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AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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Beyond M15: Why STEM BIO-AI Started Acting More Like a Governance Report in v1.8.x
STEM BIO-AI v1.8.x moved beyond M15 integration by turning its audit output into a clearer governance report with bounded scores, traceability, and release integrity.

We Made a High-Formality, Fake Physics Slop Artifact - QSOT (Quantum State Over Time) Compiler
A post-mortem on QSOT Compiler v1.2.3, a high-formality AI-generated scientific software artifact that looked rigorous but failed core reproducibility and claim-validation checks.

We Built AI Verification Infrastructure. Then It Found Our Blind Spots.
A technical account of the Flamehaven Verification Ledger — what it found, where it failed, and what we need the field to tell us

Stanford. Princeton. A bioRxiv Paper. So Why Did Nobody Ask Where the Data Goes?
BioClaw processes EHR data. Its primary showcase channel is WhatsApp. We audited the repository: 60/100, Tier 2 Caution. Here is what the bioRxiv paper says that the README does not.

Making Equation (2.2) of the OpenAI Erdős Result Executable
Executable reproduction of equation (2.2) from OpenAI’s Erdős unit-distance result, showing how high-precision Python turns a fragile numerical claim into reproducible claim custody.

Your Bio Repo Could Get You Fined. Here Is Why We Check Every Single One.
When a bio AI repository claims HIPAA compliance but the code says otherwise, the legal exposure falls on whoever deploys it. STEM-BIO-AI evaluated yorkeccak/bio — 322 stars, modern stack, one dangerous README line. Score: 48/100. T1 Quarantine. Full audit report with score matrix, regulatory traceability, and raw machine output.

From Repo Scanner to Audit Architecture: What Changed in STEM BIO-AI Through v1.7.8
A technical look at how STEM BIO-AI v1.7.8 became less Python-shaped, more semantically stable, and more inspectable across real audit output surfaces.
STEM-BIO-AI Audit Report: yorkeccak/bio
When a README Claim Meets a Deterministic Scanner

Beyond Repo Scanning: How AIRI Expanded the Risk Vocabulary in STEM BIO-AI 1.7.x
How STEM BIO-AI uses the MIT AI Risk Repository as a governed local risk-vocabulary layer without replacing deterministic repository scanning

When Control Becomes Authority: Calibration Governance in STEM BIO-AI 1.7.x
Why STEM BIO-AI treats calibration as governed policy instead of a free-form score-tuning console for bio and medical AI repository audits.

From Score to Workflow: Turning STEM BIO-AI Into a Local Audit System
Bio/medical AI trust should not collapse into one score. STEM BIO-AI v1.6.2 shows how deterministic auditing, evidence-led diagnostics, regulatory traceability, and bounded AI advisory can become an inspectable local workflow.

How Do You Trust the AI Auditor? STEM-AI v1.1.2 and Memory-Contracted Bio-AI Audits
STEM-AI v1.1.2 binds a bio/medical AI repository audit to a machine-checkable memory contract, then demonstrates it on a real open-source bioinformatics repository.
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