My revolt is against the cognitive stress of reading generated text. A trope typically indicates I’m in for an uphill read.
I recently read this William Zinsser quote that inspired a nickname for this: Clotted Claude [1].
> Nobody has made the point better than George Orwell in his translation into modern bureaucratic fuzz of this famous verse from Ecclesiastes:
> > I returned and saw under the sun, that the race is not to the swift, nor the battle to the strong, neither yet bread to the wise, nor yet riches to men of understanding, nor yet favor to men of skill; but time and chance happeneth to them all.
> Orwell's version goes:
> > Objective consideration of contemporary phenomena compels the conclusion that success or failure in competitive activities exhibits no tendency to be commensurate with innate capacity, but that a considerable element of the unpredictable must invariably be taken into account.
> First notice how the two passages look. The first one at the top invites us to read it. The words are short and have air around them; they convey the rhythms of human speech. The second one is clotted with long words. It tells us instantly that a ponderous mind is at work. We don't want to go anywhere with a mind that expresses itself in such suffocating language. We don't even start to read.
I would love to use Pangram but they simply don’t allow signing up with my custom email domain. The error was “This email address can't be used for signup. Please use a different email.” I’m not about to create a Gmail is to use your service. To me the attack on the decentralized nature on Internet infrastructure is no less serious than the attack on the human provenance of writing itself.
Agreed, I like the Oxide podcast as well, even though it’s hardware I’m unlikely to ever see never mind use, it’s nice that someone somewhere is still trying to be what they are trying to be.
Having dealt with Enterprise Hardware(TM) in a previous job, it’s refreshing simply to see someone look at that pile of crap and go “it doesn’t have to be that way” and then actually set out to prove it.
They have a ton of rfds publicly available that are worth reading. Recently, read this one: https://rfd.shared.oxide.computer/rfd/0161 because I'm researching clickhouse for my work (there is also a podcast ep on it). Even if you never use their hardware, just reading their work around the software they use/make is incredibly valuable as an engineer.
That is honestly the highest possible praise -- thank you. And when this piece was starting to boil inside of me last night (triggered, I'm sorry to report, by an obviously LLM-authored guest blog entry from the Rust Foundation[0]), I messaged one of my colleagues: "Time to do what I do best: bluntly say what lots of people are thinking."
I would go even further, I want a browser extension that scans all words on every page and colours them more and more transparent as the likelihood of llm prose is increased.
Unfortunately, it's not a browser extension and doesn't seem to have an API. I'd make a browser extension for this myself if it didn't involve paying for expensive Pangram usage.
For me, writing is an activity of expressing my feelings and conveying my thoughts. I rarely left that to LLM simply because one does not contract out activities one cherishes.
I (am kinda forced to) use LLM to generate maybe 40% of the code at work, that is after my review and modifications. But I pretty much wrote all of the comments by myself. I can get into the flow by writing comments.
When I write technical documentation, here's how I use LLMs:
* If I need to learn something before I write about it, I rely on LLMs heavily to answer questions that I have about other source materials, e.g. to clear up ambiguities.
* I've recently started prompting it to find grammatical and spelling errors.
* And I've prompted it to find technical errors, places where I'm just wrong.
For all the prompting, I additionally tell it to not rewrite anything or offer any prose suggestions. It can keep all that to itself, thank you.
And I verify what it gives back for correctness.
(I'd encourage non-native speakers to use LLMs in much the same way. Don't sacrifice your human voice by letting the AI rewrite your words. Personally, I'd very much rather hear it from you, blemishes and all, than hear it from an AI.)
But if I could step back for a minute:
Why write anything?
If your writing goal is to flood the zone and make as much money as humanly possible from ads, then hell yeah, paperclip the everliving shit out of that.
But if your writing goal is to learn material or share material, then put that LLM on the back burner and don't use it to directly generate your text. It's bad for you, and the results are subpar.
When I'm learning something, I can go through reams of tokens and then, once I understand it, I digest that to single a paragraph about the topic. The paragraph is as concise and as helpful as I can make it. Now, I could just share the prompts that I went through with those pages of back-and-forth with the LLM... but wouldn't you rather just read the concise paragraph that gets the point across?
