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AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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Scientific & BioAI Infrastructure
I Audited 10 Open-Source Bio-AI Repos. Most Could Produce Outputs. Few Could Establish Trust.
I audited 10 visible repositories. Most could produce outputs. Very few could establish what those outputs meant.
Evidence-aware scientific systems#AI#AI Ethics#AI Alignment#AI Governance#Biomedical#Bioinformatics#Future of Work#LLM#Open Source#DevOps#Scientific Integrity#Prompt Engineering#Github#AI Code#Contextengineering#Architecture#Security#AI Research
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Scientific & BioAI Infrastructure
Bio-AI Repository Audit 2026: A Technical Report on 10 Open-Source Systems
We audited 10 prominent open-source Bio-AI repositories using code inspection and STEM-AI trust scoring. 8 of 10 scored T0: trust not established. Here is what the code actually shows.
Evidence-aware scientific systems#AI#AGI#AI Alignment#AI Governance#Biomedical#Bioinformatics#Mlops#Deep Learning#Machine Learning#DevOps#AI Research#Scientific Integrity#Software Development#AI Code#Contextengineering#Architecture#Security
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Scientific & BioAI Infrastructure
STEM-AI:Soverign Trust Evaluator for Medical AI Artifacts
Medical AI Repositories Need More Than Benchmarks. We Built STEM-AI to Audit Trust
STEM-AI is a governance audit framework for public medical AI repositories. It scores README integrity, cross-platform consistency, and code infrastructure — because benchmarks alone don't tell you if a bio-AI tool is safe to trust.
Evidence-aware scientific systems#AI#AI Ethics#AI Alignment#AI Governance#Biomedical#Bioinformatics#LLM#Cognitive Science#AI Research#Scientific Integrity#Software Development#Architecture#Contextengineering#Security