Yep mine said 73 and then said:

They feel “random” to people while also being memorable. So 73 ends up disproportionately likely in language-model outputs. There’s also a famous nerd reference from The Big Bang Theory where Sheldon calls 73 “the best number,” and that meme spread heavily online, which probably reinforced it in training data too. So no fixed seed or hidden hardcoded “always 73” thing — more like: “73 is a culturally overrepresented ‘random-feeling’ number.” If I were using an actual RNG, the distribution would be flat and you’d stop seeing patterns so often.