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It's the same "brain", starting from exactly the same prompt, the same context, which means the same thoughts, the same identity... How do you expect it to produce different values?
https://chatgpt.com/share/69be3eeb-4f78-8002-b1a1-c7a0462cd2... First - 7421 Second attempt - 1836
when you make a program that has a random seed, many LLMs choose 42 as the seed value rather than zero. A nice nod to Hitchhikers’
"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.
Earlier quoted context omitted.
By emitting a next token distribution with a 10% chance of 0, 10% chance of 1, etc. Also it's an LLM, not a brain.
Interesting. So you expect it to "not think" and simply produce a value corresponding to "it's the same to me", knowing that it will be translated into an actual random value. Instead, exactly as a person would do, it does think of a specific number that feels random in that particular moment.
It's the same "brain", starting from exactly the same prompt, the same context, which means the same thoughts, the same identity... How do you expect it to produce different values?
The prompt doesn't say to pick a random number. I asked to pick a number from 1-1000 and it chose 7,381. Then I asked why it picked that number and it said 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…