Listen: Both humans and AI return similar results when asked for a random number
A comparison of 200,000 random numbers provided by humans and Google's Gemma-2-2b-it model reveals significant overlaps and patterns in number selection.
Transcript
When you ask a human to pick a random number, they do not actually choose at random. But what happens when you ask artificial intelligence?
A recent experiment compared two hundred thousand random numbers chosen by humans against two hundred thousand numbers generated by Google’s Gemma AI model. The overlap between the two is incredible.
Of course, there are some unique outliers. Humans love pop culture favorites like forty-two and sixty-nine. The AI, behaving like a machine, frequently spit out one, ten, and one hundred, along with sequential digits like twenty-three and sixty-seven.
But beyond those quirks, the rest of the data is eerily aligned. Both humans and the AI share a fondness for the numbers two and seven. Even more fascinating is how closely they agree on the least random numbers. Multiples of ten, like twenty, thirty, forty, and eighty, are barely chosen by either.
This spooky alignment is likely because the AI's training data is filled with human patterns. When a machine tries to think of a random number, it ends up reflecting our very own human biases.