Why AI always picks the number 7: bias or conspiracy

When you ask an AI for a random number, it almost always picks 7. An experiment with several systems reveals a pattern that says a lot about their training bias.

English · Original discussion in Spanish · Published

The curious AI bias: why they always pick 7

Ask any artificial intelligence to choose a number from 1 to 10 and, with alarming frequency, it will answer "7". It's not magic, nor synchronized intelligence; it's a mirror of our own biases. A casual experiment revealed that of six AI systems asked for a number from 1 to 100, four gave 73 (Sheldon Cooper's favorite, another geek cliché). When the range was narrowed (1-10), three out of three agreed on 7. The pattern is so repetitive it's unsettling, especially when AGI is sold as an evolutionary leap.

Statistics disguised as chance

There's nothing intelligent about the explanation. Large language models are trained on terabytes of the internet, where 7 appears as the "favorite number", "lucky number" or "magical number". There are also psychological studies showing that humans disproportionately choose 7 in small ranges. AIs don't invent: they calculate the probability of the sequence and spit out the most likely option. The result isn't randomness, but an average of what we've poured onto the web: flea-market numerology, memes and a bit of science fiction. The 73, for its part, is a nod to The Big Bang Theory.

What this says about AGI

If artificial general intelligence is based on predicting the next word, these failures reveal its limits. There's no understanding or chance: there's a statistical mirror of human culture. Every time an AI picks 7, it's reproducing a bias it should know about but cannot skip. Synchronicity isn't intelligence, it's an echo. And while the official narrative sells miracles, the reality is that the "intelligent assistant" remains trapped in the same clichés as any elevator conversation.

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Summary of a discussion on Burbuja.info - Foro de economía, actualidad y política., translated from Spanish and reviewed before publication. Read the full discussion (11 replies).

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