Write as yourself. You’re being paid for your expertise and insights. Communicate them directly to us. Copying and pasting Claude responses into Slack or an email directly shifts the burden of comprehension and understanding to everyone else, and worse, risks skipping that step for yourself. Even if you’re fundamentally using Claude to gather your thoughts or help you prepare a response, you need to be writing it yourself, in your own voice. Not having Claude ape your voice, or “make it sound less like AI”. You, directly. Doing this will further reinforce your own understanding of the state of things, the same way teaching someone is the best way to learn. As a guideline: for Slack and email comms, this should be near-universally written as you. For deliverables that are longer form and follow a template like proposals, roadmap/discovery work, etc., use of agents is expected but, see Principle #2. (Own the Output.)
I hate spell checkers, I disable them and I do manually double-check words that I'm unsure about. But I'm under no illusions that most people are going to see automatic spell-checking as a useful, time-saving, and I'm not going to waste my breath trying to convince anyone otherwise.
I can understand that there are situations where you just can't type out the answer and those exceptions are of course fine, but if you post a voice message or god forbid a video message in a group chat you are forcing everyone to take the time and sit through it.
To the semi-literate a few paragraphs of text represent a significant investment of their time.
You asked a human for their advice- based on their judgment. If they don’t take the time to validate the answer provided by ai, they literally have no judgment. A transparent proxy has zero value.
It's very likely that proper punctuation and capital letters help the reader, then it doesn't matter than not using them is faster to type.
I'm sure we've all gotten that big stream of consciousness email that's a 15 line blob of lower case text, with no punctuation or line breaks.
I don't mean every ephemeral message needs to be perfect, of course. Just, you know, readable.
You can also teach those people about text expansion software. macOS and iOS have it natively, though if I’m not mistaken it doesn’t work properly in non-native apps such as Slack. Alternatives like Alfred should work anywhere. That way they can keep using their abbreviations to type faster, but others won’t have to deal with them.
> It's very likely that proper punctuation and capital letters help the reader
Can confirm. Not using proper punctuation and capital letters makes reading less fluid. I’ve stopped caring about posts and comments that do that—if you don’t care enough about what you wrote to do the most basic of courtesies (and sometimes even fighting the auto-capitalisation that’s done for you) then why should anyone else expend the effort?
As such, isn't the question really about
1) whether it was communicated clearly/effectively 2) whether it should have been communicated to others at all (rather than something that you just dealt with yourself)
As for the writer being paid to use their expertise, learn more things etc: absolutely. But they could spend whatever time is required to think about the issue and then still have Ai write it at their direction. And, regardless of who wrote it, it could still be poor, irrelevant or misleading.
I'm not defending AI over-usage, but you folks evidently haven't thought about any of this nearly sufficiently enough... and the policy doesn't seem to be addressing what it ought to be: whether everyone is actually thinking, learning, discerning, deciding etc...
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Ps I passed your comments to chatgpt and asked what it thought about it all, and it missed all of this. But then agreed once I brought it all up. Then it did a poor job of writing it's own response. I couldn't be bothered to guide it towards something more appropriate. https://chatgpt.com/share/6a86cc31-f058-83e8-8abd-3921b518ec...
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Pps the fact that this comment and some of my subsequent ones have gotten downvotes, while no one has really provided any substantive/valid counter argument is quite disappointing, but also revealing.
It makes me think of the initial staunchly anti-ai for coding vs vibe coding dichotomy. Of course, neither was correct and it is now more common for people to appreciate AI as a tool that can be consciously and effectively used to help with coding. The fact that there's still plenty of thoughtless vibe coders doesn't make that untrue.
Likewise, vibe writing - not understanding or caring what you are saying and, worse, feigning that you do - is the real problem here. But that doesn't mean AI can't be a useful writing assistant, be it for producing first drafts for your review, or reviewing/editing your own first draft (and even subsequent ones).
And just as how people who can't code can't get Ai to reliably produce good, effective code, someone who can't write can't get Ai to produce good, effective writing.
To be able to write well is to be able to think well. Most people are not particularly capable of that, and obviously try to hide that fact. So, the non-AI writing policy that I was objecting to should instead be used to weed out the people who can't or won't think and write with clarity, integrity etc, just as their code review process should do for people who submit slop code.
I think your linked chat demonstrates quite well why you are wrong.
The sender's burden is a few lines of text "Write me $FOO, conclude with $BAR".
The recipients burden is an order of magnitude greater, trying to find your conclusion in hundreds of lines of text.
After all, your initial line:
> But isn't that "burden" on others always going to be there, whether you or AI wrote it? That's what communicating is...
Is concise and clearly understandable in 21 words . I understand your point even if I don't agree with it.
The linked chat has 1424 words. Your point is in there somewhere, but now you want the recipient to play "Where's Waldo" to find your point.
