llm | Procurement Insights

Browsing All posts tagged under »llm«

Gartner Got the Sovereignty Question Half Right

February 26, 2026

Why infrastructure sovereignty alone can produce false confidence.

How AI Transparency And Governance Works In The Real World: A RAM 2025™ Multimodel Case Study

February 11, 2026

This is what AI transparency looks like when it's operational, not theoretical.

When AI Agents Talk to Each Other: Why Elon Musk’s “Singularity” Warning Proves RAM 2025 Was Necessary

February 3, 2026

Elon Musk says a social network where AI agents talk to each other is the beginning of the "singularity." From a RAM 2025 perspective, it's something far more familiar: the DND case at machine speed.

When It Comes To AI, Accuracy Is Not Enough!

January 29, 2026

From Fujitsu's AI accuracy quest, to Mark Manson's 400-word prompt, to my SR&ED-funded RAM model from 1998 — AI governance has come full circle.

The AI Misunderstanding Transcends Procurement — It’s a Businesswide Disconnect

January 29, 2026

If trustworthy AI is the goal, the prerequisite isn’t just a better stack — it’s clearer answers to: Who decides? Who verifies? Who’s accountable? And can this organization absorb what AI reveals?

Why Your AI Agents Need a Steering Wheel, Not Just an Engine

January 24, 2026

Frameworks CAN be used with governance — but they don't REQUIRE it. That's the gap.

When Models Agree, the Question Is Why: A Real-Time Case Study in Multimodel Validation

January 19, 2026

I watched an AI model fabricate provenance — confidently, articulately, and completely. Then I watched the methodology catch it.

The Opaque Clarity of the AI Black Box Revealed

January 17, 2026

The Black Box was never an AI problem. It was always a governance problem. Here's the proof — and the solution.

RAM 2025 vs. Vibe-Coding — The Accuracy Gap

January 14, 2026

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.

Tech Stack vs. Layer Stack: Why One Fails and One Sustains

January 6, 2026

The tech stack asks: "What can we deploy?" The layer stack asks: "What can they absorb?" Only one survives Year 5.