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A groundbreaking project, dubbed IRIS Gate, has introduced a novel approach to understanding the inner workings of artificial intelligence. Researchers have created an ‘Epistemic Map’ that visualizes how different AI models, including GPT-5, Claude 4.5, Gemini, and Grok, process information and formulate responses. By analyzing the confidence levels displayed by these models when presented with the same query, the project identifies four distinct response patterns: Trust, Verify, and Override, which provides a framework for assessing the reliability of AI-generated answers.

The open-source IRIS Gate project is now actively seeking collaborators to contribute to various aspects of its development. The call for participation includes independent replication of the research, code review, statistical validation, and general feedback. The project’s code and related materials are available on GitHub, with discussions already underway on Hacker News and Reddit’s r/artificialintelligence community. The researchers encourage community involvement to further refine and validate this innovative method for mapping AI knowledge and decision-making processes. [Reddit Post: https://old.reddit.com/r/artificial/comments/1o7d0co/we_just_mapped_how_ai_knows_things_looking_for/]