The correct option is Your editor content is processed only in memory to produce suggestions and the Copilot model runs on GitHub servers trained on public repositories and your code is neither stored nor logged.

This description matches how GitHub Copilot generates completions because your editor sends relevant context to a GitHub operated inference service that returns suggestions and the context is handled transiently to produce the completion. Copilot is trained on public code and GitHub explains that your private prompts and completions are not used to train the model and that the service focuses on in‑memory processing of your context to produce suggestions.

All code analysis and suggestion generation run only on your laptop and no data is ever sent to any remote service is wrong because Copilot relies on a cloud hosted model endpoint and your editor must contact that service to get completions so it is not a fully local system.

Snippets from your editor are regularly captured and stored to continuously retrain the Copilot model is wrong because GitHub does not use your code to train the Copilot model and it does not continuously harvest your editor snippets for training.

GitHub Copilot uses Vertex AI Codey in your Google Cloud project to host the model and prompts are stored in your project for future fine tuning is wrong because Copilot is operated by GitHub and it does not run on your Google Cloud project and it does not use Google Vertex AI Codey or store prompts in your project for fine tuning.

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