For quite a while, I like use LLM to refine and fix my grammar issue, but my colleagues and professors reminds me that it was way too obvious. They said they can tolerate some mistakes in my words, but no tolerance for AI generated content.
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
More to the point, Hacker News is much more interesting for encouraging idiosyncratic (i.e. original, diverse, nuanced views of specific) human viewpoints, not just being raw technical information.
Model rewrites remove much of specific human dimension.
Great. Isn't that part of being anonymous if one so desires? This would have decent potential to avoid stylometry deanonymization, no?
Also, a journalist in a hostile regime might be one example, but a user that posted _very_ personal things under an alt account is also another example, and I bet the latter is much more common than the former.
And no, while I'm sure LLMs can be used for stylometry in academic exercises, I don't think they'll really enable any sort of automatic mass-deanonymization of random social media accounts. But who knows, the US government probably has a bunch of new PRISM-like programs going on already, so it might happen.
When I was young, and learning my technical skills, then naturally I was focused on improving those skills. At that age I defined myself by what I did, and so my self worth was related to my skills. And while the skills are not hard to acquire, not many did, and they were well paid. All of which made me value them even more.
As I've grown older though I discovered my best parts had nothing to do with tech skills. My best parts (work wise) was in translating those skills into a viable business, hiring the right people, focusing my attention where it's needed (and getting out the way where it's not.) My best parts at work are my human relationships with colleagues, customers, prospects and so on.
Outside of work my technical skills mean nothing. My family and friends couldn't care less. They barely know I have drills at all, and no idea if I'm any good or not. In that space compassion, loyalty, reliability, kindness, generosity, helpfulness, positivity, contentment and so on are far (far) more important.
I hope at my funeral people remember those things. Whether I could set up email or drive an AI will (hopefully) not even be in the top 10.
It’s why overuse of AI is a bad call imo. You skip a part of the journey. Like Guy Kawasaki says “make something meaningful”. If we are all AIs talking to eachother, everything becomes meaningless, we will become a simulation of surrogates.
That said, human compassion, relating to others and everything you mentioned trumps everything else.
Same goes for art (which is often what it's compared to), some part of art is creative, but the vast majority of art that people get paid salaries for is "just work"; designing a website, doing graphics work for a video game or TV production, that kinda thing.
tl;dr, AI won't replace artisans but it's a tool that can help increase productivity / reduce costs. Emphasis on can, because it's a lot more complex than "same output in less time".
Given you're interacting with a competent hacker (i.e. a person who is into tech not for money and for tinkering), you can't impress them. You can pique their interest, they may praise you, but if they are informed enough, anything looking like magic can be dissected easily. So technical excellence is meaningless.
Given you're interacting with a competent hacker again, everything technical will be subjective. Creating is deciding trade-offs all the way down and beyond. Their preferences will probably lay at a difference balance of trade-offs. Even though you catch "objective" perfection, even this perfection has nuances (see USB audio interfaces. They all have flat response curves, but they all sound different, for example), hence, technical excellence is not only meaningless, it's subjective.
On a deeper level, a genuine person who knows its cookies well, even though with gaps is a much more interesting and nicer person to interact with. They'll be genuinely interested in talking with you, and learn something from you, or show what they know gently, so both parties can grow together. They might not be knowledgeable in most intricate details, but they are genuinely human and open to improvement and into the conversation itself, not to prove themselves and win a meaningless battle to stroke their own ego.
An LLM generated response is similar. It's lazy, it's impersonated, it's like low quality canned food. A new user recently has written an LLM generated rebuttal to one of my comments. It's white-labeled gibberish, insincere word-skirmish. It's so off-putting that I don't see the point to reply them. They'll just paste it to a non-descript box and will add "write a rebuttal reply, press this point". This is not a discussion, this is a meaningless fight for internet points.
I prefer genuine opinions, imperfect replies, vulnerable humans at the other end of the wire. Not a box of numbers spitting out grammatically correct yet empty sentences.
I disagree with this and would instead consider that a technical expert (in any field) being impressed with your work can be the most satisfying reward of craft.
