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In many ways, this is the same danger that arises when using any code that a developer does not originate, similar to copying code from a web-based source, or reusing code from a library. If a code suggestion matches current code, there is threat that using that suggestion could set off claims of copyright infringement, which would rely upon the amount and nature of code used, and the context of how the code is used. In uncommon situations (less than 1% primarily based on GitHub’s research), ideas from GitHub could match examples of code used to train GitHub’s AI mannequin. The model that powers Copilot is educated on a broad assortment of publicly accessible code, which can embrace copyrighted code, and Copilot’s ideas (in rare instances) could resemble the code its model was educated on. The Large Language Model (LLM) powering GitHub Copilot was trained on public code and there have been situations in our tests the place the tool made suggestions resembling personal data.