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If I'm reading something on the internet, I'm either reading it to learn, or I'm reading it to be persuaded. If I wanted the LLM to teach me (thank you, no), I would ask an LLM. I'm reading your website/newsletter/email because I want to hear from you.. If you can't be bothered to put your time into writing it and teaching me what you think, why should I be bothered to read it?
LLMs enables them to post (or, rather, paste) something, in an attempt to trick others into believing they do have something to say.
They think they sound smart now, because LLMs are "very much the “stupid person’s idea of an intelligent person”"[1]
So now we are flooded with stupid people's attempts to show us how smart they are.
[1] https://news.ycombinator.com/item?id=49300763
Because it wasn't pre-AI. It was normal for people to post links as arguments, counterarguments, etc. It annoyed me, and I didn't bother clicking most of them, and would occasionally tell them "If you can't bother articulating your thoughts, I can't be bothered with that link".
But I was always in the minority. If that behavior is acceptable to the masses, so is AI generated content.
(And, BTW, the "link as argument" bugs me a lot more than AI responses. If I know the person, I can assume the person has done some due diligence in reviewing the AI response before sending it to me.)
> If I wanted the LLM to teach me (thank you, no), I would ask an LLM. I'm reading your website/newsletter/email because I want to hear from you.
To play the devil's advocate: it's far from a given that had you asked the LLM it would have given you a comparable response to the one you got. You're precluding the possibility that the other party instructed the LLM to write what he intended to say.
This is, of course, before people started sending Instagram Reel or YouTube Short links. Or, maybe worse, links to 3-hour-long YouTube podcasts.
After a few years of this I also just stopped clicking thinks and refused to engage in conversations that seemed to be going that direction.
As with everything, it depends on who is sending it. For some people, yes. For the rest (majority), it's a case of
He: Makes some claim
Me: I question some aspect of it.
... Potential back and forth
He: Oh, just look at this video/article/book that explains and answers all your concerns.
Thing is, in the majority of the cases, it didn't address my concern. I'd write up something in detail, and get back either silence or yet another link. Took way too long for me to realize I shouldn't bother clicking the link to begin with.
Arguably things like Cliff's Notes and "for dummies" books were sating this impulse before that, I wouldn't be surprised if the line can be traced back further.
Since dropping LLMs altogether I've made the connection to the impulse for a superficial jump to the conclusion just by noticing how I use web search, or feverishly scan some text to get to the point.
Theoretically I studied critical thinking and have learned decades ago how to recognize when this is OK and when it's a superficial placation of some addiction to closing the book on a subject or micro-subject... but boy whatever good instincts I might have developed back then have significantly eroded over time. Trying to reclaim that again is pretty humbling.
Not so. Posting links is not the same. If you were to copy+paste someone's blog post into the forum and post is as your own, without attribution, it would be seen as plagiarism. Everyone understands this; you're trying to pass another's work as your own.
On X there's actually a good modern equivalent to "posting links" which is @grok, and letting Grok add to the thread. There is occasional teasing but it's nothing like posting slop under your own name.
ChatGPT actually allows something like this; you can share a link to the conversation.
Everyone is free to do this, instead of using ChatGPT as a ghostwriter.
"ChatGPT says ... "?
> Everyone is free to do this, instead of using ChatGPT as a ghostwriter.
I guess the bulk of folks use ChatGPT as the preferred chatbot, but people like me have a completely different interface that doesn't use ChatGPT. I can't send someone links to my conversation.
(And as an aside, over 80% of ChatGPT conversation links I click on don't work - not sure if they clean them after some time, or I need to be logged in, etc).
And even if it did work, I really don't want to read the whole conversation. Just send me the relevant part that ChatGPT said!
That is not currently possible. At best, you could train on millions of personal examples of style, eg historical emails, reports, etc, and you'd still never get what the person would have written.
I'd be astonished if an LLM didn't even miss important nuance, data, and focus on the wrong point.
It think the parent's point was, hearing a summary of what someone was thinking, from a second party isn't interesting as data from the primary source.
When you come to listen to Bob the Great, having a minion walk put and paraphrase Bob's words isnt the same. Human, LLM, or not.
You wouldn't get it verbatim, but your mistrust in AI reflecting what you intended to say is unwarranted.
I use LLMs to clean up poorly OCR'd hand written notes. It's the exception where I need to "fix" its output. It figures out what the notes intended, and writes it up fairly well.
