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[–] 125 points 2 years ago (2 children)

37 is well represented. Proof that we've taught AI some of our own weird biases.

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  • [–] 43 points 2 years ago (7 children)

    What's special about 37? Just that it's prime or is there a superstition or pop culture reference I don't know?

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  • [–] 103 points 2 years ago (8 children)

    If you discount the pop-culture numbers (for us 7, 42, and 69) its the number most often chosen by people if you ask them for a random number between 1 and 100. It just seems the most random one to choose for a lot of people. Veritasium just did a video about it.

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  • [–] 28 points 2 years ago (1 child)

    37 is my favorite, because 3x7x37=777 (three sevens), and I think that's neat.

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  • [–] 2 points 2 years ago (2 children)

    Wrong. Two hints:

    7x7=9 at the end, not 7.

    30x30=900, already more than 777.

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  • [–] 18 points 2 years ago (2 children)

    ? My calculator definitely thinks that 3x7x37=777. Did you read it as 37x37 instead?

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  • [–] 12 points 2 years ago (2 children)
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  • [–] 5 points 2 years ago (1 child)

    I think you mean heinz 57 the steak sauce....

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  • [–] 2 points 2 years ago (1 child)

    Sorry but pop culture from were? I don’t recognize any of those numbers.

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  • [–] 11 points 2 years ago (1 child)

    Lucky number 7.

    42 is the meaning of life in The Hitchhikers Guide to the Galaxy.

    And 69...nice!

    I'm guessing this is for US and UK culture? Probably a lot of other former and current English colonies

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  • [–] 18 points 2 years ago* (1 child)

    Probably just because it's prime. It's just that humans are terrible at understanding the concept of randomness. A study by Theodore P. Hill showed that when tasked to pick a random number between 1 and 10, almost a third of the subjects (n was over 8500) picked 7. 10 was the least picked number (if you ditch the few idiots that picked 0).

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  • [–] 7 points 2 years ago (1 child)

    Maybe randomness is a label we slapped on shit we don't understand.

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  • [–] 9 points 2 years ago* (last edited 2 years ago) (2 children)

    I remember watching a lecture about probability, and the professor said that only quantum processes are really random, the rest of things that we call random is just the human inability to measure the variables that affects the random outcome. I'm an actuarie, and it's made me change the perspective on how I see and study random processes and how it made think on ways to influence the outcome of random processes.

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  • [–] 8 points 2 years ago*

    ...which is kind of a hilarious tautology, because "quantum processes" are by definition "processes that we are unable to decompose into more basic parts".

    The moment we learn about some more fundamental processes being the reason for a given process, it stops being "quantum" and the new ones become "it".

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  • [–] 5 points 2 years ago (1 child)

    Even quantum just appears random I think. it's beyond our scope of perspective, it works in multiple dimensions. we only see part of the process. That's my guess though it could be totally wrong

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  • [–] 4 points 2 years ago (3 children)

    it's a matter of interpretation, but generally the consensus is that quantum measurements are truly probabilistic (random), Bell proved that there can't be any hidden variables that influence the outcome

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  • [–] 4 points 2 years ago (1 child)

    Didn't Bell just put that up as a theory and it got proven somewhat recently by other researchers? The 2022 physics Nobel Prize was about disproving hidden variables and they titled their finding with the catchy phrase "the universe is not locally real".

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  • [–] 4 points 2 years ago (1 child)

    He proved it mathematically, but it was only recently confirmed experimentally

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  • [–] 3 points 2 years ago (1 child)

    I see, thanks for the insight!

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  • [–] 4 points 2 years ago

    No problem! Interpretations of quantum mechanics are also still very much under discussion, and Bell's inequality only says that there are no local hidden variables. While QM very accurately describes observations so far, it's by no means solved, and there's a good chance that a new theory will upend much of it in the future

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  • [–] 3 points 2 years ago* (1 child)

    My art professor wrote a book about famous artists and thinkers dying at 37: Raffaello, Parmigianino, Valentin de Boulogne, Cantarini, Watteau, Van Gogh, Toulouse-Lautrec, Tancredi, Gnoli, Manai, Majakovskij, Rimbaud, Byron, Mozart, Robespierre

    https://www.ibs.it/trentasette-mistero-del-genio-adolescente-libro-flavio-caroli/e/9788804734017

    Not a great book tbh.

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  • [–] 11 points 2 years ago (2 children)

    Why would that need to be proven? We're the sample data. It's implied.

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  • [–] 10 points 2 years ago (1 child)

    The correctness of the sampling process still needs a proof. Like this.

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  • [–] 7 points 2 years ago (1 child)

    What you've described would be like looking at a chart of various fluid boiling points at atmospheric pressure and being like "Wow, water boils at 100 C!" It would only be interesting if that somehow weren't the case.

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  • [–] 5 points 2 years ago (1 child)

    Where is the "Wow!" in this post? It states a fact, like "Water boils at 100C under 1 atm", and shows that the student (ChatGPT) has correctly reproduced the experiment.

    Why do you think schools keep teaching that "Water boils at 100C under 1 atm"? If it's so obvious, should they stop putting it on the test and failing those who say it boils at "69C, giggity"?

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  • [–] 4 points 2 years ago (1 child)

    Derek feeling the need to comment that the bias in the training data correlates with the bias of the corrected output of a commercial product just seemed really bizarre to me. Maybe it's got the same appeal as a zoo or something, I never really got into watching animals be animals in a zoo.

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  • [–] 3 points 2 years ago

    Hm? Watching animals be animals at a zoo, is a way better sampling of how animals are animals, than for example watching that wildlife "documentary" where they'd throw lemmings of a cliff "for dramatic effect" (a "commercially corrected bias"?).

    In this case, the "corrected output" is just 42, not 37, but as the temperature increases on the Y axis, we get a glimpse of internal biases, which actually let through other patterns of the training data, like the 37.

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  • [–] 6 points 2 years ago (2 children)

    "we don't need to prove the 2020 election was stolen, it's implied because trump had bigger crowds at his rallies!" -90% of trump supporters

    Another good example is the Monty Hall "paradox" where 99% of people are going to incorrectly tell you the chance is 50% because they took math and that's how it works.

    Just because something seems obvious to you doesn't mean it is correct. Always a good idea to test your hypothesis.

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