I have a feeling that a lot of this is also due to the competency gap.
Sure, you can write code, sure it works. It probably won't be memory efficient or secure though if you don't know what you are doing. Every time a language tries to smooth over the edges they end up creating massive problems for the future.
Ruby was considered the go-to for a while (I fucking hated ruby, and ruby on rails). Then the bug/exploit with the parser came out and basically everything in the world that used ruby/ror was fucked with a massive RCE and much of it no longer maintained or to be updated.
When you write your own shit in "lower level" languages you impact yourself. Not everyone in the world. Someone that knows more than me can probably tell me I am a moron or might agree with me but that is how I feel about the "fad of the year" languages.
Agree. I’ll take the advice of Steve Gibson. “I program in assembler, becoase it’s efficient to run, not to write, but it’s flawless when it works, zero dependencies, and after compiled, good luck unwinding” I’m paraphrasing lots of things I read he said.
But yeah. New is shit, old is boomer. Fuck off genz learn to code you bunch of soy sipping cock gobblers.
I have not seen any articles about people saying how good "AI number 5" is really good at converting code to ASM and making to so much faster and more memory efficient. That might be rather telling... Don't you think?
Exactly. The problem is it’s all basically script kiddies. This is how the exploits happen, chinks infiltrate code sites like GitHub and poison the code, tiny changes here and there, benign to the dipahits that can’t code, then build trust on other good code, and then slip in rogue code that no one is capable of debugging.
Xz Utils <<<<——- you are here.
This is likely rh case with millions of exploits just sitting in unchecked code.
The researchers that find it are good, can code. But they can’t look at every git repository and look for rogue shit. Maybe ai could help do that…. Doubtful
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