Practical AI
25 stories
Practical AIVoicesIs Education Failing our Students in this AI-Driven World? Schools and universities are failing to adapt to our modern world, in which AI is becoming increasingly pervasive in all aspects of life and work.
Practical AIVoicesNarrative intelligence and the human advantage As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities.
Practical AIVoicesOpen models and the future of Physical AI with NVIDIA As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging.
Practical AIVoicesFrom AGENTS.md to Enterprise Deployment AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter.
Practical AIVoicesHow to get discovered in AI search AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the…
Practical AIVoicesComputer-Use Agents and the Future of the Agentic Internet Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris…
Practical AIVoicesLess about Models; More about Architecture As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture?
Practical AIVoicesBuilding the Foundation for the Agentic AI Era How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects…
Practical AIVoicesAI Proficiency: From Users to Builders As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply…
Practical AIVoicesModels, Harnesses, and Multi-Agent Systems AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter?
Practical AIVoicesReconstructing how OpenAI agents attacked Hugging Face What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery!
Practical AIVoicesSurviving the New Economics of a Post-Agentic World The agentic transformation isn’t coming. It has already begun. Companies are deploying thousands — and sometimes tens of thousands — of AI agents.
Practical AIVoicesThe Future of AI Infrastructure with CoreWeave 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…
Practical AIVoicesBuilding Durable AI Agents 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…
Practical AIVoicesImage Generation and Visual Intelligence with Black Forest Labs 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…
Practical AIVoicesAIUC-1: Building trust in AI agents 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…
Practical AIVoicesZero Trust for 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…
Practical AIVoicesBreaking down the 2026 Stanford AI Index Report 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…
Practical AIVoicesRebooting Enterprise AI with MCP and Kubernetes 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…
Practical AIVoicesHermes Agent: Agents that grow with you 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…
Practical AIVoicesU.S. Congressman Beyer on AI challenges facing America and the World 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.
Practical AIVoicesThe Myth of Model Wars: Open vs Closed AI in 2026 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?
Practical AIVoicesThe mythos of Mythos and Allbirds takes flight to the neocloud In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible…
Practical AIVoicesOpen Source Self-Driving with Comma AI Autonomous driving is not just a big tech or closed-source game, it's becoming accessible through open innovation and real-world deployment.
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