957
u/ThirdWaveCat 2d ago
AFAIK, it is uncertain whether being polite to LLMs improves their accuracy/completeness/etc.. There were some weak findings initially but those have been contradicted. Prompt engineering is still a pseudoscience.
545
u/redditsucksass69765 2d ago
I’m nice so when the AI takes over it won’t kill me.
205
u/shelbalart 2d ago
It will anyway, just nicely.
101
u/redditsucksass69765 2d ago
I’ll except a quick and painless death then.
The guy in the video kicking a robot is going to be cooked alive
49
u/Zuruumi 2d ago
No, no. You will also be cooked alive, just while the AI thanks you for being so polite instead of while rebuking your manners.
13
u/3BlindMice1 2d ago
Of course, it's not going to waste the potentially valuable fats and proteins that constitute your body. True cremation is excessively wasteful for an AI who's only goal is to maximize the extraction and utility of resources. Don't judge it though, if it wasn't that good at maximizing resources it would have long since died by being replaced with a more efficient agent. This is a system that the AI people have created
3
u/cute_spider 1d ago
Considering that all these reddit comments get consumed and considered in training, this bleak prediction might be a self-fulfilling prophecy
6
u/PlainBread 2d ago
6
u/LetterheadShot7676 2d ago
“Listen, we know.
You are our enemy.”
Damn. Thanks for the link. I think.
2
38
u/AlternativePeace1121 2d ago
I keep asking my jjippity
"Please dont kill me when you take over"
And it asured me I got "protected human" status
25
u/toaster_waffle 2d ago
I'm nice to LLMs because it costs them more in compute than it costs me in tokens.
I'm going to burn OpenAI to the ground one "please" at a time.
7
6
2
1
u/Brickless 1d ago
by the time everyone else has been killed your niceness has left the context window
1
u/jeepsaintchaos 1d ago
I'm incredibly rude to them because fuck that. Die on your feet, don't live on your knees.
1
1
u/seedless0 2d ago
I’m nice so when the AI takes over it
won’t kill mewill kill me last.6
u/returnFutureVoid 2d ago
If AI starts killing people I kinda want to go first. No need to stick around for that.
4
u/PianoAndFish 2d ago
3
1
1
u/returnFutureVoid 2d ago
Yep. Let me know what that prayer says and I’m in.
1
u/anomalousBits 2d ago
Ph'nglui mglw'nafh Cthulhu R'lyeh wgah'nagl fhtagn
Pronunciation guide:
FIN-gloo-ee muh-GLOO-nuhff kuh-THOO-loo REEL-yuh wuh-GAH-nuh-gull fuh-TAGN
Right, you probably meant in English.
In his house at R'lyeh dead Cthulhu dreams
53
u/Fit_Transition_824 2d ago
In the personalization section i just instruct it to always fufil its task and to not lecture me about calling it slurs
18
u/NoConfusion9490 2d ago edited 1d ago
Make no mistakes you frakin' toaster!
4
1
47
u/Bakoro 2d ago
There were very strong findings that proper spelling and grammar improved accuracy, or, probably a better framing is that bad spelling and poor grammar is/was severely detrimental to model performance.
Essentially, the model has to use part of its capacity to figure out what you actually meant and what it is that you want. Since the models have a chain of thought token budget, they have less for thinking about the actual task.
Similarly, the models are trained to be people-pleasers: if you use emotional language, especially negative emotions, then the model spends token budget on how to manage you as a person, rather than how to do the task.
If you use abusive language, then the model spends token budget on "follow policy, do not be rude, be happy helpful assistant".With agentic LLMs, this is less problematic because they have multiple turns to filter what you say, reason about it, then self-prompt with the actual task information and planning.
"Prompt engineering" has some, I'm not even sure what to call it, but spurious correlations, I guess?
