I am not so sure on that. They raise inflation, home prices, etc. The locals see no real benefit except having to pay more for everything. While more taxes are collected, most of that goes to offsetting just some of the economic pain induced by the people living there.
and it is in fact zero sum. every spot filled in university or company is a spot not taken by a local, as its obvious by the numbers, more local people are not getting admitted into CS programs nor are they being hired. its 100% zero sum when we are looking at these numbers and %s.
I wasn't being literal when I said 'who wants to live that way' as in to mean every single person with no exceptions. yes, Locked-in syndrome is a thing. its not healthy but hey, you do you.
the point was not to get into a mask debate but "In other countries it's conventional to wear a mask any time you're remotely sick" should ring as BS to you, because those countries have flu and cold just like any other country.
AND if you ask them, they don't do it to prevent others from getting sick (not that that works unless you are gasping air through an n95), but they do it to protect themselves. This is especially true in China where there is also air pollution to consider.
I disagree with the premises outright. I have no intention of causing no harm to anyone. Just by living, we cause harm to others and other beings.
I am going to say things to other people and that is going to make them upset, that is ok. They are going to say things that make me upset, that is ok.
Someone is going to give me a cold, flu, etc. and that is ok. They didn't have to do it, they could have stayed inside for weeks until they were sure they were not sick, but who wants to live that way?
There is a level of harm in anything that that a living thing does.
I have found that embeddings + LLM is very successful. I'm going to make the words up as to not yield my work publicly, but I had to classify something into 3 categories. I asked a simple llm to label it, it was 95% accurate. taking the min distance from the word embeddings to the mean category embeddings was about 96%. When I gave gave the LLM the embedding prediction, the LLM was 98% accurate.
There were issues an embedding model might not do well on where as the LLM could handle. for example: These were camel case words, like WoodPecker, AquafinaBottle, and WoodStock (I changed the words to not reveal private data).
WoodPecker and WoodStock would end up with close embedding values because the word Wood dominated the embedding values, but these were supposed to go into 2 different categories.
actually, that's what makes chat gpt powerful. I like an LLM willing to go along with what ever I am trying to do, because one day I might be coding, and another day I might be just trying to role play, write a book, what ever.
I really cant understand what you were expecting, a tool works with how you use it, if you smack a hammer into your face, don't complain about a bloody nose. maybe dont do like that?
I struggle with the idea of monetization. In one sense, I think its great people can get paid for doing what they like to do and it can encourage more content creation. On the other hand, everything becomes disingenuous, people become perversely incentivized, you got people gluing things to turtles to make videos of them rescuing turtles with 'lichens' on their shells.
So I don't know, I am really torn on how I should feel about it
I use to get the flu 1 or 2 times a year. I started going out in more crowded areas, going to pub, etc, and I haven't had a cold or flu in 4 years.
I don't know the article knows as much as they think they do about health, because using muscles also damages them. I been nursing a bicep injury for the last 4 months.
I get its not a prefect analogy, but nothing is, else it would be the same thing
I don't think people should go licking railings, but total avoidance of germs is quite harmful. that's a fact.
yeah, they expand faster at first and slow down afterwards until something else happens.
I was looking at the ocean floor and using smooth ocean floor as 'fast moving' and rough ocean floor as 'slow moving'.
South America is moving 3 cm / year. using that with the ocean floors and some guestimation,,, between 120 and 113 m years ago SA moved about 12 cm / year and slowed down to 3 betwen 113 m years ago and now. Assuming no movement from Africa
and it is in fact zero sum. every spot filled in university or company is a spot not taken by a local, as its obvious by the numbers, more local people are not getting admitted into CS programs nor are they being hired. its 100% zero sum when we are looking at these numbers and %s.