I think we are going to be seeing a vast partitioning in society in the next months and years.
The process of forming expressions just is the process of conceptual and rational articulation (as per Brandom). Those who misunderstand this -- believing that concepts are ready made, then encoded and decoded from permutations of tokens, or, worse, who have no room to think of reasoning or conceptualization at all -- they will be automated away.
I don't mean that their jobs will be automated: I mean that they will cede sapience and resign to becoming robotic. A robot is just a "person whose work or activities are entirely mechanical" (https://www.etymonline.com/search?q=robot).
I'm afraid far too many are captive to the ideology of productionism (which is just a corollary of consumerism). Creative activity is not about content production. The aim of our creation is communication and mutual-transformation. Generation of digital artifacts may be useful for these purposes, but most uses seem to assume content production is the point, and that is a dark, sad, dead end.
It is knowledge that gets automated, rather than reasoning.
I was thinking of the first solar civilization, which lives totally in space. Near a star, but not in a planet, and no gravitational pull anywhere. They build tubes 10 km long, a shot board is put at one end, and the players at the other end. They shoot darts at the board, and each shot takes 5 hours to reach the target. That's their national sport.
Problem is, I have never played darts, i don't know anyone who plays it, I will ask the LLM to fill in the blanks, of how a story based on that game could be constructed. Then I will add my own story on top of that, I will fix anything that doesn't fit in, add some stuff, remove some other stuff and so on.
For me it saves time, instead of asking people about something, hearing them talk about it or watching them do it, i do data mining on words. Maybe more shallow than experiencing it myself or asking people who know about it first hand, but the time it takes to get some information good enough collapses down to 5 minutes.
Depends on how you use it, it can enhance human capabilities, or indeed, mute them.
99% if not 100% of human thought and general output is derivative. Everything we create or do is based on something we've experienced or seen.
Try to think of an object that doesn't exist, and isn't based on anything you've ever seen before, a completely new object with no basis in our reality. It's impossible.
Writers made elves by adding pointy ears to a human. That's it.
This is an alarmingly reductionist statement that I cannot believe is made in good faith. If it somehow is, it's based on an abundance of ignorance that only highlights the importance of education.
Are you genuinely arguing that LLM output is derivative, and human output is derivative, therefore they're equal? Why don't you pop that thesis into ChatGPT and see how it answers.
Now: Did you think back to a time someone else added these numbers together, or are you doing it yourself, right now, in your head? I'm sure it's not the first time these numbers have ever been summed, but that doesn't matter. You're doing it now, independently.
Just because something isn't unique, doesn't make it derivative. We rediscover things every day.
Someone imagined space and time could be a deformed fabric. That was new.
In minor and major ways, new ideas are found or emerge from searches for solutions to problems from science to art. Or exploration of things in new combinations or from a previously untapped viewpoint.
Most people are not looking hard for anything beyond what they know. So not likely to find anything new.
But many people try new things, or try to improve or vary something in a direction that is not easy, and learning something nonobvious and new is the “price” they must pay to succeed. Or a bonus they are paid for pushing through a thicket, even if they don’t succeed at what they set out to do.
> Try to think of an object that doesn't exist, and isn't based on anything you've ever seen before, a completely new object with no basis in our reality. It's impossible.
This is an outrageous thought experiment. Novelty is creating new connections or perceiving things in new ways, you can't just say "try to have eureka moment, see! impossible". You can't prompt engineer your own brain.
> Try to think of an object that doesn't exist, and isn't based on anything you've ever seen before, a completely new object with no basis in our reality. It's impossible.
> Everything we create or do is based on something we've experienced or seen.
I would add a couple of things to that. First, humans (like other animals) have instincts and feelings; even newborns can exhibit varying personality traits as well as fears and desires. It's certainly useful to fear things like spiders, snakes, or abandonment without prior experience.
Second, an important part of experience is inner life - how you personally perceive, feel, and experience things. This may be very different from person to person.
What really fascinates me is gender based toy preferences at <2 years old. Very consistent that boys like race cars and action figures, even though it's their first exposure.
(I do not participate in culture wars, this fact just straight up fascinates me as a non-masculine gay guy.)
That is a nonsense definition of creativity. The parent also wasn't suggesting - as far as I can read - that creativity is defined solely in the realm of the "truly novel" (or "isn't based on anything you've ever seen before").
All creativity is a conversation between our own ideas and what already exists.
Consider the unused soundtrack to James Cameron's Avatar [0][1], where ethnomusicologists set out to create a kind of music that had never been heard before.
They succeeded. But it was ultimately scrapped for the film because - by virtue of it being so different to any music anyone has ever heard before - it was not remotely accessible to audiences and the movie suffered as a result.
To argue that work is not creative because it is still based on "music" is absurd.
It astonishes me sometimes how completely stupid and reductive some HN takes on arts and creativity can be. I am astounded continually at how we can produce humans who are so capable in one sphere of life and so ignorant and oblivious of others...yet all too willing to make dismissive claims about them...
Creativity is much more than the derivative production of artifacts. What the OP is driving at is that creativity is a process of human connection and communication—you can see this most clearly in the art of interpretation. A single literary work has an almost uncountable number of possible interpretations, and a huge element of its existence in the world as a price of art are the discussions and debates that emerge over those interpretations, and how they shape us as individuals, instill morals, etc etc. Quite a lot more than "making elves by adding pointy ears to humans".
Your post stinks of the very gross consumerist mindset the OP called out. The creation and preservation of meaning is about way more than the production of fungible decontextualized objects--it's all about the mediation and maintenance of human relationships through artifacts. The fact that the elves have pointy ears doesn't even begin to scratch at their actual meaning (e.g. they exist in a world with very big real problems that effect you and me too, e.g. race relations, and exaggerated features estrange these relations so as to make them more discernible to us and allow us to finally see the water we swim in).
If humans stop engaging with these processes, it's reasonable to believe that a lot of that semiotic richness, which is much of what, in my opinion, makes us human and not just super smart animals in the first place, will be lost.
Maybe it's like that because there aren't many novel opportunities for varied experiences nowadays.
The pointy ear sounds trivial in our experience, but it is radically different than ordinary everyday thought when observed as a piece of a whole imagined new world.
Of course, pointy ears now are not a novelty anymore. But that's beyond the point. By the time they were conceived, human experience was already homogenized.
The idea space for what an object is has been depleted by exploration. People already tried everything. It's kinda the same thing as saying that is impossible to come up with a new platonic solid (also an idea space that has been exhausted).
Any novel thought is bound to be nameless at first, and it becomes novel by trying to use derivation to define an unknown observation, not as a basis for it.
From all of my observations, the impact of LLMs on human thought quality appears largely corrosive.
I’m very glad my kid’s school has hardcore banned them. In some class they only allow students to turn in work that was done in class, under the direct observation of the teacher. There has also been a significant increase in “on paper” work vs work done on computer.
Lest you wonder “what does this guy know anyways?”, I’ll share that I grew up in a household where both parents were professors of education.
Understanding the effectiveness of different methods of learning (my dad literally taught Science Methods) were a frequent topic. Active learning (creating things using what you’re learning about) is so much more effective than passive, reception oriented methods. I think LLMs largely are supporting the latter.
Anyone who has learned a second language can tell you that you aren't proficient just by memorizing vocabulary and grammar. Having a conversation and forming sentences on the fly just feels different- either as a different skill or using a different part of the brain.
I also don't think the nature of LLMs being a negative crutch is new knowledge per se; when I was in school, calculus class required a graphing calculator but the higher end models (TI-92 etc) that had symbolic equation solvers were also banned, for exactly the same reason. Having something that can give an answer for you fundamentally undermines the value of the exercise in the first place, and cripples your growth while you use it.
> the higher end models (TI-92 etc) that had symbolic equation solvers were also banned
I'm surprised it was a problem in the first place. Don't equation solving exercises require you to leave intermediary steps, and you can't just put a "x=5" as a one liner answer ?
Comparing extracting a square root my hand is rather different in scope than reducing / simplifying equations entirely. The TI-92 could basically do all of your coursework for you up to college level, if memory serves.
The real question isn't "is it okay to use a tool" but "how does using a tool affect what you learn".
In the cases of both LLMs and symbolic solving calculators, I believe the answer is "highly detrimental".
Using a tool like that is opposite to mastering the skill. There's no royal road to mastery and never will be. One does not have to master all skills, of course, and may do well not mastering any (or mastering dark ones).
The manual methods are also the foundation for higher approaches involving approximation and iterative solutions. These are widely used in engineering and science.
Pressing a calculator key doesn’t give the same insight.
Same with drawing which is easy to teach, but hard to master because of the coordination between eyes and hand. You can trace a photograph, but that just bypass the whole point and you don’t exercise any of the knowledge.
Feels different, comes naturally, without conscious thought, just like we don't focus on beating our hearts.
And agree about learning by practicing a skill being best. But you and I both know the school system has worked on rote memorisation for hundreds of years at least and still is now.
Another case in point is that memorizing vocabularies and grammar, although could seem like an efficient way to learn a language, is incredibly unrewarding. I've been learning japanese from scratch, using only real speech to absorb new words, without using dictionaries and anything else much. The first feeling of reward came immediately when I learned that "arigatou" means thanks (although I terribly misheard how the word sounded, but hey, at least I heard it). Then after 6 month, when I could catch and understand some simple phrases. After 6-7 years I can understand about 80% of any given speech, which is still far, but I gotta say it was a good experience.
With LLM's giving you ready-made answers I feel like it's the same. It's not as rewarding because you haven't obtained the answer yourself. Although it did feel rewarding when I was interrogating an LLM about how CSRF works and it said I asked a great question when I asked whether it only applies to forms because it seems like fetch has a different kind of browser protection.
> I’m very glad my kid’s school has hardcore banned them.
What does that mean, I’m curious?
The schools and university I grew up in had a “single-sanction honor code” which meant if you were caught lying or cheating even once you would be expelled. And you signed the honor code at the top of every test.
My more progressive friends at other schools who didn’t have an honor code happily poo-pooed it as a repugnantly harsh old fashioned standard. But I don’t see a better way today of enforcing “don’t use AI” in schools, than it.
The school has an academic honestly policy which explicitly bans it, under “Cheating”, which includes:
“Falsifying or inventing any academic work, including the use of AI (ChatGPT, etc)”
Additionally, as mentioned, the school is taking actions to change how work is done to ensure students are actually doing their own work - such as requiring written assignments be completed during class time, or giving homework on physical paper that is to be marked up by hand and returned.
Apparently this is the first year they have been doing this, as last year they had significant problems with submitted work not being authored by students.
This is in an extremely competitive Bay Area school, so there can be a lot of pressure from parents on students to make top grades, and sometimes that has negative side effects.
I’m not sure how LLMs output is indistinguishable from Wikipedia or World Book.
Maybe? and if the question is “did the student actually write this?” (which is different than “do they understand it?” there are lots of different ways to assess if a given student understands the material…that don’t involve submitting typed text but still involve communicating clearly.
If we allow LLMs- like we allow calculators, just how poor LLMs are will become far more obvious.
This reminds me how back in my school days I was not allowed to use the internet to prepare research on some random topics (e g. history essay). It was the late 90s when the internet started to spread. Anyway teachers forced us to use offline libraries only.
Later in the university I was studying engineering. And we were forced to prepare all the technical drawings manually in the first year of study. Like literally with pencil and ruler. Even though computer graphics were widely used and we're de facto standard.
Personally I don't believe hardcore ban will help with any sort of thing. It won't stop the progress either. It's much better to help people learn how to use things instead of forcing them to deal with "old school" stuff only.
I was expecting some response like this, because schools have “banned” things in the past.
While this is superficially similar, I believe we are talking about substantially different things.
Learning (the goal) is a process. In the case of an assignment, the resulting answer / work product, while it is what is requested, is critically not the goal. However, it is what is evaluated, so many confuse it with the goal (“I want to get a good grade”)
Anything which bypasses the process makes the goal (learning) less likely to be achieved.
So, I think it is fine to use a calculator to accelerate your use of operations you have already learned and understand.
However, I don’t think you should give 3rd graders calculators that just give them the answer to a multiplication or division when they are learning how those things work in the first place.
Similarly, I think it’s fine to do research using the internet to read sources you use to create your own work.
Meanwhile, I don’t think it’s fine to do research using the internet to find a site where you can buy a paper you can submit as your own work.
Right now, LLMs can be used to bypass a great deal of process, which is why I support them not being used.
It’s possible, maybe even likely that we’ll end up with a “supervised learning by AI” approach where the assignment is replaced by “proof of process”, a record of how the student explored the topic interactively. I could see that working if done right.
You can learn a lot from LLMs though, same with, say, Wikipedia. You need curiosity. You need the desire to learn. If you do not have it, then of course you will get nowhere, LLMs or no LLMs.
“The irony is that I now know more than I ever would have before AI. But I feel slightly dumber. A bit more dull. LLMs give me finished thoughts, polished and convincing, but none of the intellectual growth that comes from developing them myself. The output from AI answers questions. It teaches me facts. But it doesn’t really help me know anything new.”
I think the thesis is that with AI there is less need and incentive to “put the work in” instead of just consuming what the AI outputs, and that in consequence we do the needed work less and atrophy.
Honestly, I doubt that LLMs are great for learning. Too often, they output plausible-sounding things that turn out to be completely wrong. I know Wikipedia can have its problems with factuality, but this is on an entirely different level. (And yes, they do this even when they're allowed to do web searches and "reason".)
The effort of verifying everything it claims may or may not outweigh the effort of other means of learning.