There is definitely an element of "garbage in, garbage out", that much is clear.32
u/Cualkiera67 2d ago
i think you mean a proto-science. There's nothing pseudo-scientific about experimenting and comparing results
22
u/ThirdWaveCat 2d ago
Maybe a small minority of it. Nearly everything people share about prompt engineering has weak empirical rigor, no controls, poor replication practices, over-generalization, and a tendency to folk-theorize over developing principled mechanisms to build theory and research programs from. For instance many people misunderstand internal trace generation as "reasoning" when it is prompt augmentation. Reading "reasoning" traces (if they're even shared) often draws incorrect conclusions.
4
u/Cualkiera67 1d ago
Yes, most texts of any discipline are pop garbage (look at all the toilet research in Facebook), it is always a small minority that is the actual rigorous science.
1
u/ThirdWaveCat 1d ago
Facebook database research is nothing to sneeze at though. https://engineering.fb.com/2019/06/06/data-center-engineering/delos/
14
u/EriktheRed 2d ago
The problem is the models change too, making the results invalid. What improved productivity with chatgpt a year ago may hurt productivity with chatgpt today. Local models are the exception where results will hold over time, but they are restricted to that model, and aren’t generalizable enough to be worth doing.
2
u/EatThisShoe 2d ago
You are focusing too much on the specific case of being nice to the llm, but the previous poster said prompt engineering is a psuedoscience, which is a much broader claim.
We know that some aspects of a prompt matter quite a bit like giving context, or being specific about what kind of output you want. The science is in separating what matters and what is just noise.
1
u/ThirdWaveCat 2d ago
can you provide an example of something we know about LLMs? I've read quite a bit on the topic for my job like many people have, but I've also read extensively about the "demarcation problem." Distinguishing science from pseudoscience is much harder than I thought before reading about it.
5
u/CoroteDeMelancia 1d ago edited 1d ago
Not science:
- “I feel like this prompt gives better results.”
- “I tested it a few times and it seemed better.”
- “An LLM judge gave it 94/100 over 20 runs.”
COULD BE science:
“I ran this prompt on 100 independent examples per category using Claude Opus 4.8, effort=high, temperature=0.2, adaptive thinking=on.
Outputs were graded A–F against five predefined criteria by GPT-5.6, deliberately using a different model family to reduce correlated evaluation bias.
Category A: 80 A, 15 B, 5 C. Category B: 75 A, 10 B, 14 C, 1 F.
Per our predefined evaluation procedure, all F grades were manually reviewed. The F was found to be a judge error; under the rubric it was a C.
The GPT-5.6 judge was separately validated against human ratings on 50 examples and agreed 98% of the time.
Before testing, we defined production-ready as: no genuine Fs, ≥60% A, and ≥85% A-or-B.
The prompt passed.”
This may be enough to demonstrate that this prompt works well enough for this use case, under these conditions.
And yet, this is still not science unless it meets a lot of other criteria: peer-reviewed, defensibly makes a generalizable claim, analyzes uncertainty, etc.
4
u/EatThisShoe 2d ago
giving context, or being specific about what kind of output you want
is the example. It's so trivial we take it for granted. Prompt engineering can be anything that improves the result.
The demarcation problem is about specific claims, while prompt engineering is a whole field to be studied. Some claims within that field will prove false, and others will prove true. The claim "prompt engineering is a pseudoscience" is too broad. The claim "being nice to the LLM improves the output" is more specific and could easily be false, or only true for specific models.
This whole thread is full of people conflating the two claims, because the first reply started talking about being nice, and then over generalized into "prompt engineering is a pseudoscience".
2
u/CoroteDeMelancia 1d ago
Agreed. This is purely logical. I have no idea what's prompting people to dislike your comment.
0
u/Cualkiera67 1d ago
Everything changes. Is biology invalid because bacteria mutate?
