I think the most important line in this post is: But LLMs are also lousy writers and (most importantly!) they are not you.
When I was editing the Cloudflare blog I imposed very little in terms of style so that the style of each individual writer could come through. It was almost as important as the actual content that the reader could feel that an actual individual wrote the text (with all their personal quirks intact).
I published a magazine for ten years, and this was by far the hardest editing challenge we had; our authors were from all over the world, and some of them had to be pretty heavily edited because English was very much not their first language. Thankfully, we had really good editors who did a fantastic job of it… nothing would have killed us faster than a heavy-handed attempt at “normalizing” the content to a house style.
That said, context is also important. The vast majority of content of social media is of both low quality and marginal importance; style and character are important to make an impact, and AI is clearly not going to improve either.
On the other hand, functional communication, when the goal of the content is to simply pass information across and style is not as important, can, in my opinion, benefit from an AI polish, because so many people struggle with writing clearly. In those cases, I'd rather read slop I can understand than original content that is hard to parse, much like I'd rather read naïve code that you can easily follow than cleverly optimized code that is incomprehensible.
I take a different stance on your final point. I think people should absolutely not use AI tools for functional communication as a crutch because they struggle with writing clearly.
They need to learn to write clearly. I believe there's a direct connection between clear thought and clear words.
I'm a bit skeptical of arguments of the form, "You should not use LLMs without disclosure because LLMs at bad at writing."
My reasoning is: If LLMs get better at writing—which I think is extremely likely—will you switch positions and say that now using LLMs without disclosure is A-OK?
Surely some people are willing to bite that bullet and say yes. But for most people, my guess is that the answer will remain no. Thus, I tend to think that the "real" reason most of us don't like it when people use LLMs to write without disclosure is that it's misleading: It's a sort of a claim that certain thoughts can be attributed to a human being when in fact they can't.
(The em dashes in this message were rendered using keyboard shortcuts.)
> If LLMs get better at writing—which I think is extremely likely—will you switch positions and say that now using LLMs without disclosure is A-OK?
If LLM writing improves to the point where they can infer the business (or other real world) context and serves the functional purpose of informing others as opposed to being an intellectually lazy piece being produced only for the purpose of being produced, then I’d be fine. It’s likely the author would need to spend some effort on the said piece of writing.
This misunderstands what it means to be better at writing. Root cause here is that writing is how humans communicate ideas. An LLM written thing isn’t doing that, it’s something equivalent to copy/pasting a Wikipedia article. Even if the writing gets better, it will still be necessarily empty when expending anything that isn’t completely specified.
LLMs seem already to be pretty good at translating, where you already have something fully written and are changing the language. It’s when they get rough ideas and fill in the gaps you get the empty prose they are known for.
I suppose using LLMs to write is like not wiping your ass, and using LLMs that are bad at writing is like not wiping your ass and wearing a T-shirt that says "Wiping is for losers."
I might have smelled something suspicious before, but knowing for sure is worse.
People shouldn’t pass off largely unedited AI writing as their own, but I’d much rather live in a world where that writing would be of high quality in both form and content, than in the world we live now. In that sense, lack of disclosure is the lesser evil.
I wonder why people think posting undisclosed LLM writing is any better than posting some other person’s writing uncited. Even if the original author is okay with it, it’s still misleading and dishonest. Or maybe all these people would be fine having someone else write their content for them if it were free and easy? A social media is a reputation economy, but reputation doesn’t work if gaining karma requires no effort.
Some people type 100x more words than the final article just digging into a topic and turning it on all sides. The final article being generated tells you nothing of the size of the effort going in.
I think, there's a systematic flaw in RLHF: constructs reinforced as effective or sophisticated style will always suffer overuse and significant overexposure. Which will be also very obvious when used out of the intended context, it's copied from. There will be always a "smell", something that causes us to turn our backs to these texts, and possible the supposed authors, as well.
