172 karma · joined February 13, 2024
I agree that short staccato phrasing is not inherently bad. I think it's just how it is used, and that when AI chooses to write in that style it is often "bad" in some sort of way I have trouble defining precisely.
Things that alerted me. (Note that any one of these things could be fine and explainable, but so many in short order makes it obvious).
> And it rang. We both did our jobs.
What is the human's job here? Waking up?
> the whole morning minute by minute, as if someone had laid it out on a table and labeled every piece.
Labored metaphor that doesn't add anything. Laid out a minute? On a table? Even if we accept the non physical metaphor for style, how does that add anything on top of "minute by minute".
> I made two pieces of toast. The left one burned. The left one in my toaster always burns; my toaster has a favorite side.
This sort of short staccato phrasing is an LLM smell. It's hard to describe why precisely and how it varies from natural human text, but LLMs like to do this when writing fiction, especially when told to "write with a good style, don't write like an LLM."
This Claude sentence would be greatly improved by deleting everything after the comma. That clause adds nothing informationally and in some sense is using a very weird definition of describe and found.
A test of 2/5 vs 4/5 seems to be an obviously invalid experiment.
Some bad writing examples I liked.
> By the third pause to look up a word, your tea has gone cold.
And here I thought that water had one of the highest specific heat capacities.
> Both numbers are true
What does "both numbers" refer to? Presumably the two percentages, (based on the title, but there is no framing right away that these are the key numbers), and proximate to the line are several unrounded numbers.
> is a flashcard app that teaches Japanese from anime. Each card uses a line where you know everything except the one new word, which is why we started counting lines. The figures above count each word once, however many meanings it has. That wouldn't work in the app: knowing あれ as "that" doesn't help when someone says あれ? (huh?). These are two separate cards. It doesn't catch every such word yet, we're working on it. During early access it offers one show, Hunter x Hunter.
Highly advise cutting down your marketing pitch for your product, it's just too long to grab people.
https://acoup.blog/2025/08/22/collections-life-work-death-an... You can read https://acoup.blog/2025/09/05/collections-life-work-death-an... which is by a working historian.
I also want to add that, none of this is relevant to the point of whether or not the current system is "just" or reasonable given and I think overall that argument is mostly a red herring.
Like what even is this, we know about ADRs, this is a common framework.
I don't find this to be true, at least with the newer models. I also find that the models fill up to 250k very quickly (presumably mostly by looking through the codebase). Without that context I find the models perform badly. I also don't really notice that large of a change until around 700-800k context and even then it isn't as bad as it used to be. I suspect, that (especially for coding), the long horizon RLVR tasks have helped with this quite a bit.
It also is clearly novel in the scientific sense. This is not a known system and it may resemble some attributes of similar systems but it differs substantially in its arrangement, since it's not clearly a retron.
As for if it is for PR. Yes, I don't disagree about that.