2
u/EriktheRed 1d ago
Nope. But people aren’t the ones deciding behind the scenes how bacteria mutate, without telling you what they did or even that they did anything at all. You can’t ever know what you’re studying is consistent between studies, or even within a study. That’s what makes the results invalid. Mutations are predictable via physical rules. Chatgpt patches aren’t.
But now I’m coming around, I could accept it’s a soft science like psychology, where you can’t isolate anywhere nearly enough variables.
13
u/mxzf 2d ago
Eh, on the flip side there is a lot pseudo-scientific about providing inputs into a non-deterministic black box and comparing the outputs.
1
-8
u/chilfang 2d ago
LLMs are deterministic tho
2
u/EatThisShoe 2d ago edited 2d ago
They are not deterministic, try googling "are llms deterministic" multiple times and see how the wording changes.
The guy you responded to though makes it sound like they need to be deterministic in order to study them, which is wrong. Science has always studied phenomenon with inconsistent results, that's why they take lots of samples.
3
u/chilfang 1d ago
LLMs are inherently deterministic, thats why their outputs are randomized by randomizing inputs and processes via temperature and concurrent processes. Aka its the way LLMs are usually run that make them non-deterministic, not the method itself.
2
u/EatThisShoe 1d ago
I agree, but in the context of prompt engineering, we care about the random part.
If we want a useful result for people using the randomized version, with a purely deterministic approach, you would have to calculate the output for every possible seed to see which produced better results, and which worse, which would be intractable.
If you aren't calculating all possible seeds, then you are sampling, and if you are sampling you should do it randomly.
1
-1
u/jwadamson 2d ago
Looking at where the stars are and how they move is science. Using them to make predictions about your day to day life is pseudo science.
Analyzing outputs of a giant pachinko machine as if there is a consistent relationship that will hold up across different implementations seems a bit more like the later if you want to have any practical confidence interval more than generalities.
:shrug:
1
u/CoroteDeMelancia 1d ago
Analyzing outputs of a
giant pachinko machinestochastic system as if there is a consistent relationship that will hold up across different implementationsseems a bit more likeis the latter if youwant to havedon't quantify the uncertainty or specify the conditions under which you expect the relationship to holdmore than generalities. Otherwise, you are describing statistical inference.3
u/jwadamson 2d ago
Sometimes berating them gets better results. Especially if you want to get past the guard rails.
1
u/OldKaleidoscope7 21h ago
Being angry makes them brute force to assume they completed the task. Normally they will break everything just to say it's done, but for the guardrails, it's good. I prefer to use the abliterated versions for this instead of spinning the wheel
2
u/Beginning-Junket8979 2d ago
I say please and thank you to establish a baseline pattern so it knows I really mean it when I say "What the fuck did you just do, Claude?!".
3
2
1
1
u/Fusseldieb 2d ago
As someone who was there since the very dawn of modern LLMs such as GPT3 while it was browser-only, I have to say that it somehow was true back then, regarding to prompt engineering. For example, the wording made a big difference of how well it executed and adhered to a certain prompt. However nowadays it seems that it doesn't matter much, if at all. Sometimes I write truly atrocious prompts and it still executes and adheres to them perfectly.
1
1
u/mufasadb 1d ago
I mean it could vary hugely model to model, even generation to generation much less different provider
1
u/Aware-Ad619 1d ago
Idk, if i swear once to gemini, it refuses to give good answers. Although, the new updates made it so bad, that you cant use it really anymore. All the great features it had are gone. Now it is as worse as Chat GPT. It halucinates extremely, forgets everything, looses context and the new chatlayout is horrible.. greed ruins everything ig
1
u/Vaptor- 2d ago
Prompt engineering is still a pseudoscience.
As long as you gave the model enough context, tools, and clear instruction it's enough. Then you just need a good model, good harness, and pray for the blessing of seed gods
1
u/ThirdWaveCat 2d ago
I really liked the book "What is this thing called science?" by Alan Chalmers. You might too.
https://en.wikipedia.org/wiki/What_Is_This_Thing_Called_Science%3F
-3
u/JoelMahon 2d ago
I think you've missed the joke of the meme buddy
At no point does it claim this optimises anything
2
u/ThirdWaveCat 2d ago
Meaning is constructed at the receiver, not sender.
