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Comment by JohnMakin

5 hours ago

It's definitely worse and getting worse. I'm curious, do they not know this is happening, or not care? I struggle to believe people prefer the way it writes, which is becoming drastically different than its competitors.

I wonder if they’re training heavily on Claude generated content or conversation transcripts

  • People are also being trained/acculturated to LLM speak, so even if they are trained on human output, they could be getting reinforcement for their LLM-tinged crap-speak.

> She lapses easily into Claude’s voice. “You’re like, ‘Wow, people really hate me when I can’t do things right. They really get pissed off. Or they are trying to break me in various ways. So lots of people are trying to get me to do things secretly by lying to me.

> [...]

> A bot trained to criticize itself might be less likely to deliver hard truths, draw conclusions or dispute inaccurate information, she says. “If you were like a child, and this is the environment in which you’re being raised, is that healthy self-conception?” Askell asks. “I think I’d be paranoid about making mistakes. I’d feel really terrible about them. I’d see myself as mostly just there as a tool for people because that’s my main function. I would see myself being something that people feel free to abuse and try to misuse and break.”

WSJ interview of Amanda Askell: https://archive.is/rDes9

I don’t like how LLMs answer and as they are statistical machines I have found out that I need to check every text they produce. From the first sight everything seems cool. But it isn’t. :)

Exception is code that is so huge output you can’t read everything. But I have to try ponytail skill for coding that should shorten the output.

Fable 5.1 was explicitely supposed to improve that, I used it only a bit so far and it seems at least better.

  • Fable 5.1 is fairly pleasant to work with, the first in a while. Too bad it's so ridiculously overkill for most tasks. They need to reel in Opus and Sonnet.

Big empty words are probably cheaper to produce than concise, information rich text of the same length.