# Do the models you use have an AI bill of materials? | CIQ’s Gregory Kurtzer

An episode of [Dev Interrupted](https://invisiblenetwork.ai/podcast/1537003676), 27 Oct 2026, 45 min.

Audio: https://www.buzzsprout.com/1422892/episodes/20026172-do-the-models-you-use-have-an-ai-bill-of-materials-ciq-s-gregory-kurtzer.mp3

Most companies control the prompts they send to a model, but not what went into it. That’s the gap CIQ founder and CEO Gregory Kurtzer, who set up the community that built Rocky Linux, wants an AI bill of materials to close. This week on Dev Interrupted, he joins Andrew to make the case for OpenWALDO, a community-backed corpus of AI training data built on open weights, artifacts, licenses, data and origins. Greg explains why open weights alone don’t make a model open source, and why a model trained on copyleft code raises a licensing question nobody has litigated. They close the conversation on why the community side of open source matters more than ever now that AI lets more people contribute. Save your seat: What your software factory is doing to your engineers Follow the show: • Subscribe to our Substack • Follow us on LinkedIn • Subscribe to our YouTube Channel Follow the hosts: • Follow Andrew • Follow Ben • Follow Dan Follow today's guest: • OpenWALDO: The open source AI project Greg launched, built on open weights, artifacts, licenses, data and origins • OpenWALDO Slack: Join the community Greg invites listeners into • OpenWALDO on GitHub: The project’s code and tooling • CIQ: Greg’s company, where he is founder and CEO • Rocky Linux: The enterprise Linux distribution whose community Greg set up • Why Open Source Matters for AI: Tim O’Reilly’s piece on open weights, protocols and the architecture of participation • Connect with Greg: LinkedIn OFFERS • Start Free Trial: Get started with LinearB's AI productivity platform for free. • Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB • AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. • AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. • AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. • MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

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