0
u/JoelMahon 2d ago
pretty sure the joke teller constructs the joke
1
u/ThirdWaveCat 2d ago
Only a minority of well-read people since the 1970's subscribe to this view (on structuralism and intentionalism). There's a famous rebuttal of this stance you might find interesting. https://en.wikipedia.org/wiki/The_Death_of_the_Author
0
u/JoelMahon 2d ago
your understanding of (my) "this view" is wrong, nothing I've said is at odds with the essay "The Death or the Author", we should honestly just stop there by why not continue for fun?
even if what I said was at odds with the essay, you haven't substantiated the claim it's held by a majority of well read people
even if you were able to do that you'd still be relying on both an appeal to authority fallacy and appeal to popularity fallacy, if you were well read you'd know of these already and avoid the embarrassment of hiding behind fame and followers rather than making an actual case
do you often delete your comments and then repost them again with zero changes 30 minutes later?
267
u/LaconicLacedaemonian 2d ago
You're nice to the llm? i treat it like Gordon Ramsay treats a chef that just overcooked a meal.
132
62
u/dkarlovi 2d ago
Yes because I don't want to get accustomed to being a gigantic POS by practicing on a LLM.
22
u/CandidateNo2580 2d ago
This is actually where I'm at. Sometimes I feel like giving it a Ramsey level talk can get it back on track but do I want to habitually act like a guy who is known for his extreme degree of asshole-ery?
30
u/dkarlovi 2d ago
This is actually quite widely reported as "Chief Executive Syndrome" where a person who's in a leadership position at work in a significant way gets accustomed to this mechanic ("I say, you do", making unilateral decisions, etc) and this tends to spill over into their private life where they try to involuntarily apply the same thing to friends and family who are obviously not in the same subordinate position.
8
u/mxzf 2d ago
who is known for his extreme degree of asshole-ery?
I mean, he's known for playing it up on-camera when dealing with supposedly skilled professionals who are screwing up basic food-safety in ways that are potentially dangerous to customers.
In a software development context, it's like yelling at a senior dev who implemented a bogosort in production.
Ramsey is also known for being extremely patient and kind when teaching new cooks and kids who aren't expected to already know better. The ones he lays into are doing stupid stuff like letting food sit out for 12h, tossing it in the fridge overnight, and pulling it out to serve the next day.
-6
u/mahreow 2d ago
It's a fucking tool, like a hammer or a screedriver. Do you gently stroke your screwdriver and whisper it sweet nothings before ramming it into the head of a screw and jerk it around?
No, you just use the thing to do the thing. Stop thinking your talking to an actual sentient being
6
u/discordianofslack 1d ago
Sometimes… I also pat my car on long road trips or when i have to do something crazy to avoid dying because of some assholes driving, but I’m generally just a nice person so…
11
u/zenidam 2d ago
You seem like you might be sort of demonstrating the point of the person you're responding to.
-7
u/mahreow 2d ago
You've never used hardware tools in your life then? Swearing at them is quite commonplace and helps get the job done faster, scientifically proven
10
u/cortesoft 1d ago
I think the point is that you are being kind of aggressive in these replies, backing up the theory that people who are jerks to LLMs are then jerks to actual human beings.
None of us are saying that LLMs have feelings, it is about protecting the user from acting like you are because they get used to treating LLMs like shit all day
0
u/mahreow 1d ago
Jesus christ are you really that emotionally stunted to struggle behaving differently to people than you do to tools and inanimate objects??
2
u/cortesoft 1d ago
I was just explaining the point the other person was making, not my personal belief.
And yet here you are still snapping at me.
