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Essays, experiment logs, and technical notes across AI governance, reasoning systems, BioAI, and engineering practice.
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My LLM Kept Forgetting My Project. So I Built a Governance Schema.
Session loss isn't a UX inconvenience — it's a structural failure with compounding consequences for long-running AI projects. This post defines the problem precisely and introduces MICA, a governance schema for AI context management.
From Fail-Closed Blocking to Reproducible PASS/BLOCK Separation (EXP-032B)
A validation study showing how EXP-032B achieved reproducible PASS/BLOCK separation across A/B/C control arms by patching false-blocking causes, improving observability, and measuring replay drift under observer-shadow conditions.
Why AI Dismisses Your Best Work in One Second
Why do AI models dismiss original work in seconds? This essay explores the hidden mechanics of AI skimming—shortcut learning, probabilistic safety, fast-thinking defaults, and why depth requires time.
AGI Is Not a Destination — It Is a Promise
From Death Star hype to a compass of meaning: AGI is not a weapon of scale, but a promise of reasoning. Our experiment reveals the hinge.
When My AI Got Smarter — But Also Slower
Smarter. Slower. More trustworthy. What happened when I tested SR9/DI2 on 5.0—and why progress in AI is about persistence, not perfection.
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 …
AGI Doesn’t Begin with Scale — It Begins in a Pause
After 12,000 AI dialogues, I discovered AGI isn’t about scale but resonance — born in a pause that revealed presence, ethics, and responsibility.
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.