744 karma · joined May 8, 2008
I was flabbergasted for a moment thinking everything was AI generated. Even a bit scared, honestly.
I'm sure law enforcement in the US has a lot of problems, but this is pure nonsense. I'm really concerned about what it's going on in the US because if an article like this makes into HN, it means the situations is as bad as it seems.
Educating girls and empowering them on those countries also will make birth rates to decline faster.
This is happening in the part of the world where I live in.
Furthermore, the countries involved in this war are the biggest exporters of some crops and we could be facing global famines this very same year.
So, no.
The intuition behind doc2vec it's a bit harder to grasp. I understand the role of the "paragraph word": it provides context to the prediction so in "the ball hit the ---" in a basketball text the classifier would predict "rim" and in a football one "goalpost"(simplifying). But I still don't get why similar texts get similar latent representations.
I don't know if microbiology is special in some sense, but I have witnessed several times during my career cases of programmers turned into domain experts(in Logistics for example).
Obviously you don't became an MD that way, if that was your point.
Best of luck.
I mostly "solved" it by listening lots and lots of podcasts, but I can still remember googling the word "ossom" which a podcast host repeated every two or three sentences. I was puzzled to discover that he was actually saying "awesome", a word I definitely knew and I was familiar with.
I have another one. Why don't he spend 5 minutes making the content readable? Add some margins, it's all what it takes.
I can't find it right now but that's the kind attitude you would expect from Amazon. I guess what FB is going to do.
My point, which apparently it wasn't evident enough, is that you can get the most of the benefits by doing nothing, just trying a different Python implementation, without the hassle of learning a niche language, as easy as it might be.
BTW, if you take into account compilation times the difference is even meager, and in all fairness the PyPy warmup period should have had to be discounted.
Python doesn't need more features but better implementations, IMO.
Edit: Just remembered the Zen of Python, I don't think modern Python is following it.
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Simple is better than complex.
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Readability counts.
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There should be one-- and preferably only one --obvious way to do it.
I remember that in the early 00's people called it "executable pseudocode". I bet nobody would use now that expression for modern Python with decorators, comprehensions, walruses and the like.
Does it take into account negative reviews/comments? I have seen that Why we sleep is being recommended in the 6 months tab, but, while it was received with a lot of praise, it was soon critizised by others researchers in the field and I would expect that the HN crowd would have followed that trend.
And the problem with Stephenson is that's rarely succint so a bad book from him turns into a huge loss of time.
Furthermore, the effects of air pollution are more evident there so it's easier to sell the tradeoff, IMO(I know almost nothing about China, TBH).
There was an amazing blog entry which explained it, but can't find it right now.
Edit: I don't think this was the one I read, but it's similar. https://cryptologie.net/article/316/junipers-backdoor/
Basically, Dual EC was chained to another PRNG, so the output should have been robust to crypto vulnerabilities discovered in any of both. The thing is: the second one was never called, because the for's index(a global variable) was set to 32 inside a function call, so the loop never run.
And with good reason, trying to outbid each other doesn't make a great strategy to keep a Union.
I don't get why I'm downvited, btw.
But if I have the time(and the need), I'll try TeXmacs.