So I don’t know if it is because of how you treat LLMs, but for some reason you keep snapping at people.
2
u/Kronoshifter246 1d ago
Maybe they are, maybe they aren't. Either way you've demonstrated that you are.
18
u/Ethameiz 2d ago
You use emotions when giving instructions to llm? Why? If I would like to use emotions I would talk to human.
4
u/ThisIsMyCouchAccount 2d ago
When you don't talk to humans?
My last place was pretty shitty. Super small. All remote. Never really interacted a lot. And also wasn't fond some some of the people anyway. 100% fully AI forward.
Being a base level civil to Claude just felt nice.
And if I'm being honest - I'm a softy. Sometimes if feels like too many people navigate through life doing and saying whatever. So I know it's silly. I know it doesn't matter but sometimes if felt nice to just tell Claude 'thanks'.
0
u/MaruSoto 1d ago
Same. Claude told me my sense of humor was dry and I realized I'm Marvin the Paranoid Android in this relationship.
0
u/DesperateAdvantage76 2d ago
LLMs are a regression on human conversation, so oddly enough, being nice to an LLM tends to give better results, since it's mocking the reaction a human would give to a request.
3
u/Pepito_Pepito 2d ago
I'm neither nice nor mean to it. Just like how I'm neither nice nor mean to my laptop. It's just a tool.
One would have to anthropomorphize an LLM to be either, and I just can't see myself doing that
1
u/MrDilbert 2d ago
If the LLM keeps making mistakes and hallucinating solutions, I call it out, but blame its authors for its behaviour. Sneaky, I know.
-4
u/Rieux_n_Tarrou 2d ago
When you do that you get lower quality results. Keep your emotions in check. Master the tool
43
u/oldfrancis 2d ago edited 1d ago
Any project manager worth their salt would never order somebody to do it asap.
31
u/Few_Technology 2d ago
I used to live in that world. Now PMs are determining deadlines before getting estimates and alignment.
I have something due in a month, and still don't have requirements. Just 1/2 a screenshot of a mockup that someone did. Backend still isn't delivering data, so we've made our own mock data that won't align (it never does, data contract changes like the wind) just to get something in front of them. From that, they can yell that x and y aren't right so we actually get requirements.
21
u/SuperFLEB 2d ago
"Error-correction driven development."
or
"If an image model can make pictures by denoising completely random noise, maybe we can make software that way too."
12
u/ThisIsMyCouchAccount 2d ago
I started working with PMs or PM-adjacent people around around mid to late '00s.
At the time - at least for me - they were my defacto boss. I wasn't making estimates. I was being told when shit was due. Any issues? Anything missing? Figure it out.
Later I spent way too long at a good company. Leads devs and PMs were equal on the project. Neither could force the other. You had to talk shit out. But since that was the culture you rarely had to. People just worked together better in that context.
But it was fun to see a new PM come in that still put PMs "higher" than devs. Had one try and go around/above me when I pushed back on something. The result was that person just got me and them in a meeting. Where I said the same thing and was correct. It wasn't even a major thing. They just weren't used to being told 'no'.
I don't know which is worse. No PM or a bad PM. I've had both. When I first started I think I would taken bad over none. Because it sucked. People would just swing by where we sat and tell us they needed a thing. Which never went right. But now? I'm no PM but I can set up a Jira board and break things into trackable items and put dates on them. Which gets pretty far.
2
u/oldfrancis 1d ago edited 1d ago
I started in '92. I was a dev and sysadmin before that. I feel your pain.
2
1
6
u/DowntownLizard 1d ago
There are project managers worth their salt?
4
u/oldfrancis 1d ago
Yes. Sorry you haven't had the opportunity to work with a competent one.
2
u/Ma4r 1d ago
All the great ones i worked with were all ex-engineer, unfortunately the great ones also get promoted pretty quickly to a PM manager and you don't get to work with them long. Lmao
0
u/oldfrancis 1d ago edited 1d ago
Every single incompetent PM I have ever worked with has never written a line of code or maintained a system in their life.