There's also the problem that certain types of phrasing are perceived as effective, because they mark a pivotal point in the progress of the text and are, as such, used sparingly, but are now becoming everyday templates that incorporate whatever is available in the context. There is no way this passes the Turing test of a competent reader.
And there's yet another issue: in social research, there has been the concept of semantic position, indicated by deviation from the mean (or median). If you don't deviate from the mean, your semantic position is zero. There's simply no expression. In this sense, next token prediction really amounts to a desemantificiation of the context. There's really no sense in uttering any of these productions, no plausible motivation, other than for the purpose of raising you hand to be seen.
> If LLMs get better at writing—which I think is extremely likely—will you switch positions and say that now using LLMs without disclosure is A-OK?
I would say it is certainly significantly more ok. There are two reasons reading AI-generated text sucks now:
1. It's usually low value and not trustworth - I could have just asked the AI myself.
2. The prose style is horrible to read.
If we eliminate the second reason then it's definitely an improvement. (Although on the other hand the terrible prose can be quite a helpful indication that you're wasting your time reading slop, so maybe we shouldn't complain about it!)
I can always tell when someone uses an LLM to write and never gave the LLM proper context on how to write (i.e., writing samples, skills files specific to writing, etc). These are also the people who tend to complain about AI's writing style.
You can get pretty good results if you take the time to tune it. Tropes and the like still sneak in but if you take the time to edit and rework things, it ends up being a pretty good workflow (especially for stuff that's more procedural, not artistic).
I worked at LinkedIn (briefly, before retirement) and the product had been useful to me for years before that, so I used it a fair bit but not much anymore since it doesn't serve any of my current needs. There were always awful million-view posts written by humans, useless influencers promoted by the algorithm. That was always garbage, but to an LLM those posts look like success, because engagement, so the LLM tries to replicate that garbage, does a mediocre job, and the result is this sort of weird garbage. Basically the LLM appears to be high on its own supply. Problem is the viral stuff was always what made me want to run out of the room and lock the door, so even if the LLMs did a better job of replicating that garbage, it would still be garbage, just a little less weird.
What baffles me, isn't just that people don't see the low quality writing themselves, but that they must also be able to identify other's shit "LLM writings" right? And realize how what they put out sounds exactly the same? Or did people completely stop reading what they've "wrote" before hitting that magical submit button?
Yeah I don't quite understand it either. Where's the intersection between people producing AI slop and people that have never read AI slop? I guess it's bigger than we thought... Or maybe they just don't give a shit. That's probably it.
I'm not morally/philosophically opposed to someone generating text with AI. I just don't want to read something that isn't really "owned" by the person creating it (that is, the writer knows what he is sending me and endorses all of its contents), and because I can't discern that from people I don't know, I tend to view it with suspicion by default.
Whenever I see a cringe post on LinkedIn, I medically block that person or mark that post as not interested. That’s the only way you can judge the algorithm not to show those posts
When I log into LinkedIn, it seems like a vast majority of the posts are there to farm credibility and build a personal brand.
Pre LLMs, I found it all to be pretty gross. Post LLMs, my reaction to being on the receiving end of that is to find it pretty intellectually insulting.
There are ways in which using an LLM is branding suicide.
Also in the author's latest post[0], they took this[1] self-reported preference poll seriously, which makes it very hard for me to take their articles seriously.
Interesting question for sure, but for now the writing is just bad. So people might not know it's LLM prose, they just notice its poorly written and engage with the ideas less
The only place where I use AI for writing is to summarize press articles; this allows me to legally have a mirror of a press article I am commenting about in my blog (whenever I use AI, I make a disclaimer that the prose is AI-generated). Now that archive.org doesn’t mirror many press articles, and now that archive.today is having a lot of reliability problems (right now its CAPTCHA is down because it has gone beyond Google’s limit for CAPTCHA use), an AI summary of a news article (along with a link to the real article) is the only way to guarantee the reader will get this gist of the article I’m commenting on.
