Lesson 1 said the model predicts what comes next rather than looking things up. This lesson is about what that means in practice. It is not a reason to avoid AI. It is a reason to know which of your questions it can answer from what you gave it, and which it might be answering from thin air.
| Kind of question | Where the answer comes from | What to do |
|---|---|---|
| Rewrite, summarise or explain text I pasted | Your text | Trust it; read it once |
| Plan, list, structure or brainstorm | Common patterns | Trust it; adjust to taste |
| A specific fact, number, date, price or quote | Memory of training text, which may be fuzzy | Verify against a real source |
| Anything legal, medical, tax or financial for your situation | General patterns, not your circumstances | Use as a starting point, then check with a person or an official page |
| Something recent, like this month's prices or news | Nothing, unless it searched the web | Ask whether it searched, and click the source |
Three signs an answer may be made up
- A very specific detail you did not give it. A name, a page number, a statute, an exact figure. Specificity feels like evidence but is easy to generate.
- A source you cannot open. A book title, a study or a web page that sounds right. Check that it exists before you repeat it.
- Confidence with no hedging on a question that deserves some. Real experts say "it depends" and "check the current page". So do the better AI answers.
Which would you trust?
You ask how much a ChatGPT Plus subscription costs right now. Which answer should you trust more?