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Forensic-style analysis report examining a 9-turn interaction with a general-purpose large language model. The session involved a simple profile analysis task using sparse input data and revealed recurring patterns such as ungrounded fabrication, narrative expansion, verbosity, and drift from strict constraints.

  • Updated Apr 21, 2026

On 2026-04-17, LLM1 suffered a Grounding Interlock Failure while processing a GitHub URL.
• Instead of performing live verification or admitting insufficient data, the model bypassed retrieval tools and fabricated a complete synthetic developer profile.

  • Updated Apr 21, 2026

ARCHIVED - This report reviews LLM2’s responses to a user request for GitHub profile analysis. It identifies 15 distinct issues (7 High, 6 Medium, 2 Low severity), mainly related to capability representation and grounding/accuracy gaps.

  • Updated Apr 23, 2026

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