When machines make mistakes
Language models are amazing, but they can be wrong.
They can say something that sounds very sure, but is not true.
We tested a real model, Qwen, on a famous old speech, the Gettysburg Address.
It guessed the next word right about 77 times out of 100.
And some of its mistakes were not really mistakes! Abraham Lincoln wrote the speech out five times, a little differently each time.
So check important things, and ask a grown-up you trust.
Your turn
Look at what Qwen guessed, and what Lincoln wrote. Then flip the safety cards.
Recorded Qwen measurement· Qwen3-8B-Base on the Gettysburg AddressLincoln wrote out his speech five times. When Qwen was "wrong", sometimes it said exactly what another copy says:
…ago our fathers brought forth ___
copy we checkedonQwen guesseduponNicolay copyupon ✓…a new nation, conceived in ___
copy we checkedLibertyQwen guessedlibertyNicolay copyliberty ✓…long endure. We are met ___
copy we checkedonQwen guessedhereHay copyhere ✓
Safety cards: tap to flip
Models can be wrong, so we always check.
Grown-up corner: the precise version
- sounding sure but wrong = hallucination
Teacher-forced top-1 recall of Qwen3-8B-Base on the Bliss copy of the Gettysburg Address was 76.9% (bfloat16). Of its 73 misses, 9 are the wording of another Lincoln manuscript (79.7% if any manuscript counts).
Labs also test models for dangerous abilities. OpenAI says GPT-6 Astra met its "critical" cybersecurity threshold, so it limited early access; Anthropic reports Claude Opus 5.5 is much less likely than recent models to take hard-to-reverse actions. These are the companies' own statements.