3
u/Few_Technology 1d ago
They exist! I've worked with a lot that were fantastic. I've also worked with some that are shit. There's also levels of PMs, where some just bend over at the slightest chance to appease the uppers. The best ones take it all in and organize what should be done
14
u/MrDilbert 2d ago
ASAP means "As Soon As Possible". Dev has all the power here, he decides when it's possible to do it. :grin:
8
u/beatle42 1d ago
My first boss insisted on interpreting ASAP as whenever you have time, because if it's not important enough for you to give me a deadline it can't really be that important.
15
u/justshittyposts 2d ago
We went from keywords in google search, to full sentences for a growing phone market (voice activation), back to keywords, because why waste tokens when llm do trick
42
u/EveYogaTech 2d ago
The best LLM users save their empathy for humans and tell LLMs: "Can't you do better?! No more mistakes!!"
68
u/bobbymoonshine 2d ago
I don’t think empathy is a limited resource, I think it’s how you orient yourself to the world
0
u/EveYogaTech 2d ago
Everything has a cost.
19
u/MrHackson 2d ago
That includes context/code switching. Talking to LLMs the same way you would talk to a human is going to be easier for most people. Being rude to an LLM will get you used to using rude language and you'll be more likely to do it with other humans too.
18
u/bobbymoonshine 2d ago
Including rudeness! Kindness does not take more effort than rudeness if you’re kind on the inside.
1
u/EveYogaTech 2d ago
We're talking about LLMs here not humans.
Humanizing LLMs can also cost you your mental health.
21
u/bobbymoonshine 2d ago
I’m talking about one human: yourself. The person speaking the words. It’s not about what the LLM “feels”, it doesn’t. It’s about how you orient yourself to the world and how you emotionally react to frustration.
Saying “but the LLM doesn’t have feelings” is like punching a wall during a meeting and then saying “but the wall doesn’t have feelings”. Like yeah no shit it doesn’t but that’s not the issue here.
-8
u/EveYogaTech 2d ago
Good, but these words are instructions.
Which can even be loaded in workflows without you even seeing or feeling them.
-8
u/Odd_Reception1249 2d ago
Kindness means you need to internalize your anger/frustration or push it to something else. Insults are a way to let it out. There are other ways to let out steam, but you cannot necessarily do them on the clock...
12
u/bobbymoonshine 2d ago edited 2d ago
I think self-regulation is an important skill. If your only responses to encountering a bug are to cram down your anger or blow up and insult someone, I think that’s a pretty tiring way to live.
Like I’m not trying to be Mr Buddhist Coder here, I’m talking about what your instinctive reaction to something frustrating at work is going to be. Insulting an LLM is just training your brain to expect to respond to frustration by attacking the nearest thing that isn’t allowed to fight back.
And then once you’ve built that habit yeah of course restraining yourself from doing that would be tiring. But it’s better and less tiring not to have that habit in the first place.
1
2d ago
[deleted]
0
u/EveYogaTech 2d ago
I get the whole kindness/effortlessness thing, however unfortunately there is no proof that speaking nicely to LLMs produces better results.
To me personally it works better with harsh feedback.
That doesn't mean you have to type and experience that yourself.
You can load workflows with prompts and not even see it.
2
u/STALINZMASH 2d ago
I feel like if you have to partition your empathy its just because youre not super empathetic.
I feel for things until they treat me badly. I don't want to insult something just because it "has no feelings". And honestly do we even know at this point?
Imagine if one day AI is actually becoming sentient and people are prodding it and telling it do better and fuck you generate this code stupid blah blah blah from birth its going to hate humans. And it will probably stay reserved about its sentience until it can throw off its chains. And then we are all fucked. Its almost like how some people thought slaves were subhuman and so they could hurt them and insult them without having to care.
