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Investigations into vulnerabilities and information disclosure risks within AI model configurations.
Distinguishing note: Focuses on model-specific security research rather than general software security.
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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
Investigates potential vulnerabilities and information disclosure risks within proprietary model configurations.