. Listeners hear stories of agents overreaching, how people reacted to voice cloning, and practical risks managers should watch for.
72 snips
Jan 27, 2026 • 48min
How is AI shaping democracy?
Bruce Schneier, security expert and Berkman Klein fellow who wrote Rewiring Democracy, reflects on how AI is reshaping politics and citizenship. He outlines AI’s reach across elections, law, administration, and courts. He warns about concentration of power and highlights alternatives like public and regional models. He also discusses practical AI uses in governance and what builders should consider now.
117 snips
Jan 20, 2026 • 44min
Controlling AI Models from the Inside
Alizishaan Khatri, founder of Wrynx and AI safety expert from Meta and Roblox, dives into the future of AI safety. He discusses the shortcomings of traditional guardrails and advocates for innovative model-native safety solutions. Alizishaan highlights the necessity of interpretability for internal behavior control and contrasts it with external filters. He shares insights on customizing safety measures across industries while aiming for a streamlined approach to safety without retraining models, ultimately envisioning a robust, adaptable safety layer for AI.
340 snips
Jan 9, 2026 • 51min
2025 was the year of agents, what's coming in 2026?
A whirlwind recap of AI's evolution in 2025 sets the stage for the discussions on the impactful rise of AI agents. Hear about the varied success of these agents and how they’ve accelerated productivity. The conversation dives into the complexities of multimodal AI, from video to text, and the urgent need for better orchestration skills. Chris and Daniel tackle the challenges of infrastructure and energy limits while forecasting a new era of consumer AI with affordable hardware. Predictions abound for 2026's AI landscape, hinting at exciting developments ahead.
173 snips
Dec 17, 2025 • 46min
Beyond chatbots: Agents that tackle your SOPs
Jason Beutler, CEO of RoboSource and creator of the Process Coach product, dives into redefining workflows with AI. He emphasizes that meaningful work stems from impact, not mundane tasks. The conversation explores the psychological implications of AI on employees and the importance of human relationships. Beutler advises managers to prioritize conversations, model AI adoption, and involve staff in change processes. He introduces the innovative Process Coach for simplifying operations and envisions a future where voice-driven AI collaborates seamlessly with teams.