> It think the parent's point was, hearing a summary of what someone was thinking, from a second party isn't interesting as data from the primary source.
For a lot (most?) of AI slop, I agree. But pre-LLMs, this was universally a bad idea. The first draft always sucked, and was easy to misunderstand. A good LLM, with a good system prompt, will usually produce something better than the input it is fed. Most people are poor at expressing their thoughts.
> When you come to listen to Bob the Great, having a minion walk put and paraphrase Bob's words isnt the same. Human, LLM, or not.
Most people aren't Bob The Great, but Bob The Incoherent.
No, linking blog post and posting AI generated content is not the same. One is ok, other is not.
Meet "the masses".
Sorry, but no. Sending me a link as an alternative to having a conversation is totally not OK.
I do feel like there is some middle ground where AI helps, but there's this one guy who keeps emailing everyone with walls of dumbass text and does not integrate or understand the feedback he gets when we are telling him what he needs to do. He just runs it though the LLM and replies and then forgets half of it in the next email engagement which functions as /clear on his end apparently. Like... dude I have ChatGPT and Claude, too. Actually read your goddamn emails.
it probably doesn't help that the US education system is so deeply broken with how rooted it is in segregation-era practices [0][1][2]. the average gets dragged down quite a bit when some districts receive so much money that they're flying their Spell Bowl teams to nationals and putting them up in hotels while another one a few miles away can't afford to pay for textbooks. average reading levels suffer and consequently so too does the effort that people put into writing well and reading critically
[0] https://www.shankerinstitute.org/segfunding
[1] https://www.jchs.harvard.edu/research-areas/working-papers/s...
[2] https://edlawcenter.org/research/the-color-of-opportunity/
- I'm open to seeing information from an AI (I'm fine with an LLM "teaching me") so long as it is high quality. That does require human inspection.
- I've seen a related bit about AI-written emails where the commenter would rather see the prompt. I agree. As a software engineer, I like reproducibility. If an AI outputs an interesting result, show me the "source" (i.e. the model, effort, prompt, etc.). I wouldn't say no to an added one-liner summarizing a long response.
- In the end this will be a difficult attitude to prosecute as it boils down to a Chinese-room-style preference. You want to hear from some being on the other end of a labyrinth of transmission lines and logic gates. As language models continue to develop, what goes on inside the room will be difficult to verify.
- The day may come where, rather than people passing AI off as their own thought, they will pass off their own thought as AI. "If I wanted a human to teach me (thank you, no), I would ask a human." The coming generations may value AI's opinion much more highly, whether that's right or not. And people may want to usurp that credibility for themselves.
I'd like them to go further and delete links to AI-generated content, but I haven't been able to persuade management to do that yet.
Very low effort the ensnare someone and waste their time for a bit, even though it is pretty quickly obvious what they are doing.
The above still implies some effort going into good prompting, however. I completely agree about the uselessness of "build me a castle; no bugs plz" style generated articles.
It is almost always low information density. Sometimes I can get it to remove most of the extraordinarily cliche phrases it injects into everything, along with the tortured, gauche prose (especially Claude). But what remains is an expansion algorithm: it takes a simple idea and expands it like polyurethane foam to fill however much space it can take, the volume filled mainly by grammatical syntax and only traced with any actual semantic meaning.
You are likely not the target audience anymore and they don't care if you're going to read it.
There has even been an advert extoling the behaviour (I forget which phone OS brand it was for, which is a shame as I might like to try avoid buying anything from them): "if a friend asks a question and your phone can answer directly, shouldn't it?", to which my gut reaction is "absolutely fucking not, it shouldn't". My more considered reaction is pretty much exactly the same.
For a start I'd consider it rude and if I found out it was happening reduce my fucking my communication with that person, or call instead if messaging (unless it seems they have a fake them taking calls, no doubt that'll be a thing sooner rather than later). And quite frankly I will reply when I'm good and ready, thankyouverymuch, instant automated reactions plays far too much into the "always available" thing that I don't care for even without AI.
I look forward to future news stories where people with such features turned on suffer PII exfoliation or other hacks when someone finds a prompt injection hole, or just uses the feature as designed because the user has been too open with what they have given it access to and who it should respond to (perhaps by inaction, because the defaults will likely be wide open for "convenience" until there is uproar).
If your favourite creator is engaged in generating this style of content, then I think it says more about your tastes than their morals.
