With 3, especially if the animals outnumber humans, you’d first want to do some research into animal psychology to see whether red or blue has an edge for animals.
There’s a moral benefit to choosing blue if you think there’s a chance that the end result will be split 50-50 and you’ll be the deciding vote between a blue majority and a red majority.
If you’re using a model, it’s your responsibility to make sure the probability actually is that small. Realistically, you do that by not giving the model access to any of your bloody prod API keys.
I use stars to try and protect myself from dependency confusion attacks.
For example, let’s say I want to run some piece of software that I’ve heard about, and let’s say I trust that the software isn’t malware because of its reputation.
Most of the time, I’d be installing the software from somewhere that’s not GitHub. A lot of package managers will let anyone upload malware with a name that’s very similar to the software I’m looking for, designed to fool people like me. I need to defend against that. If I can find a GitHub repo that has a ton of stars, I can generally assume that it’s the software I’m looking for, and not a fake imitator, and I can therefore trust the installation instructions in its readme.
Except this is also not 100% safe, because as mentioned in TFA, stars can be bought.
Sure, I suppose that is one solution, but given that buying stars has been around for at least 5 years, and I have been aware of people faking stars for longer than that, I am not sure why you would rely on stars as a primary metric.
There are many other far more useful metrics to look at first, and to focus on first, and to think about. Every time you think about stars, you'll forget the other stuff, or discount it in favor of stars.
Forget stars. They now no longer mean anything. Even if they did before, they don't anymore.
In it they explicitly call it out as a ranking metric
> Many of GitHub's repository rankings depend on the number of stars a repository has. In addition, Explore GitHub shows popular repositories based on the number of stars they have.
Yet another case of metric -> target -> useless metric
That’s not something I wanted to imply. It can also stand for "the fine article". Is there a better shorthand for "the article linked at top of the page" / "the original article"?
I asked the author a while back. They said it purely relates to colour. Not other styles. Alas, they removed the issues and there is no record of that.
Joining on a list (as in function two()) is no more memory intensive than joining on a generator expression (function one()). This is surprising at first. Raymond Hettinger has a very good explanation.[0] In short, it's because "".join() needs to iterate over the elements twice, and so it needs to store the whole sequence of string anyway.
It's interesting that while the bookies unanimously have Brazil as favourites [0], this stock market game has Germany ahead of them [1]. It might be because Germany has easier opponents in the group stage.
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