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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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Is MCP Really Dead? A History of AI Hype — Told Through the Rise and Fall of a Protocol
When a protocol doesn’t die — it just stops being interesting. A forensic look at MCP, OpenClaw, and the psychology of AI hype cycles.
The Pull Request Illusion: How AI Is Hollowing Out Software’s Last Line of Defense
GitHub Just Added a Switch to Turn Off Pull Requests. That’s Not a Feature. It’s a Warning.
AI Isn’t Killing Your Expertise. It’s Just Moving the Paywall.
Why ‘Writing Faster’ Is Worthless When Nobody Can Verify What’s True
The Real Risk in the Age of AI Coding Isn’t Bugs
Is your AI code production-ready or just 'AI Slop'? Learn how to detect convincingly empty code, measure Logic Density (LDR), and stop 'Vibe Coding' from becoming hidden technical debt.
When 4,800 GitHub Stars Taught Me to Distrust Popularity
Research reveals 6M fake GitHub stars manipulating trust. A 4,800-star repo taught me to look beyond popularity—here's my 5-minute trust test.
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.