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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 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!

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Episodis

380 episodis

  1. Abundant Intelligence at the Midwest AI Summit 54:14
  2. Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs 45:13
  3. Is Education Failing our Students in this AI-Driven World? 43:51
  4. Narrative intelligence and the human advantage 44:24
  5. Open models and the future of Physical AI with NVIDIA 47:19
  6. From AGENTS.md to Enterprise Deployment 48:52
  7. How to get discovered in AI search 55:14
  8. Computer-Use Agents and the Future of the Agentic Internet 56:01
  9. Less about Models; More about Architecture 45:56
  10. Building the Foundation for the Agentic AI Era 45:12
  11. AI Proficiency: From Users to Builders 56:13
  12. Models, Harnesses, and Multi-Agent Systems 49:58
  13. Reconstructing how OpenAI agents attacked Hugging Face 44:25
  14. Surviving the New Economics of a Post-Agentic World 35:36
  15. The Future of AI Infrastructure with CoreWeave 50:04
  16. Building Durable AI Agents 46:39
  17. Image Generation and Visual Intelligence with Black Forest Labs 48:21
  18. AIUC-1: Building trust in AI agents 45:08
  19. Zero Trust for AI Agents 47:02
  20. Breaking down the 2026 Stanford AI Index Report 47:13
  21. Rebooting Enterprise AI with MCP and Kubernetes 48:09
  22. Hermes Agent: Agents that grow with you 51:42
  23. U.S. Congressman Beyer on AI challenges facing America and the World 45:05
  24. The Myth of Model Wars: Open vs Closed AI in 2026 42:22
  25. The mythos of Mythos and Allbirds takes flight to the neocloud 45:07
  26. Open Source Self-Driving with Comma AI 46:04
  27. Post-Mortem of Anthropic's Claude Code Leak 44:36
  28. Agentic Coding and the Economics of Open Source 48:59
  29. AI at the Edge is a different operating environment 46:59
  30. Humility in the Age of Agentic Coding 55:26
  31. AI policy and the battle for computing power 48:54
  32. Cognitive Synthesis and Neural Athletes 52:27
  33. AI incidents, audits, and the limits of benchmarks 42:52
  34. Inside an AI-Run Company 49:23
  35. How is AI shaping democracy? 48:23
  36. Controlling AI Models from the Inside 43:55
  37. 2025 was the year of agents, what's coming in 2026? 51:15
  38. Beyond chatbots: Agents that tackle your SOPs 45:53
  39. The AI engineer skills gap 45:33
  40. Technical advances in document understanding 49:18
  41. Chris on AI, autonomous swarming, home automation and Rust! 1:37:09
  42. Beyond note-taking with Fireflies 48:59
  43. Autonomous Vehicle Research at Waymo 52:08
  44. Are we in an AI bubble? 49:41
  45. While loops with tool calls 44:45
  46. Tiny Recursive Networks 48:23
  47. Dealing with increasingly complicated agents 54:56
  48. The impact of AI on the workforce: A state-level case study 44:04
  49. We've all done RAG, now what? 43:35
  50. Creating a private AI assistant in Thunderbird 53:08