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INDUSTRY REPORTMicrosoft2026-03-11

Microsoft Caught Using AI-Generated Plagiarized Flowchart in Official GitHub Documentation

Key Takeaways

  • ▸Microsoft used an AI image generator to recreate a 15-year-old open-source diagram without crediting or linking to the original creator
  • ▸The AI-generated version contains multiple errors and quality degradations, including misspelled words and misaligned arrows
  • ▸The incident highlights concerns about AI-generated content used at scale by major corporations without proper attribution or quality control
Source:
Hacker Newshttps://www.pcgamer.com/software/ai/microsoft-uses-plagiarized-ai-slop-flowchart-to-explain-how-github-works-removes-it-after-original-creator-calls-it-out-careless-blatantly-amateuristic-and-lacking-any-ambition-to-put-it-gently/↗

Summary

Microsoft published an AI-generated version of a famous Git branching model diagram on its official Learn portal without attribution or permission, 15 years after software engineer Vincent Driessen originally created and shared the chart. The AI-regenerated image contains numerous errors and degradations from the original, including garbled text such as "continvuocly morged" instead of "continuously merged" and "featue" instead of "feature." Driessen discovered the plagiarism and published a blog post criticizing Microsoft's use of AI to "wash off the fingerprints" from his carefully crafted work, transforming something that worked well into an inferior, careless reproduction. Microsoft has since replaced the image on its Learn portal without explanation or acknowledgment of the issue.

  • Microsoft removed the problematic image from its Learn portal but provided no public explanation or acknowledgment of the plagiarism

Editorial Opinion

This incident exposes a troubling pattern: using AI as a shortcut to avoid attribution while simultaneously degrading the original work. Microsoft's approach—taking established, well-designed work and running it through an AI generator to create a lower-quality imitation without credit—represents a concerning misuse of AI technology. It raises important questions about corporate responsibility, intellectual property respect, and the dangers of deploying AI-generated content at scale without proper oversight or care.

Generative AIEthics & BiasPrivacy & Data

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