Don't smash the like button, don't share and unsubscribe.
Like I don’t need to be placated by someone else’s AI agent when I call out something in a PR, especially when they have such an aversion to conciseness and resolution
Back in the 00's you would have been allowed to mock and abuse people who did stuff like that -- and the shame might have put an end to it. Maybe the loophole is you tell their Ai agent to f' off not them.
Depends on his countenance and how good a mood I'm feeling in!
In any case I might well ask how much time went into at least reviewing the output. Or I say (rather than a flat AI;WR) "I'll scan that and have an AI summerise it for me later".
None of this is new. People who act like they were born yesterday at every instance in this parade of slop induced phenomena are more grating to me than the slop itself.
Just take your response. Reads as incredibly lazy to me. I've read pretty much the exact same sentence so many times by now. At a certain point, what distinguishes a mob of humans repeating each other from an LLM? Original, high quality commentary is exceedingly rare. Surely you must already know this. Of all the words written on the internet, most must be garbage. It was not LLMs that tipped this balance. In my experience, the average LLM actually speaks as a superior interlocutor to the average person online. It comes with the benefit that if you get a lame response, you probably deserve it for asking such a lame question.
Most humans are not worth reading. Sorry, but this should be obvious to anyone who has tried to research or investigate anything with significant rigor. People don't appreciate enough that many times when something comes up where the LLM is doing something "dumb" it is obviously because they are trained on a corpus authored by dumb humans. My favorite example of this is when people complained in a geopolitical simulation the LLM happily deployed a "tactical nuke" as if the phrase "tactical nuke" is not itself aptly described as a wholly human authored hallucination.
People are using LLMs at work or w/e to get back time from their corporate bosses that don't care about them. Not everyone has the luxury of being able to act like an enlightenment era university student. Most words published have to be akin to "we'd like to reach out to your about your car's extended warranty" anyway. Many blogs are more or less cover for the same, or at the very least indirectly subsidized by such commercial interests. If that is not offensive, frankly it's not clear why it would be more offensive to have an AI author it. It's mostly all pablum anyway.
No one who actually cares about a topic will use a LLM. The rest of them might as well, because it makes almost no difference. If you had a clearer model of this incentive structure you doubtlessly on the whole benefit from as a modern human typing on hackernews, instead of this knee-jerk reactive one ("universally offensive and reviling") you would learn to just move on and get over it. If you want more people to have the luxury of your enlightened discernment, you should probably celebrate LLMs automating away the majority of so-called "knowledge work" so that the economy, which has largely already solved for basic human needs, can achieve a state of hyper optimization, algorithmic foresight and UBI where none of us have to work and we can spend all our time in symposium with each other, given that is what you seem to desire for yourself and other humans. We will not get there if at every turn LLMs are demonized on these incessantly banal terms.
While I'm hoping the AI bubble pops sooner than later, as I still hold out hope that knowledge work will continue to require knowledgeable humans at the helm, I wanted to add on that I think you make a good point.
A lot of users online can't read[1], and between a lack of pure reading comprehension, poor media literacy habits draining one's brains and ability to focus, and finally the increase in AI-enabled content, I'm not surprised at how redditor-cultured netizens love to throw up their hands and say "AI;DR!", as if that makes them somehow morally superior.
These users won't read dense texts or try to elucidate meaning out of human-written works, they ask for AI summaries or manual "TL;DR" entries as it is, now the AI is use is being used as an excuse to enable mental laziness and lack of attempts to read information.
So while I get lost in wikipedia walks because I'm looking for written entertainment for 'learning', they are getting mind-melted by algorithms, therefore, an uncharitable part of me wants to let the meat-proxying continue.
And then the other part of me that gets annoyed by having to sift through AI-slop-infested text to see what if any meat there may be in there decides that perhaps that's not as helpful of an attitude as I should take after all, because if everybody decides to meat-proxy the world away, I'll be unhappier than letting lazy functionally-illiterate-users complain aloud, even as the latter is boring reading as well.
[1] in the https://coding2learn.org/blog/2013/07/29/kids-cant-use-compu... sense
Features are coming out and metrics are improving, but we’re basically in a post readability code base, with the occasional performative comment about a variable name.
I don’t really know how to address this situation or if it needs addressed. I certainly don’t read the long-winded AI comments or the AI documentation, but perhaps it’s useful for the AI on its next pass.
