Monthly Archives: May 2026

A Stress Diagram Cannot Be Scraped

Frontier models are becoming interchangeable; the differentiator is context. In industrial manufacturing, the real moat is connecting physical test signals, structured lab data, and cross-system workflow agents that turn measurements into decisions. The winners will pair AI capability with deep domain expertise and the operational wiring that models can’t replace. Continue reading

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Magnifica Humanitas: The Pope Just Audited the AI Industry

Read as an audit, Pope Leo XIV’s first encyclical lands three critiques the AI industry already knows but rarely admits: frontier systems are cultivated more than engineered, alignment can’t stay a closed in-lab project, and AI has a very real human supply chain. For practitioners, it’s less sermon than board memo—and it comes with regulatory deadlines and due-diligence consequences. Continue reading

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Buy the Workflow, not the Agent

If you are buying an agent platform in 2026, you are buying a rebuild in 2027. A few early indicators paint the following picture: The agent is not the problem; the architecture around it is. An agent has three things … Continue reading

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The Regulator nobody lobbied against

The AI industry spends big on lobbying. OpenAI’s CEO personally argued against safety regulations and transparency requirements. The industry’s message was consistent. Regulation will kill innovation. A patchwork of state laws will fragment compliance. Let us self-regulate. They possibly were … Continue reading

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