jazzyb

You're still describing a compiler. You want that decision to be deterministic. An LLM is a really bad solution for such a problem.

It's a good start.

For early compilers in certain contexts, this was once true.

Same. I've been told I'm a "high metabolizer". I can drink a cup of coffee/tea/soda before bed and pass out. No noticable effect.

It's weird that you mention the runner's high, too. I've run 6 miles 3x a week for months on end (PR of 8.5 miles), and I have no idea what other runners are talking about. I've never put the two together before.

Learning language is like learning poetry. Your appreciation of the thing grows proportionally with the practice. Which means you don't need to learn to fluency to appreciate Arabic. Even modest practice, just learning to write the alphabet, will increase your appreciation for the language if that's what you'd like to do.

Yeah, saying "I don't daydream" sounds like "I don't have thoughts" to me. Am I always daydreaming, or have I never daydreamed?

That sounds like the CCIE.

Stephen King said something similar (but I'm sure I'm misquoting): Every writer begins with one million terrible words inside them. The sooner you get those words out, the sooner you get to the good stuff.

That is so different than I expected. Thank you for the link.

> How many developers are using VSCode? How does that number compare with Emacs/Vim?

Perhaps I'm in some sort of "TUI bubble", but I'd bet good money that Emacs/Vim users outnumber VSCode users by an order of magnitude. But maybe I'm just surrounded by *nix devs.

My biggest concern with AI is that I'm not sure how a software engineer can build up this sort of high-level intuition:

> I still have to deeply think about every important aspect of what I want to build. The architecture, the trade offs, the product decisions, the edge cases that will bite you at 3am.

Without a significant development period of this:

> What’s gone is the tearing, exhausting manual labour of typing every single line of code.

A professional mathematician should use every computer aid at their disposal if it's appropriate. But a freshman math major who isn't spending most of their time with just a notebook or chalk board is probably getting in the way of their own progress.

Granted, this was already an issue, to a lesser extent, with the frameworks that the author scorns. It's orders of magnitude worse with generative AI.

> But it's not Google or TikTok that did this: it's the content consumers.

Given the intentionally addictive algorithms and psychological manipulation used by the big tech companies, I think at least some of the blame can be placed on them.

Granted: If you live in America, depending on your situation, you may need wealth or a good job to have access to decent healthcare.

But, "They will never have a family... hobbies, or respect from their community." This is completely out of touch. Plenty of Americans in flyover country accomplish all of these on an average salary. Source: They're my neighbors.