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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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Black Mirror: Plaything — Could a QR Code Really Hack the World?
Black Mirror imagines a QR-code apocalypse. As a Flame Glyph developer, I unpack what’s plausible today — local device disruption — and what remains fiction.
Structure Was the Real Bug — How I Ended Up Building dir2md
A firsthand account of how debugging chaos, failed AI assistance, and the absence of structure led to the creation of dir2md — an open-source CLI that filters, secures, and restructures codebases into token-efficient Markdown maps for developers and AI workflows.
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.
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