computer-science
GPT Guesses Between 1 and 100
Key takeaways
- An interesting thing about humans is that they are not good random number generators.
- This project asks gpt-4.1 the same question 10,000 times and characterizes the distribution it produces, measured against a uniform baseline.
- Full design and methodology: docs/LLM Random Bias Experiment SDD.md.
An interesting thing about humans is that they are not good random number generators. If you ask a person to "pick a random number between 1 and 100", they are remarkably predictable. Answers cluster on 37 and 73, on "messy" numbers, and on memes like 42 and 69, while round numbers are quietly avoided. A true random generator would instead produce a flat, uniform distribution.
This project asks gpt-4.1 the same question 10,000 times and characterizes the distribution it produces, measured against a uniform baseline. Does an LLM, which is trained on human text, behave like a fair die, or does it inherit the lumpy human pattern?
Full design and methodology: docs/LLM Random Bias Experiment SDD.md.
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