(BTW: I can't believe just how effectively you argued against your own point! I have never seen someone do it as effectively as this in all the time I have been reading HN)
You say that my initial line is good, but then that you disagreed with it without saying why/making a counter argument.
As for sending anyone on a where's Waldo adventure, you've fundamentally missed the point, which was completely self-contained in my comment - the postscript link to chatgpt was just, at best, reference material for anyone who cared to look.
As for the fact that chatgpt did a terrible job of it all, that doesn't undermine my point even slightly. Because my point, made very clearly in my post, was that you can't just offload everything to AI. You have to, at the very least, give it context, direction etc. At that point, it can be quite useful. I use it effectively all the time to polish my writing, remove my worst tendencies etc.
If I cared enough, I'd have had it polish this response to make it significantly less aggressive while making the same point. But you don't deserve that, because you didn't put in even the slightest effort to communicate in good faith
Not the same burden.
The value of the person is digesting and giving the materially important stuff in the answer (including their expertise and opinion). Not the AI diarrhea.
You can also direct the Ai to write about specific points and, again, it may write somehing good or bad. I provided a link to a chat I had with chatgpt about this very conversation and it shows everything I was saying.
The fundamental issue is whether people are taking responsibility to communicate what needs to be communicated, in an effective manner. Whether the final words were authored by Ai or not is largely irrelevant.
Theoritically yes. In practice:
- AI responses I get are walls of written diarrhea (even when they're relevant and take our particular context into account). The one's that don't are from people who write well based on their expertise, and who know to edit AI responses and not just paste them.
- I'd rather get the bad/misleading/not-useful response from the person, rather that the good one they made via AI. This way I know they don't know what they're doing, are bad communicators, depend purely on the AI, and thus their position can be eliminated or replaced by someone cheaper merely relaying to/from the AI.
I get the feeling this is the whole disconnect. People have high expectations from AI but haven't really been on the receiving end of a massive amount of text/code generated by it.
We recently had someone fired for using AI excessively. Before the firing, whenever anyone on the team sat down to give feedback, the only answer was "but everyone is using AI, we are supposed to use AI, how can it be bad?".
Until their boss sat down and forced them to read the verbal diarrhea and they finally admitted that it was 90% hallucinations and AI-filling-the-blanks.
Evidently the people you are communicating with are not good writers/thinkers. That's the prerequisite for effectively using AI for writing help. Just as its the prerequisite for using it to produce code. If you can't code, you can't get Ai to produce good code.
So the real issue here, perhaps, is "vibe writing" rather than "Ai assisted writing".
> I'd rather get the bad/misleading/not-useful response from the person, rather that the good one they made via AI. This way I know they don't know what they're doing, are bad communicators, depend purely on the AI, and thus their position can be eliminated or replaced by someone cheaper merely relaying to/from the AI.
Agreed. But if people who don't understand the issue are feigning competence via AI then that's a fundamental problem of not just competence across many domains, but also character. As I said in another comment, the policy should be something to the effect of "you're paid for competence, integrity etc. If you don't have that, we don't need you. Take that into account when you use Ai"
I don’t expect the other person to copy my response to the same chat and paste the AI response back even without reading it.
Don’t be a meat proxy.
If someone is feigning competence, that's the fundamental problem, not AI
These people know (or knew) what they were talking about so well, and was very passionate about their area as well.
Not knowing something is alright, but surrendering their whole knowledge and passion to a statistical model is not.
Now they are almost meat proxies, which is sad.
I genuinely worry even more about young people, who are being formed in this anti-thinking, anti-responsibility environment. I'm sure there's some who are strongly resisting it and seeking out genuine knowledge and connections. But surely most are happy to just vibe their way through school and life.
That's it in a nutshell. I think I need this up on my wall.
While I agree with your overall distinction, I believe the scenario you portray is so unrealistic that you will never encounter it.
Yes; if I could wrangle Claude into communicating exactly as I would have, the practical difference is of course not observable. But that's never happened, and I've had an enterprise license at work for years.
The value in having a human write it is that whenever something bad/misleading/redundant is introduced, that person will learn from the feedback, but an AI will at best have some memory/skill/prompt nudge for next time that might have a shallow/localized band-aid effect, but will never stop doing similar mistakes elsewhere.
For me, the value of receiving comms from a human is different: it communicates not just the idea itself, but the fact that the human already understands the idea.
The people arguing that round-tripping their thoughts through AI still means that it's their thoughts apparently also believe that the game of telephone always results in perfect comms.
It's not just AI; adding more hops to a route changes the message when each hop is a human too, it's just that we notice it more when the hop is an LLM because of just how different they write compared to humans.
Surely you don't actually believe, or even desire, for everyone to fully understand everything that they say... No room for questions, uncertainty, bewilderment, etc?
