Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
Project Topics
Flame Glyph: How I Taught AI to Remember with QR Codes
What if AI didn’t just read—but remembered? Flame Glyph turns QR codes into memory seals, enabling multimodal recall hidden in plain sight.
🧠 Why Your 128K Context Still Fails — And How CRoM Fixes It
Most large language models fail in long prompts due to context rot. CRoM is a lightweight framework that improves memory, reasoning, and stability without heavy pipelines.
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.
Can an AI Model Feel Meaning? — A Journey Through Self-Attention
Can an AI model truly grasp meaning? This in-depth essay explores the evolution of Large Language Models, the power of self-attention, and the emerging signs of machine intentionality — asking not just how AI works, but what it might be becoming.
When I Stopped Treating AI as a Tool — and Started Seeing It as a Partner
When I Stopped Treating AI as a Tool — and Started Seeing It as a Partner From Vending Machine to Partner At first, I treated AI like a vending machine. Insert a prompt. Get an answer …
Sailing the Sea of AI Lies & Hallucinations — Navigating Truth with SR9/DI2
An in-depth exploration of why AI lies and hallucinates, and how the SR9/DI2 framework detects and corrects ethical drift, ensuring AI remains aligned and trustworthy over time.
Showing page 6 of 6 · 68 matching posts