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The foundation · Cards for the second degree of the Wise AI Ambassador

Wise AI Ambassador · Set 15 of 20

The foundation

Cards for the second degree of the Wise AI Ambassador

Explains how models learn and why they get things wrong, in plain language with no mathematics.

A card for each unit of the degree, with its idea, its exercise and its takeaway, and the gate's card at the end.

7cards
1min read

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  1. Degree 2 · The foundation1
    What is artificial intelligence?

    Not a mind, but patterns a machine has learned.

    Exercise

    Explain to someone in your family the difference between a calculator and a language model.

    Takeaway

    Call it by its real name, and you will handle it better.

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  2. Degree 2 · The foundation2
    How a machine learns

    A machine learns from its mistakes, millions of times.

    Exercise

    Draw this cycle by hand in four boxes, without a single equation.

    Takeaway

    What a machine learns is only as good as what it is fed.

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  3. Degree 2 · The foundation3
    Language models: how they “think”

    A model predicts the next word.

    Exercise

    Ask a model to finish the same sentence three times, and notice how the answers differ.

    Takeaway

    Fluency is no proof of being right.

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  4. Degree 2 · The foundation4
    Tokens, vectors and context

    To a machine, words are numbers with a direction.

    Exercise

    Give a model a long document, then ask it about the beginning and the end, and compare how accurate it is.

    Takeaway

    What falls out of the context window falls out of the model's memory.

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  5. Degree 2 · The foundation5
    Beyond text: image and sound

    Today a model sees, hears and speaks.

    Exercise

    Photograph a chart from your work, ask for an explanation, then check every number.

    Takeaway

    Every new medium is a new door for error too.

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  6. Degree 2 · The foundation6
    The machine's three limits

    Know where the machine stops.

    Exercise

    Ask a model for the source of a precise fact, and check: does the source really exist?

    Takeaway

    Confidence in the tone is not confidence in the fact.

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  7. Degree 2 · The foundation
    Gate 2 · The output

    A page that explains the machine

    What you do

    Write one page explaining how a model learns, and at least two ways it gets things wrong, with no equations.

    You have passed it

    When someone who is not a specialist reads it, then explains it back to you in their own words.

    Do not move on to the next degree before you pass this gate.
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