Laypeople can be awed, but the expert can bestow an entirely different quality of respect to your work.
I for one, don't care whether anyone is impressed by my work. That's a nice bonus, but not a requirement. Instead, when I improve my work w.r.t. my previous one, the satisfaction I get is way bigger than an external validation. I seek my satisfaction inside myself.
That's completely true that I love discussing what I did with a competent technical expert, yet it's not why I'm doing this.
> That's completely true that I love discussing what I did with a competent technical expert, yet it's not why I'm doing this.
I agree with this sentiment completely. I do consider "the reason for craft" (which is a joy in itself) to be separate from the "bonus reward" of being able to discuss it with other craftsmen.
... and the latter often ends up surfacing even more challenging/interesting ideas to work on for both sides, which is a huge win.
I have similar reservations about code formatters: maybe I just haven't worked with a code base with enough terrible formatting, but I'm sad when programmers loose the little voice they have. Linters: cool; style guidelines: fine. I'm cool with both, but the idea that we need to strip every character of junk DNA from a codebase seems excessive.
For code that is meant to be an expression of programmers, meant to be art, then yes code formatters should be an optional tool in the artist's quiver.
For code that is meant to be functional, one of the business goals is uniformity such that the programmers working on the code can be replaced like cogs, such that there is no individuality or voice. In that regard, yes, code-formatters are good and voice is bad.
Similarly, an artist painting art should be free. An "artist" painting the "BUS" lines on a road should not take liberties, they should make it have the exact proportions and color of all the other "BUS" markings.
You can easily see this in the choices of languages. Haskell and lisp were made to express thought and beauty, and so they allow abstractions and give formatting freedom by default.
Go was made to try and make Googlers as cog-like and replaceable as possible, to minimize programmer voice and crush creativity and soul wherever possible, so formatting is deeply embedded in the language tooling and you're discouraged from building any truly beautiful abstractions.
People running their own formatting or changes re-adding spaces, sorting attributes in xml tags, etc. All leading to churn. By codifying the formatting rules the formatting will always be the same and diffs will contain only the essence.
> Indeed, it doesn’t matter too much, as long as it is consistent.
Um, I think you may have missed my point. Why does it always need to be consistent?
The problems you're talking about only show up when someone runs a formatter over the entire file. One answer is, just don't do that.
Point being, "different indentation in different files" is never a realistic way of talking about code style. One way or another, it's always about different styles in the same code unit.
Chaos, sure, but beautiful chaos.
But in my case it was the other way around. I work in a Kowloon Walled City of code: dozens of intersecting communities with thousands of informally organized but largely content contributors. It looks like chaos, but it works ok.
Code formatting really did feel like a new neighbor declaring "you know what this place needs, better-marked bus lanes!" as though that would help them see the sky from the bottom of an ally or fix the underlying sanitation issues. As you might imagine, the efforts didn't get far and mostly annoyed people.
But as the GP said, it all depends on the culture. If you pick up and move to Singapore you'd damn well better keep your car washed and your code style black.
It was a confluence of a lot of bad design features and blunders and I can't blame the formatter for the mess it caused. So I understand your point but, I'd amend it a bit: version control is the reason many projects require a specific formatting style.
In projects without an explicit style, the number one formatting rule is don't reformat code you didn't touch.
One factor is "churn", that is, a code change that includes pure style changes in addition to other changes; it's distracting and noisy.
The other is consistency, if you're reading 10 files with 10 different code styles it's more difficult to read it.
But by all means, for your own projects, use your own code style.
And if you are using the tool, “AI” or not to translate it is even worse and you often only have to do on cycle of [your primary language] -> [something else] -> [your primary language] to see what a mess that can make.
I'm attempting to learn Spanish¹ and when I'm writing something, or practising something that I might say, I'll write it entirely away from tech (I have even a proper chunky paper dictionary and grammar guide to help with that!) other than the text editor I'm typing in, and then I'll sometimes give a tool it to look over. If that tool suggests what looks like more than just “that's the wrong tense, you should have an accent there, etc.” I'll research the change rather than accepting it as-is.
