SneerClub

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Hurling ordure at the TREACLES, especially those closely related to LessWrong.

AI-Industrial-Complex grift is fine as long as it sufficiently relates to the AI doom from the TREACLES. (Though TechTakes may be more suitable.)

This is sneer club, not debate club. Unless it's amusing debate.

[Especially don't debate the race scientists, if any sneak in - we ban and delete them as unsuitable for the server.]

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Race science blogger creates PedoAI, using phrenology to detect child molestors (www.uncorrelated.xyz)

submitted 1 month ago* (last edited 1 month ago) by [email protected] to c/[email protected]

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While this linear model's overall predictive accuracy barely outperformed random guessing,

I was tempted to write this up for Pivot but fuck giving that blog any sort of publicity.

the rest of the site is a stupendous assortment of a very small field of focus that made this ideal for sneerclub and not just techtakes

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[–] [email protected] 0 points 1 month ago (4 children)

Hashemi and Hall (2020) published research demonstrating that convolutional neural networks could distinguish between "criminal" and "non-criminal" facial images with a reported accuracy of 97% on their test set. While this paper was later retracted for ethical concerns rather than methodological flaws,

That's not really a sentence that should begin with "While", now, is it?

it highlighted the potential for facial analysis to extend beyond physical attributes into behavior prediction.

What the fuck is wrong with you?

[–] [email protected] 0 points 4 weeks ago (1 children)

What the fuck is wrong with you?

the blog tagline is "Dysgenics, forecasting, machine learning, sociology, physiognomy, IQ, simulations", so he tells us straight up what's wrong with him

[–] [email protected] 0 points 4 weeks ago

I hate being reminded that besides phrenology physiognomy is also a thing.

[–] [email protected] 0 points 4 weeks ago (1 children)

The implication here that it isnt methodically flawed is quite something.

[–] [email protected] 0 points 4 weeks ago (1 children)

about 3 in 100 americans are in prison, on parole, etc. so if that's the definition of a criminal, you would get 97% accuracy by just guessing not criminal every time

[–] [email protected] 0 points 4 weeks ago

Also an extremely good false positive rate

[–] [email protected] 0 points 1 month ago

it highlighted the potential for facial analysis to extend beyond physical attributes into behavior prediction.

bouba/kiki prison industrial complex

[–] [email protected] 0 points 1 month ago

Racist ideology predicted by a degenerated frontal lobe!

It's not related to their skull shape, they just have brain damage.