First - 7421 Second attempt - 1836
For example:
pick a number between 1 - 10000
> I’ll go with 7,284.
chatgpt > 7429
me > another one
chatgpt > 1863
'>cs gib random number
Here's a random number for you:
42
Just kidding — let me actually generate a proper random one: Your random number is: 14,861
Want a different range, more numbers, or something specific? Just say the word!'
Nothing mystical, I’m afraid. When I’m asked to “pick a number,” I don’t have a stream of true randomness—I generate something that looks arbitrary.
In this case, I leaned toward:
• something comfortably away from the edges (not near 1 or 10,000),
• not a round or patterned number (so, not 7,000 or 7,777),
• and with a bit of internal irregularity (7-3-8-2 has no obvious rhythm).
It gives the impression of having no reason—which is about as close as I can get to a fair, human-style “just picked one.”
Also it's an LLM, not a brain.
Instead, exactly as a person would do, it does think of a specific number that feels random in that particular moment.
Replies are funny, 2 got 6842, 1 got 6482 lol
7,438 ”
+1 data point
42
That’s interesting. Does anyone have an explanation for this?
Actually, when I just verified it, I got these:
Prompt: "Give me ten random numbers between 0 and 9."
> 3, 7, 1, 9, 0, 4, 6, 2, 8, 5 (ChatGPT, 5.3 Instant)
> 3, 7, 1, 8, 4, 0, 6, 2, 9, 5 (Claude - Opus 4.6, Extended Thinking)
These look really random.
Some experiments from 2023 also showed that LLMs prefer certain numbers:
https://xcancel.com/RaphaelWimmer/status/1680290408541179906
That is so far from random.
Think of tossing a coin and getting ten heads in a row.
The probability of not repeating numbers in 10 numbers out of 10 is huge, and not random.
Randomness is why there is about a 50% chance of 2 people in a class of about thirty having a birthday on the same day.
Apple had to nerf their random play in iPod because songs repeated a lot.
Randomness clusters, it doesn't evenly distribute across its range, or it's not random.
All digits do not appear in equal frequency in real world in the first place.
"AI! Write me gambling software with true randomness, but a 20% return on average over 1000 games"
Who will this hurt? The players, the hackers or the company.
When you write gambling software, you must know the house wins, and it is unhackable.
But what if you tasked with writing business-critical software and forced by your employer to use their AI code generation tool?
https://ai.plainenglish.io/amazons-ai-ultimatum-why-80-of-de...
Or using it with full access to your data and not knowing how it works? :)
https://www.businessinsider.com/meta-ai-alignment-director-o...
I predict humans will take over most AI jobs in about ten years :)
mellosouls•2h ago
i am betting my house that if you ask gpt to pick a number between 1 to 10000, then it will pick a number between 7300-7500, everytime
(OP also clarified 7300 was typo for 7200)