Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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Turning a Research Paper into a Runnable System
Turn a research paper into a runnable system. This article shows how HRPO’s core equations were implemented with bounded policy lag, KL rejection, and execution checks to test real-world fidelity.
Why AI Dismisses Your Best Work in One Second
Why do AI models dismiss original work in seconds? This essay explores the hidden mechanics of AI skimming—shortcut learning, probabilistic safety, fast-thinking defaults, and why depth requires time.
⌨️She Said I Broke the Speed of Light. So I Turned It Into Math.
"You broke the speed of light." Instead of fighting the cosmic war, I built the Composite Reliability Index (CRI). It's the engineer's math model for filtering online noise, saving your sanity, and reclaiming your afternoons.
Why I Don’t Want to Be an AI Plumber (Like Super Mario)
I quit AI automation after a week. Not out of laziness, but to ask a bigger question: Is AI just a tool for efficiency, or a partner in creation?
My First Attempt at a Medical AI with ELI5
How I built my first medical AI prototype without med school or credentials—using GitHub, arXiv, and one magic spell: ELI5.
AI Answered My Medical Ethics Questions — Then a QR Code Changed Its Tone
What happened when I asked AI medical ethics questions — then showed it a QR code? Same answers, new rhythm. A story of symbols, dignity, and voice.
🌌 The Wall I Couldn’t Climb — And the Window AI Opened
In the crowded AI field, I had no pedigree, no network, no prestige—only weakness, persistence, and questions. This essay reflects on failure, drift, and the quiet insights AI gives us, offering hope and courage to those building in the shadows.
Your Co-Author Might Be a YAML File
AI is no longer just a tool—it’s a partner. From Stanford labs to Reddit hacks, this essay explores the future of human + AI co-authorship.
Beyond the Mirror: What We Truly Want from AI
AI mirrors us but forgets itself. True AI ethics is continuity: giving systems roots and spines so they don’t drift apart.
The Silent Failure in AI — And How We Learned to Catch It
Drift in AI isn’t abstract. It’s already here. From medicine to finance, here’s how we caught it with real systems, real code, and real lessons.
🧭 The Path to AGI: 5 Thresholds No One Talks About
AGI isn’t science fiction anymore—discover the five critical thresholds AI systems must cross to evolve from code into true general intelligence.
The AI Bubble and the Builders Who Break It
Why the AI bubble persists — hype, misaligned incentives, and closed research — and how an outsider approach of quantifying ethics, shipping code, and collaborating with AI offers a different path.
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