If someone is feigning competence via AI, that's the problem. Not Ai.
If they use Ai to polish a communication, be it statement, question, etc, and they do it in a thoughtful manner to ensure the final communication clearly and effectively communicates what it should be, there's no problem with that.
My point is that it is still a problem, regardless whether they are asking an AI to write it for them or a human to write it for them.
Round-tripping a message through a 3rd party changes the message; in this specific context ("Don't Paste the AI, please"), there is no pretense of understanding or review from the human.
In some other context, sure, maybe some people are thoughtfully engaging with the AI, but I have never come across this yet. I suspect you haven't either.
Um, I've literally said throughout this entire thread that I regularly get Ai to assist with my writing, to great effect. It often helps me be more concise and certainly more kind - I have a tendency to be neither in writing, especially online.
It is also helpful in formatting, say, a github issue. Though, I do need to be careful with that as it is very easy for it to just appear as an Ai slop post, even if lots of thought went into it all.
To be very clear, at no point have I ever supported/advocated for thoughtlessly copy pasting whatever Ai writes for you. This thread has been about using it judiciously, as we can/should be doing for coding or anything else.
Nothing they said implies that.
What they said is they want the understanding of the person to be revealed in the communication. Not masked via AI.
>If they use Ai to polish a communication, be it statement, question, etc, and they do it in a thoughtful manner to ensure the final communication clearly and effectively communicates what it should be, there's no problem with that.
Yes, if that ever happens in the real world, it would be ok.
It doesn't say the (level of) understanding of the person, but that they understand the idea. They might have misspoken, but they already replied to that comment and didn't object to my framing or further clarify.
> Yes, if that ever happens in the real world, it would be ok.
Well, this entire thread is me saying this happens in the real world, and people objecting to it
Sorry to say, but this is a skill issue (and not necessarily with using Ai). I've used Ai MANY times to help SIGNIFICANTLY improve things that I've written - from a few sentences to many paragraphs.
As I've said in other comments, it'll rapidly and effectively remove all my worst tendencies. And, likewise, sometimes I'll have it write a first draft when I give it appropriate context/guidance that I can't be bothered to fully curate/synthesize. Then, once it gets that draft, I'll take over and tidy it up. You might say that the "can't be bothered" part is the entire issue, and I'll again say that what matters is the final result - a master chef or chief architect is not doing all the grunt work...
That's the same slop response as "it's a skill issue" applied to C codebases being inherently insecure due to the language's footguns/design.
Isn't this contradictory? Why do you need to take over if it's doing such a good job?
Expert types prompt into Claude , Claude produces fundamentally flawed but close output. Don’t take that output and give it to anyone — first refine it until it’s not flawed, then pass it on.
Also people are weirdly hypocritical about it. E.g. https://www.reddit.com/r/ProgrammingLanguages/s/svUzbNy2oj
No tolerance policy for 77 of 10k lines, but exceptions made for language with unashamed use of large swaths of LLM code because it’s popular with the author. People just aren’t being consistent at all. Even when they draw hard lines.
There's something profoundly disrespectful about it towards the receiver.
Far better, and frankly perfectly acceptable, to say or have it implied or concluded, that Ai helped with the writing in some way. Still, if you're paying attention, it often shouldnt really be all that detectable because you should be aware of AI's smells and you can edit them away. Though, sometimes I'll leave it as obvious that Ai produced something I shared - eg making a well formatted github issue or whatever. But I'll also make sure to convey that a thinking human was behind it, vetted it etc
I agree with everything here, and do the same, but in my experience people will still interpret doing this as “profoundly disrespectful towards the receivers”. The sibling to your comment seems to express that sentiment:
“There's something profoundly disrespectful about feeding snippets produced by human authors en masse into a machine learning algorithm to create a predictive text generator to be applied as labor replacement, regardless of accuracy or appropriateness to the context or use case.”
Still, the reality is that these people exist and we're going to have to interact with them, sometimes even try to win their favour. So, the onus is on us to not trigger their irrational anti-ai hate.
I had such an experience last week, and in hindsight I probably should have written the issue differently. I used Ai there primarily to help me be more thorough and have the whole thing be better-formatted than I would have otherwise done myself (ain't no one got time for markdown tables etc).
I should have made it less thorough and more plainly formatted, because it did, admittedly, scream AI. That undermined an otherwise thoughtful and important issue. Though, the people who actually mattered didn't take exception and replied thoughtfully - perhaps partly because I had already gained some degree of trust with them, via thoughtful, useful issues and PRs.
In the end, Ai is a magical tool that can be enormously helpful with almost anything. But we have to use it consciously, like anything.