It's not hard to be better than an AI at writing for humans, so the minimum low bar to aim for is "better than an AI". And we can all get there with a small amount of practice. The real goal is to greatly exceed the LLMs' capabilities for sharing information.
Finally, I think everyone should write a lot. Blogs, morning pages, fiction, technical books, letters, whatever. Especially when it comes to technical content, nothing makes you do your research like putting your ass out in the ether to get flamed by 5 billion people. And teachers the world over know the best way to learn something is to teach it. Pick a topic, research, and write it up more clearly and concisely than anyone else ever has. You'll learn so much, and your readers will, as well. Writing fires up your brain. Don't give that up to an LLM.
I see this at work. People are "writing" specs and design proposals with bots. This is noticeable and is a huge turn off. I don't have issues with using bots to aid research, but I'm not reading the doc you slopped together.
In a way, The ubiquity of AI-generated material will force the world to acknowledge the superiority of the human mind. Already on Youtube there are channels proudly claiming their music was not generated by AI. Will the software industry have similar disclaimers? (some already have).
I am bad at recognizing LLM writing off the bat, though I am getting better. It's pretty common that the writing is good enough to get me reading on a topic I am interested in; then, once I am invested in the piece, it turns out to be shallow, wildly incomplete, or simply wrong.
It's common enough that it's training me to recognize and recoil from AI tics through sheer classical conditioning.
How can you tell if people can accurately identify AI generated text?
If a person reads AI generated text and does not notice, they by definition will not know about it.
There have been numerous cases of people accessing human created content as being AI.
There are instances where it seems relatively uncontroversial that it is AI generated, but without knowing both the amount of AI content people are exposed toand the amount that they register I don't think you can draw a conclusion of the overall state.
I don't think this is about edge cases where someone has successfully disguised the writing to some degree: the current crop of LLMs have some pretty blatant (and frankly annoying) habits by default, ones that are hard to miss once you have read a decent amount of their output. If I had to describe them broadly, I would say they are a collection of habits which are common in certain kinds of persuasive and emotive writing, but are usually applied way out of proportion to the topic at hand, which tends to make the result quite grandiose, overly dramatic, and tiring to read: a LLM will often write a TODO app README like it's a cross between a thriller novel, a political speech, and a bombshell news article. There's lots of specific tics (and just by sheer volume and uniformity almost any habit an LLM picks up is going to rapidly shoot into cliche regardless of its own merit) but this is the general effect which I think is objectionable independent of the source of the text.
I do think the sensitivity to it can vary a lot: it depends a lot on how much and how closely you read the text, and how much exposure you have to LLM writing. Certainly it seems like a lot of people just don't really notice, or at least don't care much.
> the current crop of LLMs have some pretty blatant
This is just "em dash redux." Except now we've moved on to accusing anyone who does "It's not X. It's Y." of being AI. In six months, it'll be "use of the word 'petrichor'" or something.
I do think there is a tendency to over-index on one or two particularly straightforward tells, and for any given feature of LLM writing you can find places where people do also use that feature (they had to learn it from somewhere, and in a lot of cases it is good writing practice — for the context in which it is used). But I'm not talking about just that, but also the general tone issue: it's bad writing regardless because it's in most cases just not appropriate for the context it's been written in.
(TBH I think the biggest likelihood for false positives comes from heavy LLM users picking up their tics: it's a natural tendency and I've already seen a few cases where it seems like that has happened).
Idk, it's more like "your writing is cliché and I don't feel like reading it because I've already read something that sounded similar countless times and it wasn't worth the read". The source of the clichés being an LLM. And maybe now humans are writing the same way as LLM output, I still am not going to read all that, sorry. If I see a sea of clichés, I'm going the other way.
I'm also not reading pumpkin spice murder mysteries for a similar reason. I'm also not reading stories where everybody clapped. Actually, I'm already familiar with petrichor, so unless someone has surrounded the word "petrichor" with non-cliché prose, I'm also not going to read all that.
