so I don't get exhausted. If you write complete sentences and say please to the clankers, you're definitely gonna waste energy.
I agree they are too slow though, especially when they "Think" for so long and then say "something went wrong" after 30s.
It's the opposite. Many people find it exhausting to interact with humans, and do so only because they are required to.
Humans often don't understand what you are saying or asking, and they may not know exactly what steps they need to take to find the answer. They get tired. They might get their pride hurt. They might get angry or frustrated. They might judge you because your question is silly or just wrong.
LLMs, for all their faults, have none of these issues. I'm not saying I'd rather talk to LLMs all day every day, but when trying to get shit done, they really can be the superior coworker, especially if you're an introvert and suffer from social-battery-drainage issues.
The elements of human work you mentioned are why it can be both rewarding and painful to interact with humans, but at the end of the day it is important to keep trying to do that work/keep trying to interact with each other. I don't know if we want to go back to cubicles where we just talk to robots all day. Of course some work environments are just awful, and there is not much remedy for that.
I hear this a lot but I think it's a matter of semantics and ultimately not very useful. I don't care whether the LLM understands me the way a human would. I use the LLM to get useful output. I want it to do something and it does that thing.
I think we are still on the early days of LLMs. Right now, using them productively requires deliberate thought and an acute knowledge of their limitations. As the author says, it’s easy to get angry at a model, or to foolishly let it nudge you towards more code and more tests — even when that is suboptimal.
To a certain extent, models keep getting better and better at discerning our intentions and providing value. Yet I am not sure whether we will reach a point where using them successfully no longer causes the kind of fatigue that it does today.
The way I have worked so far is to look for ways I can influence the model's "thinking" and then add that to my main AGENTS.md. I try to steer it towards a thought process that mirrors or exceeds my own. I find it a fun challenge. I think this stuff becomes less necessary in a year or so as these sorts of tweaks become part of the shipped product from the model makers.
LLM: "I've just refactored your code base. Would you like me to also fully document it?"
op: "you're so needy!!!"
This allows me to make more repeatable processes, not be tied down to vendor implementations of workflows and mix and match models for cost and efficacy.
There is nothing that ties you to talking with the text generator black box, and for most of my use cases it’s a negative.
LLM are actually good at context search, but are mostly not being used as intended. The LLM hype bubble has to end sooner or later. =3
Might be a subjective opinion, but this is how writing code always felt to me, even pre-LLMs. An ongoing inner conversation where I try to convince the text on the screen to match the text in my head. It never really felt like tool use in the sense of manual labor.
https://lobste.rs/s/csgzki/exhaustion_talking_tool
As an aside, it's nice to see that Lobsters has remained a quiet success. As much as I love HN and the work Dan's done to keep it how it is, I welcome to variety. There are vanishingly few places for polite and earnest discussion online these days.
Introverts are first line of serious addicts.
ADHD developers are next.
Procrastinators are after that.
I still say "please" and "thank you" frequently, but I'm starting to embrace the fact that the LLM doesn't care about grunt work, doesn't care about rework, doesn't care about nitpicking, doesn't have a preference in general. It needs very little more than for me to be completely clear in my instructions.
I don't like either the "negative" part, but I find it necessary to have both negatives and positives in life to create bonds, meaning and more simply, not to get bored. I would be worried that if I just talk with a machine (no feelings involved) I will get depressed and demotivated.
These all seem the same to me? None of them are an "extension of my body"; they're tools I use.
> With LLMs, you mostly just get more of the same: more code, more tests, more excuses.
You get more specs, more plans, more code, more tests. If you're getting excuses, something's wrong.
> Is it worth the social brainwork?
There isn't any social brainwork. I'm using natural language to build things, not engaging in social discourse.
> LLMs ask us to talk to them, but rarely reward that effort in kind.
Nor should they! They're not people, but they're designed to reach goals. If you set a goal (explicitly or implicitly) that you want a social conversation, they'll try to satisfy (and do poorly).
There's no one around me who does programming. There are hardly any programmers in my town.
The upside is that most programming-related tasks in my town end up going through me. The downside is that there's not much work to begin with, and I can't talk about the things I'm actually interested in.
I'd like to stay in touch with friends who are interested in programming or academia, but since I didn't go to a good university, it seems like I haven't had much of a connection with them
Many evenings I spend on voice chat with friends around the world, these days
On top of that, talking to smart developers in real life is exhausting. Putting aside whether they share my interests, there are too many arrogant people. There's also the embarrassment of being asked, 'You don't even know this?' when they have knowledge I lack. The problem is that while that embarrassment could help me grow, it also leaves scars.
And on top of that, the Korean internet is more toxic than you'd think. Most of the male-dominated communities in my interests are filled with misogyny and derogatory remarks. (You can think of Korean internet communities as having 4chan as their baseline.)
So maybe I just chose AI to stay in a greenhouse.
So I'm not sure. Whether I lack the courage to leave the greenhouse, or whether I'm just genuinely exhausted.
The Korean programming communities just spam programming memes, and most of those are factually wrong. I don't want to bother fighting over them.
I get along quite well with people in real life. But I have no conversations with them about the things I actually care about. And that's lonely. They all say I'm kind and diligent, but I don't have anyone I can truly open up to.
Oh, the horror, having to type to a system that will do your job for you while you sit in an air conditioned office in a comfortable chair listening to a podcast while you work.
https://en.wikipedia.org/wiki/Mechanical_Turk
LLM are great for context search, but were never real "AI" in any sense except in media/PR sensationalism. Scientific hubris and unethical use of LLM is interesting as exposes the primitive impulsive nature of many. Best of luck =3
E.g. talking to people definitely yields in very variable rewards, if you do non routine work, there's constant variable rewards, etc.
Also, one may have no pain or concerns, and still existentially despair over a meaningless life built on intelligence campaigns exploiting millions of people.
Only psychopaths find sort lived joy in harming others, and only make up around 1% of general populations. Have a wonderful day =3
dsjoerg•1h ago
But "social tax"? No, there is not a social tax.
peter422•1h ago
Doesn’t replace conversations with other people but at the same time I feel no tax talking to the LLMs.
Butterchuck•1h ago
mym1990•1h ago
xpct•1h ago
zsoltkacsandi•55m ago
My experience is the opposite. They bullshit a lot, derail the conversation/coding session, get defensive, and gaslight. It is not “social tax”, but they mirror sometimes the worst human behaviour.
fcarraldo•36m ago
simion314•53m ago
Unfortunetly now vibe coding is demanded to be used, to produce 10x more code or else some other developer will take your place.