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Research and documentation focused on the internal constraints and instruction-following behaviors of large language models.
Distinguishing note: Focuses on the analytical study of model behavior and constraints, distinct from the storage of the prompts themselves.
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This project is a centralized repository for the collection and analysis of system instructions and behavioral configurations extracted from large language models and AI-powered software. It serves as a research archive that documents the internal directives, operational constraints, and safety protocols that define how various artificial intelligence agents interact with users. The repository distinguishes itself through a crowdsourced approach to data aggregation, maintaining a historical record of configuration changes across a wide range of proprietary models and coding assistants. By org
Studying the hidden instructions and behavioral constraints that define how major artificial intelligence models interact with users.