I also use AI to colorize old black and white pictures when discussing historical events in my blog, as well as the occasional AI enhancement of an old grainy and/or blurry photo.
Actually, it’s because, as per Feist Publications, Inc. v. Rural Telephone Service Co., facts cannot be copyrighted.
This legal trick only works for rewriting an article reporting on a factual event—since the events are uncopyrightable facts, the only part of the article which can be copyrighted is the stylistic writing.
Let me quote from a recent legal opinion on AI summaries (The New York Times Company v. Microsoft Corporation et al 2025):
>>>
Exhibit 11 to the CIR complaint provides website links to articles that
CIR alleges were unlawfully abridged by defendants in their ChatGPT and
Copilot outputs. (CIR, FAC Ex. 11.) Examining the similarities between
those outputs and the corresponding CIR articles, including the “total
concept and feel, theme . . . sequence, pace, and setting,” Williams
v. Crichton, 84 F.3d 581, 588 (2d Cir. 1996), the Court concludes that
the “abridgments” contained in Exhibit 11 are not substantially
similar to CIR’s copyrighted works as a matter of law.
The alleged abridgments are detailed summaries, usually in bullet point
form, of the facts contained in CIR’s articles. Those summaries—which
differ in style, tone, length, and sentence structure from CIR’s
articles—are not “substantially similar” to CIR’s copyrighted
works. They present the “facts in a different arrangement”—bullet
point lists or short summary paragraphs—“with a different sentence
structure and different phrasing.” Nihon, 166 F.3d at 71. In short, the
abridgments in Exhibit 11 are not substantially similar, qualitatively
or quantitatively, to the original CIR articles as a matter of law. The
Court therefore grants OpenAI’s motion to dismiss CIR’s claim of
direct infringement under 17 U.S.C. § 501 insofar as it relates to the
“abridgments” contained in Exhibit 11.<<<
This feels like satire / parody. Praising LinkedIn. The text itself containing multiple LLM tells, especially in the parts complaining most about LLM writing.
Maybe not. Could just be kind of accidentally ironic with the author picking up LLM quirks from using them a lot.
So many people seem completely blind to LLM writing, they are fine sharing it on social media or at work. I think it’s people who are “not details people” and are used to judging something without reading it based on superficial cues which is what LLMs are optimized for.
And of course anyone who actually reads stuff is disgusted by it, so we quickly end up with a situation where content is piling up and nobody is consuming it which is basically dead internet theory.
On LinkedIn specifically I went from reading it regularly to almost never touching it, previously the nonsense (“the interviewer was the dog”) was still tolerable enough to flip through for updates and I found the platform useful for business leads. Now it’s just a feed of pure slop, when I do open it I just close again after reading a post is two when I remember how bad it is.
The HN title ("Intellectual Fly Is Open") made me think it's about some startup starting to sell subscriptions. That title should be de-editorialized. Was it LLM-generated?
I was fired from my job at spotify for taking fmla when i my dad was dying from cancer. I've been marking the my directors posts on linkedin as 'looks like ai slop'.
Your fly is also open when you indiscriminately fling accusations of LLM writing around. I know it isn't that easy to detect because I get falsely accused of it. To some people it seems to mean text written in complete sentences without glaring errors and maybe a few uncommon word choices. It has become an all purpose excuse for declining to engage with the meaning.
One of my neighbors sent a letter to the HOA president, who refused to even acknowledge it, on the grounds that it was written too well and so must have been AI assisted. I don't know if that was true, and don't much care, because I do know it contained valid issues that deserved a response.
> Your fly is also open when you indiscriminately fling accusations of LLM writing around
Not.. really?
I kinda see the point you seem to want to make, but the "no U" opener makes it hard to do that.
Beside that, HOAs - from what I heard of them - will use any reason they can make up to ignore what you want from them, so I'm not sure if that has anything to do with LLMs.