This is very handwavy and dismissive. It is pretty safe to assume that must of us catch it most of the time because the simple fact is so many people just copy and paste whatever the LLM outputs without even trying to edit it or mask that they used one. We’ve all seen so many examples of the exact same cadence and verbiage that we’ve learned how to identify it pretty reliably. The ones who are “slipping past us” are actually putting in the work make not just pasting raw LLM outputs, which is the real issue here. If somebody has edited it meaningfully after the fact then it’s not the same crime.
> It is pretty safe to assume that must of us catch it most of the time because the simple fact is so many people just copy and paste whatever the LLM outputs without even trying to edit it or mask that they used one.
This statement does not logically cohere. "We can spot it because so many people make it easy to spot." You don't see how this is just petitio principii in action?
What is your point? It’s not that complicated. Obvious slop is obvious. Maybe there are some humans out there who sound like Claude but I’m not going to force myself through 900 slop blog posts on the off chance that one of them might actually be written by a human.
Maybe some people stop reading LLM slop purely because it violates their moral principles or whatever but most people bail out because slop is mentally painful to read. If you are a human and you write like today’s AI find a different writing style, not because reads like AI, but because it reads like shit.
AI writing just means "writing I don't like" now. Just like Nazi means whatever and whoever I politically disagree with. Words have lost their meaning.
You're right that Nazi doesn't mean Nazi anymore. It means neonazi / white supremacist / white nationalist, which is a much broader group of people that, for some baffling reason, are under the impression that people don't care about their fascism and racism anymore.
I liked your piece, and agree with almost all of it, but I'm surprised by your faith in the accuracy of Pangram at detecting AI writing. Is your faith based on testing it with lots of writing of known origins, or are you just saying that it reaches the same conclusion that you do as a talented human?
In particular, I wondered if you have tried running all of your own writings through it to verify that it thinks you are human. I was struck by Freddie deBoer's recent piece where he did this and said it often failed: https://freddiedeboer.substack.com/p/i-wouldnt-say-pangram-i...
What percentage of false positive rejections would you find acceptable? Would you accept this even if it forced you to change the way you write?
My experience is using Pangram quite often with lots of writing of all flavors (including a bunch of known origin).
As for my own writing, I didn't do this experiment, but one of my co-workers did -- and over 176 posts spanning 22 years, all 176 (well, 177 now with my latest) are 100% human. This is not hugely surprising in that (in addition to me having actually written them!) my voice is very... distinctive. What would be more entertaining would be to try to get an LLM to write like me and fool Pangram that way. I still think that this would be difficult based on the experiences that I've heard, but it wouldn't surprise me if you could pull it off (and I would assuredly find the result entertaining!).
In the dimensions that we use Pangram in the most actionable sense (namely, to audit our own public writing), I am unconcerned about false positives, and leave it to Oxide authors to rework/recast as needed. (Though it sounds like Freddie didn't even need to do that -- he just needed to provide a longer sample.)
A lot of similar pieces have not considered a post is both the first and final work of a thing: opinions, and experience, and less of much in cited facts; with AI, that there even was a revision pass at all.
I guess there is a kind of participatory element to the discourse where, if you want an audience, there is an editing process. Whereas in other cases, we wrote these as progress notes on an unknown journey, breadcrumbs or upturned stones to mark a path to the horizon.
Maybe it's the difference between writing as a mode of discovery, retreading the mental arc of a solution, and writing something honed to leave a mark.
I'm confused and disturbed by the need to invoke Pangram (a model) as the arbiter of slop here. Slop, like smut, is self evident. You know it when you see it. Yes, some effort may be required before realizing that something is slop, which, yeah, is annoying, but that's nothing in comparison to outsourcing your shiite detection to a model! What do you get, except the loss of self worth, by needing a model to have the confidence to call something slop?
> Why do people have this reaction? Beyond having to endure aggravating stylistic tics, when reading a piece that has had substantial LLM assistance, we — the readers — don’t know what is real and what isn’t.