Realistically, putting them into trades sooner could almost be a good thing. Kids who don’t want to learn end up dragging down the class and distracting those who do.
But, these are kids… Hard to argue that adults should selectively deny education when it is their responsibility to do otherwise.
We don’t neglect the handicapped because it is inconvenient to provide them with assistance.
> if it really is laziness, and not something else, e.g. a mental health issue.
Kids optimize. When I was in high school I was fully capable of getting straight F's in a class I didn't care about and straight A's in a class I enjoyed.
Why bother learning chemistry when you could instead spend that time coding cool plugins and websites in PHP that thousands of internet strangers are using? I really did build one of the most popular phpBB plugins and knew I was gonna be a software engineer. Not that my chemistry professor cared about any of that or even understood what I'm talking about.
You can learn an incredible amount. I do quite a bit of research as a core part of my job, and LLMs are amazing at helping me find relevant research to help me explore ideas. Something like "I'm thinking of X. Does this make sense and do you know of any similar research?" I also mentor some students whose educational journey has been fundamentally changed by them.
Like any other tool, it's more a question of how they're used. For example, I've seen incredible results for students who use ChatGPT to interrogate ideas as they synthesize them. So, for example, "I'm reading this passage PASSAGE and I'm confused about phrase X. The core idea seems similar to Y, which I am familiar with. if I had to explain X, I'd put it like this ATTEMPT Can you help me understand what I'm missing?"
The results are very impressive. I'd encourage you to try it out if you haven't.
You can learn a lot, if you want to. I can ask it a question with regarding to pharmacodynamics of some medication, and I can ask more and more questions, and learn. Similarly, I could pick up a book on pharmacology, but LLMs can definitely make learning easier.
> nothing I make organically can compete with what AI already produces—or soon will.
No LLM can ever express your unique human experience (or even speak from experience), so on that axis of competition you win by default.
Regurgitating facts and the mean opinion on topics is no replacement for the thoughts of a unique human. The idea that you're competing with AI on some absolute scale of the quality of your thought is a sad way to live.
More generally, prior to LLMs, you were competing with 8 billion people alive (plus all of our notable dead). Any novel you could write probably had some precedent. Any personal story you could tell probably happened to someone else too. Any skill you wanted to develop, there probably was another person more capable of doing the same.
It was never a useful metric to begin with. If your life goal is to be #1 on the planet, the odds are not in your favor. And if you get there, it's almost certainly going to be unfulfilling. Who is the #1 Java programmer in the world? The #1 topologist? Do they get a lot of recognition and love?
Among the many ways that AI causes me existential angst, you've reminded me of another one. That is, the fact that AI pushes you towards the most average thoughts. It makes sense, given the technology. This scares me because creative thought happens at the very edge. When you get stuck on a problem, like you mentioned, you're on the cusp of something novel that will at the very least grow you as a person. The temptation to use AI could rob you of the novelty in favor what has already been done.
I feel there's a glaring counter point to this. I have never felt more compelled to try out whatever coding idea that pops into my head. I can make Claude write a poc in seconds to make the idea more concrete. And I can write into a good enough tool in a few afternoons. Before this all those ideas would just never materialize.
I mean I get the existential angst though. There's a lot of uncertainty about where all this is heading. But, and this is really a tangent, I feel that the direction of it all is in the intersection between politics, technology and human nature. I feel like "we the people" leave walkover to powerful actors if we do not use these new powerful tools in service of the people. For one - to enable new ways to coordinate and organise.
Good point. It's not that AI is "pushing us" towards anything. AI can be a muse that elevates our creativity. IF we use it that way. But do we use it that way? I think there will be some who do.
The majority of users seem to want convenience at any expense. Most are unconcerned with a loss of agency, almost enthusiastic about it if it removes the labor of thinking.
That's interesting point. But here is the thing: you are supposed to drive. Not AI god. Look at it as at an assistant whom you can interrupt, instruct, correct, ask to redo. While focusing on 'what' you can delegate it some 'how' problems.
I for one, thing directing subordinates to do something I could be doing kinda … sucks? Like, I get that’s how you have to work with LLMs, but it isn’t a fun thing to do for me.
Very strange. Either the author uses some magic AI, or I am holding it wrong. I used LLMs since a couple of years, as a nice tool.
Besides that:
I have tried using LLMs to create cartoon pictures. The first impression is “wow”; but after a bunch of pictures you see the evidently repetitive “style”.
Using LLMs to write poetry results is also quite cool at first, but after a few iterations you see the evidently repetitive “style”, which is bland and lacks depth and substance.
Using LLMs to render music is amazing at first, but after a while you can see the evidently repetitive style - for both rhymes and music.
Using NotebookLM to create podcasts at first feels amazing, about to open the gates of knowledge; but then you notice that the flow is very repetitive, and that the “hosts” don’t really show enough understanding to make it interesting. Interrupting them with questions somewhat dilutes this impression, though, so jury is out here.
Again, with generating the texts, they get a distant metallic taste that is hard to ignore after a while.
The search function is okay, but with a little bit of nudge one can influence the resulting answer by a lot, so I wary if blindly taking the “advice”, and always recheck it, and try to make two competing where I would influence LLM into taking the competing viewpoints and learn from both.
Using the AI to generate code - simple things are ok, but for non-trivial items it introduces pretty subtle bugs, which require me to ensure I understand every line. This bit is the most fun - the bug quest is actually entertaining, as it is often the same bugs humans would make.
So, I don’t see the same picture, but something close to the opposite of what the author sees.
Having an easy outlet to bounce the quick ideas off and a source of relatively unbiased feedback brought me back to the fun of writing; so literally it’s the opposite effect compared to the article author…
Maybe you are not that great at using the most current LLMs or you don't want to be? I find that increasingly to be the most likely answer, whenever somebody makes sweeping claims about the impotence of LLMs.
I get more use out of them every single day and certainly with every model release (mostly for generating absolutely not trivial code) and it's not subtle.
> Maybe you are not that great at using the most current LLMs or you don't want to be?
I’m tired of this argument. I’ll even grant you: both sides of it.
It seems as though we prepared our selves to respond to llms in this manner with people memeing, or simply recognizing, that there was a “way” to ask questions to get better results early on when ranked search broadened the appeal of search engines.
The reality is that both you and the op are talking about the opinion of the thing, but leaving out the thing itself.
You could say “git gud”, but what if you showed op what “gud” output to you was, and they recognized it as the same sort of output that they were saying was repetitive?
It’s ambiguity based on opinion.
I fear so many are taking part each other.
Perhaps linking to example prompts and outputs that can be directly discussed is the only way to give specificity to the ambiguous language.
Could totally be the case, that, as I wrote in the very first sentence, I am holding it wrong.
But I am not saying LLMs are impotent - the other week Claude happily churned me ~3500 lines of C code that allowed to implement a prototype capture facility for network packets with flexible filters and saving the contents into pcapng files. I had to fix a couple of bugs that it made, but overall it was certainly at least 5x-10x productivity improvement compared to me typing these lines of code by hand. I don’t dispute that it’s a pretty useful tool in coding, or as a thinking assistant (see the last paragraph of my comment).
What I challenged is the submissive self deprecating adoration across the entire spectrum.
Use LORAs, write better prompts. I've done a lot of diffusion and especially in 2025 it's not difficult to get out something quite good.
Repetitive style is funny, because that's what human artists do for the most part. I'm a furry, I look at a lot of art and individual styles are a well established fact.
I think the article describes a real problem in that AI discourages thought. So do other things, but what's new about AI is that it removes an incentive to try.
It used to be that if you spent your day doomscrolling instead of writing a blog post, that blog post wouldn't get written and you wouldn't get the riches and fame. But now, you can use AI to write your blog post / email / book. If you don't have an intrinsic motivation to work your brain, it's a lot easier to wing it with AI tools.
At the same time... gosh. I can't help but assume that the author is just depressed and that it has little to do with AI. The post basically says that AI made his life meaningless. But you don't have to use AI tools if they're harming you. And more broadly, life has no meaning beyond what we make of it... unless your life goal is to crank out text faster than an LLM, there's still plenty of stuff to focus on. If you genuinely think you can't possibly write anything new and interesting, then dunno, pick a workshop craft?
Humans are social creatures. The existence of a tool that can replace humans is not nearly so depressing as the realization that a loud and powerful group of people are zealous and joyful to use it to such ends. The assumption that people come first is rapidly becoming a logical fallacy in a world that seeks to optimize paperclips first.
Anyway, the pendulum will swing the other way eventually, but it's a rough ride hanging on until then.
Glad to see stimulating discussion here falling on both sides.
For me it decreases the barrier to try and test new thoughts, never have I felt more empowered to try out new avenues that in the past might have been too time consuming or expensive to dispose of.
I've been finding a lot of fulfillment in using AI to assist with things that are (for now) outside of the scope of one-shot AI. For example, when working on projects that require physical assembly or hands-on work, AI feels more like a superpower than a crutch, and it enables me to tackle projects that I wouldn't have touched otherwise. In my case, this was applied to physical building, electronics, and multimedia projects that rely on simple code that are outside of my domain of expertise.
The core takeaway for me is that if you have the desire to stretch your scope as wide as possible, you can get things done in a fun way with reduced friction, and still feel like your physical being is what made the project happen. Often this means doing something that is either multidisciplinary or outside of the scope of just being behind a computer screen, which isn't everyone's desire and that's okay, too.
Yeah I haven't found the right language for this yet, but it's something like: I'm happy and optimistic about LLMs when I'm the one doing something, and more anxious about them when I'm supporting someone else in doing something. Or: It makes me more excited to focus on ends, and less excited to focus on means.
Like, in the recent past, someone who wanted to achieve some goal with software would either need to learn a bunch of stuff about software development, or would need to hire someone like me to bring their idea to life. But now, they can get a lot further on their own, with the support of these new tools.
I think that's good, but it's also nerve-wracking from an employment perspective. But my ultimate conclusion is that I want to work closer to the ends rather than the means.
Interesting, I just replied to this post recommending the exact opposite: to focus on means vs ends.
The post laments how everything is useless when any conceivable "end state" a human can do will be inferior to what LLMs can do.
So an honest attention toward the means of how something comes about—the process of the thinking vs the polished great thought—is what life is made of.
Another comment talks about hand-made bread. People do it and enjoy it even though "making bread is a solved problem".
I saw that and thought it was an interesting dichotomy.
I think a way to square the circle is to recognize that people have different goals at different times. As a person with a family who is not independently wealthy, I care a lot about being economically productive. But I also separately care about the joy of creation.
If my goal in making a loaf of bread is economic productivity, I will be happy if I have a robot available that helps me do that quickly. But if my goal is to find joy in the act of creation, I will not use that robot because it would not achieve that goal.
I do still find joy in the act of creating software, but that was already dwindling long before chatgpt launched, and mostly what I'm doing with computers is with the goal of economic productivity.
But yeah I'll probably still create software just for the joy of it from time to time in the future, and I'm unlikely to use AIs for those projects!
But at work, I'm gonna be directing my efforts toward taking advantage of the tools available to create useful things efficiently.
ooh I like this take. We can change the framing. In the frame of one's livelihood we need to be concerned with economic productively, philosophy be damned.
> The fun has been sucked out of the process of creation because nothing I make organically can compete with what AI already produces—or soon will.
So the fun, all along, was not in the process of creation itself, but in the fact that the creator could somehow feel superior to others not being able to create? I find this to be a very unhealthy relationship to creativity.
My mixer can mix dough better than I can, but I still enjoy kneading it by hand. The incredibly good artisanal bakery down the street did not reduce my enjoyment of baking, even though I cannot compete with them in quality by any measure. Modern slip casting can make superior pottery by many different quality measures, but potters enjoy throwing it on a wheel and producing unique pieces.
But if your idea of fun is tied to the "no one else can do this but me", then you've been doing it wrong before AI existed.
> So the fun, all along, was not in the process of creation itself, but in the fact that the creator could somehow feel superior to others not being able to create? I find this to be a very unhealthy relationship to creativity.
People realize this at various points in their life, and some not at all.
In terms the author might accept, the metaphor of the stoic archer comes to mind. Focusing on the action, not the target is what relieves one of the disappointment of outcome. In this cast, the action is writing while the target is having better thoughts.
Much of our life is governed by the success at which we hit our targets, but why do that to oneself? We have a choice in how we approach the world, and setting our intentions toward action and away from targets is a subtle yet profound shift.
A clearer example might be someone who wants to make a friend. Let's imagine they're at a party and they go in with the intention of making a friend, they're setting themselves up for failure. They have relatively little control over that outcome. However, if they go in with the intention of showing up authentically - something people tend to appreciate, and something they have full control over - the changes of them succeeding increase dramatically.
Choosing one's goals - primarily grounded in action - is an under-appreciated perspective.
>> Focusing on the action, not the target is what relieves one of the disappointment of outcome.
The primary reason is not that it relieves us of the disappointment, but that worrying about the outcome increases our anxiety and impacts our action which hampers the outcome.
Let's frame it more generously: The reward is based on being able to contribute something novel to the world - not because nobody else can but because it's another contribution to the world's knowledge.
If the core idea that was intended to be broadcasted to the world was a "contribution", and LLM simply expanded on it, then I would view LLMs simply a component in that broadcasting operation (just as the internet infrastructure would be), and the author's contribution would still be intact, and so should his enjoyment.
But his argument does not align with that. His argument is that he enjoys the act of writing itself. If he views his act of writing (regardless of the idea being transmitted) as his "contribution to world's knowledge", then I have to say I disagree - I don't think his writing is particularly interesting in and of itself. His ideas might be interesting (even if I disagree), but he obviously doesn't find the formation of ideas enjoyable enough.
