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title: Do the models you use have an AI bill of materials? |...
description: CIQ founder Gregory Kurtzer argues AI models need a bill of materials covering training data, weights, licenses and origins. He's backing OpenWALDO, a...
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og:description: CIQ founder Gregory Kurtzer argues AI models need a bill of materials covering training data, weights, licenses and origins. He's backing OpenWALDO, a...
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# Do the models you use have an AI bill of materials? | CIQ’s Gregory Kurtzer

**[Dev Interrupted](https://daily.dev/sources/devinterrupted)** · 5 min read · 0 upvotes · 0 comments

## Summary

CIQ founder Gregory Kurtzer argues AI models need a bill of materials covering training data, weights, licenses and origins. He's backing OpenWALDO, a community-built corpus meant to make AI training data genuinely open, and warns that open weights alone don't make a model open source. The roundup also covers the Agentic AI Foundation growing from 3 to 10 hosted projects with contributions from Anthropic, OpenAI, Hugging Face and Alibaba. LinearB data shows AI-generated pull requests merge at 33 percent versus 85 percent for human-written ones.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://devinterrupted.substack.com/p/do-the-models-you-use-have-an-ai>

## Questions this post answers

### What is an AI bill of materials and why would a model need one?

An AI bill of materials documents what went into a model, such as its training data, weights, artifacts, licenses and data origins, since companies typically control the prompts they send to a model but not what the model was built from. Gregory Kurtzer, founder of CIQ and the Rocky Linux community, is pushing the concept through OpenWALDO, a community-backed corpus addressing this gap.

_Developers vetting model provenance before adoption can follow AI bill of materials efforts like OpenWALDO on daily.dev._

### Do AI-generated pull requests merge at the same rate as human-written ones?

No, AI-generated pull requests merge far less often. Across more than 8.1 million pull requests analyzed by LinearB, AI-generated PRs merged at 33 percent compared to 85 percent for human-written pull requests, suggesting AI-authored code faces more review friction or rejection before landing.

_Teams tracking AI code quality trends can follow merge-rate benchmarks like this on daily.dev._

### Does using open-weight models mean the model is open source?

No, open weights alone do not make a model open source. Gregory Kurtzer explains that a model trained on copyleft code raises a licensing question that nobody has litigated yet, meaning the openness of the weights says nothing about the legal status of the training data or the resulting license obligations.

_Engineers weighing model licensing risk can track this open-source-versus-open-weights debate on daily.dev._

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---

Tags: [#open-source](https://daily.dev/tags/open-source), [#ai-coding](https://daily.dev/tags/ai-coding)

[View this post on daily.dev](https://daily.dev/posts/do-the-models-you-use-have-an-ai-bill-of-materials-ciq-s-gregory-kurtzer-xonocjffu)

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