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[0] or even, potentially, perceived meaning
[1] I like the place and want to spend more time down there when I can, I even like the idea of living there fairly permanently when I no longer have certain responsibilities tying me to the UK², and I'd hate to be ThatGuy™ who rocks up and expects everyone else to speak his language.
[2] and the shithole it has the potential to become over the next decade - to the Reform supporters and their ilk who say, without any hint of irony, “if you don't like it why don't you go somewhere else” I reply “I'm working on that”.
One observation I ran across on the use of the em-dash ("—") was that if AI was given training data from writers that were considered good/great, and those writers tended to use em-dashes, then it would be unsurprising that AI 'learned' to use the character.
So the observer said humans should, if they already did so in the past, continue to use the em-dash now and going forward if it was already part of their 'personal style' in writing.
I'm not planning on writing new books now, but if I did, I would completely get rid of em-dashes, because of their second-order effect of making the copy AI-written (and therefore less valuable).
It's also interesting that using a Skill that discouraged the use of em-dashes, I noticed that Claude's "thinking" internal dialogue actually disagreed with the Skill spec itself ("no, actually, em-dashes are perfectly normal and not a sign of AI writing") and therefore kept the dashes, against the Skill instructions.
Another voice might add citations to every little detail to the point that it is hard to read, but makes a great reference and/or starting point for additional research.
Voice is not really separate from content, in part it is the choices of what content to include.
But that's really what you're now enforcing: writing in an easily detectable LLM prose and voice. LLM detection is very difficult especially at small comment scale texts. There is never proof, only telltale phrases. How will this be enforced? What the heck even is "AI"?
The thing that really frustrates me is that I can't put tokens through a transformer in any way in editing my post? I can't have an LLM turn a bare link after a sentence into a [1]? I can't have it literally do nothing more than spell check in an LLM, but could with a rule based model? Or what about other LLMs or SLMs or classic NLP chained together? Or is it just the transformer?
And it is officially sanctioned that people ought to be keeping in the back of their mind "does this feel LLMish?" instead of "is this a good comment that contributes to the discussion?" Maybe LLM prose is so annoying and insufferably sycophantic that even if all the content and logic was sound, it still should be moderated completely out. But the entire technological form is profane and unclean?
I am 100% not interested in participating in a community that seeks to profile and police the technological infrastructure that its members use. I want my comments judged by the contributions they make and do not make to the discussion. If the LLM makes the comment better, it is good. If it makes it worse, it is bad.
I suppose, then... goodbye?
After all, there are a ton of different forums where you can have your chatbot talk to other chatbots.
That's a good start already. Don't let the impossibility of the perfect prevent implementing the good.
>I want my comments judged by the contributions they make and do not make to the discussion. If the LLM makes the comment better, it is good. If it makes it worse, it is bad.
Nope, it's all bad. If I wanted the comments of an LLM, I'd ask an LLM.
>I am 100% not interested in participating in a community that seeks to profile and police the technological infrastructure that its members use.
Well, don't let the door hit you on your way out.
There used to be a sort of gentleman's agreement that I could spare the time to read and judge your comment because you went through the effort of writing it.
I get: We found no items matching by:dang "own voice"
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
Even in this comment, I initially wrote the start as "you're wrong", but then had to catch myself and go back and soften it to "that's incorrect", even though the meaning is the exact same. The constant impedance mismatch is tiring.
"They are wrong" is then valid, or "That is not correct" if I have misinterpreted them.
It is fact.
Of course - people have egos and emotions, so when they hear someone tell them they are wrong, they will typically take that as criticism about themselves - and not the fact that you are disputing.
This is the complexity of language and communication, but in this case it's pretty clear. "You are wrong" is criticism on and aimed at the person.
However - if those details are provided, it is not personal, but just simply factual and shouldn't be considered an insult.
The other complexity is whether or not one is having a debate about something that can be factually quantified, versus something that is just an opinion.
If it is rainy near me, and clear skies near you, and I tell you the sky is grey, without corroboration from the weather report, I am wrong to you. If you say the sky is blue, without corroboration, you are wrong to me.
