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This whole article about who can and can't detect AI writing is fascinating!
The average person essentially does no better than chance, but a panel of 5 people who use AI for writing every day got only 1 in 300 wrong.
The screenshot describes how they look at the writing differently.
I'm just leaving that here.
Also, don't forget the beautiful television clip of Feynman, the great communicator, being stumped by "fucking magnets, how do they work?". Fisher, the great statistician, tied himself in Gordian knots of motivated reasonig trying to deny the evidence that smoking is harmful.
The great heroes often weren't even that good.
the meta-issue here being: no heroes.
If we look at the majority of "great" scientists, they turn out to be (aside from white men) bad people.
- Feynman a misogynist (at the mildest definition of his actions)
- Fermi made plans to radioactively poison German civilians
- Fisher a racist and eugenicist (oh and he also didn't think smoking was bad for you)
- ... the list goes on
Glorifying and mythologizing scientists leads to intellectual blind spots where folks don't think critically about the other things those individuals did.
It also doesn't **add** anything to science by doing so. The "cute" stories in Feynman's books about him peeing upside-down, bongo drumming etc, aren't even really interesting, next time you hear one have a think about how you'd feel if it was told about someone you did yr undergrad with (insufferable roommate vibes).
This paper is nice and clear and was helpful in thinking about the undergraduate teaching materials I'm currently writing.
It's helpful to take the useful and conceptually clear stuff from old genetics and save some of the arcane terminology and notation for the historically interested.
https://doi.org/10.1093/genetics/iyae078
(Can't remember who recommended the paper on here. Thank you for doing so, forgotten benefactor!)
Mignon Fogarty
Large Heydon Collider
David Lawrence Miller