Both humans and AI return similar results when asked for a random number

Veritasium asked 200,000 humans for a random number and we asked AI for 200,000 random numbers and the overlap is incredible!

Human Outliers

1. 69 and 42 as pop culture references
2. 37 and 73 because… actually see the video below, no spoilers.

AI Outliers

1. 1, 10, 100 (pretty expected from a machine learning model)
2. Sequential digits (e.g. 23, 67, 12, 98, 89, 78, 56 and 32)

The rest appears to be eerily aligned. We both like 2 and 7. But what I think is the most interesting part is the near-perfect alignment on least random numbers.

I mean just look at 20, 30, 40, 60, 70 and 80 for example:

This spooky alignment must be related to representation of numeric patterns in the model’s training data. We’ve reached out to Google for comment and Veritasium team in hope to get the raw dataset for a more accurate comparison. We will update this article once we get their response.

In the meantime enjoy this incredible video:

Our dataset was generated with Google’s Gemma-2-2b-it model is available for download here: