TL;DR Schrödinger’s cat and AI work together as a metaphor for unresolved uncertainty, not as an explanation of quantum computing. A language model selects an output from computational probabilities. That

Continue ReadingSchrödinger’s Cat and AI: Plausible Is Not Proven

TL;DR AI agent verification should improve the next decision, not simply produce more tool calls. Select diagnostics that distinguish plausible explanations, enforce access and resource limits outside the model, and

Continue ReadingAI Agents Should Verify Before They Act

TL;DR AI generalization is not demonstrated by reproducing familiar answers on unfamiliar ticket numbers. A useful model should preserve its recommendation when irrelevant details change, reconsider it when relevant evidence

Continue ReadingAI Generalization: Did Your Model Learn the Right Pattern?

TL;DR The image presents VMware Cloud Foundation 9.1 as a massive engine that accepts business requirements and produces governed digital worlds. That metaphor is useful when it is interpreted operationally.

Continue ReadingVMware Cloud Foundation 9.1 as a Digital Civilization Engine: Build the Platform, Govern the Universe

TL;DR Enterprise RAG citation controls must establish more than whether a reference opens. Connect material claims to authorized, versioned evidence; preserve the conditions that make the evidence applicable; and let

Continue ReadingA Citation Is Not Proof: Building an Evidence and Disclosure Control Layer

TL;DR RAG retrieval permissions must reflect the effective requester, the application’s approved scope, and the restrictions on the requested content. A valid login establishes identity. A working service account establishes

Continue ReadingRetrieval Permissions Must Follow the User, Not the Service Account

TL;DR The image presents VMware Cloud Foundation 9.1 as a “reality compiler,” a useful mental model for understanding how a private cloud should translate business intent into repeatable operational outcomes.

Continue ReadingVCF 9.1 as a Reality Compiler: Turning Business Intent into Operational Reality

TL;DR An AI agent should not receive production authority because it succeeded in a demonstration or scored well on a general benchmark. Before an agent can change infrastructure, approve transactions,

Continue ReadingRehearse Before You Automate: Why AI Agents Should Practice Before They Act