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Lesson 1 of 6

Read the hype

9 min read

“The world's smartest AI. Flawless. 10× faster.” Every launch sounds like magic. The skill isn't believing it or dismissing it — it's translating the pitch back into what the tool can actually do.

Spin has a grammar

Marketing language isn't random — it leans on a few repeatable moves. A superlative (“most powerful”) that names no rival. A benchmark score cherry-picked from the one test where the model wins. An absolute (“flawless”, “never wrong”) that no real system earns. A demo shown as if it were the everyday product. Spot the move and the claim shrinks to its true size.

A hype line is a technique in disguise. Name the technique and the claim deflates to its real size.

A capability is not a demo

The gap that fools people most is demo versus product. A launch video is the best single run the company could capture, often hand-picked from many tries — your Tuesday-afternoon result is the average, not the highlight. “Can” is doing a lot of work too: “can write an app” means it managed to once, not that it reliably will for you. Read “can” as “sometimes, under good conditions” and you'll be right more often.

“Can” means “managed to once”, not “reliably does”. A demo is the highlight reel, not the average.

Healthy skepticism isn't cynicism. New models really are improving fast — the goal is to size the claim, not reject it. Believe the direction; discount the superlatives.

A three-question filter

Before you act on any AI claim, run it through three quick questions. Who is the comparison against, and on what test? Is this a controlled demo or the shipping product I'll actually use? And what would failure look like — has anyone shown the misses, not just the wins? A claim that survives all three is worth taking seriously. Most marketing quietly fails at least one.

A launch claims a model is “10× faster — as you saw in the demo.” What's the most literacy-minded read?

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