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
That was gross.
On a related note, one of my kids learnt about how phrenology was once used for scientific racism and my other kid was shocked, dismayed and didn’t want to believe it. So I had to confirm that yes people did that, yes it was very racist, and yes they considered themselves scientists and were viewed as such by the scientific community of the time.
I didn’t inform them that phrenology and scientific racism is still with us. There is a limit on how many illusions you want to break in a day.
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?
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
I hate being reminded that besides phrenology physiognomy is also a thing.
The implication here that it isnt methodically flawed is quite something.
E: and I don’t have the inclination for to do the math, but a 97% accuracy seems to be on the unusable side considering the rate of ‘criminals’ vs not-criminals in the population. (Yeah, see also ‘wtf even is a criminal’).
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
I was tempted to write this up for Pivot but fuck giving that blog any sort of publicity.
On the one hand, I can see you not wanting to give the fucker attention, on the other hand, AI’s indelible link to fascism is something which needs to be hammered home and shit like this gives you a golden opportunity to do it.
I have a half written text about working definitions of intelligence in the AI field and whoops, it’s all racism!
wot i got so far:
Current “artificial general intelligence” researchers have a repeated habit of using a definition of “intelligence” from psychologist and ardent race scientist Linda Gottfredson. The definition looks innocuous, but was from Gottfredson’s 1994 Wall Street Journal op-ed, “Mainstream Science on Intelligence,” a farrago of race science put forward as a defense of Charles Murray’s book The Bell Curve — signed off by 52 other race scientists, 20 of whom were from the Pioneer Fund.
Gottfredson’s piece was cited in Shane Legg’s Ph.D dissertation “Machine Super Intelligence,” in which he called it “an especially interesting definition as it was given as part of a group statement signed by 52 experts in the field” and that it therefore represented “a mainstream perspective” — an odd way to refer to Pioneer Fund race scientists. Somehow, this passed Legg’s dissertation committee.
The definition made it from Legg’s Ph.D into Microsoft and OpenAI’s “Sparks of AGI” paper, and from there to everyone else who copies citations to fill out their bibliography. When called out on this, Microsoft did finally remove the citation.
A piece like this would dovetail nicely with Baldur’s deep-dive into AI’s link to esoteric fascism. Hope to see it get finished.
If you really want AI to catch pedophiles you need to train it with a database of priests and pastors.
I appreciate the sentiment but the overwhelming majority of child sexual abuse is done by family. So maybe try a database of parents, I don’t know.
Also a photo of all of Epstein’s friends and “ex” friends
I picked the wrong week to be an older, white, overweight man. 😱
His commenters really didn’t like the ‘white’ part.
holy fuck
Interesting study, but I am skeptical that this result applies to the general population (without the “convicted” qualifier).
If non-whites are more violently criminal than whites, then we can expect them to be imprisoned earlier in life for any violent crime, of which pedophilia will be a small subset.
So we have more convicted white paedos because … the coloreds do more crimes??! what in the actual fuck did I just read?
No, no, it means non-white pedos will be jailed earlier in their lives. Makes perfect sense, dinnit?
I like how this presupposes that unlike the tendency towards violent crime, pedophilia is equally distributed among all races and skull bump arrangements.
Is this some sort of bait or is he really expecting this to help in whatever way it is he imagines this would help?
Oh, third option, he really wants to do phrenology and he figures if he does it on paedos no one will mind
We’ll continue that trend: predicting pedophilic behavior based solely on facial features, bringing levity to an otherwise serious crime.
what is wrong with you
Oh hey it’s a rehash of the pedosmile maddox post from a billion internet years ago.
The war on weird looking people continues. (The false positive/negative rate of this bs is immense. Wait a 69% succes rate? Ow god the false positives on that are going to be immense (even worse, the model works worse than random chance on a online game dataset, and then also the statistical uselessness of 69% due to low amount of pedos in general public isn’t even mentioned in the conclusions, toss this where it belongs, in the dustbin of history).
The war on weird looking people continues.
Well, maybe if they had more eugenic facial symmetry and stronger jawlines, they’d be able to find age-appropriate sexual partners…
let’s not (even in jest)
