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AI & Technology

Artificial Intelligence

Software that performs tasks normally requiring human judgement — recognising images, writing text, making predictions — by learning patterns from data rather than following hand-written rules.

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GPU

A processor designed to run many calculations in parallel, which makes it the workhorse for both AI training and crypto mining.

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Semiconductor

The chips that power every electronic device, produced in a small number of extraordinarily expensive fabrication plants.

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Data Centre

A facility full of servers that runs cloud services and AI workloads, consuming large amounts of electricity and water for cooling.

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Encryption

Scrambling data so only someone holding the right key can read it. End-to-end means not even the service carrying the message can.

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Inference

Running a trained model to get an answer, as opposed to training, which is the far more expensive process of building it.

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Parameters

The adjustable values inside a model that training tunes. Counts are quoted in billions as a rough proxy for capability.

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Large Language Model

A model trained on enormous amounts of text to predict what comes next, which in practice lets it answer questions, summarise, translate and write code.

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Generative AI

AI that produces new content — text, images, audio, video, code — rather than only classifying or predicting from existing data.

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