This is well said. But, here too, I would pause and reflect on what it means to (think you) know what is real and what isn't in a pre-LLM setting. For example, authority bias predates LLMs, and can have disastrous consequences.
"I have fantasized about sentencing the author to read them aloud, certain that they themselves will be unable to endure the slop that they are foisting upon the rest of us.)"
>to use an LLM to write is to void the social contract between writer and reader: we readers shouldn’t be expected to labor to understand a sentence that the writer themselves didn’t work to create.
Pretty much sums up the issue re: workplace lazy AI dumping on folks as well.
AI detection should NEVER be used in an educational setting where the only acceptable false positive rate is 0%. That being a rate that which will never be achieved.
Yeah, even Pangram is a bit problematic here. It has been notoriously fragile. Minor edits can flip scores from 100%-human to 100%-AI, because Pangram is crazy sensitive to local and surfacial features of text. Simple consulting with LLMs for word choices can result in 100%-AI score. Insane.
Look, in the future we may get to a point where LLMs are indistinguishable from humans in writing style.
Even then, I would say that using an LLM is robbing you of the process of writing, a process that is crucial to developing and understanding your own ideas.
Think about the last time you wrote something for consumption and the sentence to sentence thought processes you’re going through. I bet a lot of that was “is that right?” Or “does that make sense?” Or “am I communicating this at the level of my reader?”.
All of that is fundamental to your readers understanding, but more importantly, its fundamental to YOUR understanding.
I hate to say this but AI assisted short pitch deks from founder to angel (usually their first time) have improved with AI. But also, they follow the same formula so are sorta obvious. Still, the decks are generally more business focused than typical founders early deck being very product/solution oriented.
This meme of trying to make it sound like LLM text is so obvious is a joke. It’s literally not, you can tell it to write in literally any style and given just a bit of an example of a person’s writing style, frontier models copy it completely and effectively. This argument can probably be leveled at vanilla raw output from an LLM, but even the slightest attempt at obfuscation bears solid fruit.
If someone uses an LLM to write and is able to tailor their writing such that it isn't obviously written by an LLM, then I'm fine with it! But two of my otherwise-favourite news sources -- the Hacker News front page and FT Alphaville -- are inundated by articles where the LLM usage is blindingly obvious.
Well, give it a shot -- you'll likely find that that technique doesn't work nearly as well (at least with Pangram 4) as you think it might. When we had Max on the podcast[0], Adam explicitly asked him about exactly this (after all, you can give an LLM access to Pangram and let it iterate!), and Max reported that someone had attempted to do this -- and ended up burning through $700 in tokens and had a "sad Claude." Another interesting bit: according to Max, newer models are diverging more from human writing not less. I think that that was more anecdotal than quantified, but an interesting comment nonetheless.
99% of college essays and pretty much everything “product” in corporate America is now LLM generated with some marginal oversight. It passes muster for the most part.
This isn't very effective on any models released in recent years. With older ones, you used to be able to influence writing style significantly by just putting examples in the context, but newer models have gone through so much assistant RLHF, they really want to revert back to their default "assistant voice" during their turn.
You can still influence their writing style in a broad manner that might look correct at a glance, but the repetitive little patterns that give it away will always be there - if it was that easy to get rid of them, don't you think the AI labs themselves would've done it before releasing the models?
I think nowadays defeating the detection probably looks like finetuning a smaller LLM and getting it to paraphrase the text from the other one (or just using a more obscure finetune: it'll probably have its own cliches and habits but it will be at least different). As an added bonus this also likely removes the fingerprinting from the output as well. But I think most people are not going to bother with this.
> To those who read broadly, the hand of the LLM is so clear it’s as if the writer’s intellectual fly is open
I dunno, man, according to Hardcover, I've read 76 fiction books this year, and I can't tell. All the "AI tells" fail the vibe check. I'm a writer and I get flagged by many of them.
I vaguely recall that researchers were able to train people to tell, but only for a minority language that AIs likely aren't particularly good at mimicking, and after training.
