Open-Source Tool Tracks Human vs. AI Contributions in Collaboratively Edited Text

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A developer has released an open-source project on GitHub called 'us-vs-them' that aims to attribute text edits to either human authors or AI agents. The tool uses a diff-based, line-level provenance approach to track changes made during agentic editing workflows. This means each line of text can be traced back to its origin, distinguishing human-written content from AI-generated additions or modifications. The project addresses a growing need for transparency as AI-assisted writing and editing becomes more common. At the time of reporting, the submission had received minimal community engagement on Hacker News.

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