Articles
AI is moving fast, and so are the questions around privacy, security, cost, infrastructure, regulation and control. Here we examine the facts behind the decisions organisations face when they adopt AI. Each article takes one specific question and answers it with dated facts, named organisations, primary documents and reputable sources. No hype. No vague claims. Just evidence, context and practical analysis, so you can see what is changing, what it means for your organisation, and where AI belongs.
6 min read
A data-flow test anyone can run in ten minutes, the six arrows that usually cross the boundary without anybody deciding they should, and the precise version of the claim that is worth making.
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7 min read
Concurrent users are not employees. Capacity is decided by the model, the context length, the KV cache and the serving engine, and the vLLM project measured a case where the engine alone changed usable memory by an order of magnitude.
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6 min read
Residency is not privacy, and neither is compliance. What DORA Article 30 actually demands in writing, what a documented cloud service says about where processing happens, and why the answer is easier to give when the processing never leaves.
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7 min read
A date-by-date reading of what applies to an ordinary company today, what was extended by the AI Omnibus, and why moving a model onto your own server changes none of the classification.
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