This whole thing reminds me of how "you can recognize a vegan because they'll tell you." There, you have a ton of false negatives (i.e., since you aren't polling people to find out if they're vegan, you're only flagging the obvious vegans and missing all the regular people who happen to be vegan).
Except here, it's a bunch of false positives and negatives I bet. You don't really have a way of knowing, so you're accusing some people (without complete accuracy) and missing some people (without complete accuracy). But you have no way of knowing, so you're just like "hell yeah, my vibes tell me I'm right."
I think anyone claiming 100% accuracy is wrong, but the recent Claude models, for example, have a writing style that is sufficiently distinct that claiming people can't recognize it is like claiming you can't recognize the styles of particular famous authors. Yes, particular elements of their writing are going to be used by others, and it's possible to disguise their style or emulate it deliberately, but it's pretty hard to accidentally write like them.
> Indeed, Pangram has become important to so many of us that I was thrilled when Pangram Labs co-founder and CEO Max Spero joined us recently on Oxide and Friends.
Is obvious AI-assisted writing better or worse than an obvious PR quid pro quo and/or cross-promotion?
This is (obviously?) false, but considering how well-capitalized we are at the moment, you do have me wondering what a quid pro quo would be for; perhaps in this fictional universe Pangram has lucked into some of the PCIe clock buffers that we've been scrambling to secure enough of?
By "quid pro quo" I wasn't suggesting that Pangram's PR people's podcast placement was pay-for-play, just that they traded access for your positioning of their tech and their exec in your content marketing efforts.
That's pretty normal, but the point is that a blog post which is 35% Pangram promotion may not actually be less annoying than the use of AI to help write blog posts.
Yeah, fair -- and definitely not: I am earnestly just a fan of what they built (and I also think it's really important as a way of getting a check against rampant LLM use).
> Today, legitimate businesses are very careful about how they use bulk e-mail
I don’t think this is remotely true. Sure, they’re legally obliged to let you unsubscribe, and sure, it’s not dick pills, but every US company will immediately send you a newsletter when you purchase something, review requests and, if they/you use Shop for checkout, expect an abandoned cart reminder.
PR pieces and software companies don’t write tutorials to be helpful, they are advertising to you. If the LLM can do it for cheap, they really don’t care.
I recently read this William Zinsser quote that inspired a nickname for this: Clotted Claude [1].
> Nobody has made the point better than George Orwell in his translation into modern bureaucratic fuzz of this famous verse from Ecclesiastes:
> > I returned and saw under the sun, that the race is not to the swift, nor the battle to the strong, neither yet bread to the wise, nor yet riches to men of understanding, nor yet favor to men of skill; but time and chance happeneth to them all.
> Orwell's version goes:
> > Objective consideration of contemporary phenomena compels the conclusion that success or failure in competitive activities exhibits no tendency to be commensurate with innate capacity, but that a considerable element of the unpredictable must invariably be taken into account.
> First notice how the two passages look. The first one at the top invites us to read it. The words are short and have air around them; they convey the rhythms of human speech. The second one is clotted with long words. It tells us instantly that a ponderous mind is at work. We don't want to go anywhere with a mind that expresses itself in such suffocating language. We don't even start to read.
[1] https://blog.kierangill.xyz/clotted-claude
Always a pleasure reading Bryan's writing; it's like Bryan is sitting there with you and saying the words (hard to convey the feeling).
Having dealt with Enterprise Hardware(TM) in a previous job, it’s refreshing simply to see someone look at that pile of crap and go “it doesn’t have to be that way” and then actually set out to prove it.
Glad those words proved prophetic!
[0] https://rustfoundation.org/media/how-the-rust-standard-libra...
AAUGH IT BURNS
Yes, quantity famously has a quality all its own, but perhaps not where correctness checks for something this central is concerned.
Unfortunately, it's not a browser extension and doesn't seem to have an API. I'd make a browser extension for this myself if it didn't involve paying for expensive Pangram usage.
I (am kinda forced to) use LLM to generate maybe 40% of the code at work, that is after my review and modifications. But I pretty much wrote all of the comments by myself. I can get into the flow by writing comments.
