Browsing All posts tagged under »Implementation Physics«

When the Constraint Moved: A 2004 Paper, Three Charts, and the Question the Discourse Has Been Avoiding

May 7, 2026

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"Technology did not diminish because it became weaker. It diminished because the real constraint moved somewhere else." A 2004 paper meets the chart that now proves it.

Why Half of CEOs Believe Their Job Depends on Getting AI Right — And What the Discourse Keeps Missing

May 6, 2026

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AI Success Requires More Than Truth. It Demands Accuracy.

You Can’t Assess What You Can’t Access: The Power of Independent Longitudinal Verification

May 5, 2026

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"Incomplete assumptions don't disappear. They accumulate. And when the system scales, reality collects the debt."

A practitioner built the perfect AI Agent, now what is the “BUT”?

April 29, 2026

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She built an AI agent that hits every metric. That's exactly when the system around it starts to break.

Isn’t it time the Boardrooms and C-Suite knew what procurement has known all along?

January 14, 2026

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Why are AI initiatives running out of implementation success runway?

A Sneak Peek Excerpt from an Upcoming Paper

January 14, 2026

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AI doesn't fix misalignment — it detonates it. Welcome to the Exploding "D" phase.

RAM 2025 vs. Vibe-Coding — The Accuracy Gap

January 14, 2026

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Isn't it time we stopped using industry-standard guesswork and started using Implementation Physics to ensure success rather than hope for it? Meet RAM 2025 Multimodel Verification.

18 Years of New Year Insights: How One Thesis Predicted Every Transformation Failure

January 2, 2026

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Technology waves change. The failure pattern doesn't. An 18-year retrospective of one thesis that was never disproved.