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School of AI

AI Image and Video Tools: What They Can and Can't Do

What you'll be able to do
  • Explain in plain words how AI makes pictures and videos from text.
  • Write better image and video prompts.
  • Spot common signs of AI-made images and videos, and know the limits of spotting.
  • Check what a tool was trained on and what you're allowed to do with its output.
  • Understand labels, watermarks and Content Credentials.
  • Use these tools honestly, without fooling or harming anyone.
Words in this course 42Open the Vocabulary Hall
01

How AI makes pictures and videos

In simple words

Imagine someone who has looked at millions of pictures with labels like "red apple" or "sunny beach." Now you say "a red apple on a sunny beach," and they paint a brand-new picture from everything they've learned. That's an AI image tool.

Key facts
  • Image and video generators are trained on very large collections of pictures (or video) paired with text. When you type a description (a prompt), the model creates new pixels that match it. Many popular generators use a method called diffusion: they start from random noise and clean it up, step by step, into an image.
  • The output is new, but it reflects what the model was trained on, including its gaps and biases.
  • Not every AI does this. Claude, for example, is an image understanding model: it can read, describe and analyze images you upload, but it can't generate or edit images.
  • There are two main kinds of tools:
  • Generators: text (or an image) in, new image or video out.
  • AI features inside editors: remove a background, extend a photo, clean up audio, auto-caption.
Step by step
  1. Open an AI chat tool that accepts images (for example Claude) and pick a photo with no faces and nothing private.
  2. Attach the photo and type: "Describe this photo in detail." Read the answer and notice that the AI is understanding the picture, not making one.
  3. Open an image generator (names and menus differ by tool) and find the box where you type a prompt.
  4. Paste the description from step 2 into the prompt box and press the Generate button.
  5. Put the original photo and the new AI picture side by side.
  6. Check: you can name two things the AI got right and two things it changed or invented.
Watch on YouTube
How AI image generators work (Stable Diffusion and DALL-E)Computerphile · YouTube · youtube.com

Videos by other creators on YouTube, for reference. They are not made by or affiliated with The Future Market.

LESSON 01How AI makes pictures and videos
LESSON 01 / ANIMATED LESSON / AI VOICE00:00 / 01:00
Read the video script
[Host] "How does a computer paint a picture from words?"
[Screen: grid of labelled photos flashing by] "It studied a huge number of pictures with descriptions."
[Screen: noise slowly turning into an image of an apple on a beach] "Then, from your words, it builds a new image, often starting from noise and cleaning it up."
[Text on screen: Generates vs. understands] "Some AIs make images. Others, like Claude, read and explain images but don't make them."
[Host] "Know which kind of tool you're using before you start."
Try it now

Upload a photo to an AI chat (no faces, nothing private) and ask it to describe the photo in detail. Then use that description as a prompt in an image generator and compare the two pictures.

ClaudeStuck? Copy a ready-made prompt for Claude

Copy this, open Claude, paste it, and Claude will walk you through the lesson step by step.

For a grown-up: Claude is for adults (18+). Copy this, paste it into Claude, and use the answer to explain the lesson to your child.

I'm learning "AI Image and Video Tools: What They Can and Can't Do" on The Future Market. Lesson 1: "How AI makes pictures and videos".

What the lesson teaches:
- Image and video generators are trained on very large collections of pictures (or video) paired with text. When you type a description (a prompt), the model creates new pixels that match it. Many popular generators use a method called diffusion: they start from random noise and clean it up, step by step, into an image.
- The output is new, but it reflects what the model was trained on, including its gaps and biases.
- Not every AI does this. Claude, for example, is an image understanding model: it can read, describe and analyze images you upload, but it can't generate or edit images.
- There are two main kinds of tools:
- Generators: text (or an image) in, new image or video out.
- AI features inside editors: remove a background, extend a photo, clean up audio, auto-caption.

The exercise I'm working on:
Upload a photo to an AI chat (no faces, nothing private) and ask it to describe the photo in detail. Then use that description as a prompt in an image generator and compare the two pictures.

I'm stuck. Please:
1. Explain the main idea in plain, simple words with one everyday example.
2. Walk me through the exercise one small step at a time. Ask me what I've done so far before giving the next step.
3. Don't just give me the final answer. Help me do it myself, and check my work when I share it.
I'm a parent helping my child (about 8 years old) with a lesson called "How AI makes pictures and videos" from the course "AI Image and Video Tools: What They Can and Can't Do".

Here's what the lesson says:
Imagine someone who has looked at millions of pictures with labels like "red apple" or "sunny beach." Now you say "a red apple on a sunny beach," and they paint a brand-new picture from everything they've learned. That's an AI image tool.

The activity:
Upload a photo to an AI chat (no faces, nothing private) and ask it to describe the photo in detail. Then use that description as a prompt in an image generator and compare the two pictures.

Please explain this so an 8-year-old understands: short sentences, a fun everyday example, and no hard words.
Then give me 3 simple questions I can ask my child to check they understood, and a way to do the activity together, one tiny step at a time.
Open Claude
Sources
My notes
02

Prompting images and video

This lesson is part of full access: every course and every level for one payment.

03

What they still get wrong (and how to spot it)

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04

Training data, ownership and commercial use

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05

Labels, watermarks and Content Credentials

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06

Use them honestly

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++

Final project

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??

Quiz

  1. In simple words, what does diffusion do?

  2. Can Claude generate images?

  3. Name two signs an image might be AI-made.

  4. Does "it looks real" prove an image is real?

  5. What does Adobe say Firefly was trained on?

  6. What are Content Credentials?

  7. Does a missing AI label mean an image is real?

EX

Final exam

This lesson is part of full access: every course and every level for one payment.

CE

Certificate

This lesson is part of full access: every course and every level for one payment.