Lesson 5 of 1234
Where Do AI's Examples Come From?
AI needs millions of examples. But where do those examples come from? The answer will surprise you.
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What this lesson covers
Learning path
The main moves in order
- 1The Giant Study Pile
- 2training data
- 3internet
- 4consent
Concept cluster
Terms to connect while reading
Section 1
The Giant Study Pile
To teach an AI, you need a huge pile of examples. Not hundreds. Not thousands. We are talking about billions of words, pictures, and sounds.
So where do people get all that? Mostly from the internet. Big AI companies scoop up websites, books, videos, and conversations to use as study material.
Common sources
- Websites and blogs
- Books that are free to read
- Wikipedia, the online encyclopedia
- Public videos and their captions
- News articles and magazines
Why this can be tricky
Sometimes the study pile includes things people did not mean to share with an AI. Maybe a person wrote a poem online for fun, and the AI used it as practice without asking. Many grownups think that is unfair, and they are still figuring out the rules.
“An AI knows what it has read. If it has never read something, it does not really know it.”
Bad examples make bad AI
- If the pile has mean messages, the AI might pick up mean habits
- If the pile is mostly in English, the AI will be worse at other languages
- If the pile is old, the AI may not know about recent events
Key terms in this lesson
The big idea: AI only knows what it has studied. The study pile is huge, but it is not perfect, and people are still working out the fairest way to build it.
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