Ibnovate Course 1 · The Young Builders
⏱ 60 minLive session

Session 13 — The AI That Creates

Duration: 60 min · Format: live online

What you'll learn: by the end, you can tell "sorting AI" from "creating AI," explain how generative AI guesses the next word, and name the rules for using it safely and kindly.

Soft skill focus — Curiosity

Today you'll also grow Curiosity. The best way to understand a guessing machine is to poke at it — ask why a word fit, and when the AI got confused.

Try this: during "Be the AI" and AutoDraw, keep asking "why did that word fit?" and "when did it guess wrong, and why?" — test the machine's limits instead of just accepting its output.

Think about: What is one question you want to ask an AI to see if it can be fooled?

What you'll need


Hook

Let's finish this out loud together (chat or unmute):

Notice that everyone made something new — nobody looked up the "right" answer, you created one. Today you'll meet an AI that does exactly this: it makes brand-new things from your words.


Teach — Two kinds of AI

Here's the key idea:

Look at this diagram and notice the difference:

On the left, classic AI sorts a picture into the label "Cat". On the right, generative AI turns a prompt into a brand-new picture

⚠ Watch for the safety point: it's easy to think "if the AI made it, it must be true." Remember this early — generative AI can be confidently wrong and just make things up. It creates; it does not check the facts. A grown-up or a real book still decides what's true.

Think about this: "Which one gives you a label, and which one gives you a new thing?"


Teach — How does it create? It guesses what's next!

Here's how it works: generative AI writes by guessing the most likely next word, again and again. Look at the diagram:

The sentence "The cat sat on the ___" with the AI guessing "mat" (60%), "rug" (25%), "floor" (10%), "moon" (5%)

Here's what's happening:

  1. It learned patterns from millions of sentences.
  2. So for "The cat sat on the…" it thinks "mat" is most likely, "moon" is unlikely.
  3. It picks a next word, then guesses the next, and the next — string enough together and you get a whole story.

The big thing to notice: pictures work the same way, but with tiny dots instead of words. It's all guessing what comes next from patterns.

Think about this: "If it's just guessing the next likely word, could it ever guess wrong and write something silly or untrue?" (Yes — that's why we always check. This mistake even has a name: a hallucination.)


Activity 1 — Be a generative AI (≈10 min, no computer)

Sit in a circle (or go around the chat). Build one story one word at a time — each person adds the next word that makes sense: "The… robot… ate… my…"

Activity 2 — Draw with AI (≈10 min)

Open AutoDraw. Try a scribble and watch the AI guess and finish the drawing.

Whether it's words or drawings, generative AI is guessing what comes next from the patterns it learned.


Check yourself

Try these questions:

  1. What does generative AI do that sorting AI doesn't? → It creates brand-new things (text, pictures, music) instead of just giving a label.
  2. How does an AI write a sentence? → By guessing the most likely next word, over and over.
  3. True or False: if the AI says it, it must be true.False — it can make things up (a hallucination). Always check with a grown-up or a real book.

Wrap-up


Tips & extra challenges

Vocabulary

Term Meaning
Generative AI AI that creates new things
Prompt The words you give the AI
Predict Guess what comes next
Hallucination When AI makes something up
Safe & kind Using AI responsibly

Resources

Practice set

Practise on your own — extra questions for class time or homework. Easy → hard. Answers are after the →.

  1. Sort or create? You show an AI a photo and it says "dog." Is that sorting AI or generating AI? → Sorting — it gave a label, it didn't make anything new.
  2. Sort or create? You type "draw a purple dinosaur eating pizza" and it makes a picture. Which kind is it? → Generating (creating) — words in, a brand-new picture out.
  3. Finish the guess. The AI reads "I poured milk on my…" — name a likely next word and a silly next word. → Likely: cereal. Silly: shoes / dragon (both possible, just far less likely from the patterns).
  4. Prompt drill (easy). Write a prompt asking an AI to make a short bedtime story about a brave turtle. → Example: "Write a short bedtime story about a brave turtle who saves his friends." (Any clear ask that names what to make.)
  5. Prompt drill (harder). Rewrite the vague prompt "make a poem" so it says what it's about, how long, and the mood. → Example: "Write a happy 4-line poem about a puppy learning to swim."
  6. Safe-use judgement. A chatbot writes that "penguins can fly to the moon." What do you do before you believe it? → Check it with a grown-up or a real book — the AI can be confidently wrong (a hallucination); it guesses, it doesn't fact-check.

Going deeper (optional)

Optional — for a curious group or a fast class.

Common mistakes & fixes

If it's not working, check these:

What's next

Session 14 — Prompt Power: learn the secret to getting amazing results from AI — how to ask a clear, specific question.

Ibnovate · Build · Innovate
Type to search · Esc to close
Welcome back
Sign in to continue building.
Accounts are created by Ibnovate — ask your instructor for your login.
🔒