Behind the headline is a lot of quiet, repetitive work by people who rarely get credit for it.

Researchers stress that the training data shapes what a model knows, and local context is often thin.

Before you decide

Readers who wrote in described the same pattern again and again. Something small and convenient became part of the daily routine.

AI tools are good at producing fluent text. Fluent is not the same as correct, and the gap matters most on facts and numbers.

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An abstract illustration of artificial intelligence
An abstract illustration of artificial intelligence. Photo: Unsplash

The numbers

The best advice came from people who had already made the mistakes, and were happy to explain how to avoid them.

The numbers tell part of the story. The people behind them tell the rest, and they are usually more interesting.

Common mistakes

Treat an AI answer like a tip from a confident stranger: useful, sometimes brilliant, always worth checking.

AI tools are good at producing fluent text. Fluent is not the same as correct, and the gap matters most on facts and numbers.

An abstract illustration of artificial intelligence
An abstract illustration of artificial intelligence. Photo: Unsplash

The best advice came from people who had already made the mistakes, and were happy to explain how to avoid them.