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
I think it should just look for a crucifix around their necks. Should be 95% effective.
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.
The post is using traditional orthodox frankincense scented machine learning techniques though, they aren’t just asking an LLM.
This is AI from when we were using it to decide if an image is of a dog or a cat, not how to best disenfranchise all creatives.
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.
I’m guessing that no one copied this guy’s science homework when he was at school.
Currently the comments section has one thread and you can probably guess what it’s about. (Hint: the post concludes something about the average SI pedophile)
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)
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
The implication here that it isnt methodically flawed is quite something.
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
Also an extremely good false positive rate
it highlighted the potential for facial analysis to extend beyond physical attributes into behavior prediction.
bouba/kiki prison industrial complex
Racist ideology predicted by a degenerated frontal lobe!
It’s not related to their skull shape, they just have brain damage.
(At the brainstorming session for terrible software names)
“PedoAI!”
PedophilAI
I picked the wrong week to be an older, white, overweight man. 😱
Don’t worry, the people who would go and accuse you of being a pedophile would do so with or without this tool. It would just give them faux legitimacy.
E: post + profile picture was a lol moment however.
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?
Is this some sort of bait or is he really expecting this to help in whatever way it is he imagines this would help?
Could be an SSC type situation: you write an interminable pretend research post in a superficially serious manner on an obviously flawed premise and let the algorithm help it find its audience of mostly people who won’t read it but will be left with the impression that the premise is at least defensible.
This will be made considerably easier once siskind puts it in his regular link roundup with a cheeky comment about how he doesn’t really truly endorse this sort of thing.
Really wonder if his own pictures are included in the training set (as negative examples, of course)
Yeah including people you dont like ‘accidentally’ is a big risk. Also per definition the data only includes known/convicted pedos.
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
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
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.