I don’t have time to go through and flag everything or even read the thousands of lines of code changes that are happening.
How do you enforce that?
They totally gotta be doing that at OpenAI. Meeting invitees: You, co-workers, GPT 5.6.
It might be touching one line of actual code in a file, and take advantage of it to remove 20+ lines of actual useful comments.
Everybody is talking about the opposite, so I'm wondering if this is rare.
I ask because when I started informing it I made personal edits, it stopped doing this kind of thing so often and let me work _with_ it more.
My saved prompt now says never to assume a file has not been edited since the last time it was read between prompts.
Give feedback that about the docs and block merging till the issue is resolved.
Actually, rejecting them is precisely what will make them easy.
"Sorry, the comments are so bad I'm stopping here. Please fix them and then I'll resume the code review."
You're giving everybody (including yourself) more work by:
1. Reviewing the code (even if you skip the documentation).
2. Letting too many abstruse comments in which everyone in the team will have to read.
3. Allowing the behavior to continue.
Become the bottleneck so the team can talk about it. If they decide this shouldn't be a blocker, just declare you won't review the comments going forward.
Write REVIEW.md.
I have CC check itself pretty well.
I also put into agent/claude/review instructions to write using simple English skill and humanizer skill. Then not to write redundant comments.
It’s not perfect but definitely catches lots of slop.
Yes, that's the entire point. And it is extremely useful. Why wouldn't I want this?
After reading the long verbose promising article, in the end, the guy (with the help of the agent) only managed to implement access to the PCIe config space so that lspci on the remote machine works and shows the remote PCIe device, but that's all. It never addressed the issues above nor even mentioned them. The code was AI generated. The article was AI-written. The article never made a reference to DMA, interrupts, MSIX-X, IOMMU, IOTLB, virtual memory, etc, but it made big claims on next-gen datacenter disaggregated architecture, boosting GPU utilization, reducing large scale inference costs, etc.
Anyway, you get my point: big long beautiful words, but zero nuance.
Clearly you either didn't read it, misunderstood it, disbelieved it, or just DGAF :)
If you must use AI in this way, I'd tell it to take a _much_ lighter touch. It cleans things up without washing away the personality of your writing. ChatGPT example:
> adjust the following for spelling and grammar, making MINIMAL alterations to the original wording and content. do NOT rewrite, just clean up what is already there: [post]
https://chatgpt.com/share/6a8382b9-3620-83eb-b17e-4397aee5ad...
AI writing is like the voice anonymizer they'd use in TV interviews when they wanted to hide the identity of the person speaking. The output is more adherant to convention but likewise more impersonal and exhausting, and when it's used by too many people it's so indistint that it becomes noise.
It might look good to you in isolation, because you're excited to see that it says what you meant to say without the features you feel self-conscious about, but to others it just reads like yet another sample of the same old AI slop. The message gets entirely lost behind that.
So the polite version I use now is: "Hey, just to get a bit more context, what was the original problem you were trying to solve?".
That gets them to distill their own problem a bit further.
Sounds like this isn't everyone, but rather, it's people who have nothing to say, and -- even after they've "sourced ideas" -- they don't know how to reason about it, nor how to communicate it.
This isn't everyone. This is people engaged in generating noise, for the sake of noise.
It turned out his prompt was equally uninspired... 1 or 2 sentences. That was the thought he put into it, which then had us spending hours trying to figure out the AI reply. He could have saved the whole team a full day by just sending the prompt... or nothing at all.
"Here is the prompt and model I used, here is the portion of the output that stuck out to me as relevant and useful, and here, in my own words, is why I think that is so."
i.e. Highlight the good part of the output for me and, preferably, explain why you think it's good. Otherwise it's the same thing as posting slop, only with extra steps. You thought it was worth posting and I thought that made it worth looking at, but now I'm sorting through a bunch of monkey garbage looking for what made you think that. Being a different person, I may not find that hidden gem and I may become quite frustrated with you.
________________
[1]https://en.wikipedia.org/wiki/Infinite_monkey_theorem
~actual prompt i sent in to claude last week. doing what you propose would be basically impossible / nonsensical, and further undo the entire exercise, sending all the money spent on the tokens down the toilet.
put differently, if you use agents in any actually useful manner, the principle you describe erases whatever value they did end up providing. though since the whole underlying premise is that ai never provides any value, maybe that's the intended result and is as expected. in which case, i'd argue such a desire is more than a bit demagogue.
