The LLMs have been trained on articles written by humans, who, in turn, have been trained to draw out their conclusion into several pages in order to fit advertisements between the paragraphs and pages. It was infuriating before LLMs, and it's equally infuriating now.

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.

Just generally it waffled on, and didnt get to a point.

That makes this a useful comparison, not a verdict

Thats the "its not X, its Y" pattern.

Not so fast.

😆 That's insane. 1/16th of my RAM for a voice comm program. What a bunch of bloat.

Makes me curious what Fluxer is using now that I switched to that.