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The resource library

Three routes to the same destination: understanding AI well enough to make your own decisions about it. Read, watch, or study, whichever suits how your brain works.

Not sure where to start?

Find yourself on this list

Tell us who you are and we'll point you at the right shelf.

"I know nothing about AI"

Start with What is AI, really? in the guides, then watch How machines learn. That's about fifteen minutes total, and it covers most of what people mean when they say "AI".

"I'm teaching this next week"

Head to the educator track in the guides for lesson-shaped material and discussion prompts, then grab a video to open the class with.

"I'm worried about my data"

Go to the ethics section of the guides. Data & privacy and AI bias cover what these systems collect, what they get wrong, and what you can actually do about it.

"I already get the basics"

Skip to the advanced guides for language models and computer vision, then move on to the free university courses. Some of them are genuinely excellent.

Also worth your time

Our blog

The resource library is the evergreen stuff: the concepts that don't change. The blog is where we cover what's happening right now: new tools, news worth understanding, and answers to questions people send in.

Evergreen

Resources

Concepts, explained once and kept up to date.

Timely

Blog

What changed this month and why it matters.

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New material goes up regularly

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