Gravity falls down. On Earth.
The boiling point is 100 degrees. Unless you're using Fahrenheit or Kelvin.
I find that when refuting people, instead of outright debasing their position with a right/wrong dichotomy, it works better to illuminate the possibility there is a larger breadth to the viewpoint. In this way, both views can generally share the same space. Healthily, if one can add such a descriptor.
This can be exhausting. When arguing product characteristics at work, I'm often tempted to say "that's terrible" or "nobody wants that". In my mind those would be factually correct based on my experience and understanding. But I still have to bite my tongue and remember the specific reasons those are bad ideas and "make a case". It is always received better with supporting information rather than presented as a fact. It helps me if I think of it as persuasion or education which is worth the extra time.
If that means blunting objections as "that's incorrect" rather than "you're wrong", so be it. Two decades' experience, which is a tremendous run in online forum space, is quite difficult to argue with.
(Not that I don't occasionally argue with mods over guidelines, intent, and/or effects, not necessarily on this specific rule.)
I think that would've been pretty clear from the post too, if you weren't so keen on giving a non-native speaker an English lesson ...
So you could use an LLM, privately, to soften people's opinions.
I just tried it for you, I won't copy it here cause the thread is about not using LLMs, but if you get too upset from somebody being simply direct and clear in their manner of speaking, the LLM is trained on enough American cultural baggage that it is very capable of softening that blow with the extra words you so dearly need to see past that red mist.
Someone might even be able to vibe code a browser plugin for it.
He has a blog, which I think is particularly relevant to this conversation: https://www.patreon.com/c/GreenWizard/posts?vanity=GreenWiza...
IMO his writing style is quite melodramatic. I have asked myself, how much of that is his perhaps overly compensatory tendency to project an articulate voice, and how much of it is applied by his AI tools?
The last time I saw Anton in person I asked him about his writing process, and he said something like, "I just draft it and then ask ChatGPT to make it sound professional or whatever." So after thinking about it for a while, I have decided that this is his preferred voice, so I'll accept it as his voice.
IMO it is not for you to decide how people recast their own voice. Once you adopt that dogma, you're committed to denying other people's experience of discrimination (through the lens of disability's symptoms). Whether or not you participate in that other type of biased discrimination is irrelevant.
I think HN is broadly supportive of these voices, and I think that an "unwritten exception" to this rule is implicit here. But I'm in the camp that making an explicit exception for special circumstances would be a meaningful statement that all voices are welcome.
Putting aside the example proposed above where typing or dictation may be difficult, "impossible" seems, well, impossible. I am curious how you suppose that someone who cannot type or dictate at all would prompt an LLM.
Someone with a slower rate of both reading and creating text would benefit less from LLM assistance, to be sure. But someone who can read quickly, but may only be able to generate/select a few bits of entropy per second due to physical limitations? (Human speech is widely cited at a median of 39 bits per second.) They’d benefit massively from a system that could generate proposed responses that could be chosen from and refined.
In other words, if you’re the oracle, and the machine asks multiple choice questions until it is certain it speaks with your voice - is there a better set of such questions than just letter-by-letter a-z, a-z, a-z? Does that imply the content is AI-edited? Or is it an accessibility tool?
There have to be exceptions because humans have exceptions.
I am just very interested in the specific scenario this person imagined for the case of typing or dictation being impossible.
Too often, advocates try to smuggle in their preferred policy using stories like this as cover.
The story itself being true or not doesn't really matter - they're weaponizing an appeal to emotion by using a disabled person as a prop to violate everyone else's standards of interaction.
The bone of contention is that the signal:noise ratio on GPT's output is super low and there is no way to tell the difference between a thoughtful GPT post and slop, and given how easy it is to post at volume with low-effort AI posts, there is a bias towards caution rather than acceptance.
At best it's a case-by-case affordance to use AI as opposed to a blanket rule.
I'm really having trouble grasping the true breadth of this problem in the wild. How much of it am I not seeing because the mods filter it out first? How much is faulty signal detection from readers?