If that's the source of author's existential crisis, they may possibly find it interesting to meditate on the idea that there's no thinker behind the thought, and the impermanence of "self".
Even if they don't buy all the way into the whole hard incompatiblism thing, the idea is that they may find some value in the process.
It sounds as if the reward is primarily monetary in this case.
As some others have commented, you can find rewards that aren't monetary to motivate you, and you can find ways to make your work so unique that people are willing to pay for it.
Technology forces us to use the creative process to more creatively monetize our work.
If one merely presses a button (the same button, not choosing what button to push based on context), I don’t see what it is that one has contributed? One of those tippy bird toys can press a button.
It sounds to me like you are maybe agreeing with me but thought that I was expressing the opposite of what I did, and so are phrasing it as if it were disagreement?
Or maybe you are just agreeing, and did understand that my point was that I don’t think pressing a button is a contribution.
If you are disagreeing with my comment, can you explain how this is disagreeing?
The primary motivation should be wisdom. No one can become wise for you. You don't become any wiser yourself that way. And a machine isn't even capable of being wise.
So while AI might remove the need for human beings to engage in certain practical activities, it cannot eliminate the theoretical, because by definition, theory is done for its own sake, to benefit the person theorizing by leading them to understanding something about the world. AI can perhaps find a beneficial place here in the way books or teachers do, as guides. But in all these cases, you absolutely need to engage with the subject matter yourself to profit from it.
I think the article is getting at the fact that in a post-AGI world, human skill is a depreciating asset. This is terrifying because we exchange our physical and mental labor for money. Consider this: why would a company hire me if - with enough GPU and capital - they can copy-and-paste 1,000 of AI agents much smarter to do the work?
With AGI, Knowledge workers will be worth less until they are worthless.
While I'm genuinely excited about the scientific progress AGI will bring (e.g. curing all diseases), I really hope there's a place for me in the post-AGI world. Otherwise, like the potters and bakers who can't compete in the market with cold-hard industrial machines, I'll be selling my python code base on Etsy.
That seems like a very narrow perspective. For one, it is neither clear we will end up with AGI at all—we could have reached or soon reach a plateau with the possibilities of the LLM technology—or whether it’ll work like what you’re describing; the energy requirements might not be feasible, for example, or usage is so expensive it’s just not worth applying it to every mundane task under the sun, like writing CRUD apps in Python. We know how to build flying cars, technically, but it’s just not economically sustainable to use them. And finally, you never know what niches are going to be freed up or created by the ominous AGI machines appearing on the stage.
> With AGI, Knowledge workers will be worth less until they are worthless.
"Knowledge workers" being in charge is a recent idea that is, perhaps, reaching end of life. Up until WWII or so, society had more smart people than it had roles for them. For most of history, being strong and healthy, with a good voice and a strong personality, counted for more than being smart. To a considerable extent, it still does.
In the 1950s, C.P. Snow's "Two Cultures" became famous for pointing out that the smart people were on the way up.[1] They hadn't won yet; that was about two decades ahead. The triumph of the nerds took until the early 1990s.[2] The ultimate victory was, perhaps, the collapse of the Soviet Union in 1991. That was the last major power run by goons. That's celebrated in The End of History and the Last Man (1992).[3] Everything was going to be run by technocrats and experts from now on.
But it didn't last. Government by goons is back. Don't need to elaborate on that.
The glut of smart people will continue to grow. Over half of Americans with college educations work in jobs that don't require a college education. AI will accelerate that process. It doesn't require AI superintelligence to return smart people to the rabble. Just AI somewhat above the human average.
> With AGI, Knowledge workers will be worth less until they are worthless.
The article you've linked fundamentally relies on the assumption that "the tasks can be done better/faster/cheaper by AIs". (Plus, of course, the idea that AGI would be achieved, but without this one the whole discussion would be pointless as it would lack the subject, so I'm totally fine with this one.)
Nothing about AGI (as in "a machine that can produce intelligent thoughts on a given matter") says that human and non-human knowledge workers would have some obvious leverage over each other. Just like my coworkers' existence doesn't hurt mine, a non-human intelligence is of no inherent threat. Not by definition.
Non-intelligent industrial robotics is well-researched and generally available, yet we have plenty of sweatshops because they turn out to be cheaper than robot factories. Not fun, not great, I'm no fond of this, but I'm merely taking it as a fact, as it is how it currently is. So I really wouldn't dare to unquestionably assume that "cheaper" would be true.
And then "better" isn't obvious either. Intelligence is intelligence, it can think, it can make guesses, it can make logical conclusions, and it can make mistakes too - but we've yet to see even the tiniest hints of "higher levels" of it, something that would make humans out of the league of thinking machines if we're ranking on some "quality" of thinking.
I can only buy "faster" - and even that requires an assumption that we ignore any transhumanist ideas. But, surely, "faster" alone doesn't cut it?
This is only terrifying because of how we’ve structured society. There’s a version of the trajectory we’re on that leads to a post-scarcity society. I’m not sure we can pull that off as a species, but even if we can, it’s going to be a bumpy road.
the barrier to that version of the trajectory is that "we" haven't structured society. what structure exists, exists as a result of capital extracting as much wealth from labor as labor will allow (often by dividing class interests among labor).
agreed on the bumpy road - i don't see how we'll reach a post-scarcity society unless there is an intentional restructuring (which, many people think, would require a pretty violent paradigm shift).
I think we think of it as 'extracting' because people are coerced into jobs that they hate. I think AI can help us exit the paradigm of working as extracting. Basically, passion economy (ai handles marketing, internet distribution). Allows you to focus on what you actually like, but it can actually make money this time.
to be trite, we've been promised a world where AI will help to alleviate the menial necessities so that we're free to pursue our passions. in reality, what we're getting is AI that replaces the human component of passion projects (art, music, engineering as craft), leaving the "actually-hard-to-replace" "low-class" roles (cashiering, trash collection, housekeeping, farming, etc) to humans who generally have few other economic options.
without a dramatic shift in wealth distribution (no less than the elimination of private wealth and the profit motive), we can't have a post-scarcity society. capitalism depends entirely upon scarcity, artificial or not.
Yeah, I think you're onto something. I'm not sure the performative motivation is necessarily bad, but def different
Maybe AI is like Covid, where it will reveal that there were subtle differences in the underlying humans all along, but we just never realized it until something shattered the ability for ambiguity to persist.
I'm inclined to so that this is a destabilising thing, regardless of my thoughts on the "right" way to think about creativity. Multiple ways could coexist before, and now one way no longer "works".
I think the point is that part of the value of a work of art to this point is the effort or lack of effort involved in its creation. Evidence of effort has traditionally been a sign of the quality of thought put into a work as a product of time spent in its creation. LLMs short circuit this instinct in evaluation making some think works generated by AI are better than they are while simultaneously making those who create work see it as devaluation of work (which is the demotivator here).
I'm curious why so any people see creators and intellectuals as competitive people trying to prove they're better than someone else. This isn't why people are driven to seek knowledge or create Art. I'm sure everyone has their reasons for this, but it feels like insecurity from the outside.
Looking at debates about AI and Art outside of IP often brings out a lot of misunderstandings about what makes good Art and why Art is a thing man has been compelled to make since the beginning of the species. It takes a lifetime to select techniques and thought patterns that define a unique and authentic voice. A lifetime of working hard on creating things adds up to that voice. When you start to believe that work is in vain because the audience doesn't know the difference it certainly doesn't make it feel rewarding to do.
Yeah, there’s something this person needs to embrace about the process rather than being some kind of modern John Henry, comparing themselves to a machine. There’s still value in the things a person creates despite what AI can derive from its training model of Reddit comments. Find peace in the process of making and you’ll continue to love it.
We need to start taking a leaf of advice from spiritual knowledge that "You are not the doer." You were never the doer. The doing happened on its own. You were merely a vessel, an instrument. A Witness. Observe your inner mechanisms of mind, and you will quickly come to this realisation.
Self-actualisation should be about doing the things that only you can. Not better than anyone else, but more like, the specific things that ony you, with the same of your experience, expertise, values and constraints can do.
"The fun has been sucked out of the process of preparing food because nothing I make organically can compete with what restaurants/supermarkets already produces—or soon will."
Knowing that what I do anyone can do, no matter how well I'll do it, is discouraging. Because then, what is my purpose? What can I say that I'm good at?
That's a deeper question that only you can answer. I can only say that your thinking based on how you phrased it doesn't really lead to happiness in general
It's interesting that you name those examples, because Lee Sedol, the all-time great Go player, retired shortly after losing to Alpha Go, saying:
"Even if I become the number one, there is an entity that cannot be defeated... losing to AI, in a sense, meant my entire world was collapsing... I could no longer enjoy the game. So I retired." [1, 2]
So for some, yes. It is of course also true that many people derive self-worth and fulfillment from contributing positively to the world, and AI automating the productive work in which they specialize can undermine that.
I am in no way disputing that some people would feel that way because of AI, just as some performing classical musicians felt that way in the advent of the audio recorder.
What I am saying is that (1) I regard this as an unhealthy relationship to creativity (and I accept that this is subjective), and (2) that most people do not feel that way, as can be confirmed by the fact that chess, go, and live music performances are all still very much practiced.
I used to feel the same way about AI, but my perspective has completely changed.
The key is to treat AI as a tool, not as a magic wand that will do everything for you.
Even if AI could handle every task, leaning on it that way would mean surrendering control of your own life—and that’s never healthy.
What works for me is keeping responsibility for the big picture—what I want to achieve and how all the pieces fit together—while using AI for well-defined tasks. That way I stay fully in control, and it’s a lot more fun this way too.
I find LLMs fail and fail hard at what might be the most imaginative form of writing: poetry.
Before sending this comment I pecked around the net for examples of gleaming LLM verse.
A few articles claimed human readers preferred AI-brewed poetry to the human stuff. I checked the examples. Clearly most of the people surveyed were underliterate -- the human poems were excellent and the AI poems just creepily bad and simplistic -- so the articles turned into sad and unwitting testament about the state of our culture.
Maybe if you expertly LLM prompt your way to a highly abstract poem, over several iterations you might land something that has some actual feel to it, but even then that might owe more to your prompting talent than the LLM's skill. You could do the same with dice and a dictionary. (Is prompting is essentially editing?)
Please, show me otherwise. If faced with strong contrary evidence, I will be forced to change my mind.
Even if what you said was true, it will be false within months or years.
What then?
This is the whole premise of the article. Just extrapolate and imagine that it can think and write poetry better than you (it will, and likely soon), what then?
OP said something similar about writing blog posts when he found himself doing twitter a lot, back in 2013. So whatever he did to cope with tweeting, he can do the same with LLMs, since it seems like he's been writing a lot of blog posts since.
> I’ve been thinking about this damn essay for about a year, but I haven’t written it because Twitter is so much easier than writing, and I have been enormously tempted to just tweet it, so instead of not writing anything, I’m just going to write about what I would have written if Twitter didn’t destroy my desire to write by making things so easy to share.
and
> But here’s the worst thing about Twitter, and the thing that may have permanently destroyed my mind: I find myself walking down the street, and every fucking thing I think about, I also think, “How could I fit that into a tweet that lots of people would favorite or retweet?”
History rhymes. It’s funny that my problem back then was jamming fully formed thoughts into tweets, and now my problem is developing seeds of ideas into fully formed thoughts.
Have you read the book if I told you what it was about? Knowing what Crime and Punishment is about is different than reading it yourself. There’s no royal road and no shortcut to knowledge.
Read How To Solve It by Polya. The frustrations, dead ends, and trials are all a part of the process. It’s how we convince ourselves of truth and reinforce our understanding. It develops our curiosity and creativity.
I've noticed something like this as well. A suggestion is to write/build for no one but yourself. Really no one but yourself.
Some of my best writing came during the time that I didn't try to publicize the content. I didn't even put my name on it. But doing that and staying interested enough to spend the hours to think and write and build takes a strange discipline. Easy for me to say as I don't know that I've had it myself.
Another way to think about it: Does AI turn you into Garry Kasparov (who kept playing chess as AI beat him) or Lee Sedol (who, at least for now, has retired from Go)?
If there's no way through this time, I'll just have to occasionally smooth out the crinkled digital copies of my past thoughts and sigh wistfully. But I don't think it's the end.
Yeah there is the personal passion and then the points/likes driven which sucks the joy out
I experienced this when I was younger with my rc planes, I joined some forum and I felt like everything I did had to be posted/liked to have value. I'd post designs/fantasy and get the likes then lose interest/not actually do it after I got the ego bump
I think that's why some writers refuse to talk about their work in progress. If they do, it saps the life out of it. Your ego bump example kind of fits into that.
A good analogy is lifting. We lift to build strength, not because we need that extra strength to lift things in real life. There are plenty machinery to do that for us. But we do so for the sense of accomplishment of hitting our goals when we least expect it, seeing physical changes, and the feeling that we are getting healthier rather than chasing the utility benefits. If we perceive lifting as an utility, we realize its futile and meaningless. Instead, if we see it as a routine with positive externalities sprinkled on top, we feel a lot less pressured to do so.
As kelseyfrog commented already, the key is to focus on the action, not the target. Lifting is not just about hitting a number or getting bigger muscles (though they are great extrinsic motivators), its more of an action that we derive growth from. I have internalized the act of working out that those targets are baked into the unconscious. I don't overthink when I'm lifting. My unconscious take the lead, and I just follow. I enjoy seeing the results show up unexpectedly. It lets me grow without feeling the constant pressure of my conscious mind.
