How is OpenWALDO different from open-weight models like those on Hugging Face?

Open-weight models allow users to download and run AI anywhere, but they ship without the code, methods, recipes and training data needed to regenerate them. OpenWALDO includes an AI Bill of Materials with full training data, object references, documents, tokens, inventory and licenses—meaning every assertion is attributed, rewritable and correctable in public, following a "Know before you train" principle.

Who can use OpenWALDO?

The project is available to anyone: individuals, hobbyists, researchers, institutions and corporations. The objective is to let everyone learn together, build on the public foundation for the public good, and create a durable AI commons.

Who is leading OpenWALDO?

Gregory Kurtzer, the founder of Rocky Linux, CentOS and Apptainer, is leading the project. OpenWALDO is sponsored by Ctrl IQ Inc.

Large Language ModelsOpen-Source AISiliconANGLE AIAug 12, 2026Aug 12, 2026, 19:01 JST

OpenWALDO launches open-source AI training data project

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3 Key Points

What happened
OpenWALDO, a new open-source AI project sponsored by Ctrl IQ Inc., launched today under the leadership of Gregory Kurtzer, founder of Rocky Linux, CentOS and Apptainer. The project aims to build a community-led corpus of AI training data, similar to Hugging Face but focused on providing not just open-weight models but also the full code, methods, recipes, and training data needed to regenerate them.
Why it matters
Open-weight models allow users to download and run AI anywhere, but they typically ship without the training data and methods needed to recreate them. OpenWALDO proposes an AI Bill of Materials that includes full training data with object references, documents, tokens, inventory and licenses, meaning every assertion is attributed, rewritable and correctable in public. This "Know before you train" approach addresses the current industry pattern where AI teams duplicate work by assembling foundation training material from scratch across the globe.
What to watch
The project is available to individuals, hobbyists, researchers, institutions and corporations. OpenWALDO aims to provide a community-built resource for archiving best practices, allowing experimentation in public, and building auditable lines that can be evaluated collectively—creating what Kurtzer describes as a durable AI commons.

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Context & Analysis

OpenWALDO addresses a real gap in the current open-source AI landscape. While open-weight models have been a major step forward—allowing users to run AI on consumer hardware without proprietary lock-in—they remain incomplete without the training data and methods that generated them. The body describes a widespread industry problem: AI teams routinely duplicate effort by assembling their own foundation training material from scratch, scraping recipes piecewise across the globe. OpenWALDO proposes a solution modeled on successful open-source projects: a shared infrastructure for training data that operates at scale, with full transparency about content provenance, licensing, and attribution.

Kurtzer's leadership is significant because he has built communities around other foundational open-source projects (Rocky Linux, CentOS, Apptainer). The project's framing—"Know before you train"—emphasizes public auditability: by making training data, licenses and provenance fully visible, OpenWALDO aims to address legal and ethical concerns that can arise when models are trained on data of unclear origin or rights. The body frames this as an evolution beyond open-weight models, leveraging the proven model that open-source has used to win trust against proprietary vendors' claims of security and accountability concerns.

FAQ

How is OpenWALDO different from open-weight models like those on Hugging Face?: Open-weight models allow users to download and run AI anywhere, but they ship without the code, methods, recipes and training data needed to regenerate them. OpenWALDO includes an AI Bill of Materials with full training data, object references, documents, tokens, inventory and licenses—meaning every assertion is attributed, rewritable and correctable in public, following a "Know before you train" principle.
Who can use OpenWALDO?: The project is available to anyone: individuals, hobbyists, researchers, institutions and corporations. The objective is to let everyone learn together, build on the public foundation for the public good, and create a durable AI commons.
Who is leading OpenWALDO?: Gregory Kurtzer, the founder of Rocky Linux, CentOS and Apptainer, is leading the project. OpenWALDO is sponsored by Ctrl IQ Inc.

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