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revert: undo addition of Generated-by tag to AI guidelines
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docs/contributing/ai_usage_guidelines.md

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@@ -46,7 +46,7 @@ Artificial Intelligence (AI) and Large Language Models (LLMs) tools are rapidly
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1. Maintainer capacity to review contributions is a finite, valuable resource. As such, _all_ contributions should strive to meet the rigorous guidelines and standards of the project. This will both maximize the chances of getting your pull request reviewed and merged, and minimize maintainer burden.
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2. All contributions are bound by the project's [licensing terms][stdlib-license] (the Apache License, Version 2.0), and must adhere to the [Developer's Certificate of Origin][contributing-dco].
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3. Contributing to stdlib requires human judgement and understanding of the project's structure and conventions. Contributors should be able to explain the reasoning behind their changes, and ensure that they meet the project's standards.
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4. If AI tools are used to assist with a contribution such that you're effectively copying and pasting or inserting output without changes, this must be **clearly disclosed**. Disclosure should include a description of how AI was used and what specific contributions it made. Include the AI tool used and the version (if applicable) in the git commit footer (per the [Conventional Commits footer spec][conventional-commits-spec]) using the tag `Assisted-by: ToolNamevX.X.X` or `Generated-by: ToolNamevX.X.X` as appropriate.
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4. If AI tools are used to assist with a contribution such that you're effectively copying and pasting or inserting output without changes, this must be **clearly disclosed**. Disclosure should include a description of how AI was used and what specific contributions it made. Include the AI tool used and the version (if applicable) in the git commit footer (per the [Conventional Commits footer spec][conventional-commits-spec]) using the tag `Assisted-by: ToolNamevX.X.X`.
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5. Do not use AI tools to resolve issues marked as **"Good First Issue"**. These issues are intended to help newcomers learn about the project and gain experience with the mechanics of contributing.
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## Use Cases

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