The lifting analogy can be applied to writing and other effortful pursuits. We write for the pleasure of reconciling internal conflicts and restoring order to our chaotic mind. Writing is the lifting of our mind. If we do it for comparison, then there's no point in lifting, or writing, or many other things we do after all our technological breakthroughs. Doing what we do is a means to an end, not the other way around.
What a coincidence! I think we both commented noting the phenomenon of abundance and the repercussions for us humans at the individual level. Especially from a fulfillment and autonomy point of view.
My thoughts are that it's key that humans know they will still get credit for their contributions.
E.g. imagine it was the case that you could write a blog post, with some insight, in some niche field – but you know that traffic isn't going to get directed to your site. Instead, an LLM will ingest it, and use the material when people ask about the topic, without giving credit. If you know that will happen, it's not a good incentive to write the post in the first place. You might think, "what's the point".
Related to this topic - computers have been superhuman at chess for 2 decades; yet good chess humans still get credit, recognition, and I would guess, satisfaction, from achieving the level they get to. Although, obviously the LLM situation is on a whole other level.
I guess the main (valid) concern is that LLMs get so good at thought that humans just don't come up with ideas as good as them... And can't execute their ideas as well as them... And then what... (Although that doesn't seem to be the case currently.)
> I guess the main (valid) concern is that LLMs get so good at thought
I don't think that's a valid concern, because LLMs can't think. They are generating tokens one at a time. They're calculating the most likely token to appear based on the arrangements of tokens that were seen in their training data. There is no thinking, there is no reasoning. If they they seem like they're doing these things, it's because they are producing text that is based on unknown humans who actually did these things once.
> LLMs can't think. They are generating tokens one at a time
Huh? They are generating tokens one at a time - sure that's true. But who's shown that predicting tokens one at a time precludes thinking?
It's been shown that the models plan ahead, i.e. think more than just one token forward. [1]
How do you explain the world models that have been detected in LLMs? E.g. OthelloGPT [2] is just given sequences of games to train on, but it has been shown that the model learns to have an internal representation of the game. Same with ChessGPT [3].
For tasks like this, (and with words), real thought is required to predict the next token well; e.g. if you don't understand chess to the level of Magnus Carlsen, how are you going to predict Magnus Carlsen's next move...
...You wouldn't be able to, even just from looking at his previous games; you'd have to actually understand chess, and think about what would be a good move, (and in his style).
Yes, let's cite the most biased possible source: the company that's selling you the thing, which is banking on a runway funded on keeping the hype train going as long as possible...
I keep going back and forth on this feeling, but lately I find myself thinking "F it, I'm going to do what I'm going to do that interests me".
Today I'm working on doing the unthinkable in an AI-world: putting together a video course that teaches developers how to use Phlex components in Rails projects and selling it for a few hundred bucks.
One way of thinking about AI is that it puts so much new information in front of people that they're going to need help from people known to have experience to navigate it all and curate it. Maybe that will become more valuable?
Who knows. That's the worst part at this moment in time—nobody really knows the depths or limits of it all. We'll see breakthroughs in some areas, and others not.
I just wrote a paper a few days ago arguing that "manual thinking" is going to become a rare and valuable skill in the future. When you look around you, everyone is finding ways to be better using AI, and they're all finding amazing successes – but we're also unsure about the downsides. I hedge that my advantage in ten years will be that I chose not to do what everyone else did. I might regret it, we will see.
If AI is going to be as economically efficient as promised, there is going to be no way to avoid using it altogether. So the trick will be to keep your thinking skills functional, while still using AI for speedup. Like focus in the age of Internet is a rare skill, but not using Internet is not an option either.
Not all processes are the same, though. I strongly suspect any efficiency improvements will come in processes that didn't require much "thinking" to begin with. I use it daily, but mostly as a way to essentially type faster—I can read much faster than I can type, so I mostly validate and correct the autocomplete. All of my efforts to get it to produce trustworthy output beyond this seem to trail behind the efficiency of just searching the internet.
Granted, I'm blessed to not have much busywork; if I need to produce corporate docs or listicles AI would be a massive boon. But I also suspect AI will be used to digest these things back into small bullet points.
I’m so so glad at the end it said “Written entirely by a human” because all the way through I was thinking - absolutely no way does AI come up with great ideas or insights and it definitely would not write this article- it holds together and flows too well (if this turns out to be the joke I’ll admit we’re all now fucked)
Having said that I am very worried about kids growing up with AI and it stunting their critical thinking before it begins - but as of right this moment AI is extremely sub par at genuinely good ideas or writing.
It’s an amazing and useful tool I use all the time though and would struggle to be without.
> But now, when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea, I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought.
I can't relate to this at all. The reason I write, debate, or think at all is to find out what I believe and discover my voice. Having an LLM write an essay based on one of my thoughts is about as "me" as reading a thinkpiece that's tangentially related to something I care about. I write because I want to get my thoughts out onto the page, in my voice.
I find LLMs useful for a lot of things, but using an LLM to shortcut personal writing is antithetical to what I see as the purpose of personal writing.
> But it doesn’t really help me know anything new.
Pursue that, since that's what LLMs haven't been helping you with. LLMs haven't really generated new knowledge, though there are hints of it--they have to be directed. There are two or three times when I felt the LLM output was really insightful without being directed.
--
At least for now, I find the stuff I have a lot of domain expertise in, the LLM's output just isn't quite up to snuff. I do a lot of work trying to get it to generate the right things with the right taste, and even using LLMs to generate prompts to feed into other LLMs to write code, and it's just not quite right. Their work just seems...junior.
But for the stuff that I don't really have expertise in, I'm less discerning of the exact output. Even if it is junior, I'm learning from the synthesis of the topic. Since it's usually a means to an end to support the work that I do have expertise in, I don't mind that I didn't do that work.
For me thinking is kinda like: First draft thought > thinking > 2nd draft thought > thoughtfulness > thought. I suspect a lot of people just need to adjust the frame of their thinking style, LLMs are useful for getting to a more "final thought" quickly, but he says "I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought." - Indeed, to my mind anyway: a complete draft thought. From "when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea" to quality thought typically needs some meaningful time/walking around to gestate into ideas and things worth sharing anyway. LLMs for me are mostly either a) draft thoughts or b) pure work related knowledge transfer - and they work great for those things.
A year ago, I used to journal almost every day. Writing was how I organized my thoughts, found direction, and occasionally uncovered ideas that even surprised me.
But gradually, I started relying on GPT to help me write. At first, it felt efficient. But over time, I noticed I was thinking less. The more I expressed myself through AI, the more my own desire to express started to fade.
Now I’m trying to return to my own thinking process again，but it’s much harder than I expected.
We say that our food sucks. Yet, our elite athletes would crush Hercules or other God-like figures from our mythology. At the same time, we suffer from obesity.
The answer to the paradox comes from abundance. I don’t know why it happens, but I’ve noticed it on food, information retrieval, and now cognitive capacity.
Think about what happened to our capacity to search information on books. Librarians are masters of organizing chaos and filtering through information. But most of us don’t know a tiny fraction of their knowledge because we grew up with Google.
My hope is that, just like eating healthy is not as pleasurable as processed sugars but it’s necessary for a fit life, we will need to go through the process of thinking healthy even though is not as pleasurable as tinkering with LLM prompts.
This doesn’t mean escapism however. Modern athletes take advantage of the industrial world too, but they’re smart about it. I don’t think thinking will be much different.
I don't agree directly with this, but a variant of it does bother me: will the auto-regressive nature of AI eventually limit the novelty of the ideas humanity can come up with?
So many breakthroughs come from people who work either in ignorance or defiance of existing established ideas. Almost by definition, in fact - to a large extent, everything obvious has already been thought. So to some extent, all the real progress happens in places that violate norms and pre-established logic.
So what's going to happen now if every idea has to run the gauntlet of a supremely intelligent but fully regressive AI? It feels like we could lose a tremendous amount of the potential for original thought from humanity. A good counter argument would be that this has already happened and we're still making progress. I just wonder however if it's a question of degree and that degree matters.
Early on I wondered if things like this might happen.
But for me what has actually happened is almost the opposite, I seem to be experiencing more of a "tree of thoughts" with the ability to now perform rapid experimentation down a given branch, disposing branches that don't bare fruit.
I feel more liberated to explore creative thoughts than ever. I spend less time on the toil needed both bootstrap my thought process and to fending off cognitive dissonance when the feeling of sunk cost creeps in after going too deep down the wrong path.
I wonder if it's just perhaps a difference in how people explore and "complete" their thoughts? Or am I kidding myself and actually getting dumber and just fail to see it?
Disposing branches that the LLM convinces you won’t bear fruit.
The Next Big Thing doesn’t exist yet. At least not in any LLM models. If someone thinks of the NBT, asks LLM about it, and LLM’s model says “impossible”, this could squander innovation.
I appreciate your thoughts and definitely share some of your sentiments. But don’t underestimate the value and importance of continuing to be a creative.
Something I’ve been thinking about lately is the idea of creative stagnation due to AI. If AI’s creativity relies entirely on training from existing writing, anrchitecture, art, music, movies, etc., then future AI might end up being trained only on derivatives of today’s work. If we stop generating original ideas or developing new styles of art, music, etc., how long before society gets stuck endlessly recycling the same sounds, concepts, and designs?
Something I'm on the fence about, but just trying to figure out from observation, is whether the AI can decide what is worthwhile. It seems like most of the successes of AI that I've seen are cases where someone is tasked with writing something that's not worth reading.
Granted, that happened before AI. The vast majority of text in my in-box, I never read. I developed heuristics for deciding what to ignore. "Stuff that looks like it was probably generated" will probably be a new heuristic. It's subjective for now. One clue is if it seems more literate than the person who wrote it.
Stuff that's written for school falls into that category. It existed for some reason other than being read, such as the hope that the activity of writing conferred some educational benefit. That was a heuristic too -- a rule of thumb for how to teach, that has been broken by AI.
Sure, AI can be used to teach a job skill, which is writing text that's not worth reading. Who wants to be the one who looks the kids in the eye and explain this to them?
On the other hand, I do use Copilot now, where I would have used Stackoverflow in the past.
I recently finished my PhD studies in social sciences. Even though it did not lead me to career improvements as I initially expected, I am happy I had the opportunity to undertake an academic endeavor before LLMs became cheap and ubiquitous.
I bring up my studies because what the author is talking about strikes me as not having been ambitious enough in his thinking. If you prompt current LLMs with your idea and find the generated arguments and reasoning satisfactory, then you aren't really being rigorous or you're not having big enough ideas.
I say this confidently because my studies showed me not only the methods in finding and contrasting evidence around any given issue, but also how much more there is to learn about the universe. So, if you're being rigorous enough to look at implications of your theories, finding datapoints that speak to your conclusions and find that your question has been answered, then your idea is too small for what the state of knowledge is in 2025.
This feels off, as if thinking were like chess and the game is now solved and over.
What if you could turn your attention to much bigger things than you ever imagined before? What if you could use this new superpower to think more not less, to find ways to amplify your will and contribute to fields that were previously out of your reach?
I fully agree. I for one am excited about a future in which we can take on bigger challenges. With (good) LLMs, we won't need to spend as much time thinking about "how" to get things done, and can spend more time lucidly deciding "what" we want done.
> The fun has been sucked out of the process of creation because nothing I make organically can compete with what AI already produces—or soon will.
I find immense joy and satisfaction when I write poetry. It's like crafting a puzzle made of words and emotions. While I do enjoy the output, if there is any goal it is to tap into and be absorbed by the process itself.
Meanwhile, code? At least for me, and to speak nothing of those that approach the craft differently, it is (almost) nothing but a means to an ends! I do enjoy the little projects I work on. Hmm, maybe for me software is about adding another tool to the belt that will help with the ongoing journey. Who knows. It definitely feels very different to outsource coding than to outsource my artistic endeavors.
One thing that I know won't go away are the small pockets of poetry readings, singer-songwriters, and other artistic approaches that are decidedly more personal in both creation and audience. There are engaged audiences for art and there are passive consumers. I don't think this changes much with AI.
Man people are using LLMs much differently from myself. I use it as an answer engine and that’s about where I stop using it. It’s a great tool for research and quick answers but I haven’t found it great for much else.
That's exactly what I do as well. Sometimes I stumble upon a question that I know I won't find an answer for just by googling, so it's easier to formulate it fully to an AI. In some cases it's like a more convenient search engine, where I'm pretty sure I will get an answer to my question without needing to trick the engine with a good query. Which is rather tedious more often than not.
in life and with people I think about a car, knowing when to go and when to stop
some people are all go and no stop. we call them impulsive.
some people may LOOK all go but have wisdom (or luck) behind the scenes putting the brakes on. Example: Tom Cruise does his own stunts, and must have a good sense for how to make it safe enough
What this author touches on is a chief concern with AI. In the name of removing life friction, it removes your brakes. Anything you want to do, just ask AI!
But should you?
I was out the other day, pondering what the word "respect" really means. It's more elusive than simply liking someone. Several times I was tempted to just google it or ask AI, but then how would I develop my own point of view? This kind of thing feels important to have your own point of view on. And it's that we're losing - the things we should think about in this life, we'll be tempted to not anymore. And come out worse for it.
AI has been really interesting. I definitely feel its benefits when I want to cram some learning in. On the other hand, it has introduced a new and novel issue for me that feels an awful lot like imposter syndrome. This sounded like the same issue.
Perhaps we will now suffer from AI-mposter syndrome as well. Ain't life wonderful?
Familiar scenario. One thing that would help is to use AI as someone you are having a conversation with.
