Official curated learning paths
The rooms that go with the maths labs, from arrows on a grid to how a language model picks its next word. Play a warm-up before its lab, and the rest alongside it.

What Words as arrows builds on: why a computer needs words as numbers, when two arrows point the same way, subtracting one arrow from another, and analogies in plain words. About ten minutes.

What Chance machines builds on: a chance worked out by counting, why all the chances add up to 100%, and when to multiply chances and when to add them. About ten minutes.

What Machine learning 2 builds on: the logic gates again, what makes a neuron fire, what a feature is, and why a perfect score on practice questions can mislead. About ten minutes.

What Machine learning 1 builds on: what a labelled example is, how a score decides spam or not, what "training" actually changes, and why you keep some examples back. About ten minutes.
Tokens, parameters, attention, hallucination — the mechanics behind ChatGPT and every model like it, explained once so the vocabulary stops being intimidating.