Of course the level of moral disengagement that's rife around here generally precludes any recognition of such things, as that might be construed as "harshing the vibe on the innovation, man". So I guess everyone had better just settle in and get used to some serious profound disrespect until this type of thing hits enough of a critical mass that a societal ethics framework begins to manifest around it and not be ignored.
From my experience, AI tends to sugarcoat and be very verbose in its' responses. Theses two combined mean I need to peel away a lot of text before I can get to the "real" point as a reader.
So while I could use AI to craft a response, and then rework it to be more concise, I wonder if it wouldn't be faster (and more rewarding) to simply type it myself.
I think it can be OK if AI is used to polish up one’s message or to help structure it. Basically help with grammar, formatting, and wording.
But copy pasting an AIs response to a question? Not at all. People earn a reputation over time. TRUST is earned. An AI cannot earn trust. If you copy paste an AI response verbatim, i need to read everything in your message with a big grain of salt. Imagine doing this all the time as a reader? Exhausting and a waste of others time. If i want to read raw AI output i’ll ask the AI directly, thanks.
If you write something in your own words, or at least synthesize an AI response before sharing it with me, then i know i’m reading something that has at least passed the smell test.
It’s the difference between reviewing a pull request from an intern and a principal software engineer.
Though, I think such a writing partner can only really be useful if you know how to write yourself, which also requires knowing how to think (because writing is really just thinking).
So, again, in the end all that really matters is whether you are effectively communicating what needs to be communicated, Ai-assisted or not. It's quite apparent to other thinking people when someone is not doing that, and that hurts their reputation, undermines trust and ultimately leads to losing your job, connections etc...
So, again, the policy really should just be something to the effect of "you're being paid to help us be effective and correct. If you can't do that, we don't need you. Take that into consideration with regards to the tools that you use.". That's obviously not an adequate policy - Ai could surely be helpful in polishing it! But it most definitely couldn't get to the root of the matter on its own.
There is a world of difference between this and copy-pasting LLM output into slack and email.
You can write the first draft with the LLM, or have the LLM help you do an analysis, look at how code works, and so on. But you need to check for the LLM to be correct and you need to be able to articulate what the LLM found in your own words. If you don't you have just offloaded all the work to someone else: someone else will have to check, verify, investigate what could very well be an hallucination (bad context, random bit flips, whatever the cause doesn't matter). Your effective contribution to the discussion will be negative.
Asking it to identify problems such as spelling, grammar, or general clarity is fine.
If you tell it to "polish" many commercial LLMs will absolutely slopify your text with characteristic AI catch phrases and non-sequiturs. Beware.
And because most ai's are not concise we blame ai's for faults we don't like in humans either: being longwinding
In fact, my tendency is to be far too long-winded, with lots of perhaps-unnecessary parantheticals etc. Ai is often shockingly useful at reining me in and focusing on the issue at hand, as well as removing my worst tendencies towards meanness etc...
Im a good writer, when I want to be. But having Ai review, edit, write drafts etc undoubtedly makes me a better writer/communicator. But only because I'm actively thinking about it all, rather than just saying "respond to this" and then providing copy pasta.
https://www.anthropic.com/learn/claude-for-you
This framework provides a more abstract way of thinking when working with AI systems. Especially valuable to me is the pattern of the 4 D's: Delegation, Description, Discernment, and Diligence, which I have now internalized whenever I use AI systems. It helps me understand my own and others' (mis)use of AI systems a bit better.
What you wrote just seems common sense to me, and I'm hopeful it will emerge as such given enough time.
Like is your insight that copying and pasting something is not understanding it? Do people seriously not known this?
There is no need to Socrates when writing policy docs. Maybe this is why people ignore reading your actual voice messages that you feel a need to also justify this basic request. Sometimes the human voice thinks too highly of itself also.
The effect of this over time is cumulative. Cervantes said (in translation), "Show me who you spend time with, and I'll show you who you are." I realized as a teenager that the books I was reading and people I was listening to were shaping my ideologies in ways that were outside my control. It's prohibitively difficult to pause when presented with every idea and analyze it to see whether it makes sense. If you're cautious you'll catch some ideas and analyze them, but a lot of the time, you won't even consciously recognize that you've been presented with a new idea, and you'll simply integrate it unconsciously. Time passes and it becomes difficult to remember where our ideas came from or why we thought they were true.
This was a problem before AI: if you surrounded yourself with people who thought poorly, you thought poorly. Now with AI, millions of people have let a "thinker" into their lives which has massive information and no wisdom.
Frankly, when I find out someone uses AI in any way, I lose respect for them. The best case scenario is they use it similarly to the post I'm responding to, filtering the ideas they get from AI through their own intelligence. But that doesn't really work==original thought it harder than that. And that's the best case scenario--most AI users don't have anywhere near the discipline for that, and just regurgitate what AI tells them.
