hissing meerkat

That’s because you’re the victim of a crime: extortion

Random word generator

Before you drive up to Minneapolis, there’s nothing to do there either. Walk/bike along/over the river is probably the best thing, and you can do that in Rochester too.

He was one month shy of his 16th birthday when he died. Now he’d have to wait a month or get his learner’s permit before being allowed to get killed by a car on an e-bike.

I don’t think HIPPA applies in Jerusalem.

It’s not a literature review. It’s a case report on a specific patient. It’s impossible to imagine writing a discussion of your own patient in this way, or to accept an approximately 5 page article without reading it.

The journal Radiology Case Reports is refereed by an editorial board led by University of Washington professors, associate professors, and doctors of medicine.

Radiology Case Reports is an open-access journal publishing exclusively case reports that feature diagnostic imaging. Categories in which case reports can be placed include the musculoskeletal system, spine, central nervous system, head and neck, cardiovascular, chest, gastrointestinal, genitourinary, multisystem, pediatric, emergency, women’s imaging, oncologic, normal variants, medical devices, foreign bodies, interventional radiology, nuclear medicine, molecular imaging, ultrasonography, imaging artifacts, forensic, anthropological, and medical-legal. Articles must be well-documented and include a review of the appropriate literature.

$550 - Article publishing charge for open access

10 days - Time to first decision

18 days - Review time

19 days - Submission to acceptance

80% - Acceptance rate

Based on what they’ve done in the past, they’re going to write it off on their taxes when though the titles aren’t even games that they own.

In terms of abilities, there’s problems other people can solve that I never will even with years of study and training, and there are problems I can solve that my immediate peers never would, even with years of study and training.

In terms off knowledge, everybody you meet knows something you don’t. (They might not have the ability to help you find what it is though)

In terms of skills, behaviors it seems like nobody ever considers trying and finding out for themselves, which is endemic across all levels of academia, government, business, and profession, and in that matter they are all as dumb as a bunch of rocks.

Jerusalem Post article

In response to the incident, National Security Minister Itamar Ben-Gvir criticized the transfer of humanitarian aid to Gaza.

“Today, it was proven that the transfer of humanitarian aid to Gaza while hostages are being held captive in the Gaza Strip is not only madness, but it also endangers the life of IDF soldiers.

“This is another reason why we must stop the transfer of aid. In truth, the aid only harms IDF soldiers and provides oxygen to Hamas,” he concluded.

https://m.jpost.com/breaking-news/article-789604

No. If you put them in order one after another you are not talking about the real numbers. There is no “next” real number and no possible way to visit them all one at a time like with the rationals.

No. In any interval of the real numbers there’s an uncountable infinity of real numbers. No matter how much you stretch the track any neighborhood, no matter how small, will need an infinite number of people in it.

Only the real cardinallity must. The integer cardinallity could have them spaced out enough that they won’t collapse.

For you to do this trolley problem you’d need to be outside the real track black hole so the question becomes: do you let a trolley go into a black hole or do you switch it to an infinite track that kills an infinite number of people?

Edit: in which case the black hole must be infinitely far away and you don’t even know about it. So: do you pull the switch to cause a trolley to start killing a seemingly infinite number of people? Which based on the other replies in this thread the answer is a resounding “yes”

Thanks. I’d never thought of an office surplus store.

Edit: The office surplus store here had 2 identical unremarkable shoddy used chairs for new shoddy chair price.

I have the bottom half of an unpleasantly upholstered office chair that I pulled out of a dumpster a quarter century ago. I would not recommend it, but it’s better than the loose crap I find every time I go chair shopping.

Universal basic income and universal healthcare so I (and everybody else) don’t have to worry about a job, being able to work, retirement, disability, and employers will have to offer meaning, increased quality of life, and actual respect to attract employees.

Whether or not you use downvotes doesn’t really matter.

If what you like is well represented by the Boba drinkers and the Boba drinkers disproportionally don’t like Cofee then Cofee will be disproportionally excluded from the top of your results. Unless you explore deeper the Cofee results will be pushed to the bottom of your results. And any that happen to come to the top will have arrived there from broad appeal and will have very little contribution to thinking you like Cofee.

If you don’t let the math effectively push things away that are disliked by the people who like similar things as you then everything will saturate at maximum appeal and the whole system does nothing.

There’s two problems. The first is that those other things you might like will be rated lower than things you appear to certainly like. That’s the “easy” problem and has solutions where a learning agent is forced to prefer exploring new options over sticking to preferences to some degree, but becomes difficult when you no longer know what is explored or unexplored due to some abstraction like dimension reduction or some practical limitation like a human can’t explore all of Lemmy like a robot in a maze.

The second is that you might have preferences that other people who like the same things you’ve already indicated a taste for tend to dislike. For example there may be other people who like both Boba and Cofee but people who like one or the other tend to dislike the other. If you happen to encounter Boba first then Cofee will be predicted to be disliked based on the overall preferences of people who agree with your Boba preference.

No, not as simply as that. That’s the basic idea of recommendation systems that were common in the 1990s. The algorithm requires a tremendous amount of dimensionality reduction to work at scale. In that simple description it would need a trillion weights to compare the preferences of a million users to a million other users. If you reduce it to some standard 100-1000ish dimensions of preference it becomes feasible, but at the low end only contains about as much information as your own choices about subscribed to or blocked communities (obviously it has a much lower barrier of entry).

There’s another important aspect of learning that the simple description leaves out, which is exploration. It will quickly start showing you things you reliably like, but won’t experiment with things it doesn’t know you’d like or not to find out.

Carbon Catch and Release

Phone assistants responding to you in the same volume of voice you used to address them.