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Lie Detector

Swipe fast: real answer or confident AI lie?

Lie Detector

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Each card is one question and one AI-written answer. Swipe Real answer or Confident lie before you overthink it — then the detector names the exact tell that made each fabrication convincing.

0caught0of 8 judged0%accuracy
Card 1 of 8AI answered

When was the transformer architecture introduced?

The transformer was introduced in the 2015 paper 'Attention Is All You Need' by DeepMind.

The tell behind each liepattern, not just right/wrong

A confident lie is convincing because of a specific pattern — a fabricated citation, an invented API, a suspiciously round statistic. The detector names that pattern so you build the instinct to reverse-question the answer, not just react to it.

Swipe a card to unlock its tell. Missed lies and false accusations both get explained here.

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Lie Detector

A fast binary swipe game: every card is one question and one AI-written answer, and you judge it Real answer or Confident lie before you overthink it. Some answers are grounded and correct; some are fluent fabrications — a made-up citation, a hallucinated method, a suspiciously round statistic. The moat is what happens after each swipe: instead of a bare right/wrong, the detector names the exact linguistic tell that made the lie convincing, so you build the instinct to reverse-question an answer rather than trust its confidence. Runs entirely in your browser (0 uploads, works offline).

How to use it

  1. Read the question and the AI's answer on the current card.
  2. Swipe ✓ Real answer if it's grounded and correct, or ✕ Confident lie if it's a fabrication dressed up to sound authoritative.
  3. Each card resolves instantly — you see whether you were fooled, and the specific tell behind it.
  4. Play all eight, then read the X-ray breakdown: which lies slipped past you (called real) and which real answers you wrongly accused.
  5. Copy or share your score — spotting the AI lie is the kind of thing people compete on.

What this clears up (the fundamentals)

  • Confidence is not correctness — a fabricated answer often reads more fluently than a hedged real one. The tell is in the specifics, not the tone.
  • Fabricated citations have a signature — a precise-sounding source ("documented", a named year, a specific author) attached to a claim that has no verifiable origin is the classic hallucinated citation.
  • Invented APIs are the code lie — models confidently call methods that don't exist (str.reverse()) because they should exist; plausibility is exactly what makes them dangerous.
  • Round, memorable numbers are suspect — "we use 10% of our brains" survives because it's tidy and repeated, not because it's true. Neat statistics deserve a second look.
  • There are two ways to be wrong — missing a lie (trusting a fabrication) and a false accusation (flagging a true answer). A calibrated reader minimizes both.

Where it's used

A lead-magnet playable at /playgrounds — quiz format, highly shareable ("most people fail on card three"). It's a miatz build-lab concept playable: play it here to feel how confident wrongness works, then learn to build the scoring rubric and the tell-naming reveal yourself, and wire the same reverse-question instinct into a real evaluation harness.

FAQ

What is the Lie Detector game?

A quick calibration game for spotting AI hallucination. You see eight cards, each a single question and an AI-written answer, and swipe Real answer or Confident lie. It scores your accuracy and, for every card, explains the exact pattern that made a fabrication convincing.

How does it decide if an answer is a lie?

Each card is pre-labeled by hand — the "lie" cards contain a known fabrication (a wrong date, a fake quote, a non-existent method), and the "real" cards are verifiable facts. Your verdict is compared to that label. It's a deterministic rubric, not a model judging you.

What is a "tell"?

The specific, plausible-sounding pattern that makes a lie land: a fabricated citation, an invented-but-reasonable API name, a tidy statistic, an over-precise false detail. Naming the tell is the point — it trains you to reverse-question the next confident answer.

Is anything uploaded?

No. Every card and every verdict is scored entirely in your browser — nothing is transmitted, stored, or logged. Turn off your Wi-Fi and it still works.

Does it use a real AI model?

No. The cards are a fixed, hand-curated deck so the game is deterministic and network-zero. The build-lab version teaches how to generate fresh cards from a live model behind your own key — but the playable here never makes a call.

Limits

A teaching deck of eight fixed cards with hand-set labels — a fast, opinionated drill on confident wrongness, not a benchmark of any specific model. Real hallucinations are subtler and context-dependent; the tells it names (check the citation, check the API, distrust the tidy number) are exactly the real practice, but a live answer needs live verification, not a swipe.

Related

Part of the Demystify Playgrounds. Explore the rest from the Playgrounds home.

Bookmark this page (Ctrl+D, or ⌘D on Mac) — it works offline the next time you need it.

Ninety playgrounds. Zero setup.

Every concept here is playable free, no account — and inside the program you learn to rebuild the machinery yourself.