* If I need to learn something before I write about it, I rely on LLMs heavily to answer questions that I have about other source materials, e.g. to clear up ambiguities.
* I've recently started prompting it to find grammatical and spelling errors.
* And I've prompted it to find technical errors, places where I'm just wrong.
For all the prompting, I additionally tell it to not rewrite anything or offer any prose suggestions. It can keep all that to itself, thank you.
And I verify what it gives back for correctness.
(I'd encourage non-native speakers to use LLMs in much the same way. Don't sacrifice your human voice by letting the AI rewrite your words. Personally, I'd very much rather hear it from you, blemishes and all, than hear it from an AI.)
But if I could step back for a minute:
Why write anything?
If your writing goal is to flood the zone and make as much money as humanly possible from ads, then hell yeah, paperclip the everliving shit out of that.
But if your writing goal is to learn material or share material, then put that LLM on the back burner and don't use it to directly generate your text. It's bad for you, and the results are subpar.
When I'm learning something, I can go through reams of tokens and then, once I understand it, I digest that to single a paragraph about the topic. The paragraph is as concise and as helpful as I can make it. Now, I could just share the prompts that I went through with those pages of back-and-forth with the LLM... but wouldn't you rather just read the concise paragraph that gets the point across?
It's not hard to be better than an AI at writing for humans, so the minimum low bar to aim for is "better than an AI". And we can all get there with a small amount of practice. The real goal is to greatly exceed the LLMs' capabilities for sharing information.
Finally, I think everyone should write a lot. Blogs, morning pages, fiction, technical books, letters, whatever. Especially when it comes to technical content, nothing makes you do your research like putting your ass out in the ether to get flamed by 5 billion people. And teachers the world over know the best way to learn something is to teach it. Pick a topic, research, and write it up more clearly and concisely than anyone else ever has. You'll learn so much, and your readers will, as well. Writing fires up your brain. Don't give that up to an LLM.
It's common enough that it's training me to recognize and recoil from AI tics through sheer classical conditioning.
If a person reads AI generated text and does not notice, they by definition will not know about it.
There have been numerous cases of people accessing human created content as being AI.
There are instances where it seems relatively uncontroversial that it is AI generated, but without knowing both the amount of AI content people are exposed toand the amount that they register I don't think you can draw a conclusion of the overall state.
I do think the sensitivity to it can vary a lot: it depends a lot on how much and how closely you read the text, and how much exposure you have to LLM writing. Certainly it seems like a lot of people just don't really notice, or at least don't care much.
This is just "em dash redux." Except now we've moved on to accusing anyone who does "It's not X. It's Y." of being AI. In six months, it'll be "use of the word 'petrichor'" or something.
(TBH I think the biggest likelihood for false positives comes from heavy LLM users picking up their tics: it's a natural tendency and I've already seen a few cases where it seems like that has happened).
I'm also not reading pumpkin spice murder mysteries for a similar reason. I'm also not reading stories where everybody clapped. Actually, I'm already familiar with petrichor, so unless someone has surrounded the word "petrichor" with non-cliché prose, I'm also not going to read all that.
This statement does not logically cohere. "We can spot it because so many people make it easy to spot." You don't see how this is just petitio principii in action?
Maybe some people stop reading LLM slop purely because it violates their moral principles or whatever but most people bail out because slop is mentally painful to read. If you are a human and you write like today’s AI find a different writing style, not because reads like AI, but because it reads like shit.
I liked your piece, and agree with almost all of it, but I'm surprised by your faith in the accuracy of Pangram at detecting AI writing. Is your faith based on testing it with lots of writing of known origins, or are you just saying that it reaches the same conclusion that you do as a talented human?
In particular, I wondered if you have tried running all of your own writings through it to verify that it thinks you are human. I was struck by Freddie deBoer's recent piece where he did this and said it often failed: https://freddiedeboer.substack.com/p/i-wouldnt-say-pangram-i...
What percentage of false positive rejections would you find acceptable? Would you accept this even if it forced you to change the way you write?