[0] https://news.ycombinator.com/item?id=49151933
Alice being AI or a real person doesn't change those factors much.
https://news.ycombinator.com/item?id=46991394
Not to toot my own horn, but...[0]
On a more serious note, we're planning a trip with family, and my mother-in-law asked if I'd read "the planning doc" yet.
It was a shared ChatGPT thread. Thankfully I read enough LLM output to skim it easily and avoid offending her (:
[0]https://x.com/jumploops/status/2031936768023638069
Also, I may have already started looking into it, but now this other person just wasted money.
I, of course, had no choice but to apologize. I hope I was right, but clearly there is some chance I was wrong.
Before I think he was using AI and other tools to translate his messages since english isn't his first language. His own words, then AI translated it. Sounded kinda clunky, but I could sense the human behind the words and I gave grace since I can only imagine how hard it is to properly communicate your ideas when English isn't your first language.
But now it's gotten to a point where I can tell he's not using it for just translation. I'm gonna need to chat with him.
Redacted example below
```Hey @PERSON_WHO_ASKED_QUESTION Both good, and the retrieval one isn't written down anywhere. In order.
One corpus or four. My lean is one. Same chunks and embeddings tables, source_type column to tell them apart.
Values I'd propose, flat rather than nested: paper, dataset_description, dataset_readme, dataset_contributors, dataset_records, dataset_files. Description and readme split because their units already differ, one row versus one row per paragraph. A discriminator that can't separate those isn't doing much. The existing 440 rows would need backfilling to paper.
Chunk id in the same spirit: dataset doi, source type, ord. So EXAMPLE_DOI.
Worth checking before any of this matters: does chunks.doi carry a foreign key to papers.doi in 0001_init.sql? If it does, a metadata chunk with a dataset doi can't go in that table at all, and separate storage stops being a choice. Ten second read, I haven't done it. Shout if you get there first.
Retrieval is the one that's bigger than it looks. Search once across everything and nothing guarantees a paper chunk and a metadata chunk both land in the top k. The facts we want relate the two, and the generator can only write those if it sees both sides in the same window. So if one type systematically wins the ranking, that class of fact doesn't get worse. It becomes impossible.
Which way it goes I don't know. Two mechanisms pull opposite ways. Metadata chunks are short, tens of tokens against roughly 450 for a paper chunk, so they may just lose. But we embed context header plus text, and on a short chunk the header is most of the vector. The header is the dataset name, which is also most of the query. That points the other way.
Cheaper to measure than argue. Load one dataset's metadata, run a normal dataset level query, record the rank of the first chunk of each source type. Runnable as soon as any one of our four subtasks lands.
After that it's one pool, per source with quotas, or one pool with a floor per source type. I'd rather not pick before there's a measurement. ```
Hell no. Sourcing ideas? From AI? Are you kidding? Essentially guaranteeing they won't be original? Refining prose? Making it much more likely it'll be generic as hell. Call me old fashioned, but while I can certainly understand asking LLMs concrete questions - how do I fix this, where can I unsubscribe from that - using AI to help communicate seems bass-ackwards. LLMs have no idea what you're talking about - they're free associating probabilistic sentences! What on earth value could that have in communicating. They self contradict, hallucinate, speak most frequently in a weird smug corporatese. How is this an attractive use case of the technology?
I think sometimes people have a big long thread with Claude where they feel enthusiastic about the back and forth being very productive -- and then they genuinely want to share the summary of the conversation with their colleagues so that they can feel it too. It's not just typing a short prompt and copy/pasting the response.
But, Claude, especially Opus is so unnecessarily flowery, and smug -- and it's so identifiably characteristic.
It somehow rubs salt in the wound: "I didn't take the time to write this out in my own words, so now you get to listen to this petulant asshole mansplain it to you".
If it would get to the point, and with some humility, it would be a much different proposition.
However there's only 10% of AI-generated writing that is worth reading. If some articles convince me that there's somebody behind it contributing valuable understanding, I'm willing to overlook the telltale AI mannerisms. It's understandable that some domain experts aren't very proficient in English.
That said, statistically speaking 90% AI-generated pieces are a waste of readers' time. It's a good strategy to simply skip them.
I know this looks like a bot comment. It's not. It's a much older style of writing known as Chinglish. That's why as a non-native English speaker, I can totally understand why someone would want to use AI to help with their writing.
