Schadrach

let’s just make more trans people. Problem solved!

This is literally what right wingers accuse trans people trying to engage with kids in public of doing. Like trans story time, or trans teachers. That they’re going to trans their children, like it’s some kind of vampire curse.

Worst case you bail for a different instance, ideally one that doesn’t defederate if your goal is not to have content blocked from you.

No, your canaries are already long dead. It’s long been a process when Reddit admins don’t want a sub to exist but it isn’t actually breaking any rules to laser focus on the moderators, ban them the moment they have an excuse, immediately ban the sub for being unmoderated, refuse to give it to a new mod via reddit request and ban any replacement subs for recreating a banned sub. Hell, r/GamingCircleJerk has been laughing about some right wing gaming memes sub having that done to it just a few weeks ago.

They only care about it not looking like they are just nuking subs they don’t like is because they don’t want to scare off other users who might get antsy about having a community under those sorts of capricious admins.

This sounds a lot like an automation of that process that misfired. That they were all specifically banned for being “unmoderated” is what jumps out to me as telling.

“WELL I DON’T LIKE IT WHEN THEY WON’T HIRE WHITE PEOPLE WHO ARE MORE QUALIFIED”

The whole premise of equity is that there is a desired demography of people in a given position, and that positive action should be taken to approach or maintain the desired demography and that qualification, ability and merit are secondary to that. Meaning it doesn’t matter who is better, so long as someone is good enough and the right race or sex they should have preference. Don’t hire the best person, hire the best black person or woman or whatever the desired demographic is.

Most of the people who are angry about “DEI” would be fine with things like blind hiring that exclude race/sex from the process entirely but whether or not blind hiring is a valid DEI approach depends on the result - for example a public works department in Australia tried blind hiring to eliminate gender imbalance and killed that project because they found that not knowing the sex of applicants actually reduced the number of women hired which was opposed to the goal (because the goal wasn’t to remove discrimination but rather to hire more women).

They genuinely believe that white men are at a significant disadvantage in the workforce because DEI hires.

https://academic.oup.com/esr/article/38/3/337/6412759?login=false

We first note that out of 36 possible outcomes, 23 favour females, as indicated by callback gender ratios > 1. This is interesting, but due to the small sample for each occupation within each country, most of these outcomes are not significant by conventional standards (see right-hand column). In Germany, we find statistically significant hiring discrimination against male applicants for receptionist and store assistant jobs, with callback ratios of 1.4 and 1.9, respectively. In the Netherlands, we find evidence of hiring discrimination against male applicants for store assistant jobs, with a callback ratio of 2.2. In Spain, we find clear evidence of hiring discrimination of males in two occupations, with callback ratios of 1.9 (payroll clerk) and 4.5 (receptionist). In the United Kingdom, we find strong evidence of hiring discrimination against males in payroll clerk jobs (callback ratio of 4.8, the highest of all). Interestingly, in the data, we find no evidence of gender discrimination in hiring in Norway or the United States. Thus, the evidence shows hiring discrimination against male, not female, job applicants in 1–3 occupations within four of the six countries.

Based on country-specific regression models, Figure 1 (and Supplementary Table S2) shows the probability of receiving a callback separately for each country. According to these estimates, we find evidence of hiring discrimination against male applicants in United Kingdom, Spain, Germany, and the Netherlands. The gender differences range from 0 per cent in the US to 9 percentage points in Germany. Thus, we observe gender discrimination in hiring against men in four out of six countries.

It’s a reaction to a reporter at a NASCAR event hearing the crowd yell “Fuck Joe Biden” and pretending they said “Let’s Go Brandon” - they basically just ran with it. The entire connection between the two is a reporter openly lying about what a crowd was audibly yelling. This resonates hard with the sort of people who believe the mainstream media (meaning all major news media except the largest cable news network, of course) is extremely deceitful at every turn to protect a Democrat agenda.

That explains Trump’s problem with it. He can’t stand the idea he’d be the bottom.

Not that surprised. You have three options:

1. Make babies above the replacement rate. This tends to be hard to control/enforce in general.
2. Import lots of people from outside. This tends to cause cultural drift, reduced social trust and various kinds of other complications if you aren’t careful about it.
3. Have an aging and shrinking populace and with it tax base, GDP, and several other things that are pretty important at a national scale.