(most AIs need to be explicitly told before you start this). You tell them not to agree with you, to ask more questions instead of providing the answers, to offer justifications and background as to why those questions are being asked. This helps you refine your ideas more, understand the blind spots, and explore different perspectives. Yes, an LLM can refine the idea for you, especially if something like that is already explored. It can also be the brainstorming accessory who helps you to think harder. Come up with new ideas. The key is to be intentional about which way you want it. I once made Claude roleplay as a busy exec who would not be interested in my offering until i refined it 7 times (and it kept offering reasons as to why an AI exec would or would not read it).
You are in a maze of twisty little passages that are not the same. You have to figure out which ones are not. Try this. The world is infinitely complex. AI is very good at dealing with the things it knows and can know. It can write more accurately than I can, spell better. It just takes stuff I do and learns from my mistakes. I'm good with that. But here is something to ask AI:
Name three things you cannot think about because of the language you use?
Or "why do people cook curds when making cheese."
Or how about this:
"Name three things you cannot think about because of the language you use?"
AI is at least to some extent a artificial regurgitarian. It can tell you about things that have been thought. Cool. But here is a question for you. Are there things that you can think about that have not been thought about before?
The reason people cook curds is because the goal of cheese making was to preserve milk, not to make cheese.
What happens to conversation in this case? When groups of people are trained to use LLMs as a crutch for thinking, what happens when people get together and need to discuss something. I feel like the averageness of the thinking would get compounded so that the conversation as a whole becomes nothing but a staging ground for a prompt. Would an hour long conversation about the intricacies of a system architecture become a ten minute chatter of what prompts people would want to ask? Does everyone then channel their LLM to the rest of the group? In the end, would the most probable response to which all LLMs being used agree with be the result of the conversation?
I want to see people who used LLMs all their conscious life enter the workforce. It's going to be amazing. I mean soon we'll see people who are essentially raised by LLMs.
I wonder if there is any like the cs50.ai for other fields, which acts as a guide by not instantly giving any answer. The one I experiment to have like this experience is by using custom instructions (most of LLMs have this in the settings) wherein I set it to Socratic mode so the LLM will spit out questions to stir ideas in my head.
I feel similar, except not because of AI but the internet. Almost all my knowledge and opinions have already been explained by other people who put in more effort than I could. Anything I'd create, art or computation, high-quality similar things already exist. Even this comment echoes similar writing.
Almost. Similar. I still make things because sometimes what I find online (and what I can generate from AI) isn't "good enough" and I think I can do better. Even when there's something similar that I can reuse, I still make things to develop my skills for further occasions when there isn't.
For example, somebody always needs a slightly different JavaScript front-end or CRM, even though there must be hundreds (thousands? tens-of-thousands?) by now. There are many programming languages, UI libraries, operating systems, etc. and some have no real advantages, but many do and consequently have a small but dedicated user group. As a PhD student, I learn a lot about my field only to make a small contribution*, but chains of small contributions lead to breakthroughs.
The outlook on creative works is even more optimistic, because there will probably never be enough due to desensitization. People watch new movies and listen to new songs not because they're better but because they're different. AI is especially bad at creative writing and artwork, probably because it fundamentally generates "average"; when AI art is good, it's because the human author gave it a creative prompt, and when AI art is really good, it's because the human author manually edited it post-generation. (I also suspect that when AI gets creative, people will become even more creative to compensate, like how I suspect today we have more movies that defy tropes and more video games with unique mechanics; but there's probably a limit, because something can only be so creative before it's random and/or uninteresting.)
Maybe one day AI can automate production-quality software development, PhD-level research, and human-level creativity. But IME today's (at least publicly-facing) models really lack these abilities. I don't worry about when AI is powerful enough to produce high-quality outputs (without specific high-quality prompts), because assuming it doesn't lead to an apocalypse or dystopia, I believe the advantages are so great, the loss of human uniqueness won't matter anymore.
This is only a problem if one is writing/thinking on things which have already been written about without creating a new/novel approach in one's writing.
An AI is _not_ going to get awarded a PhD, since by definition, such are earned by extending the boundaries of human knowledge:
I agree, frustration steps in earlier than before because AIs tell you very eagerly that unique thought is already part of its training data. Sometimes I wish one could put an AI on drugs and filter out some hallucinations that'll become main stream next week.
> instantly get a fully reasoned, researched, and completed thought
That's not my experience though. I tried several models, but usually get a confident half-baked hallucination, and tweaking my prompt takes more time than finding the information myself.
If anything, with the right tooling LLMs should improve the quality of our thinking. For example, how much better would your thinking be if you could ask the LLM to reliably figure out all the 2nd and 3rd effects of your ideas, or to identify hidden assumptions.
The article mentions that spell and grammar checking AI was used to help form the article. I think there is a spectrum here, with spell and grammar checking on one end, and the fears the article mentions on the other end (AI replacing our necessity to think). If we had a dial to manually adjust what AI works on, this may help solve the problems mentioned here. The issue is that all the AI companies are trying too hard to achieve AGI, and thus making the interfaces general and without controls like this.
I am envious of folks who get to use AI on daily basis to do productive tasks.
My use is very limited to asking it to summarize things to asking to explain LC problems.
If you are in the camp of "ends justify the means" then it makes sense why all this is scary and nihilistic. What's the point doing anything if the outcome is infinitely better done in some other way by some other thing/being/agent?
If the "means justify the ends" then doing anything is its own reason.
And in the _end_, the cards will land where they may. ends-justify-means is really logical and alluring, until I realize why am I optimizing for END?
I understand the depression. I'm a developer (professional) and I make music (ambitious hobby). Both arts heavily in a transformational process.
I'd like to challenge a few things. I rarely have a moment where an LLM provides me a creative spark. It's more that I don't forget anything from the mediocre galaxy of thoughts.
See AI as a tool.
A tool that helps you to automate repetitive cognitive work.
I don't think LLMs replace thinking, but rather elevate it. When I use an LLM, I’m still doing the intellectual work, but I’m freed from the mechanics of writing. It’s similar to programming in C instead of assembly: I’m operating at a higher level of abstraction, focusing more on what I want to say than how to say it.
You can also use a microwave to bloom spices, or thaw frozen veggies from your home garden, or steam things, or thicken sauces, …
The microwave is a tool with certain useful aspects and certain limitations. It is also a tool which can lead to faster outcomes of things you need to do if the tool didn’t exist. At what point should a chef draw the line in the tools they use? Should I forgo microwaves? What about pressure cookers? Ovens? Surely knives are fair game? Maybe I should knap flint and butcher meat with it and cook over an open campfire — then truly no one can claim I am not a chef.
The writing is the work, though.
The words on paper (or wherever) are the end product,
but they are not the point.
See chapter 5 of Ahrens, Sönke. 2017. How to take smart notes: one simple technique to boost writing, learning and thinking - for students, academics and nonfiction book writers.,
for advice on how writing the ideas in your own words is the primary task and improves not only writing,
but all intellectual skills,
including reading and thinking.
C. Wright Mills in his 1952 essay, "“On Intellectual Craftsmanship" says much the same thing.
Stating the ideas in your own words is thinking.
What we need is mental gyms. In modern society there is no need for physical labor but we go to gyms just to keep ourselves healthy.
Similarly in future we will not need mental "labor" but to keep ourselves sharp we need engage in mental exercises. I am thinking of picking up chess again just for this reason.
“There are no shortcuts to knowledge, especially knowledge gained from personal experience. Following conventional wisdom and relying on shortcuts can be worse than knowing nothing at all.”
― Ben Horowitz
AI is far better in style than in substance. That is, an AI-written solution will have all the trappings of expertise and deep thought, but frankly is usually at best mediocre. It's sort of like when you hear someone make a very eloquent point and your instinct is to think "wow, that's the final word on the subject, then!" ... and then someone who actually understands the subject points out the flaw in the elegant argument, and it falls down like a house of cards. So, at least for now, don't be fooled! Develop expertise, be the person who really understands stuff.
Think Bigger. As the LLM's capability expands use it to push yourself outside your comfort zone every now and then. I have done some great fun projects recently I would have never thought of tackling before
> All of my original thoughts feel like early drafts of better, more complete thoughts that simply haven’t yet formed inside an LLM
I would like access to whatever LLM the author is using, because I cannot relate to this at all. Nearly all LLM output I've ever generated has been average, middle-of-the-road predictable slop. Maybe back in the GPT-3 days before all LLMs were RLHF'd to death, they could sometimes come up with novel (to me) ideas, but nowadays often I don't even bother actually sending the prompt I've written, because I have a rough idea of what the output is going to be, and that's enough to hop to the next idea.
You are in a maze of twisty little passages that are not the same. You have to figure out which ones are not.
Try this. The world is infinitely complex. AI is very good at dealing with the things it knows and can know. It can write more accurately than I can, spell better. It just takes stuff I do and learns from my mistakes. I'm good with that. But here is something to ask AI:
"Name three things you cannot think about because of the language you use?"
Or "why do people cook curds when making cheese."
Or how about this:
"Name three things you cannot think about because of the language you use?"
AI is at least to some degree an artificial regurgitarian. It can tell you about things that have been thought. Cool. But here is a question for you. Are there things that you can think about that have not been thought about before or that have been thought about incorrectly?
The reason people cook curds is because the goal of cheese making was (in the past) to preserve milk, not to make cheese.
I admittedly don't use AI as much as many others here, but I have noticed that whenever I take the time to write a hopefully-inciteful response in a place like Reddit, I immediately get people trying to dunk on me by accusing me of being an AI bot.
It makes me not want to participate in those communities (although to be honest, spending less time commenting online would probably be good for me).
It'a vicious cycle. As AI gets better at writing, more people will rely on it to write for them, and as more AI content gains prominence, more people will tend to ape its style even when they do write something for themselves.
True. Now compare that to the creation of the universe and feel your insignificance of never being able to match it's creation in any form. Try to create the code that creates blades of grass. Good luck creating life. AI for all it's worth is a toy. One that shows us our own limitations but replace the word AI with God and understand that we spend a lot of time ruminating over things that don't matter. It's an opinion, don't kill me over it. But Dustin has reached an interesting point. What's the value of our time and effort and where should we place it? If the tools we create can do the things we used to do for "work" and "fun" then we need to get back to doing what only humans were made for. Being human.
> But now, when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea, I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought. Minimal organic thinking required.
No offense, but I've found that AI outputs very polished but very average work. If I am working on something more original, it is hard to get AI to output reasoning about it without heavy explanation and guidance. And even then, it will "revert to the mean" and stumble back into a rut of familiar concepts after a few prompts. Guiding it back onto the original idea repeatedly quickly uses up context.
If an AI is able to take a sliver of an idea and output something very polished from it, then it probably wasn't that original in the first place.
> My thinking systems have atrophied, and I can feel it.
I do understand where the author is coming from. Most of the times, it is easy to read an answer---regardless of whether it is right/wrong, relevant or not---than think of an answer. So AI does take that friction of thinking away.
But, I am still disappointed of all this doom because of AI. I am inclined to throw my hands and say "just don't use it then". The process of thinking is where the fun lies, not in showing the world I am better or always right than so and so.
This person should probably read pre-Internet books, discover or rediscover that the bar for passable expression in text is very low compared to what it was.
Most of that 'corpus' isn't even on the Internet so it is wholly unknown to our "AI" masters.
I used to write open source a lot but lately, I don't see the point. Not because I think LLMs can produce novel code as good code as me or will be able to in the near future. But because any time I come up with a new solution to something, it will be stolen and used without my permission, without giving me credit or without giving users the rights I give them. And it will be mangled just enough that I can't prove anything.
Large corporations were so anal about copyright that people who ever saw Microsoft's code were forbidden from contributing to FOSS alternatives like wine. But only as long as copyright suited them. Now abolishing copyright promises the C-suite even bigger rewards by getting rid of those pesky expensive programmers, if only they could just steal enough code to mix and match it with enough plausible deniability.
And so even though _in principle_ anybody using my AGPL code or anything that incorporates my AGPL code has the right to inspect and modify said code; yet now tine fractions of my AGPL code now have millions or potentially billions of users but nobody knows and nobody has the right to do anything about it.
And those who benefit the most are those who already have more money than they can spend.
> This post was written entirely by a human, with no assistance from AI. (Other than spell- and grammar-checking.)
That’s not what “no assistance” means.
I’m not nitpicking, however - I think this is an important point. The very concept of what “done completely by myself” means is shifting.
The LLMs we have today are vastly better than the ones we had before. Soon, they will be even better. The complaint he makes about the intellectual journey being missing might be alleviated by an AI as intellectual sparring partner.
I have a feeling this post basically just aliases to “they can think and act much faster than we can”. Of course it’s not as good, but 60-80% as good, 100x faster, might be net better.
My way out of this was to start thinking about what can't the LLMs of the world do and my realization was actually quite simple and quite satisfying.
What LLMs can't replace is network effects. One LLM is good but 10 LLMs/agents working together creating shared history is not replaceable by any LLM no matter how smart it becomes.
So it's simple. Build something that benefit from network effects and you will quickly find new ideas, at least it worked for me.
There's quite a dichotomy going on in software development. With AI, we can all create much more than we ever could before, and make it much better and even in much less time, but what we've lost is the sense of pride that comes with the act of creating/coding, because nowadays:
1) If you wrote most of it yourself then you failed to adequately utilize AI Coding agents and yet...
2) If AI wrote most of it, then there's not exactly that much of a way to take pride in it.
