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Episode 67: Saving Hundreds of Hours of Dev Time with AI Agents That Learn
This is continual learning, right? Everyone has been talking about continual learning as the next challenge in AI. Actually, it’s solved. Just tell …
17 hours ago
Episode 66: The Agent Paradox - Why Moderna's Most Productive AI Systems Aren't Agents
Surprise. We don’t have agents. I actually went in and did an audit of all the LLM applications that we’ve developed internally. And if you were to t…
6 days, 13 hours ago
Episode 65: The Rise of Agentic Search
We’re really moving from a world where humans are authoring search queries and humans are executing those queries and humans are digesting the result…
3 weeks, 5 days ago
Episode 64: Data Science Meets Agentic AI with Michael Kennedy (Talk Python)
We have been sold a story of complexity. Michael Kennedy (Talk Python) argues we can escape this by relentlessly focusing on the problem at hand, red…
1 month, 1 week ago
Episode 63: Why Gemini 3 Will Change How You Build AI Agents with Ravin Kumar (Google DeepMind)
Gemini 3 is a few days old and the massive leap in performance and model reasoning has big implications for builders: as models begin to self-heal, b…
1 month, 3 weeks ago
Episode 62: Practical AI at Work: How Execs and Developers Can Actually Use LLMs
Many leaders are trapped between chasing ambitious, ill-defined AI projects and the paralysis of not knowing where to start. Dr. Randall Olson argues…
2 months, 2 weeks ago
Episode 61: The AI Agent Reliability Cliff: What Happens When Tools Fail in Production
Most AI teams find their multi-agent systems devolving into chaos, but ML Engineer Alex Strick van Linschoten argues they are ignoring the production…
2 months, 4 weeks ago
Episode 60: 10 Things I Hate About AI Evals with Hamel Husain
Most AI teams find "evals" frustrating, but ML Engineer Hamel Husain argues they’re just using the wrong playbook. In this episode, he lays out a dat…
3 months, 2 weeks ago
Episode 59: Patterns and Anti-Patterns For Building with AI
John Berryman (Arcturus Labs; early GitHub Copilot engineer; co-author of Relevant Search and Prompt Engineering for LLMs) has spent years figuring o…
3 months, 3 weeks ago
Episode 58: Building GenAI Systems That Make Business Decisions with Thomas Wiecki (PyMC Labs)
While most conversations about generative AI focus on chatbots, Thomas Wiecki (PyMC Labs, PyMC) has been building systems that help companies make ac…
4 months ago