Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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I Built 2 Failed SaaS Products. Here’s What They Taught Me About Value in the Age of AI
After two failed SaaS products, I learned coding isn’t the real work. In the age of AI, developers must define value—customer, business, world, team, and self.
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.
🌌 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.
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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