The author of this article is hilarious. Here are some choice quotes:
>At one point, we wanted a command that would print a hundred random lines from a dictionary file. I thought about the problem for a few minutes, and, when thinking failed, tried Googling. I made some false starts using what I could gather, and while I did my thing—programming—Ben told GPT-4 what he wanted and got code that ran perfectly.
How the fuck does that take you multiple attempts, require you to Google shit, and then eventually take so long that your incrementally less r-slurred friend has to get ChatGPT to do it?
>when I was in high school I went to the Borders bookstore in the Short Hills mall and bought “Beginning Visual C++,” by Ivor Horton. It ran to twelve hundred pages—my first grimoire. Like many tutorials, it was easy at first and then, suddenly, it wasn't. Medieval students called the moment at which casual learners fail the pons asinorum, or “bridge of asses.” The term was inspired by Proposition 5 of Euclid's Elements I, the first truly difficult idea in the book. Those who crossed the bridge would go on to master geometry; those who didn't would remain dabblers. Section 4.3 of “Beginning Visual C++,” on “Dynamic Memory Allocation,” was my bridge of asses. I did not cross.
Out of curiosity I looked up the table of contents of this book: https://catdir.loc.gov/catdir/toc/ecip063/2005032051.html
Contents
1\. Programming with Visual C++ 2005
2\. Data, Variables, and Calculations
3\. Decisions and Loops
4\. Arrays, Strings, Pointers, and References
Thats right, this guy got filtered right after the chapter that explains if and for statements 
Theres more r-sluration just after this paragraph as well, where he struggles to write a Hello World program and frames it as an epic intellectual struggle:
>I remember the moment things began to turn. I was on a long-haul flight, and I'd brought along a boxy black laptop and a CD-ROM with the Borland C++ compiler. A compiler translates code you write into code that the machine can run; I had been struggling for days to get this one to work. By convention, every coder's first program does nothing but generate the words “Hello, world.” When I tried to run my version, I just got angry error messages. Whenever I fixed one problem, another cropped up. I had read the “Harry Potter” books and felt as if I were in possession of a broom but had not yet learned the incantation to make it fly. Knowing what might be possible if I did, I kept at it with single-minded devotion.
The rest of the article is equally braindead, it looks like hes a CRUD front end dev or something. He brags about some of his high-octane 
"craftsmanship" here :
>A few months ago, I came home from the office and told my wife about what a great day I'd had wrestling a particularly fun problem. I was working on a program that generated a table, and someone had wanted to add a header that spanned more than one column—something that the custom layout engine we'd written didn't support. The work was urgent: these tables were being used in important documents, wanted by important people.
This really makes the rest of the articles pseudointellectual posturing extra hilarious to me.
This isn't really drama but I thought it was funny, so there 
Theres a hackernews discussion but I don't think any of them read the article (or maybe they are all equally 
) because almost nobody is pointing out how retarded this article is.
https://news.ycombinator.com/item?id=38257094
thigh high pink&blue socks for everyone of u
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I am in DevOps so I can't really comment regarding asking language models for help with programming.
ChatGPT is still quite shit, the only time it or other language models are useful and truthful are when:
THEY'RE WAY TOO AGREEABLE, it's like sometimes they can't say “no, you can't do that with xyz”, and since they're soulless strings of code, they don't have muh human intuition and suggest something else so sometimes they blatantly make shit up. Literally 0 capability to R&D on what's the best tool to do x
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It works pretty well to make boilerplate and explain certain concepts and edge cases. It can help with a lot of "am I r-slurred?" situations, especially when you can look up the term or concept to double check. Smart people use ChatGPT 4 to speed up their work. Dumb people use it as a crutch.
It does like referencing outdated libraries or docs at times....
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I sometimes write code in Python and have ChatGPT translate it to Go for the few times I need to edit a dependency within my company. It's useful but needs to be watched like a diligently stupid intern.
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ChatGPT is pretty great at writing tests with lots of repetitive boilerplate tbh.
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