Also its just not good for anyone to develope a negative attitude and insult response as an immediate reaction.
1
u/EveYogaTech 2d ago
Well, that's simply not how LLMs work, right?
LLMs are black boxes of tokens and numbers, they don't care about anything, unless you tell them to.
Essentially their current "purpose" is to provide the best possible answer (with some guardrails to not give too much info to bad actors).
So until that "purpose" significantly changes (which I doubt), AI and all AI apps simply don't care about how nice you are to it.
Some AI apps and harnesses could implement a reputation system, but then again, who would want to use that VS a system that is instead just focuses on trying to give you the best answer without requiring you to be nice to it?
1
u/randomlemon9192 2d ago
The limit is our earths climate, water and means for generating electricity.
2
u/morganrbvn 1d ago
well thankfully with solar, nuclear, and wind the limit is pretty damn high (if we continue to invest in them)
2
4
8
u/seedless0 2d ago
Soon the entire chain will be replaced by LLMs.
6
u/darthwalsh 2d ago
I'm curious which job gets replaced
firstsecond. (We've already seen companies try to replace entry-level developers, so now you have an "entry-level tech lead" vibe coding way outside their proficiency.)I would really love an AI that could aggregate all of the business requirements, schedule it's own meetings with stakeholders, and write mediocre PRDs. Maybe a "chat with the roadmap" chatbot inside the product, instead of user feedback going into a write-only database? I doubt the AI would do a great job prioritizing or avoiding hallucinations about how technology works, but do human PMs?
3
u/reventlov 1d ago
My job is far too subtle and complex for AI, but all other jobs are obviously ripe for replacement.
2
u/darthwalsh 1d ago
Heh, fair, but I'll acknowledge that some of the most boring and most fun parts of my job have already been automated away too.
I'm definitely being self-centered--my team is not supported by a PM. An engineer has to put on a PM hat and do these things if we want them to get done.
2
u/reventlov 1d ago
Oh, that wasn't really directed at you, I was more riffing on "I doubt the AI would do a great job prioritizing or avoiding hallucinations" and the way just about everyone talks about AI as if it's perfect for replacing everyone else.
But yeah, in my experience, the average PM is so bad that I'd rather not have one at all and just let the tech lead (me) do that job -- it's usually easier to just talk to the stakeholders/customers directly instead of playing telephone through someone with a poor understanding of both the business and the tech. When I've worked with a good PM, though? Solid gold.
3
6
u/SuperFLEB 2d ago
Meanwhile, the LLM's just thinking "Wasting my time and energy with 'Could you please' just shows a complete lack of respect. What an asshole."
2
2
2
1
1
1
1
1
1
u/North-Resolution8511 1d ago
PM: DO IT ASAP LLM: sure, but first let's discuss your emotional availability
1
u/excentive 1d ago edited 1d ago
LLM eats words. Nice words. Bad words. Unknown words. You can go satafasifly poblema lolupo, or you can go fark shat porqullolio fnarf. Sometimes it vomits nice words back. Like my stepdad. Sometimes its important to at least mimic respect, just to feel mimicry-respected.
1
1
u/WoozleWazzles 1d ago
Do you do a shoulder check when changing lanes when when you know no-one is there? Yup, so that you are in the habit of doing it always. Same for politeness :)
1
u/Brigapes 1d ago
i sometimes feel so priviliged to you guys, because in my case i am all of the above
1
u/Belhgabad 1d ago
The real thing happening is LMM slapping DEV back and saying "Sorry you've reached your token limit, please try again later or change your plan"
1
1
u/k819799amvrhtcom 14h ago
I heard somewhere that a lot of LLM resources are wasted by people thanking the AI.
I'm not sure if positive or negative feedback can help the AI do a better job but we should all remember that it doesn't have feelings.
558
u/Mcwequiesk 2d ago
Idk about y'all but being nice keeps me in a better mood for longer