Category: Artificial Intelligence
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Most AI models are trained primarily on English text. This isn’t a secret — it’s a consequence of the internet being roughly 60% English by content volume. When you use a cloud AI service in any other language, you’re using a model that learned your language as a second language. It works. But it works…
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Every major AI product in 2026 runs on the same business model: you pay monthly, your data goes to their servers, and if you stop paying, the AI disappears. Your history, your workflows, your custom instructions — gone. You were renting intelligence, and the lease just expired. This model works beautifully for AI providers. Recurring…
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Accountants don’t need AI to be impressive. They need it to be useful — and private. The daily reality of an accounting office involves a specific set of repetitive, high-stakes tasks: drafting client correspondence about tax obligations, summarising regulatory changes, preparing explanatory notes for annual reports, and answering the same twenty questions from clients every…
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There’s a reason enterprise AI has traditionally required server rooms. A typical large language model — the kind that powers ChatGPT or Claude — has billions of parameters. Each parameter is stored as a number. At full precision, a 14-billion-parameter model needs roughly 28 gigabytes of memory just to load. Running it requires even more.…
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Most businesses adopted AI the same way they adopted email — without thinking about where the data actually goes. When you type a client contract into ChatGPT, that text travels from your office to a data center on another continent. It gets processed on servers owned by a company you’ve never met, in a jurisdiction…
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