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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 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 applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.

Featuring:

 • Corey Sanders – 
LinkedIn • 
 • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X
Links:

CoreWeave
Sponsors:

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 • !
Midwest AI Summit 2026

The Future of AI Infrastructure with CoreWeave

What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems. The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems.

Featuring:

 • Hamza Tahir – 
LinkedIn • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

ZenMLKitaruMachine Learning Tools Landscape v2 (+84 new tools)
Sponsors:

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 • !
Midwest AI Summit 2026

Building Durable AI Agents

How has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next. 

Featuring:

 • Dustin Podell – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Black Forest LabsDeveloper DashboardResearch PageFLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent SpaceLaying the Foundations for Visual Intelligence
Sponsors:

Midwest AI Summit: • Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. 
https://midwestaisummit.com/#ticketsPrediction Guard: • A self-hosted AI control plane for running agents in high impact environments. 
predictionguard.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

Image Generation and Visual Intelligence with Black Forest Labs

How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption.

Featuring:

 • Emil Lassen – 
LinkedIn • 
 • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links: 

Artificial Intelligence Underwriting Company
Sponsors:

Framer: • The enterprise-grade website builder that lets your team ship faster. Get 30% off at 
framer.com/practicalaiPrediction Guard: • A self-hosted AI control plane for running agents in high impact environments. 
predictionguard.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

AIUC-1: Building trust in AI agents

As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents.

Featuring:

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

Zero Trust for AI AgentsOWASP GenAI Project 
Sponsors:

Prediction Guard: • A self-hosted AI control plane for running agents in high impact environments. 
predictionguard.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

Zero Trust for AI Agents

AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. 

Featuring:

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

The 2026 AI Index Report
Sponsors:

Prediction Guard: • A self-hosted AI control plane for running agents in high impact environments. 
predictionguard.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

Breaking down the 2026 Stanford AI Index Report

What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.

Featuring:

 • Craig McLuckie – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

StacklokToolhive
Sponsors:

Prediction Guard: • A self-hosted AI control plane for running agents in high impact environments. 
predictionguard.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

Rebooting Enterprise AI with MCP and Kubernetes

Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate?

Featuring:

 • Jeffrey Quesnelle – 
Website • , 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Nous ResearchHermes Agent
Sponsors:

Framer: • The enterprise-grade website builder that lets your team ship faster. Get 30% off at 
framer.com/practicalaiPrediction Guard: • A self-hosted AI control plane for running agents in high impact environments. 
predictionguard.com/practicalai
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

Hermes Agent: Agents that grow with you

U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world. Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself. Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate. This is an unusual and insightful conversation you don't want to miss!

Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024:
AI in the U.S. Congress

Featuring:

 • Congressman Don Beyer – 
Congress • , 
LinkedIn • , 
Bluesky • , 
X • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X
Upcoming Events: 

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

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

In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model wars” are becoming irrelevant. The conversation then dives into a bigger transformation, the rise of agentic systems, workflows, and AI-driven infrastructure.

Featuring:

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

 • Register for 
upcoming webinars here • !
Midwest AI Summit 2026

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

At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!

Sponsors:

Fastly • – 
Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at 
fastly.comFly.io • – 
The home of Changelog.com • — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at 
fly.io/changelog • and check out 
the speedrun in their docs • . 
Typesense • – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! 

Featuring:

 • Erin Mikail Staples – 
Mastodon • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

Label StudioSlides from Erin’s recent PyData talk on RLHF
Upcoming Events: 

 • Register for 
upcoming webinars here • !

Creating instruction tuned models

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