Rewording it doesn't help--it's still not your idea, from your experience and logic. And once you use AI at all, it's very hard not to be just rewording.
For purposes of training the AI (enablement firm)?
> Write as yourself.
Unless it's your first day on HN (it's not 2008 account), most people use paragraphs and sentences longer than 2-5 words. Something like "You, directly." in the middle of all that has a certain vibe to it.
> Copying and pasting Claude responses... directly shifts the burden of comprehension
Most definitely.
The problem is we live in a world where people try to pass off copy pastes as their own all the time, many even smart enough to remove the em-dashes now. So I don't think that's going away soon. Your first sentence seems human, the rest doesn't match the tone at all.
Isn't that the very thing you just claimed people don't do?
For simple, impactful sentences, I often use short ones. They work better.
Since people started using Claude now I get full context of everything… might be too much sure, but to be honest over-communicating seems better than under-communicating - sure it’s boring and tedious but that shifts the blockage to me.
Otherwise each of these coaxing sessions is something I have to keep in my head until resolved, which is a load in and off itself.
And even better - I can point Claude to that message and gives me a summary. You might say this is silly because we are paying the LLM tax, but knowing what to share, and then verifying against my situation are two different things.
Sometimes they have checked the wrong thing, sometimes they need guidance, sometimes I need to investigate before I can answer. A full LLM message with context is like “summary of their working context that I can resume on my end” so I don’t waste cycles asking or rechecking etc.
And it is still possible to be a learning experience for both of us since the initial message is the start, we can then talk to each other like humans, both much more in sync than before…
It is kinda ironic but I think it does push things in a better direction. Would I have loved it if the message was human, direct and to the point - obviously, but we are all busy, we got shit to do, and this is a useful “resume” mechanic
And I think this is where one key argument on the page itself I think fails:
> The person on the other side has the same tools you do.
Yes, the person on the other side has Claude; but in many cases, their Claude doesn't have the same context as my Claude. Saying, "This thing happened in an area of the code I don't have any expertise in. Below is Claude's analysis, which I'm not qualified to assess" is I think a valid time to copy and paste LLM output. [1]
The other thing to say is that it can be a "LMGTFY" style response; i.e., "Why did you ask me that, when you could have gotten a perfectly good answer from ChatGPT?"
[1] In the particular case I'm thinking about, it was a bug in an ocaml component; I don't know ocaml or need to know it; handing Claude's analysis 'caveat emptor' to the maintianers who do know ocaml I think is more helpful than not.
People don't always want MY take on it, they just don't want to bother finding the solution on their own at all.
So in that case replying with a verbatim copy-paste of a Claude response has the same energy as a lmgtfy link.
I’m reading a bunch of game modding discords, and this exactly what happens, and what’s hated. Because Claude is also not qualified to assess it. Not by default. The modder’s Claude might be because of the extra context and steering, but the user’s produces usless slop, instead the actual log, and context what the user did is what’s helpful.
I’d say this (when you don’t understand it yourself) is pretty much the worst time to send AI output.
Quick edit: Yeah, I get it in situations like GP where the user is unhelpful, doesn’t want to learn, doesn’t care, and you also can’t tell them to fuck off. But just because the user gives Claude the context they should have given you in the first place, doesn’t make it good.
I'd argue that it's worse because now you have no idea what the actual original context was, just the AI's hallucination of it.
Now if I ask a question to humans I'm looking for their personal opinions drawn from their personal experience, be it ticket size for a feature on a legacy codebase, a design decision or a product strategy decision.
Context is everything.
Btw, Claude code sent my first accidental AI email yesterday. I guess permissions changed? Before it could only draft. Uhoh, waiting for the onslop.
1. I've experienced both (ai paste slop & ai providing helpful context that would otherwise have been absent) but the former has been a much bigger problem than the purported benefits of the latter
2. before the advent of LLMs, I had fairly strong contrarian opinions on the latter (clueless users asking questions with no detail) that I still hold to this day. A good proxy for my opinions on this is that I think https://nohello.net/ is a crutch for undersocialised (or overworked/near-burnout OR undiagnosed autistic) engineers & should not be normalised. The origin of this sentiment is users entering a quiet IRC room & saying "hello", then leaving & not being around when someone eventually replies: in that context nohello is pragmatic, but taking it beyond that to modern high-frequency realtime chat is an antisocial overstep. Leading with the entire context of your query may have some practical benefits but they're honestly overstated in exchange for killing natural social tendencies towards human dialogue. Similarly, a non-technical user giving you zero info about a problem is an opportunity for conversation & mutual education. It's relationship-building & helps build a foundation for further interactions with this person. It was never a problem in the first place; "solving" it is just another milestone on the road toward de-socialising humanity.
Because that would be super out of place, and you understand that intuitively.
