Anonymous ID: 1aea96 May 17, 2022, 11:24 p.m. No.16296443   🗄️.is đź”—kun   >>6523 >>6555 >>6585 >>6895 >>6911

I guarantee you that you already know everything you need to know and there’s a pretty solid chance you’ve already said everything you need to say.

 

Go out into the world and build stuff, make babies, edify your people, protect angry young men from their impotent (but justified) rage, protect young women from their bottomless (but justified) nihilism, find community, invest in community, grow community, viciously protect community, repent, get saved, worship, praise, honor.

 

This? This thing we’re doing? I love y’all… but, this ain’t it. Not anymore.

 

Not now.

 

Not ever again.

 

We’re not merely chroniclers of the downfall. That cannot be our ONLY aspiration… it’s certainly not mine.

 

We’re SURVIVORS of the downfall and we’re the PIONEERS of what follows.

 

Do not get stuck here. Man cannot survive on memes alone.

 

At some point—and I’d fervently argue that the time is now—we have to leave this all behind and rebuild the world we tried to save.

 

https://gab.com/josefbosch/posts/108307707182109706

Anonymous ID: 1aea96 May 17, 2022, 11:28 p.m. No.16296451   🗄️.is đź”—kun

Today I heard "Great Replacement Theory" on Austin terrestrial radio and the context of the conversation was two Boomers saying they had "never heard of this before"

 

Our Overlords are TRYING to use the Buffalo shooting as a means of silencing all talk of the Great Replacement Theory forever. Branding anyone who uses it from here on out as a "terrorist"

 

But what is ACTUALLY happening is lightbulbs are going off over people's heads all over the country

 

For years they witnessed a phenomenon sweeping America but they couldn't quite describe it and didn't know what to call it

 

Now they know. Now they have terminology for it

 

And now they know they aren't the only ones seeing it

 

https://gab.com/MrJoePrich/posts/108318456319599990

Anonymous ID: 1aea96 May 17, 2022, 11:35 p.m. No.16296469   🗄️.is đź”—kun   >>6478 >>6480 >>6481 >>6488 >>7130

Anyone who hates Jews just to hate Jews is stupid and low IQ. There is no reason to blindly hate Jews.

 

However, there are legitimate grievances against mass migration and anti white racism in this country that need to be addressed. And it is a fact that a lot of the mass migration in America is funded by Left wing Jewish groups. It is also a fact that George Soros, the largest donor to left wing communist causes around the world is Jewish. It is also a fact that many of the mainstream media CEOs are Jewish Democrats. And it is also a fact that expressing those concerns doesn’t make you a white supremacist.

 

I myself a Jewish American point these facts out, and I welcome the uncensored discussion that comes along with it.

 

Wanting closed borders is not a radical stance. Its not a white supremacist stance. Being worried about replacement theory is also not a radical stance. It’s a pro life and pro preservation stance. And it’s based on facts.

 

I don’t take anyone seriously who bashes Jews just to bash Jews. And when people make everything a Jewish conspiracy, they delegitimize actual sound arguments regarding immigration and demographic politics and the war on White people in America and the West.

 

The war on White people is VERY REAL.

 

https://gab.com/lauraloomer/posts/108303154693899110

Anonymous ID: 1aea96 May 17, 2022, 11:39 p.m. No.16296479   🗄️.is đź”—kun   >>6483 >>6489 >>6491 >>6503 >>6690 >>6796 >>6862 >>6972 >>7127

''[Is the use of 'AI can detect it, nobody knows how' a promising disclosure tactic?]

 

MIT, Harvard scientists find AI can recognize race from X-rays — and nobody knows how

15 MAY 2022

 

A doctor can’t tell if somebody is Black, Asian, or white, just by looking at their X-rays. But a computer can, according to a surprising new paper by an international team of scientists, including researchers at the Massachusetts Institute of Technology and Harvard Medical School.

 

The study found that an artificial intelligence program trained to read X-rays and CT scans could predict a person’s race with 90 percent accuracy. But the scientists who conducted the study say they have no idea how the computer figures it out.

 

“When my graduate students showed me some of the results that were in this paper, I actually thought it must be a mistake,” said Marzyeh Ghassemi, an MIT assistant professor of electrical engineering and computer science, and coauthor of the paper, which was published Wednesday in the medical journal The Lancet Digital Health. “I honestly thought my students were crazy when they told me.”

 

At a time when AI software is increasingly used to help doctors make diagnostic decisions, the research raises the unsettling prospect that AI-based diagnostic systems could unintentionally generate racially biased results. For example, an AI (with access to X-rays) could automatically recommend a particular course of treatment for all Black patients, whether or not it’s best for a specific person. Meanwhile, the patient’s human physician wouldn’t know that the AI based its diagnosis on racial data.

 

The research effort was born when the scientists noticed that an AI program for examining chest X-rays was more likely to miss signs of illness in Black patients. “We asked ourselves, how can that be if computers cannot tell the race of a person?” said Leo Anthony Celi, another coauthor and an associate professor at Harvard Medical School.

 

The research team, which included scientists from the United States, Canada, Australia, and Taiwan, first trained an AI system using standard data sets of X-rays and CT scans, where each image was labeled with the person’s race. The images came from different parts of the body, including the chest, hand, and spine. The diagnostic images examined by the computer contained no obvious markers of race, like skin color or hair texture.

 

Once the software had been shown large numbers of race-labeled images, it was then shown different sets of unlabeled images. The program was able to identify the race of people in the images with remarkable accuracy, often well above 90 percent. Even when images from people of the same size or age or gender were analyzed, the AI accurately distinguished between Black and white patients.

 

But how? Ghassemi and her colleagues remain baffled, but she suspects it has something to do with melanin, the pigment that determines skin color. Perhaps X-rays and CT scanners detect the higher melanin content of darker skin, and embed this information in the digital image in some fashion that human users have never noticed before. It’ll take a lot more research to be sure.

 

Could the test results amount to proof of innate differences between people of different races? Alan Goodman, a professor of biological anthropology at Hampshire College and coauthor of the book “Racism Not Race,” doesn’t think so. Goodman expressed skepticism about the paper’s conclusions and said he doubted other researchers will be able to reproduce the results. But even if they do, he thinks it’s all about geography, not race.

 

[Continued]

 

https://www.bostonglobe.com/2022/05/13/business/mit-harvard-scientists-find-ai-can-recognize-race-x-rays-nobody-knows-how/