I already saw someone getting fired for only producing AI text as part of their entire output, after being unable to explain what they “wrote” in multiple situations.
And recently my company enacted a mandate that text made for humans should not be AI generated.
Sooner or later every company will start realizing that this is just people too lazy to actually work and coasting on a paycheck, at the expense of every other worker.
Much how like essay's have a word limit - and people think you should max it out.
We will go in the opposite direction - which I'll be glad about!
There were too many incidents of “this doesn’t look right” in the same week, so when their boss did a thorough check a couple days after, it was all fake, everything. Eventually they admitted and got canned.
TL;DR works because I can see the length at a glance
And you cannot tell all AI. Only mainstream crap like ChatGPT and Gemini which is full of cached tropes and boilerplate formats so it all sounds the same.
My custom invoicing software automates notes based on years of my previous notes and tasks I did - looks nothing like AI.
Use a real library and local model, mess with settings, there is a lot more to this than the mainstream consumer apps.
i have what ill call a "condition" where i fear assuming someone did something stupid is insulting. i try not to patronize people because i also assume that would be insulting. this leads to issues where sometimes people really want to be lead to water rather than make an implied connection themselves
this is a roundabout way of saying, is there a genuinely polite way to tell colleagues posting ai copypasta makes them seem ignorant? i dont think ai:dr is workplace appropriate. id like to tell people gently and avoid patronizing if possible
The problem is that those kinds of responses are rare in the tech world. But when you have someone competent at the helm, it's much better than reading human slop.
After you've exhausted your favorite audiobooks, I mean
Like, I love The Wind in the Willows, but I wish the part where Toad and the gang go on the road in the cart lasted for longer. I asked ChatGPT to invent some fill-in chapters matching the same style and speak it out loud, and it kinda did OK actually.
Claude, post that wall of output to Slack yourself. Make no mistakes.
Its awfully similiar to bitching about reading mails on a computer and attacking the sender.
The virtue signaling is beyond me. I dont care about AI;DR or TL;DR.
Give me good content. And I will read it.
No, no, no, no - the whole point of customer support is that I am having a problem that requires attention from a representative of the business I am dealing with. Businesses really don't like doing this; they call it a cost center to have to talk to their own customers, so they staff their call centers with increasingly useless script-readers designed specifically to shield the people with knowledge of the matter you're facing against customers like you. This is a great solution for dealing with technically illiterate people who don't do basic troubleshooting and terrible for literally anyone else who actually tries to be a good customer.
> I’ve been thinking about it ever since. Why? Because there is growing grumbling among everyone about AI writing. And it’s not just others; it’s me!
Classic AI "its not just, its..."
> AI;DR (AI; didn’t read) is the solution for AI slop.
Maybe I'm the odd one out here and didn't plumb the worse-depths of social media, but I feel I need to defend good old TLDR as a slightly different, and less-hostile animal.
It can be a moral condemnation of the poster, where they're disrespecting everyone else's time by posting something big and vague... But it usually isn't. At least half the time TLDR is someone providing a summary because they think it'd be useful (even of it's sometimes a hostile interpretation.)
I'd say that sounds about the same for ai;dr. I could see myself posting a prompt like that in front of the generated report.
- Why does it matter who or what wrote a thing? And how would you know if the /content/ is worthwhile, unless you read it...
- The ability to "detect AI" is imperfect at best. 90% AI written? 5%? How would you know, unless you read it....
- If you didn't read it, then why brag about it with an "AI;DR"?
- If you are wrong, and you announce it to the world, how would it feel to someone who spent a lot of time and energy writing?
Two reasons:
1. I can't effectively engage in follow-up conversation with the "author." I can't do it with the human (principal) because they didn't write it and can't explain it--and, in fact, they may not even personally agree with all if it!
2. It shifts the cognitive burden from writer to reader. What makes writing hard, and valuable, is the effort put into translating one's raw, unfiltered thoughts into writing that is easy to comprehend, and the writer's own unique personality that is expressed in it. As ambient prose, AI-generated writing is often not only more difficult to read than human-drafted prose, but it also has this "sameness" quality that makes every "author" have the same personality.
The purpose of writing is to communicate. The person communicating is an important part of the message.
Consider the sentence "I'm waiting for you at home." It really matters if it's said by your loving wife or an evil clown. You can extrapolate from this.
