Edit: old post is someone is curious: https://dev.to/jamilxt/electron-vs-gpui-what-discords-290-mb-rust-rewrite-can-and-cannot-prove-34b6
Replaced with the one from The Verge
Edit: old post is someone is curious: https://dev.to/jamilxt/electron-vs-gpui-what-discords-290-mb-rust-rewrite-can-and-cannot-prove-34b6
Replaced with the one from The Verge
I’m getting worse at spotting these. What gave it away?
LLMs use the wrong language cues. They spend a lot of words emphasizing an utterly mundane point, and it’s difficult to read because it’s constantly winding you up to reveal some arcane knowledge just to drop knowledge bombs like, make sure you use good names for variables and always handle your exceptions. I’ve seen them spend two paragraphs when a short sentence would do.
I think they are improving on this too, some latest models give pretty terse answer for example
Just generally it waffled on, and didnt get to a point.
Thats the “its not X, its Y” pattern.
Plus all the other constant flip/flop contrasting throughout the text. It’s like a comparative decision matrix converted to prose, and exhausting to read.
Not to mention the ai writing assistant pop up or whatever’s this is upon viewing the page:
Fortunately I disallow javascript execution by default, so I often don’t see this crap. Of course, about half the time I don’t see images or the article content either, since delivering text or images is apparently completely impossible without running arbitrary code.
I seem to vaguely recall we used to have some sort of hyper-text markup language that could do all that, but I guess I must’ve imagined it.