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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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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.
Open Source’s Critical Inflection Point and the 14,000,605-to-1 Survival Strategy
Open source isn’t dying and growing up. Why trust collapsed, forks emerged, AI changed the game, and what it will take to build a survivable open source future.
When AI Becomes a Toy
Why the Current AI Craze Was Inevitable — and Why It Cannot Be the Endgame
2026 CRM AI: From Seats to Service (Why Undo Beats IQ)
In 2026, CRM AI won’t be won by smarter models—but by Undo. This essay explores why enterprise adoption shifts from IQ to liability, how “Service as a Software” replaces SaaS, and why seatbelt layers decide who actually ships AI in production.
2026 AI Adoption from Miracle to Air
AI won’t go mainstream in 2026 because models get smarter. It’ll happen when AI becomes “air” - default, standardized, and liability-owned.
Built a SaaS in 30 Minutes? When “No-Code Hype” Meets the Operational Wall
Where no-code hype hits the operational wall: auth, billing, security, cost.
The Paper That Runs Itself: Why AI-Era Research Must Be Code-Native
Literate Programming, DevOps for Research, Research Infrastructure, Continuous Integration, AI Transparency, Scientific Publishing, arXiv Culture
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