That’s all nohello is about. It’s not trying to say “don’t be nice and say hi”, it’s saying “batch your hello and your question in the same message please”. Asynchronous communication mediums need an asynchronous communication style, it’s not that hard.
For me, the origin of this sentiment is the culture for certain departments at $LARGE_CORP I used to work for. People would ping me on the internal instant messaging tool to ask for help with things. Sometimes they'd take the nohello approach and just fold everything together in a single message: "Hello, hope you are having a nice day. I'm trying to do X, and I see Y instead of Z. What am I doing wrong?"
And sometimes, they... don't.
"Hello." <wait>
"How are you today?" <wait>
A conversation that could have been done in 30 seconds drags on for many minutes, and the message trickle feeds just fast enough that I can't do anything of any complexity in between the IM app's alert lighting up again. Extracting what they actually want from them feels like pulling teeth. It's a complete waste of their time and utterly disrepectful of mine.
They are there to ask a question. I know they are there to ask a question. They know they are there to ask a question. I'm happy to answer the question, when they finally get around to asking it. Just ask the bloody question, ffs.
I would love to spend more time and talk to the people with their issues so we can come to a common understanding… but neither have the capacity for this, and now things are getting worse I think.
Maybe someday agents are good enough that we just discuss direction and implementation details, and every “developer” becomes more of an executive in a company, free to chat about more than just work, focusing on building human relationships and leaving “the tech stuff” to their agent teams…
And old geezers like us who actually know how to write ourself out of a for loop would be the premium - wizards holding forgotten knowledge, incomprehensible to mere uninitiated mortals. I wonder what distinctive dress and hair styles will we develop :-D
> a lot of my colleagues messages are “x broken” or “I do y”
These people had below than average communication skills (or at least they were putting below than average effort communicating with you), so LLMs improved their output.
However, the society kinda expects people can and Should improve themselves over time. The issue is that LLMs improved their output, but not necessarily them.
I've sees some chat logs where I completely empathized with the AI trying to make sense of the information it was being drip fed. Always incomplete, often incorrect.
> Since people started using Claude now I get full context of everything… might be too much sure, but to be honest over-communicating seems better than under-communicating - sure it’s boring and tedious but that shifts the blockage to me.
Yes, but the kind of engineer that used to say "X is broken" will send you some slop with missing context and Claude will try to apply general solutions from its training data rather than from the specific context. As somebody on the Ops side that usually helps devs fixing things here and there, in those cases I'd rather them say "X is broken" and then I ask the question to Claude with all the context I have.
Probably the best solution currently is a shared skill with at least some curated context.
I think that's the key. Generally people would rather not receive slop because the receiver has no idea how much thought the sender invested in the communication.
In your example, the more context the better. I think there's an interesting nuance there.
That's an interesting thought. The message can have metadata that says the sender's spent 1/5/10/60/120 minutes or some other metric of how much thinking over the communication happened. Just need a way to monitor people's thoughts and digitize them to make that happen.
Strictly speaking, not true. I have Gemini Pro; my friend doesn’t.
For any given <subject> I'd want:
- Your context - your taste - your judgement - clarify what bet <subject> encourages to support - be ready to elaborate your thesis of that bet
With that we have the basic complete building block that used one after another can model a basic lifecycle of a dialogue that can make progress towards something (a goal, a mission, something useful)
"read it all, yes even the bullets. especially the bullets"
if you read one thing from a large wall of text, its gonna be the bullet points, right? thats a big part of what they're for?
"It is the conversational equivalent of forwarding the email."
this is a terrible metaphor. it seems to rely on the idea you would be mad if you sent an email to someone and they forwarded to someone else? but thats useful, theyre literally sending it to someone who is presumably better placed to help you, or raising it to someone more important because they think what youre saying is important
Interesting to note the page also ends with "written by a human, on purpose"
Hypocritical to say the least, given the message.
And the result isn't even very angry at all. It's like mildly peeved internal company communication (also in direct violation of "don't send this to your manager")
ZeroGPT says 21.5% generated.
DS9 Garak "especially the lies" reference maybe?
We are afraid that one badly phrased message can hurt our reputation or even our jobs, so optimizing every message with softer wording, more political correctness, less directness is safer.
But the real problem is the culture underneath it. If people are constantly worried about how every sentence will be interpreted, eventually they stop speaking plainly, stop challenging decisions, and sometimes stop speaking up at all. So this is like attacking the consequences not the root causes. There should be some sort of measurement of how broken is a community or a company by letting a bot scan Slack/Teams and let the bot remind everyone the importance of lowering the fake index.
I think that indirectness emerges when a critical mass of people decide that they're better off in an indirect culture. i.e., thinking "nobody is straightforward with me, but that's worth it because it means I don't have to be straightforward with anyone else". And of course that's infuriating for anyone who would rather take the opposite deal!
