2 ms·

> I'm trying to put my finger on why this pisses me off so much What I find frustrating when reading LLM output is that the eye glides over it easily, as it al

> I'm trying to put my finger on why this pisses me off so much What I find frustrating when reading LLM output is that the eye glides over it easily, as it all has the right "texture" of text. But after reading a paragraph, you realize there is no content! And you have to squint hard looking for it, and you can't find it. It's exhausting. And here, the person at the sharp end is doing a valuable, unpaid public service, which is adding insult to injury...

serf 3y ago
feels like it'll start an arms race with readers employing LLMs to create condensed/sparse summaries of things. I guess the capability of the specific LLMs will dictate whether or not this is a net loss w.r.t. human communication in general.
godelski 3y ago
> What I find frustrating when reading LLM output is that the eye glides over it easily, as it all has the right "texture" of text. But after reading a paragraph, you realize there is no content! And you have to squint hard looking for it, and you can't find it. It's exhausting. I'd just like to say that this is a really elegant way of explaining this concept. I'm going to steal it ;) I think this is also why there's a lot of miscommunication about generative models capabilities. I'm focused on image synthesis and then thing I notice is that these look amazing at first glance. Incredible when scrolling through Twitter, Reddit, or whatever. But the longer you look the weirder they tend to get. Not that this always happens, but enough. I just wish we could talk about ML as if there weren't two camps: utter and useless bullshit vs AGI is coming sooner than an Elon promise of self-driving. It's neither of those things and I think we can't talk about what it really is because we want to believe one of the two extremes.
- pc3k 3y ago
  > But the longer you look the weirder they tend to get. Not that this always happens, but enough. Especially with the HDR-esque glow that shouldn't exist.

serf 3y ago

feels like it'll start an arms race with readers employing LLMs to create condensed/sparse summaries of things. I guess the capability of the specific LLMs will dictate whether or not this is a net loss w.r.t. human communication in general.

godelski 3y ago

> What I find frustrating when reading LLM output is that the eye glides over it easily, as it all has the right "texture" of text. But after reading a paragraph, you realize there is no content! And you have to squint hard looking for it, and you can't find it. It's exhausting. I'd just like to say that this is a really elegant way of explaining this concept. I'm going to steal it ;) I think this is also why there's a lot of miscommunication about generative models capabilities. I'm focused on image synthesis and then thing I notice is that these look amazing at first glance. Incredible when scrolling through Twitter, Reddit, or whatever. But the longer you look the weirder they tend to get. Not that this always happens, but enough. I just wish we could talk about ML as if there weren't two camps: utter and useless bullshit vs AGI is coming sooner than an Elon promise of self-driving. It's neither of those things and I think we can't talk about what it really is because we want to believe one of the two extremes.

pc3k 3y ago
> But the longer you look the weirder they tend to get. Not that this always happens, but enough. Especially with the HDR-esque glow that shouldn't exist.