Bragging about it is weird, but I will use it like I use 'RTFM'.
And detectability - My AI-DAR (radar), is fairly fined tuned but not perfect, so if I make a mistake, oh well, the point is I'm protecting my time.
Because what the clanker produces is almost always bad output compared to what a capable human would produce. Furthermore, even an incapable human is better than a clanker, because at least humans have intrinsic value that they bring to the table. Finally, it's just plain disrespectful to refuse to take some time to answer a question and hand it off to the clanker.
It's a reference to TL;DR. If you can understand that, you can understand AI;DR.
Why would you think it would?
You didn't put any meaningful thought into it.
AI writing is rapidly improving. Human writing, on average not so much.
>If you’re not bothered enough to review and edit it...
>...then I’m not going to bother reading it.
Just playing Devil's Advocate here, but we've had copywriters and editors for generations now. Not reading something because AI did the post-writing work feels kinda weak. Skip stuff started from AI, fine, but this is just because it's AI, not because the author didn't do the task. And I do get the point is that if an AI did /most/ of the work, ok to that, too, but not post-write processing alone.
As an anecdote, someone posted a blogpost on Linkedin on using agents to implement a driver to access PCIe devices over TCP/IP. I was intrigued because that's not an easy task for several reasons, like handling PCIe interrupts and DMA. For exmaple, how does the remote machine map the device's PCIe BARs? And when it issues I/O to the devices registers, how are these reads and writes transferred to the remote device. In the end, this is just some virtual memory. In a local machine, this is either directly mapped to the PCIe physical addresses or some IOMMU virtual address space which is then translated by the hardware upon CPU/device/VM access.
After reading the long verbose promising article, in the end, the guy (with the help of the agent) only managed to implement access to the PCIe config space so that lspci on the remote machine works and shows the remote PCIe device, but that's all. It never addressed the issues above nor even mentioned them. The code was AI generated. The article was AI-written. The article never made a reference to DMA, interrupts, MSIX-X, IOMMU, IOTLB, virtual memory, etc, but it made big claims on next-gen datacenter disaggregated architecture, boosting GPU utilization, reducing large scale inference costs, etc.
Anyway, you get my point: big long beautiful words, but zero nuance.
did you formerly hire copywriters for this task?
So in the end, I don't care if a human wrote it or an AI, I don't want to read it either way.
What's wrong with copyrighters? They write like corporations, not like humans (see the Cluetrain Manifesto for more on this). They sound like nobody - literally inhuman. I don't want to read that. I want to hear a human voice. If I can't hear that in your writing, I don't need to read it.
The implication is that expertise is being devalued in real time, and in a sense it really is, but I think that most people really do need to face the reality of their emotions and where it comes from. For myself personally, I have no qualms about reading or even engaging with AI content, as long as the content itself is of quality and truthful.
I described a problem to a new hire. Symptoms, how to reproduce, etc. and asked him to go investigate it, pin down the problem and solve it. It was a non-trivial and hard to reproduce bug.
Instead of doing any of that, he sent back very quickly a wall of text. Generic advice. Nothing relevant. Along with this he sent a PR that would have broken prod.
It was useless, and basically amounted to throwing the assignment back in my face. Since I, like literally everyone else, already have Claude Code, having an expensive person use it for me (slowly and badly) is worthless. In fact, it's negative value, and a huge waste of time. ChatGPT would have given me the same wall of text for pennies.
In the end I got rid of him.
I'm sure he thought I was "intimidated", and had "ego" issues. But he's actually just redundant.
The bar for what counts as expertise is shifting. If someone with relatively little background can use an LLM to get to a reasonably informed answer much faster than before, then experience and credentials alone carry a bit less signalling power than they used to. That obviously doesn't mean the inexperienced person suddenly has the judgement, context or intuition of an actual expert, but I do think some of the hostility toward AI comes from discomfort with that change.
AI is still wrong, goes in weird circular loops, and doesn't solve the fundamental human problems around judgement, organization, learning curves, accountability, etc. But it does seem to be raising the baseline expectation for what a competent knowledge worker should produce, and I feel that shift is genuinely uncomfortable for a lot of people who based their identities around being rigorous abstract problem solvers.
Is that an ego issue? Doesn't seem like it to me.
Plus I’ve been seeing where AI productivity is highest and it’s been when leveraged by an expert.