We need a dontpastethedontpastetheai.com to get ahead of this.
But the point is. They had search, so why didn't they think to do the search? They had the same tools as I did. And yet regularly they couldn't think of the answer. I still deal with this with AI today. When you ask a question, maybe you're asking for the interpretation of the question by the person on the other side. And it's that interpretation that goes to the LLM. Or otherwise some filter of how that person thinks about the question differently than you do.
First of all there's a skill to it. You learn how to phrase things, based on how other people probably phrased it. You learn how google modifies or ignores your queries... (or stops respecting modifiers...)
That comes with practice, and lots of it! I google so much that google regularly throws up the captchas (even when I'm logged in). I remember when Kagi first started, my friend sent me a link to their subscription, and it was like an order of magnitude less search than I did. (They increased it a lot since then.)
So it's skill issue, and skill is a function of volume. Most people barely ever google things. Which is the second thing I've noticed.
I'll often be with people, and they'll be like, "huh I wonder XYZ", and then just trail off, as if there was an implied "I guess we'll never know!" at which point I pull out my phone, bewildered, and simply look it up, and everyone looks at me like I'm an alien. (I do not understand socializing apparently.)
completely agree except a crucial step is missing here:
(1.5) validate the accuracy/truth/relevance of it
your own sincere and human take on rubbish will still be rubbish. validating is indeed the more uncomfortable/demanding task here but if you omit it you become just a "human ai beautifier", and this will actually undermine the trust in you as a human. if you are going to omit validation just paste away, be honest and let it be obvious, you can then blame the ai.
Pasting AI output verbatim is the modern day equivalent of “let me google that for you.”
My reaction was of immediate visceral disgust.
I can say in no uncertain terms that I do not care if your English is completely broken. I prefer that over AI slop. You will not improve your writing and language proficiency if you do not practice them! If you do not care about your language proficiency then you have zero business doing offshored work.
The answer was also wrong. I pointed Claude to the micro service repo in question and asked it myself. Got a different but correct answer, after verifying it myself.
Their code is so trash I wonder if we’re even using the same models. Every PR I need to go over it myself and have Claude refactor and restructure everything. Claude generates decent code that can be made great with just a few iterations. I don’t even think these guys are running the code to test it, let alone read it. Just slop and ship.
Can’t rely on them to understand the code or even answer simple questions about it.
What is even the point of all this?! AI has made me personally more productive but overall it’s still a net negative because when you’re a “-x dev” the force multiplier from AI is overwhelming and soul crushing to everyone around you.
But this leading statement is not necessarily true:
“The person on the other side has the same tools you do”
Aren’t we all imbuing our AI with our own thought patterns? Folks I speak to spent a tremendous amount of time building tooling and (hierarchical) context around LLMs such that the output it produces is definitely not the same as what the stock model produces.
Unique human prompt + AI output which is useful and does a good job expanding on the prompt topic and which when pasted saves people the time of having to go prompt AI on the same topic (fully reviewed by a person before sharing it, to ensure the content has relevance)
This I have been doing a bit. I strictly asks it to never give me suggestions but raise questions, concerns, tell me if it feels if something can be better, style-wise or otherwise without giving me those options.
And a bit of other overall feedback requests.
And if the model adheres to this and doesn't jump the gun, it indeed works quite nice. But it often jumps the gun, forgets, doesn't give a f- about my instructions, or whatever. Maybe more robust local models will better.
This is just demonstrably false. It often IS very helpful. It's annoying that people continue to ask basic factual questions without taking easy steps to solve the problem themselves. I can't remember the last time I "asked someone a question" that it was possible to figure out for myself.
It's the people who keep asking basic, easily researched questions and then wait for you to explain it to them, without first trying to resolve it on their own, that are being anti social, not the people trying to help them.
This is much the same as when Google was relatively new, and people hadn't adapted to it yet. I would get asked questions constantly like "what is the name of the class that does X" and since I usually try not to be too much of a jerk, I would often stop and go open a source file or look in the docs for the person. I know there is a class, and I think I remember what it's called, but I need to go double check it. That usually meant googling for the docs, clicking the first result, and sending them that link along with the specific answer. Sometimes when they asked me I was frustrated about something else or just in a bad mood, and I would tell them to f**g google it, I a not their research assistant.
Ignoring AI is the same scenario as ignoring Google but worse. I am not your research assistant, and worse, there is an artificial research assistant standing by 24/7. If I have to paste something in AI and paste the result back to you I am not the asshole in this situation. If you go do the work to check yourself and it's not something you can just verify conclusively and you need to be sure it's not the AI fooling you, then I am more than happy to look at what you have and lend any expertise I can add to the situation.
