If you believe that compilation proves that the code is good, and that the only thing you should care about a program is if "it works", I don't think you're a great code reviewer.
And in any case, if the code you had experience with (and produced?) before AIs was stack overflow answers pasted together, it's not surprising that you don't see any worsening.
Btw, if your idea of LLMs is of something doing "mathematical approximation", you have some reading to do; and I won't say what I consider pretentious BS.
I believe that 2 programs that execute the same are of equal value, no matter the intentions of the person writing the code (or lack thereof). If you read the article, you'd probably know what I was referring to:
But at least we know that each line, as bad as it can be, was added by a human for a reason.
That's what immediately preceded the bit I quoted, and the entire point of my critique is that this author is treating human intention in coding as intrinsically valuable.
And rather than snark, I'd love if you actually explained why me calling LLMs "mathematical approximations" of their training data is inaccurate? They're literally weighted vector graphs of their training data.
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If you believe that compilation proves that the code is good, and that the only thing you should care about a program is if "it works", I don't think you're a great code reviewer.
And in any case, if the code you had experience with (and produced?) before AIs was stack overflow answers pasted together, it's not surprising that you don't see any worsening.
Btw, if your idea of LLMs is of something doing "mathematical approximation", you have some reading to do; and I won't say what I consider pretentious BS.
I think you're putting words in my mouth.
I believe that 2 programs that execute the same are of equal value, no matter the intentions of the person writing the code (or lack thereof). If you read the article, you'd probably know what I was referring to:
That's what immediately preceded the bit I quoted, and the entire point of my critique is that this author is treating human intention in coding as intrinsically valuable.
And rather than snark, I'd love if you actually explained why me calling LLMs "mathematical approximations" of their training data is inaccurate? They're literally weighted vector graphs of their training data.