So the new thing we can "take pride in" is our ability to "control" the AI, and it's just not the same thing at all. So we're all going to be "changing jobs" whether we like it or not, because work will never be the same, regardless of whether you're a coder, an artist, a writer, or an AD agency fluff writer. Then again pride is a sin, so just GSD and stop thinking about yourself. :)
Right. In the near term, I'm predicting a dramatic decline in software quality, because code was never understood and tested properly. In the future we will have better processes, and better ways of letting AI do it's own checking/validation, but that's lagging right now.
It'll be interesting to see a society where there's a big negative incentive to actually sitting down and understanding how things work, in the name of efficiency.
I've already noticed I'm getting lazy, because of AI, and other developer friends say they are also. I'd rather explain to an AI what I want done, instead of actually writing the code, just because it's easier to explain it than do it.
"AI could probably have written this post far more quickly, eloquently, and concisely. It’s horrifying."
ChatGPT write that post more eloquently:
May 16, 2025
On Thinking
I’ve been stuck.
Every time I sit down to write a blog post, code a feature, or start a project, I hit the same wall: in the age of AI, it all feels pointless. It’s unsettling. The joy of creation—the spark that once came from building something original—feels dimmed, if not extinguished. Because no matter what I make, AI can already do it better. Or soon will.
What used to feel generative now feels futile. My thoughts seem like rough drafts of ideas that an LLM could polish and complete in seconds. And that’s disorienting.
I used to write constantly. I’d jot down ideas, work them over slowly, sculpting them into something worth sharing. I’d obsess over clarity, structure, and precision. That process didn’t just create content—it created thinking. Because for me, writing has always been how I think. The act itself forced rigor. It refined my ideas, surfaced contradictions, and helped me arrive at something resembling truth. Thinking is compounding. The more you do it, the sharper it gets.
But now, when a thought sparks, I can just toss it into a prompt. And instantly, I’m given a complete, reasoned, eloquent response. No uncertainty. No mental work. No growth.
It feels like I’m thinking—but I’m not. The gears aren’t turning. And over time, I can feel the difference. My intuition feels softer. My internal critic, quieter. My cleverness, duller.
I believed I was using AI in a healthy, productive way—a bicycle for the mind, a tool to accelerate my intellectual progress. But LLMs are deceptive. They simulate the journey, but they skip the most important part. Developing a prompt feels like work. Reading the output feels like progress. But it's not. It’s passive consumption dressed up as insight.
Real thinking is messy. It involves false starts, blind alleys, and internal tension. It requires effort. Without that, you may still reach a conclusion—but it won’t be yours. And without building the path yourself, you lose the cognitive infrastructure needed for real understanding.
Ironically, I now know more than ever. But I feel dumber. AI delivers polished thoughts, neatly packaged and persuasive. But they aren’t forged through struggle. And so, they don’t really belong to me.
AI feels like a superintelligence wired into my brain. But when I look at how I explore ideas now, it doesn’t feel like augmentation. It feels like sedation.
Still, here I am—writing this myself. Thinking it through. And maybe that matters. Maybe it’s the only thing that does.
Even if an AI could have written this faster.
Even if it could have said it better.
It didn’t.
I've had the same experience but with drawing. What's the point when AI can generate perfect finished pieces in seconds? Why put all that effort in to learning and drawing something. It's always been hard for me but it used to feel worth it for the finished piece, but now you can bring a piece of computer art into being with a simple word prompt.
I still create, I just use physical materials like clay and such, to make things that AI can't yet replicate.
AI won't create something perfect or even better. And to the extent we enjoy creating for its own sake that's still there. But it's true that real creators will have a harder time being seen by others when there's an ocean of slop being shoved down our throats by parties with endless budgets.
Agreed. I keep seeing posts where people claim the output is all that really matters (particularly with code), and I think that's missing something deeply fundamental about being human.
I think we are going to be seeing a vast partitioning in society in the next months and years.
The process of forming expressions just is the process of conceptual and rational articulation (as per Brandom). Those who misunderstand this -- believing that concepts are ready made, then encoded and decoded from permutations of tokens, or, worse, who have no room to think of reasoning or conceptualization at all -- they will be automated away.
I don't mean that their jobs will be automated: I mean that they will cede sapience and resign to becoming robotic. A robot is just a "person whose work or activities are entirely mechanical" (https://www.etymonline.com/search?q=robot).
I'm afraid far too many are captive to the ideology of productionism (which is just a corollary of consumerism). Creative activity is not about content production. The aim of our creation is communication and mutual-transformation. Generation of digital artifacts may be useful for these purposes, but most uses seem to assume content production is the point, and that is a dark, sad, dead end.
It is knowledge that gets automated, rather than reasoning.
I was thinking of the first solar civilization, which lives totally in space. Near a star, but not in a planet, and no gravitational pull anywhere. They build tubes 10 km long, a shot board is put at one end, and the players at the other end. They shoot darts at the board, and each shot takes 5 hours to reach the target. That's their national sport.
Problem is, I have never played darts, i don't know anyone who plays it, I will ask the LLM to fill in the blanks, of how a story based on that game could be constructed. Then I will add my own story on top of that, I will fix anything that doesn't fit in, add some stuff, remove some other stuff and so on.
For me it saves time, instead of asking people about something, hearing them talk about it or watching them do it, i do data mining on words. Maybe more shallow than experiencing it myself or asking people who know about it first hand, but the time it takes to get some information good enough collapses down to 5 minutes.
Depends on how you use it, it can enhance human capabilities, or indeed, mute them.
Oh turns out ChatGPT generates exactly the level of banality that one would expect.
https://chatgpt.com/canvas/shared/6827fcdd3ec88191ab6a2f3297...
I don't want to read this story. I probably want to read one that a human author laboured over.
hmm
ive been thinking that the knowledge isnt written down, so cant be automated, which also makes knowledge sharing hard, but the reasoning is automated
so, ive been trying to figure out patterns by which the knowledge does get written down, and so can be reasoned about
99% if not 100% of human thought and general output is derivative. Everything we create or do is based on something we've experienced or seen.
Try to think of an object that doesn't exist, and isn't based on anything you've ever seen before, a completely new object with no basis in our reality. It's impossible.
Writers made elves by adding pointy ears to a human. That's it.
This is an alarmingly reductionist statement that I cannot believe is made in good faith. If it somehow is, it's based on an abundance of ignorance that only highlights the importance of education.
Are you genuinely arguing that LLM output is derivative, and human output is derivative, therefore they're equal? Why don't you pop that thesis into ChatGPT and see how it answers.
No, that's not true.
Quick, what's 51 plus 92?
Now: Did you think back to a time someone else added these numbers together, or are you doing it yourself, right now, in your head? I'm sure it's not the first time these numbers have ever been summed, but that doesn't matter. You're doing it now, independently.
Just because something isn't unique, doesn't make it derivative. We rediscover things every day.
Go with 99.9%. But not 100%.
Someone imagined space and time could be a deformed fabric. That was new.
In minor and major ways, new ideas are found or emerge from searches for solutions to problems from science to art. Or exploration of things in new combinations or from a previously untapped viewpoint.
Most people are not looking hard for anything beyond what they know. So not likely to find anything new.
But many people try new things, or try to improve or vary something in a direction that is not easy, and learning something nonobvious and new is the “price” they must pay to succeed. Or a bonus they are paid for pushing through a thicket, even if they don’t succeed at what they set out to do.
> Writers made elves by adding pointy ears to a human. That's it.
Humans have been interested in supernatural beings for thousands of years. Their appearance is usually less important than their powers and abilities.
The word is present in Old English and Old Norse, and elves appear in Norse mythology.
> Writers made elves by adding pointy ears to a human.
Now that’s reductionist to the point of being diminutive.
Hey, no need to get short!
We should try to be the bigger person.
That’s really the long and short of it.
Its not, thats why the term humanoid exists.
> Try to think of an object that doesn't exist, and isn't based on anything you've ever seen before, a completely new object with no basis in our reality. It's impossible.
This is an outrageous thought experiment. Novelty is creating new connections or perceiving things in new ways, you can't just say "try to have eureka moment, see! impossible". You can't prompt engineer your own brain.
In fact, there's some research about eureka moments rewiring our brain. https://neurosciencenews.com/insight-memory-neuroscience-289...
> Try to think of an object that doesn't exist, and isn't based on anything you've ever seen before, a completely new object with no basis in our reality. It's impossible.
Pick up an Iain M. Banks book, my friend.
> Everything we create or do is based on something we've experienced or seen.
I would add a couple of things to that. First, humans (like other animals) have instincts and feelings; even newborns can exhibit varying personality traits as well as fears and desires. It's certainly useful to fear things like spiders, snakes, or abandonment without prior experience.
Second, an important part of experience is inner life - how you personally perceive, feel, and experience things. This may be very different from person to person.
What really fascinates me is gender based toy preferences at <2 years old. Very consistent that boys like race cars and action figures, even though it's their first exposure.
(I do not participate in culture wars, this fact just straight up fascinates me as a non-masculine gay guy.)
That is a nonsense definition of creativity. The parent also wasn't suggesting - as far as I can read - that creativity is defined solely in the realm of the "truly novel" (or "isn't based on anything you've ever seen before").
All creativity is a conversation between our own ideas and what already exists.
Consider the unused soundtrack to James Cameron's Avatar [0][1], where ethnomusicologists set out to create a kind of music that had never been heard before.
They succeeded. But it was ultimately scrapped for the film because - by virtue of it being so different to any music anyone has ever heard before - it was not remotely accessible to audiences and the movie suffered as a result.
To argue that work is not creative because it is still based on "music" is absurd.
[0] https://www.youtube.com/watch?v=tL5sX8VmvB8
[1] https://ethnomusicologyreview.ucla.edu/journal/volume/17/pie...
Incredibly interesting, thanks for sharing
It astonishes me sometimes how completely stupid and reductive some HN takes on arts and creativity can be. I am astounded continually at how we can produce humans who are so capable in one sphere of life and so ignorant and oblivious of others...yet all too willing to make dismissive claims about them...
Creativity is much more than the derivative production of artifacts. What the OP is driving at is that creativity is a process of human connection and communication—you can see this most clearly in the art of interpretation. A single literary work has an almost uncountable number of possible interpretations, and a huge element of its existence in the world as a price of art are the discussions and debates that emerge over those interpretations, and how they shape us as individuals, instill morals, etc etc. Quite a lot more than "making elves by adding pointy ears to humans".
Your post stinks of the very gross consumerist mindset the OP called out. The creation and preservation of meaning is about way more than the production of fungible decontextualized objects--it's all about the mediation and maintenance of human relationships through artifacts. The fact that the elves have pointy ears doesn't even begin to scratch at their actual meaning (e.g. they exist in a world with very big real problems that effect you and me too, e.g. race relations, and exaggerated features estrange these relations so as to make them more discernible to us and allow us to finally see the water we swim in).
If humans stop engaging with these processes, it's reasonable to believe that a lot of that semiotic richness, which is much of what, in my opinion, makes us human and not just super smart animals in the first place, will be lost.
I'm not so sure about it.
Maybe it's like that because there aren't many novel opportunities for varied experiences nowadays.
The pointy ear sounds trivial in our experience, but it is radically different than ordinary everyday thought when observed as a piece of a whole imagined new world.
Of course, pointy ears now are not a novelty anymore. But that's beyond the point. By the time they were conceived, human experience was already homogenized.
The idea space for what an object is has been depleted by exploration. People already tried everything. It's kinda the same thing as saying that is impossible to come up with a new platonic solid (also an idea space that has been exhausted).
Any novel thought is bound to be nameless at first, and it becomes novel by trying to use derivation to define an unknown observation, not as a basis for it.
Completely agree.
From all of my observations, the impact of LLMs on human thought quality appears largely corrosive.
I’m very glad my kid’s school has hardcore banned them. In some class they only allow students to turn in work that was done in class, under the direct observation of the teacher. There has also been a significant increase in “on paper” work vs work done on computer.
Lest you wonder “what does this guy know anyways?”, I’ll share that I grew up in a household where both parents were professors of education.
Understanding the effectiveness of different methods of learning (my dad literally taught Science Methods) were a frequent topic. Active learning (creating things using what you’re learning about) is so much more effective than passive, reception oriented methods. I think LLMs largely are supporting the latter.
Anyone who has learned a second language can tell you that you aren't proficient just by memorizing vocabulary and grammar. Having a conversation and forming sentences on the fly just feels different- either as a different skill or using a different part of the brain.
I also don't think the nature of LLMs being a negative crutch is new knowledge per se; when I was in school, calculus class required a graphing calculator but the higher end models (TI-92 etc) that had symbolic equation solvers were also banned, for exactly the same reason. Having something that can give an answer for you fundamentally undermines the value of the exercise in the first place, and cripples your growth while you use it.
> the higher end models (TI-92 etc) that had symbolic equation solvers were also banned
I'm surprised it was a problem in the first place. Don't equation solving exercises require you to leave intermediary steps, and you can't just put a "x=5" as a one liner answer ?
Yeah and I'm of the age when teachers in all grades would say "you're not going to carry around a calculator your whole adult life"
Hilarious miscalculation.
Well I can extract a square root by hand. We all had to learn it and got tested on it.
No one to day learns that anymore. The vast, vast majority have no idea and I don’t think people are dumber because of it.
That is to say, I think it’s not cut-and-dried. I agree you need to learn something, but something’s it’s okay use a tool.
Comparing extracting a square root my hand is rather different in scope than reducing / simplifying equations entirely. The TI-92 could basically do all of your coursework for you up to college level, if memory serves.
The real question isn't "is it okay to use a tool" but "how does using a tool affect what you learn".
