How It Thinks
How a Neural Network Learns
Weights, errors and many small corrections: the basic way almost every modern AI system learns, explained without a single formula.
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How It Thinks
How modern AI models learn, store what they learn and produce answers — in plain language, without formulas.
How It Thinks
What a Large Language Model Actually Does
A plain explanation of how today's text-generating systems are built and trained, and why the way they work explains both their strengths and their mistakes.
How It Thinks
Generative AI Beyond Text
The same broad ideas that produce text now generate images and sound, predict protein shapes and forecast the weather. How the main approaches work.
How It Thinks
What Today's AI Does Well — and Where It Falls Short
A balanced look at current capabilities and limitations, using the vocabulary that standards bodies have adopted for describing trustworthy AI.