The message of the post is what _should_ hopefully matter to a reader.
And, not the fact that it was written by an LLM.
I am a technical guy at heart; also an introverted extrovert. I hate writing docs that are to be written to satisfy someone else's metrics. For it to be a tickbox'ed item.
I delegate that to an LLM. I want to spend my time solving interesting challenges instead.
So, Mr. Cantrill, you got a problem with that? So be it.
I hear ya. However, that ship has sailed a long time ago and succumbing to this very idea is exactly why puritans in any form will not survive the next 50 years.
> Please read past the LLM-ness of any given post. The message of the post is what _should_ hopefully matter to a reader. And, not the fact that it was written by an LLM.
No. I am interested in what a human has to say, not a clanker. If you don't wish to write that is fine, but don't hand it off to the slop machine and present it as though you did anything of value.
I mean, i check it to see if a recruiter has something interesting but otherwise?
When I was editing the Cloudflare blog I imposed very little in terms of style so that the style of each individual writer could come through. It was almost as important as the actual content that the reader could feel that an actual individual wrote the text (with all their personal quirks intact).
That said, context is also important. The vast majority of content of social media is of both low quality and marginal importance; style and character are important to make an impact, and AI is clearly not going to improve either.
On the other hand, functional communication, when the goal of the content is to simply pass information across and style is not as important, can, in my opinion, benefit from an AI polish, because so many people struggle with writing clearly. In those cases, I'd rather read slop I can understand than original content that is hard to parse, much like I'd rather read naïve code that you can easily follow than cleverly optimized code that is incomprehensible.
They need to learn to write clearly. I believe there's a direct connection between clear thought and clear words.
My reasoning is: If LLMs get better at writing—which I think is extremely likely—will you switch positions and say that now using LLMs without disclosure is A-OK?
Surely some people are willing to bite that bullet and say yes. But for most people, my guess is that the answer will remain no. Thus, I tend to think that the "real" reason most of us don't like it when people use LLMs to write without disclosure is that it's misleading: It's a sort of a claim that certain thoughts can be attributed to a human being when in fact they can't.
(The em dashes in this message were rendered using keyboard shortcuts.)
If LLM writing improves to the point where they can infer the business (or other real world) context and serves the functional purpose of informing others as opposed to being an intellectually lazy piece being produced only for the purpose of being produced, then I’d be fine. It’s likely the author would need to spend some effort on the said piece of writing.
LLMs seem already to be pretty good at translating, where you already have something fully written and are changing the language. It’s when they get rough ideas and fill in the gaps you get the empty prose they are known for.
I might have smelled something suspicious before, but knowing for sure is worse.
There's also the problem that certain types of phrasing are perceived as effective, because they mark a pivotal point in the progress of the text and are, as such, used sparingly, but are now becoming everyday templates that incorporate whatever is available in the context. There is no way this passes the Turing test of a competent reader.
And there's yet another issue: in social research, there has been the concept of semantic position, indicated by deviation from the mean (or median). If you don't deviate from the mean, your semantic position is zero. There's simply no expression. In this sense, next token prediction really amounts to a desemantificiation of the context. There's really no sense in uttering any of these productions, no plausible motivation, other than for the purpose of raising you hand to be seen.
I would say it is certainly significantly more ok. There are two reasons reading AI-generated text sucks now:
1. It's usually low value and not trustworth - I could have just asked the AI myself.
2. The prose style is horrible to read.
If we eliminate the second reason then it's definitely an improvement. (Although on the other hand the terrible prose can be quite a helpful indication that you're wasting your time reading slop, so maybe we shouldn't complain about it!)
You can get pretty good results if you take the time to tune it. Tropes and the like still sneak in but if you take the time to edit and rework things, it ends up being a pretty good workflow (especially for stuff that's more procedural, not artistic).
> Your intellectual fly is open
which makes more sense.
