How Do You Trust the AI Auditor? STEM-AI v1.1.2 and Memory-Contracted Bio-AI Audits

Previous article: How Auditing 10 Bio-AI Repositories Shaped STEM-AI In the first STEM-AI write-up, I described what happened after auditing 10 open-source bio/medical AI repositories. The important lesson was not just that some repositories lacked clinical disclaimers, tests, or governance artifacts. The useful lesson was this: Text-only review is too weak for bio/medical AI. You have to inspect the code path. That worked. But it exposed the next problem. If an AI system is auditing another AI or bioinformatics repository, how do you trust the auditor? LLMs drift.