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AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.

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We Built AI Verification Infrastructure. Then It Found Our Blind Spots.
Scientific & BioAI Infrastructure

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

Evidence-aware scientific systems#AI#AGI#AI Ethics#AI Alignment#AI Governance#Biomedical#Bioinformatics#Mlops#Deep Learning#Machine Learning#SR9/DI2#Cognitive Science#Open Source#Developer Tools#DevOps#AI Research#Scientific Integrity#Software Development#Data Orchestration#Code Review#AI Productivity#Numerical verification#Computational mathematics#Executable artifacts#AI-assisted mathematics#Claim custody
Making Equation (2.2) of the OpenAI Erdős Result Executable
Scientific & BioAI Infrastructure
Equation to Artifact

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.

Evidence-aware scientific systems#Reproducibility#Open Source#Computational mathematics#Executable artifacts#AI-assisted mathematics#Claim custody#Numerical verification
From Repo Scanner to Audit Architecture: What Changed in STEM BIO-AI Through v1.7.8
Scientific & BioAI Infrastructure
STEM-AI:Soverign Trust Evaluator for Medical AI Artifacts

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.

Evidence-aware scientific systems#Deep Learning#AGI#AI Alignment#AI Governance#Biomedical#Bioinformatics#Mlops#Cognitive Science#Developer Tools#Open Source#AI Code#Contextengineering#Architecture#Software Development#Programming#Scientific Integrity#AI Research
NO FEATURE IMAGE
Scientific & BioAI Infrastructure
STEM_BIO_AI Audit Report

STEM-BIO-AI Audit Report: yorkeccak/bio

When a README Claim Meets a Deterministic Scanner

Evidence-aware scientific systems#AI#AGI#AI Ethics#AI Governance#Biomedical#Bioinformatics#Code Review#Data Orchestration#Architecture#Contextengineering#Software Development#Prompt Engineering#Scientific Integrity#AI Research#Open Source#Cognitive Science
Beyond Repo Scanning: How AIRI Expanded the Risk Vocabulary in STEM BIO-AI 1.7.x
Scientific & BioAI Infrastructure
STEM-AI:Soverign Trust Evaluator for Medical AI Artifacts

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

Evidence-aware scientific systems#AI#AGI#AI Alignment#AI Governance#Biomedical#Bioinformatics#Cognitive Science#Open Source#AI Research#Scientific Integrity#Prompt Engineering#Software Development#Github#AI Code#Architecture#Security#Data Orchestration#Agent
From Score to Workflow: Turning STEM BIO-AI Into a Local Audit System
Scientific & BioAI Infrastructure
STEM-AI:Soverign Trust Evaluator for Medical AI Artifacts

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.

Evidence-aware scientific systems#AI#AGI#AI Ethics#AI Alignment#AI Governance#AI Hallucination#Biomedical#Bioinformatics#Deep Learning#Machine Learning#Cognitive Science#Open Source#Developer Tools#Scientific Integrity#AI Research#Product Management#Software Development#Github#Code Review#Enterprise AI#Data Orchestration
I Audited 10 Open-Source Bio-AI Repos. Most Could Produce Outputs. Few Could Establish Trust.
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