Lesson 3 of 6
Spotting fakes
6 min read
You've heard the tricks: count the fingers, check the text, look for the too-smooth skin. Problem is, the models fixed all that — and the detectors meant to catch them keep getting it wrong.
Your eyes stopped working
For a while you could spot fakes by their mistakes. Models improved fast, and those tells are disappearing — a convincing AI image, voice, or video is now cheap to make. Trusting your eyes is exactly the instinct that gets people fooled by a good fake.
You can't reliably eyeball AI media anymore — and detectors only guess.
Detectors guess, and miss
So people reach for an "AI detector". But these tools output a probability, not proof, and they fail both ways: they flag real photos as fake (a false positive) and wave real fakes through as genuine (a false negative). Betting a reputation — or an accusation — on that number is a mistake.
A detector's score is a guess, wrong often enough that a verdict is never proof.
Never treat an "AI detector" result as proof, in either direction. A real photo can be flagged as fake, and a good fake can pass as real.
The gist
- —The old visual "tells" are vanishing — don't rely on spotting glitches.
- —AI detectors give a probability, not proof.
- —They fail both ways — flagging real media and missing fakes.
How reliable are "AI detectors" for images and video?
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