In the cases of both LLMs and symbolic solving calculators, I believe the answer is "highly detrimental".
Using a tool like that is opposite to mastering the skill. There's no royal road to mastery and never will be. One does not have to master all skills, of course, and may do well not mastering any (or mastering dark ones).
I very much agree with your sentiment here.
I tried to encapsulate that to some degree when writing something (perhaps poorly?) recently actually - https://smcleod.net/2025/03/the-democratisation-paradox-what...
The manual methods are also the foundation for higher approaches involving approximation and iterative solutions. These are widely used in engineering and science.
Pressing a calculator key doesn’t give the same insight.
Huh? While I essentially never have need to compute a square root by hand (unless it is a perfect square of course), shouldn’t one know how one would?
Why should one? Perhaps they should if it's relevant to their work, daily routine, or interests. But if they have no need for it?
Same with drawing which is easy to teach, but hard to master because of the coordination between eyes and hand. You can trace a photograph, but that just bypass the whole point and you don’t exercise any of the knowledge.
Feels different, comes naturally, without conscious thought, just like we don't focus on beating our hearts.
And agree about learning by practicing a skill being best. But you and I both know the school system has worked on rote memorisation for hundreds of years at least and still is now.
Another case in point is that memorizing vocabularies and grammar, although could seem like an efficient way to learn a language, is incredibly unrewarding. I've been learning japanese from scratch, using only real speech to absorb new words, without using dictionaries and anything else much. The first feeling of reward came immediately when I learned that "arigatou" means thanks (although I terribly misheard how the word sounded, but hey, at least I heard it). Then after 6 month, when I could catch and understand some simple phrases. After 6-7 years I can understand about 80% of any given speech, which is still far, but I gotta say it was a good experience.
With LLM's giving you ready-made answers I feel like it's the same. It's not as rewarding because you haven't obtained the answer yourself. Although it did feel rewarding when I was interrogating an LLM about how CSRF works and it said I asked a great question when I asked whether it only applies to forms because it seems like fetch has a different kind of browser protection.
How much hours would you estimate did you watch (I assume it was video, not just audio) in those years? What kind of material? Just curious.
> I’m very glad my kid’s school has hardcore banned them.
What does that mean, I’m curious?
The schools and university I grew up in had a “single-sanction honor code” which meant if you were caught lying or cheating even once you would be expelled. And you signed the honor code at the top of every test.
My more progressive friends at other schools who didn’t have an honor code happily poo-pooed it as a repugnantly harsh old fashioned standard. But I don’t see a better way today of enforcing “don’t use AI” in schools, than it.
The school has an academic honestly policy which explicitly bans it, under “Cheating”, which includes:
“Falsifying or inventing any academic work, including the use of AI (ChatGPT, etc)”
Additionally, as mentioned, the school is taking actions to change how work is done to ensure students are actually doing their own work - such as requiring written assignments be completed during class time, or giving homework on physical paper that is to be marked up by hand and returned.
Apparently this is the first year they have been doing this, as last year they had significant problems with submitted work not being authored by students.
This is in an extremely competitive Bay Area school, so there can be a lot of pressure from parents on students to make top grades, and sometimes that has negative side effects.
I don’t see the problem.
I’m not sure how LLMs output is indistinguishable from Wikipedia or World Book.
Maybe? and if the question is “did the student actually write this?” (which is different than “do they understand it?” there are lots of different ways to assess if a given student understands the material…that don’t involve submitting typed text but still involve communicating clearly.
If we allow LLMs- like we allow calculators, just how poor LLMs are will become far more obvious.
Oral presentation without notes and a live Q&A would be some ways…
If LLMs are allowed then sure. However, when LLMs are explicitly banned from use, is the case I am talking about.
Today such infractions might result in a verbal warning…
This reminds me how back in my school days I was not allowed to use the internet to prepare research on some random topics (e g. history essay). It was the late 90s when the internet started to spread. Anyway teachers forced us to use offline libraries only.
Later in the university I was studying engineering. And we were forced to prepare all the technical drawings manually in the first year of study. Like literally with pencil and ruler. Even though computer graphics were widely used and we're de facto standard.
Personally I don't believe hardcore ban will help with any sort of thing. It won't stop the progress either. It's much better to help people learn how to use things instead of forcing them to deal with "old school" stuff only.
I was expecting some response like this, because schools have “banned” things in the past.
While this is superficially similar, I believe we are talking about substantially different things.
Learning (the goal) is a process. In the case of an assignment, the resulting answer / work product, while it is what is requested, is critically not the goal. However, it is what is evaluated, so many confuse it with the goal (“I want to get a good grade”)
Anything which bypasses the process makes the goal (learning) less likely to be achieved.
So, I think it is fine to use a calculator to accelerate your use of operations you have already learned and understand.
However, I don’t think you should give 3rd graders calculators that just give them the answer to a multiplication or division when they are learning how those things work in the first place.
Similarly, I think it’s fine to do research using the internet to read sources you use to create your own work.
Meanwhile, I don’t think it’s fine to do research using the internet to find a site where you can buy a paper you can submit as your own work.
Right now, LLMs can be used to bypass a great deal of process, which is why I support them not being used.
It’s possible, maybe even likely that we’ll end up with a “supervised learning by AI” approach where the assignment is replaced by “proof of process”, a record of how the student explored the topic interactively. I could see that working if done right.
Ironically, states now use AI to grade student essays in standardized tests.
English teachers even recommend grammarly..
Students are given a “prompt” for writing.
I wish other schools had the conviction you describe…
> Students are given a “prompt” for writing
Students were always given a “prompt” for writing.
That’s why tech companies used that term; rather than the other way around.
> I’m very glad my kid’s school has hardcore banned them.
Schools will ban anything they think of as sinister.
You can learn a lot from LLMs though, same with, say, Wikipedia. You need curiosity. You need the desire to learn. If you do not have it, then of course you will get nowhere, LLMs or no LLMs.
From the article:
“The irony is that I now know more than I ever would have before AI. But I feel slightly dumber. A bit more dull. LLMs give me finished thoughts, polished and convincing, but none of the intellectual growth that comes from developing them myself. The output from AI answers questions. It teaches me facts. But it doesn’t really help me know anything new.”
I think the thesis is that with AI there is less need and incentive to “put the work in” instead of just consuming what the AI outputs, and that in consequence we do the needed work less and atrophy.
Honestly, I doubt that LLMs are great for learning. Too often, they output plausible-sounding things that turn out to be completely wrong. I know Wikipedia can have its problems with factuality, but this is on an entirely different level. (And yes, they do this even when they're allowed to do web searches and "reason".)
The effort of verifying everything it claims may or may not outweigh the effort of other means of learning.
Never underestimate laziness, or willingness to take something 80% as good for 1% of the work.
So most are not curious. So what do you do for them?
Realistically, putting them into trades sooner could almost be a good thing. Kids who don’t want to learn end up dragging down the class and distracting those who do.
But, these are kids… Hard to argue that adults should selectively deny education when it is their responsibility to do otherwise.
We don’t neglect the handicapped because it is inconvenient to provide them with assistance.
You have to somehow figure out the root cause of the laziness, or if it really is laziness, and not something else, e.g. a mental health issue.
Plus, many kids fail school not because of laziness, but because of their toxic environment.
> if it really is laziness, and not something else, e.g. a mental health issue.
Kids optimize. When I was in high school I was fully capable of getting straight F's in a class I didn't care about and straight A's in a class I enjoyed.
Why bother learning chemistry when you could instead spend that time coding cool plugins and websites in PHP that thousands of internet strangers are using? I really did build one of the most popular phpBB plugins and knew I was gonna be a software engineer. Not that my chemistry professor cared about any of that or even understood what I'm talking about.
Can you learn a lot? Or do you get instant answers to every question without learning anything, as OP suggests?
You can learn an incredible amount. I do quite a bit of research as a core part of my job, and LLMs are amazing at helping me find relevant research to help me explore ideas. Something like "I'm thinking of X. Does this make sense and do you know of any similar research?" I also mentor some students whose educational journey has been fundamentally changed by them.
Like any other tool, it's more a question of how they're used. For example, I've seen incredible results for students who use ChatGPT to interrogate ideas as they synthesize them. So, for example, "I'm reading this passage PASSAGE and I'm confused about phrase X. The core idea seems similar to Y, which I am familiar with. if I had to explain X, I'd put it like this ATTEMPT Can you help me understand what I'm missing?"
The results are very impressive. I'd encourage you to try it out if you haven't.
I've used it these past few months to better understand the PDF format, Nix, and a few other technical concepts.
I try to use AI to automate things I already know and force myself to learn things I don't know.
It takes discipline/curiosity but it can be a net positive.
You can learn a lot, if you want to. I can ask it a question with regarding to pharmacodynamics of some medication, and I can ask more and more questions, and learn. Similarly, I could pick up a book on pharmacology, but LLMs can definitely make learning easier.
Wikipedia isn't going to write your paper for you. I don't see the difference between an LLM and one of those paper writing services in this context.
> nothing I make organically can compete with what AI already produces—or soon will.
No LLM can ever express your unique human experience (or even speak from experience), so on that axis of competition you win by default.
Regurgitating facts and the mean opinion on topics is no replacement for the thoughts of a unique human. The idea that you're competing with AI on some absolute scale of the quality of your thought is a sad way to live.
More generally, prior to LLMs, you were competing with 8 billion people alive (plus all of our notable dead). Any novel you could write probably had some precedent. Any personal story you could tell probably happened to someone else too. Any skill you wanted to develop, there probably was another person more capable of doing the same.
It was never a useful metric to begin with. If your life goal is to be #1 on the planet, the odds are not in your favor. And if you get there, it's almost certainly going to be unfulfilling. Who is the #1 Java programmer in the world? The #1 topologist? Do they get a lot of recognition and love?
> Who is the #1 Java programmer in the world?
James Gosling, of course[1]. Next question...
> The #1 topologist?
I'm not a mathematician, but... maybe Akshay Venkatesh, who won the Fields Medal in 2018?
[1] https://news.ycombinator.com/item?id=44005008
a fun thing about having a high-dimensional fitness function is that it's pretty easy to not be strictly worse than anyone
pareto adequate
[dead]
Among the many ways that AI causes me existential angst, you've reminded me of another one. That is, the fact that AI pushes you towards the most average thoughts. It makes sense, given the technology. This scares me because creative thought happens at the very edge. When you get stuck on a problem, like you mentioned, you're on the cusp of something novel that will at the very least grow you as a person. The temptation to use AI could rob you of the novelty in favor what has already been done.
I feel there's a glaring counter point to this. I have never felt more compelled to try out whatever coding idea that pops into my head. I can make Claude write a poc in seconds to make the idea more concrete. And I can write into a good enough tool in a few afternoons. Before this all those ideas would just never materialize.
I mean I get the existential angst though. There's a lot of uncertainty about where all this is heading. But, and this is really a tangent, I feel that the direction of it all is in the intersection between politics, technology and human nature. I feel like "we the people" leave walkover to powerful actors if we do not use these new powerful tools in service of the people. For one - to enable new ways to coordinate and organise.
Good point. It's not that AI is "pushing us" towards anything. AI can be a muse that elevates our creativity. IF we use it that way. But do we use it that way? I think there will be some who do.
The majority of users seem to want convenience at any expense. Most are unconcerned with a loss of agency, almost enthusiastic about it if it removes the labor of thinking.
[dead]
> AI pushes you towards
That's interesting point. But here is the thing: you are supposed to drive. Not AI god. Look at it as at an assistant whom you can interrupt, instruct, correct, ask to redo. While focusing on 'what' you can delegate it some 'how' problems.
I for one, thing directing subordinates to do something I could be doing kinda … sucks? Like, I get that’s how you have to work with LLMs, but it isn’t a fun thing to do for me.
Very strange. Either the author uses some magic AI, or I am holding it wrong. I used LLMs since a couple of years, as a nice tool.
Besides that:
I have tried using LLMs to create cartoon pictures. The first impression is “wow”; but after a bunch of pictures you see the evidently repetitive “style”.
Using LLMs to write poetry results is also quite cool at first, but after a few iterations you see the evidently repetitive “style”, which is bland and lacks depth and substance.
Using LLMs to render music is amazing at first, but after a while you can see the evidently repetitive style - for both rhymes and music.
Using NotebookLM to create podcasts at first feels amazing, about to open the gates of knowledge; but then you notice that the flow is very repetitive, and that the “hosts” don’t really show enough understanding to make it interesting. Interrupting them with questions somewhat dilutes this impression, though, so jury is out here.
Again, with generating the texts, they get a distant metallic taste that is hard to ignore after a while.
The search function is okay, but with a little bit of nudge one can influence the resulting answer by a lot, so I wary if blindly taking the “advice”, and always recheck it, and try to make two competing where I would influence LLM into taking the competing viewpoints and learn from both.
Using the AI to generate code - simple things are ok, but for non-trivial items it introduces pretty subtle bugs, which require me to ensure I understand every line. This bit is the most fun - the bug quest is actually entertaining, as it is often the same bugs humans would make.
So, I don’t see the same picture, but something close to the opposite of what the author sees.
Having an easy outlet to bounce the quick ideas off and a source of relatively unbiased feedback brought me back to the fun of writing; so literally it’s the opposite effect compared to the article author…
Maybe you are not that great at using the most current LLMs or you don't want to be? I find that increasingly to be the most likely answer, whenever somebody makes sweeping claims about the impotence of LLMs.
I get more use out of them every single day and certainly with every model release (mostly for generating absolutely not trivial code) and it's not subtle.
> Maybe you are not that great at using the most current LLMs or you don't want to be?
