Generative AI: how neural networks create text, images and video

Generative AI means AI models that create new content - text, images, sound, music, video or code - from a description or an example.

Recognising AI versus generative AI

In plain words

Regular AI is like a judge at a drawing contest: it looks and says "that's a cat" or "that's a dog". Generative AI is like an artist who has studied millions of pictures and now draws a new cat to order: "ginger, in a spacesuit, on the Moon". It doesn't copy a finished drawing - it builds a new one from the patterns it learned.

How it works

The model is trained on huge collections of text, images, sound or video.
It learns what such data usually looks like and what it's made of.
You give it a prompt - a text description of what you want.
Language models write text word by word, while diffusion models "develop" an image out of noise.
The result is slightly different every time, even for the same request.

What generative AI can create

Where you'll see it

Chatbots (ChatGPT, Gemini, Claude), image and video generators, AI photo editing in smartphones (erase a random passer-by, extend the background), automatic summaries of notes and recordings, music and voice generation.

Does it matter when buying

For buying a smartphone - yes, if you're interested in these features: some run on the device and need a strong chip, others run in the cloud and may require a subscription. In everyday life remember two things: results need checking, and generated photos and voices can be used to deceive people.

Myths

Myth: Generative AI just glues together pieces of other people's work. Reality: It doesn't store or cut out ready-made fragments; it generates something new from learned patterns. That said, copyright questions around training such models are still debated.
Myth: Generated content is always true. Reality: Texts can contain invented facts, and photos can show events that never happened.

FAQ

How is generative AI different from regular AI?

Regular AI classifies and recognises; generative AI creates new things.

Can you tell a generated photo from a real one?

Not always by eye. AI content labels and attention to details - hands, text, shadows - help.

Can I use generated content in a school project?

It depends on your school's rules. Be honest that you used AI.