Since Trump is actively rejecting 2 and 3 is suicidal to a nation, that leaves 1 - promote people having kids above replacement rate.

Presuming there are still elections, this is basically calling for a general strike when it will have the most electoral weight. So, basically it comes down to whether or not you believe there will be another presidential election or if we’ll already be a fascist dictatorship by then.

Once had Optimum (the ISP) do this to a business I was working with. Just yeeted all their email accounts and their contents and all backups thereof one day. Declared it was because no user on the account was accessing their email via the webmail system so all the email was nuked for inactivity. IMAP and POP do not count, apparently.

Short version, do not use Optimum unless they are the only option, and if they are the only option seriously consider moving to fix that.

Yeah, but the key difference here is numbers. A man outstrips a woman of similar training at most of that stuff (testosterone is a hell of a drug), but the moment you have numbers on one side it changes things. It’s dramatically more difficult to protect yourself from multiple opponents and more opponents means a higher chance someone has some kind of weapon. So unless hypothetical rapey dude has a gun, it’s a very poor idea tactically.

Don’t worry, Trump is working hard to bring it back! Make Waterways Burn Again!

The big difference being that in the US you do not have a constitutional right to pop corn.

See, she belongs firmly on one of the lists of people Trump prefers to appoint:

1. Republicans with significant media presence, especially social media. Ideally ones who treat themselves like a brand.
2. People plausibly accused of being Russian assets.
3. Whoever wrote the relevant section of Project 2025.

The last one is totally by chance of course, since Trump doesn’t support Project 2025 and knows nothing about it and all. /s

Maybe she’s both?

f you can’t see everyone as equal then you are beneath us and need to be dealt with in the most severe method possible.

Does that mean you need to be dealt with in the most severe method possible, after all if you see them as beneath you then you clearly can’t see everyone as equal, by definition?

I actually know someone this happened to. Dad came home and midway through changing got a call from his father in law and went to go help him, leaving his concealed carry weapon on the nightstand. Toddler son got a hold of it and killed himself. On the day before his slightly older sister’s birthday.

Kid was buried on the property, within sight of the front porch. Mom demanded that and then couldn’t handle being there so they moved in with her folks for the next couple of years, and their living room was practically a shrine to the kid.

In parallel to what Hawk wrote, AI image generation is similar. The idea is that through training you essentially produce an equation (really a bunch of weighted nodes, but functionally they boil down to a complicated equation) that can recognize a thing (say dogs), and can measure the likelihood any given image contains dogs.

If you run this equation backwards, it can take any image and show you how to make it look more like dogs. Do this for other categories of things. Now you ask for a dog lying in front of a doghouse chewing on a bone, it generates some white noise (think “snow” on an old TV) and ask the math to make it look maximally like a dog, doghouse, bone and chewing at the same time, possibly repeating a few times until the results don’t get much more dog, doghouse, bone or chewing on another pass, and that’s your generated image.

The reason they have trouble with things like hands is because we have pictures of all kinds of hands at all kinds of scales in all kinds of positions and the model doesn’t have actual hands to compare to, just thousands upon thousands of pictures that say they contain hands to try figure out what a hand even is from statistical analysis of examples.

LLMs do something similar, but with words. They have a huge number of examples of writing, many of them tagged with descriptors, and are essentially piecing together an equation for what language looks like from statistical analysis of examples. The technique used for LLMs will never be anything more than a sufficiently advanced Chinese Room, not without serious alterations. That however doesn’t mean it can’t be useful.

For example, one could hypothetically amass a bunch of anonymized medical imaging including confirmed diagnoses and a bunch of healthy imaging and train a machine learning model to identify signs of disease and put priority flags and notes about detected potential diseases on the images to help expedite treatment when needed. After it’s seen a few thousand times as many images as a real medical professional will see in their entire career it would even likely be more accurate than humans.

99942 Apophis is scheduled to come visit for a near pass on Friday, April 13, 2029. It briefly held the highest rating of any object ever on the Torino scale when it was discovered 20 years ago. Another asteroid detected just last week is currently a Torino 3 but also won’t be here for 7 years and only has a 1.4% chance of striking Earth based on current observations.

Of course it is, what else would you expect from the controlled opposition party?

Valuing family is “pretend”.

https://slatestarcodex.com/2014/06/03/asches-to-asches/