When it's a matter of a spelling error or two, no problem. But too often I find I've got to read something multiple times before I have any idea what my interlocutor is saying.
Is our hatred of "AI Slop" and greater posting traffic worth handicapping our ability to communicate with each other?
When I receive an LLM written email at work, I start to question every specific detail because I have no idea if it actually came from the writer (and is therefore important), or was inserted as filler by a computer (and therefore irrelevant).
It wouldn’t be as much of a problem if everyone carefully edited the LLM output themselves before sending (although voice, tone, emotional context clues would still be elided).
But in practice that doesn’t happen, it’s just too easy to click send and the time burden gets passed to the other person.
I have poor working memory. Very poor, insomuch as I have to type six digit codes in blocks of three.
I can write, of course, and sometimes well. But technical writing requires maintaining both detail and thread and I cannot do both in a sustained way. For a short comment, I'm usually okay. For anything longer, not so much.
Is the long tail the whole beast? I think yes.
So I write shorthand and use tools to help me, and yes the results aren't always perfect -- but they are my thoughts embodied.
I'd normally not do this for a text of this length, but just for fun, here's what ChatGPT suggests:
As a non-native speaker, I sometimes use LLMs to help me find wording that conveys my thoughts the way I want them to be understood by the reader. I would never copy the output verbatim, because it often sounds blunt and unlike me, but I’m happy to use grammar corrections or improved phrasing.
I have answered something similar before, I struggle on sending messages as I want them to be received, with AI it is even harder, the "taste" of my thoughts, how I like to express, the habits of the phrasing or wording, get lost completely.
So I just never "AI" my content.
- Made the prose flatter.
- Slightly changed the sense ('gladly' and 'happy to' are not equivalent, and neither are 'search for' and 'help me find') in ways that do add up
- Not actually improved anything
Probably. Planb’s message suggest that the first paragraph is their own writing, the second paragraph tells us that the third paragraph is the llm “improved” version of the first.
Introducing "because" also adds to the clarity without weighing down things or changing the meaning. "Improved" instead of the bland "better" again is an... improvement.
I imagine GP didn't sneak in the tendentious "to fit with and be well received in the hacker news community" in his instructions.
Overall this was a worthwhile assist. I believe (totally understandable) anti-AI animus is coloring a lot of these replies. These tools can be useful when applied sparingly and targeted la GP did. It's true and very unfortunate that often they are used as the proverbial hammer in search of a nail, flattening everything in the process.
Your comment is one of many on this post that assumes that--because you personally have not noticed a difference--one must not exist. This is not a reasonable assumption.
To take one small example, there is a distinction between 'understood by the reader' and 'received by the reader'. One of them is primarily focused on semantic transmission (did the reader get the message?) and one of them encompasses a wider set of aims (did the reader get the message, and the context, and the connotations, & how did it impact them?).
Every phrasing choice carries precise meanings. There are essentially no perfect synonyms.
In this specific comment, I want you to understand that there are gradations you might not be qualified to detect/comment on. In terms of reception, I'm hoping you will see this as a genuine attempt to communicate, rather than an attack, but I also want you to be aware of the (now voiced) implication that 'I don't see this so it isn't real', no matter how verbose, is a low-effort contribution that doesn't actually add anything.
I'm reminded of Chesterton's fence [1]: if you can't see a reason for something, study it rather than dismissing it.
Starting with that absurd first paragraph offering proof for the otherwise inconceivable idea that there are are indeed topics that you aren't qualified to comment on - on one hand, and on the other insinuating that you surely must be more qualified than me to comment on semantics; continuing with the second, totally uncalled for given that I prefaced my comment with "to my ears", yet you didn't; the third, again redundant since I already mentioned that "received" is more general than "understood", so of course the meaning is different - that's the whole point, using a tool to find more fitting meanings, if they would be the same what would be the point?? The assumption is whoever uses the tool keeps the one they feel comes closer to what they had in mind, discarding the rest, no?