As for my own writing, I didn't do this experiment, but one of my co-workers did -- and over 176 posts spanning 22 years, all 176 (well, 177 now with my latest) are 100% human. This is not hugely surprising in that (in addition to me having actually written them!) my voice is very... distinctive. What would be more entertaining would be to try to get an LLM to write like me and fool Pangram that way. I still think that this would be difficult based on the experiences that I've heard, but it wouldn't surprise me if you could pull it off (and I would assuredly find the result entertaining!).
In the dimensions that we use Pangram in the most actionable sense (namely, to audit our own public writing), I am unconcerned about false positives, and leave it to Oxide authors to rework/recast as needed. (Though it sounds like Freddie didn't even need to do that -- he just needed to provide a longer sample.)
I guess there is a kind of participatory element to the discourse where, if you want an audience, there is an editing process. Whereas in other cases, we wrote these as progress notes on an unknown journey, breadcrumbs or upturned stones to mark a path to the horizon.
Maybe it's the difference between writing as a mode of discovery, retreading the mental arc of a solution, and writing something honed to leave a mark.
The chief grief appears to be phoning in the whole process.
> Why do people have this reaction? Beyond having to endure aggravating stylistic tics, when reading a piece that has had substantial LLM assistance, we — the readers — don’t know what is real and what isn’t.
This is well said. But, here too, I would pause and reflect on what it means to (think you) know what is real and what isn't in a pre-LLM setting. For example, authority bias predates LLMs, and can have disastrous consequences.
I wish that were true, but I fear it may not be.
https://arstechnica.com/ai/2026/07/canadian-legislator-reads...
Pretty much sums up the issue re: workplace lazy AI dumping on folks as well.
Even then, I would say that using an LLM is robbing you of the process of writing, a process that is crucial to developing and understanding your own ideas.
Think about the last time you wrote something for consumption and the sentence to sentence thought processes you’re going through. I bet a lot of that was “is that right?” Or “does that make sense?” Or “am I communicating this at the level of my reader?”.
All of that is fundamental to your readers understanding, but more importantly, its fundamental to YOUR understanding.
this goes 10x for all the slide decks and google docs and wikislop everyone's trying to pass off as an accomplishment lately
[0] https://oxide-and-friends.transistor.fm/episodes/ai-detectio...
You can still influence their writing style in a broad manner that might look correct at a glance, but the repetitive little patterns that give it away will always be there - if it was that easy to get rid of them, don't you think the AI labs themselves would've done it before releasing the models?
I dunno, man, according to Hardcover, I've read 76 fiction books this year, and I can't tell. All the "AI tells" fail the vibe check. I'm a writer and I get flagged by many of them.
And according to PhD linguists with expertise in the field, most AI tells are just the equivalent of old wives' tales. https://www.youtube.com/watch?v=ORgKY9AlybA
I vaguely recall that researchers were able to train people to tell, but only for a minority language that AIs likely aren't particularly good at mimicking, and after training.
This whole thing reminds me of how "you can recognize a vegan because they'll tell you." There, you have a ton of false negatives (i.e., since you aren't polling people to find out if they're vegan, you're only flagging the obvious vegans and missing all the regular people who happen to be vegan).
Except here, it's a bunch of false positives and negatives I bet. You don't really have a way of knowing, so you're accusing some people (without complete accuracy) and missing some people (without complete accuracy). But you have no way of knowing, so you're just like "hell yeah, my vibes tell me I'm right."
Research and experts disagree.
If you want to read something good, read a good book.
Is obvious AI-assisted writing better or worse than an obvious PR quid pro quo and/or cross-promotion?
That's pretty normal, but the point is that a blog post which is 35% Pangram promotion may not actually be less annoying than the use of AI to help write blog posts.
I don’t think this is remotely true. Sure, they’re legally obliged to let you unsubscribe, and sure, it’s not dick pills, but every US company will immediately send you a newsletter when you purchase something, review requests and, if they/you use Shop for checkout, expect an abandoned cart reminder.
PR pieces and software companies don’t write tutorials to be helpful, they are advertising to you. If the LLM can do it for cheap, they really don’t care.