The show, episode by episode

Practical AI

Daniel Whitenack and Chris Benson

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…

Practical AI

Models, Harnesses, and Multi-Agent Systems

Reconstructing how OpenAI agents attacked Hugging Face

Surviving the New Economics of a Post-Agentic World

The Future of AI Infrastructure with CoreWeave

Building Durable AI Agents

Image Generation and Visual Intelligence with Black Forest Labs

AIUC-1: Building trust in AI agents

Zero Trust for AI Agents

Breaking down the 2026 Stanford AI Index Report

Rebooting Enterprise AI with MCP and Kubernetes

Hermes Agent: Agents that grow with you

U.S. Congressman Beyer on AI challenges facing America and the World

The Myth of Model Wars: Open vs Closed AI in 2026

The mythos of Mythos and Allbirds takes flight to the neocloud

Open Source Self-Driving with Comma AI

Post-Mortem of Anthropic's Claude Code Leak

Agentic Coding and the Economics of Open Source

AI at the Edge is a different operating environment

Humility in the Age of Agentic Coding

AI policy and the battle for computing power

Cognitive Synthesis and Neural Athletes

AI incidents, audits, and the limits of benchmarks

Inside an AI-Run Company

How is AI shaping democracy?

Controlling AI Models from the Inside

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

Beyond chatbots: Agents that tackle your SOPs

The AI engineer skills gap

Technical advances in document understanding

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

Beyond note-taking with Fireflies

Autonomous Vehicle Research at Waymo

Are we in an AI bubble?

While loops with tool calls

Tiny Recursive Networks

Dealing with increasingly complicated agents

The impact of AI on the workforce: A state-level case study

We've all done RAG, now what?

Creating a private AI assistant in Thunderbird

Cracking the code of failed AI pilots

GenAI risks and global adoption

Inside America’s AI Action Plan

Confident, strategic AI leadership

Educating a data-literate generation

Workforce dynamics in an AI-assisted world

Reimagining actuarial science with AI

Agentic AI for Drone & Robotic Swarming

AI in the shadows: From hallucinations to blackmail

Finding Nemotron

AI hot takes and debates: Autonomy

Behind-the-Scenes: VC Funding for AI Startups

AI-Automated Film Making

Federated learning in production (part 2)

Federated learning in production (part 1)

Emailing like a superhuman

Model Context Protocol Deep Dive

Seeing beyond the scan in neuroimaging

Open source AI to tackle your backlog

Orchestrating agents, APIs, and MCP servers

Software and hardware acceleration with Groq

AI-assisted coding with GitHub's COO

Optimizing for efficiency with IBM’s Granite

Build a workspace of AI agents

GenAI hot takes and bad use cases

Tool calling and agents

Deep-dive into DeepSeek

Video generation with realistic motion

Mozart to Megadeth at CHRP

Sidekick is an AI Shopify expert

Full-duplex, real-time dialogue with Kyutai

Clones, commerce & campaigns

scikit-learn & data science you own

Creating tested, reliable AI applications

AI is changing the cybersecurity threat landscape

The path towards trustworthy AI

Big data is dead, analytics is alive

Practical workflow orchestration

Towards high-quality (maybe synthetic) datasets

Understanding what's possible, doable & scalable