Any God Of War Fans Here

Content C Closed miku-chan03 opened this issue on 18 Oct 2017 2 comments miku-chan03 commented on 18 Oct 2017 Contributor Hii- I fixie wixied the JSON-api fucksy wucksie!!! xp I repwaced the Prototypes. func wiff a more -streamylined- kawaii Pwototypiee. funkywunks object that make the JS go sooper dooper fast!! XD starts twerking Can u pwease merge my pwull wequest senpai?!! UwU gaearon commented on 19 Oct 2017 Contributor what in the name of fuck gaearon closed this permanently on 19 Oct 2017

Content I had a problem so I thought to use Java Now I have a ProblemFactory

JavaScript's type coercion is like that friend who tries to help but makes everything worse. Look at this beautiful chaos: typeof NaN returns " number " because obviously not-a-number is totally a number! Loose equality says true==1 but strict equality says true===1 is false. Make up your mind! Floating point? 0.5+0.1==0.6 is true but 0.1+0.2==0.3 is false. IEEE 754 strikes again! Math.max() with no arguments gives -Infinity while Math.min() gives Infinity . Peak logic. The masterpiece: (1+[]+[]+![]) has length 9 because it converts to "1" + "" + "" + "false" = "1false" And my personal favorite: true+true+true===3 is actually true because JavaScript converts booleans to numbers for addition! No wonder the creator is smirking. He unleashed this beautiful monster on us and now we're all stuck with it. And we can't even escape because the entire web runs on it!

Content Me in 500 lines of code: EE Youtuber in 50 lines of code:

Ah yes, the sacred developer survival instinct! Just like checking for cars on a one-way street despite the rules saying they only come from one direction, a real developer never trusts the documentation, API specs, or that "perfectly working" legacy code. Sure, the function says it returns a string—but is it really a string or some unholy string-like object waiting to explode your production server? Trust issues aren't a bug in our profession—they're a feature!

The classic tech startup founder transformation arc, but make it AI. You start with that ambitious gleam in your eye thinking you're about to revolutionize machine learning. Then you dump your entire Series A funding into GPUs and cloud infrastructure because "we need compute power!" Next thing you know, you've automated every single position in your company including your own, because efficiency, right? The punchline? Your AI-powered product is so expensive to run that your target market can't even afford the subscription fees. Turns out training models on petabytes of data and running inference at scale costs slightly more than a Netflix subscription. Who knew that burning through millions in compute costs would make your pricing model look like a luxury yacht rental? The clown makeup progression perfectly captures the descent from "visionary entrepreneur" to "why is my AWS bill six figures this month?" The real kicker is realizing you've essentially built a very expensive solution looking for a problem that can actually pay for it.