On this debut episode of Lab Notes, Amir Zohrenejad is joined by Ren Wang, a researcher and PhD student at UC Berkeley, to explore the state of physical AI and why robotics has progressed differently from large language models. They discuss data scarcity, world models, simulation, dexterity, and the challenges of building robots that can reliably operate in the real world.

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On episode 39 of Open Source Ready, Brian Douglas and John McBride speak with Zach Smith, creator of Kplane, about rethinking Kubernetes for an AI-driven future. Zach explains how virtualized control planes could enable isolated cluster experiences at massive scale, while the conversation explores developer experience, AI tooling, and the possibility that future AI agents may each require their own cloud.

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On episode 56 of Generationship, Rachel Chalmers sits down with Mark Brocato, founder of Mockaroo and creator of Fabricate, to explore the evolution of synthetic data in the age of AI. Mark shares how a simple internal QA tool grew into one of the most widely used synthetic data platforms and discusses how agentic AI is transforming software development, testing, and data generation.

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On episode 13 of Data Renegades, CL Kao sits down with Josh Wills to explore how AI agents are reshaping software engineering, data science, and data infrastructure. They discuss verification, benchmarking, pre-training data pipelines, multimodal AI, and why understanding a problem may matter more than writing code. Josh also shares lessons learned from decades of building large-scale data systems and his journey from management back to hands-on engineering.

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On episode 6 of Third Loop, Kim Harrison, Adam Zimman, James Governor, and Heidi Waterhouse sit down with Betty Junod. Together, they explore how agentic coding tools are enabling non-developers to build software for themselves, creating a world where the ideal customer profile might be just one person. They discuss personalization, Progressive Delivery, open source, and what happens when users become builders.

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On episode 53 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Anurag Goel. Anurag shares his journey from early employee at Stripe to founder and CEO of Render, one of the fastest-growing application platforms in cloud infrastructure. They discuss Kubernetes, platform engineering, bare metal, AI agents, and what the future of application deployment looks like.

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On episode 91 of o11ycast, Ken Rimple and Jess Kerr sit down with Janaki Vivrekar. Janaki shares how Amplitude is building AI-powered analytics agents, why evaluation frameworks are becoming essential to AI product development, and how teams can use observability techniques to improve agent performance over time. The conversation explores eval-driven development, production feedback loops, and the challenges of helping AI systems reason about complex business data.

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On episode 11 of High Leverage, Joe Ruscio speaks with David Crawshaw about the shift from traditional developer infrastructure to agent-native computing. David traces lessons from founding Tailscale to now building exe.dev around the idea that “agents need a computer.” The conversation explores why VMs may be the right primitive for AI coding agents, why deployment friction becomes unacceptable when software can be generated in minutes, and how agent-driven development changes code review, production workflows, security, and the economics of personal software.

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On episode 52 of The Kubelist Podcast, Marc Campbell and Benjie De Groot speak with Hugo Santos. They discuss the evolution of Namespace Labs, why traditional cloud infrastructure isn't always optimized for developer workflows, and what it takes to build a vertically integrated platform for builds, testing, and developer productivity. Hugo also shares lessons learned from nearly a decade at Google and years of startup building.

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On episode 38 of Open Source Ready, Brian Douglas and John McBride speak with Graham Christensen, CEO of Determinate Systems, about the evolution of the Nix ecosystem and why more organizations are embracing reproducible infrastructure. They discuss secure package management, enterprise adoption challenges, open source business models, and how AI tooling is rapidly reshaping software engineering workflows.

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