Let's stick to this particular example. Why is "understood" a better fit in that context (beyond the original comment suggesting it was closer to their intended meaning)? Because that's as much as we can hope for - to convey the desired understanding. (And yes, that includes connotations and the like, at least if you want to stick to a reasonable, not tendentiously restricted understanding of the word.) How the meaning is received depends indeed on other context, like maturity and generally life experience. For example, you were probably hoping that your message would be received with awe and newfound respect on my part for your wit and depth of insight. But instead, I found you comment merely tedious and vacuous. Consequently, I don't plan to check back on whatever you might scribble in response.
Regardless of how I feel you've misread my message, the fact remains that the way in which a message is expressed does change the import of the message, and that 'received' is not the same as 'understood'; you can't simply swap out parts without changing communication, and the way in which a message is expressed will--intentionally or otherwise--have an impact on the reader.
That's what people are calling out when they talk about the tone or voice of AI-generated text; it's something that many people notice and have a strong negative reaction to. You might not have that same reaction to the stimulus as other people, but that's beside the point: a lot of other people do, and they're also recipients of the communication.
Just as it is useless for me to point out all the places where I think you have misinterpreted my message in a rush to offence, asserting that there isn't a difference because you personally cannot detect one is not justified.
That, and hindsight bias. People know the second version came from an LLM, so it's automatically "flat." But if that edited comment had just been posted, nobody would've blinked. It reads fine.
IMO, there's a distinction worth drawing here: "AI edited" and "AI generated" are not the same thing. If you write something to express your own thinking, then use an LLM to tighten the phrasing or catch grammar issues, that's just editing. You're still the one with the ideas and the intent. The LLM is a tool, not an author.
The real failure mode is obvious enough: people who dump raw model prose into threads without critical review. The only one who "delved into things" was the model - not the human pressing send. That does flatten everything. But that’s a different case from a non-native speaker using a tool to express their own point more clearly.
The "preserve your voice" argument also smuggles in a premise I don't necessarily share - that everyone should care about preserving their voice. I'm neurodivergent. Being misunderstood when I know I've been clear is one of the most frustrating experiences there is. For some of us, being understood sometimes matters more than sounding like ourselves.
That's definitely fair here; I still think the human version is better in contrast, but there's nothing wrong with the AI version, and had it been posted without the comparison, there would have been no issue.
This happens because most people just paste a draft and say "make this better" with zero style direction. The model defaults to its own median register, and that register gets very recognizable after you've seen it a hundred times.
But this is a usage problem, not a fundamental one. I actually ran an experiment on this — fed Claude Code a massive export of my own Reddit comments, thousands of them across different subreddits, and had it build a style guide based on how I actually write and argue. The output was genuinely good. It sounded like me, not like Claude. The typical Claude-isms were just about gone.
I wouldn't expect most people to do that. But even a small prompt adjustment makes a real difference. Compare "improve this email" to something like:
Your job is to proofread and edit the following email draft.
Don't make it longer, more formal, or more "polished" than it needs to be.
Fix anything that's actually wrong (grammar that changes meaning, tone misreads).
Leave stylistic roughness alone if it fits the voice.
If the draft is already fine, say so.
But if we're being honest, most people don't care about preserving their voice. They need to email their professor or write a letter to their bank, and they don't want to be misunderstood or feel stupid.
I disagree with your disagreement and subjective take. The LLM changed the meaning in a significant but not very obvious way.
Compare "I use a hammer to drive nails" to "I use a hammer to help me drive nails"
In the former the writer implies tool use, in the latter the LLM turned that into some sort of assistant relationship. The former is normal, the latter is cringe (to my ears)
> formulate my thoughts like I intend them to be received by the reader
> conveys my thoughts the way I want them to be understood by the reader
there is a way the parent poster constructs their sentences that may sound a little clumsy in a literary sense, but is actually dumbed down
To continue the experiment I have fed the above paragraph to Gemini with this prompt "Fix grammar and wording issues in the following paragraphs, if needed reword to fit with and be well received in the hacker news community."
