Tutorials · Chapter A (1/4) · ~10 min
Why AI makes mistakes
Try it → see it → read → next
Confidence is a tone of voice — not a truth stamp.
Try yourself
Simulation game
Hallucination hunt
Stamp each claim: Trap or Trust. Confident voice ≠ true.
Quiz show
“Sydney is the capital of Australia.”
Canberra is the capital.
Recap
What you just did
You practiced catching hallucinations: outputs that sound polished and specific but aren’t grounded in reality — fake quotes, invented book titles, wrong dates, plausible APIs that don’t exist. You also brushed the wider family of misses: outdated knowledge, misread prompts, and overconfident guessing when the model should say “I’m not sure.” The scary part isn’t that AI fails; it’s that it often fails while sounding helpful.
Teach
How it works
See it
Confidence is a tone — verify before you act
The four causes in See it are the whole story: predicting words ≠ looking things up; the web is messy; models don’t blush; a prompt can trap them into inventing detail.
Real-world tape: last year’s museum hours said with confidence, a citation that 404s, a code method that never shipped. Detective habits: open the source, test one claim, get a second opinion, distrust ultra-specific numbers with no trail.
Use it
When you'd use this
- Health, money, legal, or safety decisions — verify outside the chat before you move.
- School essays — treat citations as suspects until checked.
- Anything you’ll paste to a boss or client under your name.
Watch out
Watch out
Tools with live search reduce some stale-fact errors; they don’t erase spin, bad sources, or creative fabrication in the drafting layer. Also, a wrong answer can still be partly useful (good outline, bad statistic) — edit, don’t worship.
Try next
Try this next
Ask any chat AI for a specific fact you’ll verify in 60 seconds (a local store’s Sunday hours, a public holiday date). Compare tone vs truth. Note the gap.