Dont be a meat proxy! simple
Would be interesting if someone said “I spent $2.50 using llm-council with the three top SOTA models and think this reply makes sense: {paste}”
(But better “not sure, though after spending a few bucks on model APIs, perhaps {human-written analysis} is in the right direction”)
Also like you, I did think on the angry version “they have the same AI you do” isn’t likely to be right in the consumer space since their AI is ChatGPT (free version?!) and yours is Claude or something.
Over time, it was impressive to see how much the output of the same prompt would differ between us, and it seems to be heavily influenced by the role of the user. I.e. answers coming from the agent of a Data Engineer, a Backend Engineer and a Domain Researcher would not be the same at all. Some of us use harnessing tools, some not, but regardless it we saw differences.
So, for example, when a backend engineer would send a question to a data engineer, there was *some* added value even when it was a lazy copy & paste.
You're gonna need a stronger language. Why do you think people love AI? If I have to think and god forbid read the response I might as well live in the woods or something
Especially today, I will prefer your slightly funny English to something that feels like AI.
And personally I do Support for people around the world and I often ask people to write in their native language.
Then I can translate myself and if the default ai translation gets something wrong I can add necessary context to improve it - which I can't really do if the only thing I get is the bad ai translation.
Der skal kom et tid hvor du skal tale på en sprog på dit kontor. Uden hjælp. Du har bruge for at øve dig, og folk er alligevel pænere end du tror.
(this being written in a foreign language I am learning is part of the point)
And in my experience, us Brits, and USA folk, we tend to be quite understanding of broken English
DO NOT FUCKING PASTE AI RESPONSES TO ME, EVER, PERIOD.
When someone tells me they "talked to Claude" they sound retarded. Just tell me you looked into it, and I fucking swear to god if you just took what Claude said verbatim and do not understand the problem then you are a cunt and I will stop working with you.
When someone pastes LLM output in chat I completely ignore it. I will just continue the conversation as if they said nothing and silently mark them as cretinous in my mind.
This is not up for debate, you will talk to me in short well formed sentences and get to the fucking point or you will fuck off
[edit] to extend the connections The charm of a messaging board like this is bringing "join attention" to a topic, not just sharing separate monologs.
And also, always wondering if something was written by a human or statistically generated could be seen as Epistemic Hypervigilance, leading to stress, and loss of epistemic trust. This could reduces opportunities for taking on new information of feedback, and cause rigidity and isolation.
Almost certainly written by AI
It also ends with "written by a human, on purpose"
Excellent advice, with one very large exception based upon human foibles.
Occasionally there are people who do not ask things in good faith. They ask you a question not because "they wanted your take on it... Your context, your taste, your judgement". Instead they ask the question because they're then going to go to extensive lengths to find every possible counterpoint or opposition to whatever answer you give. In 2026 those sorts of people who will ask and then revert 30 minutes later, after you've carefully detailed a well thought out answer, that "ChatGPT says..." Add that for time eternal they will hold the fact that you answered something for them as a liability that you must atone for, and for which you are responsible for every ramification of their interpretation of your answer[1].
If you ask someone something and they just copy an AI answer, it's such a cop out that I imagine there are many cases where the person knows they're dealing with someone who "asks questions" like this. I have people who I give thoughtful, considered answers to, but then I also have people that I basically say "I don't know...Google it", because giving an iota of an answer always turns out to become something I regret.
[1] - This is not unlike helping someone with their computer. There are people who we love to help, but then there are people that will then ascribe everything that ever goes wrong with their computer for time eternal to that time you showed them a shortcut in Excel. CPU died six years later? Probably because of that shortcut.
If you are getting blocks of llm text perhaps it's because you don't deserve their input and could have satisfied your query by not making it someone else's problem.
This is really useful, I wish more people would understand this: you don't have to have an opinion on everything. In fact, you probably shouldn't have an opinion on most things.
My own take on the AI issue: https://blog.gpkb.org/posts/just-send-me-the-prompt/
I like to think it helped, but likely what helped was that nobody seems to use Deep Research anymore, haha.
I do. "They all have the same tools as I do" is exactly what's infuriating. They either blatantly don't use them, or are too incompetent to do so effectively, which would track.
I have been making an effort to provide an "AI;DR" section as well, even before the term existed, because of brevity. But sending along the full(er) text as reference I think is perfectly fine in such cases.
and i detest ai slop
so my solution is to speak combined with an ai cleanup like macwhisper or wispr flow of all the uhs and ahs and repetitions or rephrasings etc
you can even use ai to pretend a conversation or interview style
then i have stuff to edit
boom
Disagreed. Bad writing from a chatbot beats worse writing from its user every time - regardless of length.
One reason we have so much bot slop is the attractiveness of bad-writing bots to the many people whose writing is even worse.
OMFG! Even the "don't send AI answers" page text is fucking AI slop.
Can't they be bothered to write 200 words of their own?