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What is Generative AI?
Last updated · 1 min read
The family tree in one minute
AI — machines doing useful tasks → Machine learning — tasks learned from data instead of programmed rules → Deep learning — learning with large neural networks → Generative AI — networks large enough to create text, images, audio, video and code.
The LLM behind ChatGPT is generative AI for text. Midjourney is generative AI for images. Same principle — predict what a plausible continuation looks like — applied to different materials.
Where you already use it (maybe without knowing)
- Autocomplete and "smart replies" in email
- Photo enhancement on your phone (generative fill)
- The chatbot you tried last month
- Code completion like Copilot
- The summary at the top of a search result
The two things to hold onto
- It generates, it does not verify. Plausible output is the product — hallucination is a feature of how it works, not a bug someone forgot to fix.
- It is a collaborator, not an oracle. The people getting the most out of it treat it like a fast first-draft partner with infinite patience — and keep the judgment for themselves.
Frequently asked questions
- Is ChatGPT generative AI?
- Yes — ChatGPT generates new text in response to your prompts, which is the definition of generative AI. The image, music and video tools work the same way in their own medium.
- What is the difference between AI and generative AI?
- AI is the umbrella term for machines doing useful tasks. Generative AI is the subset that creates new content. Your email spam filter is AI but not generative; ChatGPT is both.
- Why did generative AI explode in 2022 and not earlier?
- Three curves crossed — vastly more data, vastly more computing power, and a simple interface (chat) on top of models that had quietly been improving for a decade. ChatGPT made it visible overnight.
New to AI? Start with the guides or browse the plain-language glossary.