This experiment highlights the core issue. Every language has its own voice—academic, formal, informal, or intimate. Your rewritten paragraph leans into the notorious "LLM voice": it’s less direct, feels slightly pandering, and strips away the hooks that usually spark further discussion.
Does it? I don't see it. If anything, it is more direct and clear, not less, i.e. "to help me find wording that conveys my thoughts the way I want them to be understood by the reader" instead of the more convoluted "to search for a way to formulate my thoughts like I intend them to be received by the reader". How is it pandering? And how exactly does it remove "injection points"?
It basically chose more precise words where that was possible, resulting in a net improvement, AFAICS.
Whereas "search" implies (to me) a kind of direct and analytical process of listing and throwing out brainstormed suggestions, like you would with a search engine.
When I read the human version I actually get a sense of what that process looks like, and the LLM response definitely clouds or changes it by focusing on the result instead.
I for one don't think I'll ever AI-wash my texts or use AI translations verbatim. If everybody else did, it would certainly be a sad loss of diversity, but IMO it's only going to make the people who put in their own effort stand out more. Hopefully in a positive way. Time will tell if we're a dying breed.
I'm afraid the need for anybody to learn foreign languages will be subject to much change and discussion for upcoming generations.
- We had to take spelling tests in school
- English speakers make (generally light) fun of other's spelling or grammar mistakes in a casual setting
- In a professional setting, a lot of time is taken to proofread our own emails
- There's de jure spellings for every word
- Some online communities are really weird about pointing out grammar and spelling mistakes (namely Reddit)
Language is meant to be a fluid, evolving thing but I always felt like English was treated the opposite way. Maybe that's also why it's the de facto Lingua Franca.
I do think, and hope, that this rigidity will change thanks to AI. I've started to embrace my mistakes. I care a lot less about capitalization and punctuation in my Slack messages, for example.
Must quote the last paragraph of Chapter 2: "Hot and Cold media", from Marshall McLuhan's Understanding Media, which I've double-underlined.
For it simultaneously explains to me; TikTok (quick consume-scroll-like-react-"create" dopamine hit cycles) and LLMs (outsourcing the essential mechanical friction of thinking (which requires all senses, for me at least))...
The essential friction of deliberate, first-party speech-making---misspellings and all---is why voice and conversation contains life.
I don’t think it is so binary black/white though.
I don’t mind if someone who has no command of English uses a translator. But there is a difference between a translator and an AI/LLM.
Unless they don’t care about learning English which shouldn’t be frowned upon.
how hard is it to recognize common idioms and at least state the literal meaning followed by the semantic meaning? there are at most what, a few thousand per language?
And LLM does not know context, it makes mistakes a lot more in it. But, it is much cheaper.
Google or Bing translate might not use the exact same words and phrases that LLMs use every single time, so you are better off using those
I am reminded about a question I posted in a Vintage Apple subreddit. I described the problem and all the steps I took to try and resolve it. In the middle of the text I also hinted that I asked AI and that it gave be a wildly strange answer which I dismissed but that it gave me hints to continue onwards.
The majority of answers were focused around that one sentence and completely ignoring the rest of the post(and even the problem I was posting about). I was ridiculed (sometimes aggressively) for even considering trying the AI. Eventually someone finally answered the question, I thanked them and continued to get downvoted massively.
While I get that the vintage community can attract some colorful characters this was an interesting observation at how badly they reacted to the post. I've since refrained from mentioning AI and furthermore, trying to limit my involvement with communities like that and ironically working on better ways to use AI to solve problems so as to minimize dealing with them(finding ways of providing more system level data to the AI in my prompt).
Also to the people saying that they just let LLM replace phrases: that's the worst you can do. LLM style lies mostly in the phrases, they come from a narrow selection that they tend to use
However, this isn't an entirely new phenomenon. There is a company in Spain called Audens that manufactures croquettes. People prefer hand-made croquettes instead of industrially produced, and they usually can tell the difference by how perfectly regular industrial croquettes are, so Audens developed this method to produce irregular croquettes. Each individual croquette is slightly different, creating a homemade feel that appeals to consumers.
If it's too perfect, it isn't human.