Your title made think that a software project was open sourced or something.
Pre LLMs, I found it all to be pretty gross. Post LLMs, my reaction to being on the receiving end of that is to find it pretty intellectually insulting.
There are ways in which using an LLM is branding suicide.
Also in the author's latest post[0], they took this[1] self-reported preference poll seriously, which makes it very hard for me to take their articles seriously.
[0] https://bcantrill.dtrace.org/2026/09/05/the-revolt-of-the-re...
[1] https://writethatblog.substack.com/p/dev-reaction-to-ai-blog...
Who decide what is obvious or not?
I also use AI to colorize old black and white pictures when discussing historical events in my blog, as well as the occasional AI enhancement of an old grainy and/or blurry photo.
This legal trick only works for rewriting an article reporting on a factual event—since the events are uncopyrightable facts, the only part of the article which can be copyrighted is the stylistic writing.
Let me quote from a recent legal opinion on AI summaries (The New York Times Company v. Microsoft Corporation et al 2025):
>>> Exhibit 11 to the CIR complaint provides website links to articles that CIR alleges were unlawfully abridged by defendants in their ChatGPT and Copilot outputs. (CIR, FAC Ex. 11.) Examining the similarities between those outputs and the corresponding CIR articles, including the “total concept and feel, theme . . . sequence, pace, and setting,” Williams v. Crichton, 84 F.3d 581, 588 (2d Cir. 1996), the Court concludes that the “abridgments” contained in Exhibit 11 are not substantially similar to CIR’s copyrighted works as a matter of law.
The alleged abridgments are detailed summaries, usually in bullet point form, of the facts contained in CIR’s articles. Those summaries—which differ in style, tone, length, and sentence structure from CIR’s articles—are not “substantially similar” to CIR’s copyrighted works. They present the “facts in a different arrangement”—bullet point lists or short summary paragraphs—“with a different sentence structure and different phrasing.” Nihon, 166 F.3d at 71. In short, the abridgments in Exhibit 11 are not substantially similar, qualitatively or quantitatively, to the original CIR articles as a matter of law. The Court therefore grants OpenAI’s motion to dismiss CIR’s claim of direct infringement under 17 U.S.C. § 501 insofar as it relates to the “abridgments” contained in Exhibit 11.<<<
Maybe not. Could just be kind of accidentally ironic with the author picking up LLM quirks from using them a lot.
Funny in either case.
And of course anyone who actually reads stuff is disgusted by it, so we quickly end up with a situation where content is piling up and nobody is consuming it which is basically dead internet theory.
On LinkedIn specifically I went from reading it regularly to almost never touching it, previously the nonsense (“the interviewer was the dog”) was still tolerable enough to flip through for updates and I found the platform useful for business leads. Now it’s just a feed of pure slop, when I do open it I just close again after reading a post is two when I remember how bad it is.
If this is straight out of an LLM I am impressed
One of my neighbors sent a letter to the HOA president, who refused to even acknowledge it, on the grounds that it was written too well and so must have been AI assisted. I don't know if that was true, and don't much care, because I do know it contained valid issues that deserved a response.
Not.. really?
I kinda see the point you seem to want to make, but the "no U" opener makes it hard to do that.
Beside that, HOAs - from what I heard of them - will use any reason they can make up to ignore what you want from them, so I'm not sure if that has anything to do with LLMs.
The message of the post is what _should_ hopefully matter to a reader.
And, not the fact that it was written by an LLM.
I am a technical guy at heart; also an introverted extrovert. I hate writing docs that are to be written to satisfy someone else's metrics. For it to be a tickbox'ed item.
I delegate that to an LLM. I want to spend my time solving interesting challenges instead.
So, Mr. Cantrill, you got a problem with that? So be it.
It's just digital pollution.
No. I am interested in what a human has to say, not a clanker. If you don't wish to write that is fine, but don't hand it off to the slop machine and present it as though you did anything of value.