I’m tired of this argument. I’ll even grant you: both sides of it.
It seems as though we prepared our selves to respond to llms in this manner with people memeing, or simply recognizing, that there was a “way” to ask questions to get better results early on when ranked search broadened the appeal of search engines.
The reality is that both you and the op are talking about the opinion of the thing, but leaving out the thing itself.
You could say “git gud”, but what if you showed op what “gud” output to you was, and they recognized it as the same sort of output that they were saying was repetitive?
It’s ambiguity based on opinion.
I fear so many are taking part each other.
Perhaps linking to example prompts and outputs that can be directly discussed is the only way to give specificity to the ambiguous language.
Could totally be the case, that, as I wrote in the very first sentence, I am holding it wrong.
But I am not saying LLMs are impotent - the other week Claude happily churned me ~3500 lines of C code that allowed to implement a prototype capture facility for network packets with flexible filters and saving the contents into pcapng files. I had to fix a couple of bugs that it made, but overall it was certainly at least 5x-10x productivity improvement compared to me typing these lines of code by hand. I don’t dispute that it’s a pretty useful tool in coding, or as a thinking assistant (see the last paragraph of my comment).
What I challenged is the submissive self deprecating adoration across the entire spectrum.
What kind of problems are you solving day-to-day where the LLMs are doing heavy lifting?
>evidently repetitive “style”.
Use LORAs, write better prompts. I've done a lot of diffusion and especially in 2025 it's not difficult to get out something quite good.
Repetitive style is funny, because that's what human artists do for the most part. I'm a furry, I look at a lot of art and individual styles are a well established fact.
I think the article describes a real problem in that AI discourages thought. So do other things, but what's new about AI is that it removes an incentive to try.
It used to be that if you spent your day doomscrolling instead of writing a blog post, that blog post wouldn't get written and you wouldn't get the riches and fame. But now, you can use AI to write your blog post / email / book. If you don't have an intrinsic motivation to work your brain, it's a lot easier to wing it with AI tools.
At the same time... gosh. I can't help but assume that the author is just depressed and that it has little to do with AI. The post basically says that AI made his life meaningless. But you don't have to use AI tools if they're harming you. And more broadly, life has no meaning beyond what we make of it... unless your life goal is to crank out text faster than an LLM, there's still plenty of stuff to focus on. If you genuinely think you can't possibly write anything new and interesting, then dunno, pick a workshop craft?
Humans are social creatures. The existence of a tool that can replace humans is not nearly so depressing as the realization that a loud and powerful group of people are zealous and joyful to use it to such ends. The assumption that people come first is rapidly becoming a logical fallacy in a world that seeks to optimize paperclips first.
Anyway, the pendulum will swing the other way eventually, but it's a rough ride hanging on until then.
Glad to see stimulating discussion here falling on both sides.
For me it decreases the barrier to try and test new thoughts, never have I felt more empowered to try out new avenues that in the past might have been too time consuming or expensive to dispose of.
I've been finding a lot of fulfillment in using AI to assist with things that are (for now) outside of the scope of one-shot AI. For example, when working on projects that require physical assembly or hands-on work, AI feels more like a superpower than a crutch, and it enables me to tackle projects that I wouldn't have touched otherwise. In my case, this was applied to physical building, electronics, and multimedia projects that rely on simple code that are outside of my domain of expertise.
The core takeaway for me is that if you have the desire to stretch your scope as wide as possible, you can get things done in a fun way with reduced friction, and still feel like your physical being is what made the project happen. Often this means doing something that is either multidisciplinary or outside of the scope of just being behind a computer screen, which isn't everyone's desire and that's okay, too.
Yeah I haven't found the right language for this yet, but it's something like: I'm happy and optimistic about LLMs when I'm the one doing something, and more anxious about them when I'm supporting someone else in doing something. Or: It makes me more excited to focus on ends, and less excited to focus on means.
Like, in the recent past, someone who wanted to achieve some goal with software would either need to learn a bunch of stuff about software development, or would need to hire someone like me to bring their idea to life. But now, they can get a lot further on their own, with the support of these new tools.
I think that's good, but it's also nerve-wracking from an employment perspective. But my ultimate conclusion is that I want to work closer to the ends rather than the means.
Interesting, I just replied to this post recommending the exact opposite: to focus on means vs ends.
The post laments how everything is useless when any conceivable "end state" a human can do will be inferior to what LLMs can do.
So an honest attention toward the means of how something comes about—the process of the thinking vs the polished great thought—is what life is made of.
Another comment talks about hand-made bread. People do it and enjoy it even though "making bread is a solved problem".
I saw that and thought it was an interesting dichotomy.
I think a way to square the circle is to recognize that people have different goals at different times. As a person with a family who is not independently wealthy, I care a lot about being economically productive. But I also separately care about the joy of creation.
If my goal in making a loaf of bread is economic productivity, I will be happy if I have a robot available that helps me do that quickly. But if my goal is to find joy in the act of creation, I will not use that robot because it would not achieve that goal.
I do still find joy in the act of creating software, but that was already dwindling long before chatgpt launched, and mostly what I'm doing with computers is with the goal of economic productivity.
But yeah I'll probably still create software just for the joy of it from time to time in the future, and I'm unlikely to use AIs for those projects!
But at work, I'm gonna be directing my efforts toward taking advantage of the tools available to create useful things efficiently.
ooh I like this take. We can change the framing. In the frame of one's livelihood we need to be concerned with economic productively, philosophy be damned.
Beautifully put!
> The fun has been sucked out of the process of creation because nothing I make organically can compete with what AI already produces—or soon will.
So the fun, all along, was not in the process of creation itself, but in the fact that the creator could somehow feel superior to others not being able to create? I find this to be a very unhealthy relationship to creativity.
My mixer can mix dough better than I can, but I still enjoy kneading it by hand. The incredibly good artisanal bakery down the street did not reduce my enjoyment of baking, even though I cannot compete with them in quality by any measure. Modern slip casting can make superior pottery by many different quality measures, but potters enjoy throwing it on a wheel and producing unique pieces.
But if your idea of fun is tied to the "no one else can do this but me", then you've been doing it wrong before AI existed.
> So the fun, all along, was not in the process of creation itself, but in the fact that the creator could somehow feel superior to others not being able to create? I find this to be a very unhealthy relationship to creativity.
People realize this at various points in their life, and some not at all.
In terms the author might accept, the metaphor of the stoic archer comes to mind. Focusing on the action, not the target is what relieves one of the disappointment of outcome. In this cast, the action is writing while the target is having better thoughts.
Much of our life is governed by the success at which we hit our targets, but why do that to oneself? We have a choice in how we approach the world, and setting our intentions toward action and away from targets is a subtle yet profound shift.
A clearer example might be someone who wants to make a friend. Let's imagine they're at a party and they go in with the intention of making a friend, they're setting themselves up for failure. They have relatively little control over that outcome. However, if they go in with the intention of showing up authentically - something people tend to appreciate, and something they have full control over - the changes of them succeeding increase dramatically.
Choosing one's goals - primarily grounded in action - is an under-appreciated perspective.
>> Focusing on the action, not the target is what relieves one of the disappointment of outcome.
The primary reason is not that it relieves us of the disappointment, but that worrying about the outcome increases our anxiety and impacts our action which hampers the outcome.
Let's frame it more generously: The reward is based on being able to contribute something novel to the world - not because nobody else can but because it's another contribution to the world's knowledge.
If the core idea that was intended to be broadcasted to the world was a "contribution", and LLM simply expanded on it, then I would view LLMs simply a component in that broadcasting operation (just as the internet infrastructure would be), and the author's contribution would still be intact, and so should his enjoyment.
But his argument does not align with that. His argument is that he enjoys the act of writing itself. If he views his act of writing (regardless of the idea being transmitted) as his "contribution to world's knowledge", then I have to say I disagree - I don't think his writing is particularly interesting in and of itself. His ideas might be interesting (even if I disagree), but he obviously doesn't find the formation of ideas enjoyable enough.
If that's the source of author's existential crisis, they may possibly find it interesting to meditate on the idea that there's no thinker behind the thought, and the impermanence of "self".
Even if they don't buy all the way into the whole hard incompatiblism thing, the idea is that they may find some value in the process.
It sounds as if the reward is primarily monetary in this case.
As some others have commented, you can find rewards that aren't monetary to motivate you, and you can find ways to make your work so unique that people are willing to pay for it.
Technology forces us to use the creative process to more creatively monetize our work.
Let's be honest, humans have been creating slop for much longer then machines. Not a bad thing, but don't put it all on a pedestal.
Now you can contribute something novel to the world by pressing a button. Sounds like an improvement.
If one merely presses a button (the same button, not choosing what button to push based on context), I don’t see what it is that one has contributed? One of those tippy bird toys can press a button.
I can draw a circle on a piece of paper and that's a serious contribution?
Where is the line drawn?
Is me sneezing a contribution to the world of art, since art is all about interpretation™®© and some smarmy critic will do a piece on how my sneeze is a visceral physical performative art illustrating the downfall of the modern world where technology binds us and we spend too much time inside surrounded by screens and dust and co2.
Nah, I just sneezed. That's all.
It sounds to me like you are maybe agreeing with me but thought that I was expressing the opposite of what I did, and so are phrasing it as if it were disagreement?
Or maybe you are just agreeing, and did understand that my point was that I don’t think pressing a button is a contribution.
If you are disagreeing with my comment, can you explain how this is disagreeing?
The primary motivation should be wisdom. No one can become wise for you. You don't become any wiser yourself that way. And a machine isn't even capable of being wise.
So while AI might remove the need for human beings to engage in certain practical activities, it cannot eliminate the theoretical, because by definition, theory is done for its own sake, to benefit the person theorizing by leading them to understanding something about the world. AI can perhaps find a beneficial place here in the way books or teachers do, as guides. But in all these cases, you absolutely need to engage with the subject matter yourself to profit from it.
I think the article is getting at the fact that in a post-AGI world, human skill is a depreciating asset. This is terrifying because we exchange our physical and mental labor for money. Consider this: why would a company hire me if - with enough GPU and capital - they can copy-and-paste 1,000 of AI agents much smarter to do the work?
With AGI, Knowledge workers will be worth less until they are worthless.
While I'm genuinely excited about the scientific progress AGI will bring (e.g. curing all diseases), I really hope there's a place for me in the post-AGI world. Otherwise, like the potters and bakers who can't compete in the market with cold-hard industrial machines, I'll be selling my python code base on Etsy.
No Set Gauge had an excellent blog post about this. Have a read if you want a dash of existential dread for the weekend: https://www.nosetgauge.com/p/capital-agi-and-human-ambition.
That seems like a very narrow perspective. For one, it is neither clear we will end up with AGI at all—we could have reached or soon reach a plateau with the possibilities of the LLM technology—or whether it’ll work like what you’re describing; the energy requirements might not be feasible, for example, or usage is so expensive it’s just not worth applying it to every mundane task under the sun, like writing CRUD apps in Python. We know how to build flying cars, technically, but it’s just not economically sustainable to use them. And finally, you never know what niches are going to be freed up or created by the ominous AGI machines appearing on the stage.
I wouldn’t worry too much yet.
> With AGI, Knowledge workers will be worth less until they are worthless.
"Knowledge workers" being in charge is a recent idea that is, perhaps, reaching end of life. Up until WWII or so, society had more smart people than it had roles for them. For most of history, being strong and healthy, with a good voice and a strong personality, counted for more than being smart. To a considerable extent, it still does.
In the 1950s, C.P. Snow's "Two Cultures" became famous for pointing out that the smart people were on the way up.[1] They hadn't won yet; that was about two decades ahead. The triumph of the nerds took until the early 1990s.[2] The ultimate victory was, perhaps, the collapse of the Soviet Union in 1991. That was the last major power run by goons. That's celebrated in The End of History and the Last Man (1992).[3] Everything was going to be run by technocrats and experts from now on.
But it didn't last. Government by goons is back. Don't need to elaborate on that.
The glut of smart people will continue to grow. Over half of Americans with college educations work in jobs that don't require a college education. AI will accelerate that process. It doesn't require AI superintelligence to return smart people to the rabble. Just AI somewhat above the human average.
[1] https://en.wikipedia.org/wiki/The_Two_Cultures
[2] https://archive.org/details/triumph_of_the_nerds
[3] https://en.wikipedia.org/wiki/The_End_of_History_and_the_Las...
> With AGI, Knowledge workers will be worth less until they are worthless.
The article you've linked fundamentally relies on the assumption that "the tasks can be done better/faster/cheaper by AIs". (Plus, of course, the idea that AGI would be achieved, but without this one the whole discussion would be pointless as it would lack the subject, so I'm totally fine with this one.)
Nothing about AGI (as in "a machine that can produce intelligent thoughts on a given matter") says that human and non-human knowledge workers would have some obvious leverage over each other. Just like my coworkers' existence doesn't hurt mine, a non-human intelligence is of no inherent threat. Not by definition.
Non-intelligent industrial robotics is well-researched and generally available, yet we have plenty of sweatshops because they turn out to be cheaper than robot factories. Not fun, not great, I'm no fond of this, but I'm merely taking it as a fact, as it is how it currently is. So I really wouldn't dare to unquestionably assume that "cheaper" would be true.
And then "better" isn't obvious either. Intelligence is intelligence, it can think, it can make guesses, it can make logical conclusions, and it can make mistakes too - but we've yet to see even the tiniest hints of "higher levels" of it, something that would make humans out of the league of thinking machines if we're ranking on some "quality" of thinking.
I can only buy "faster" - and even that requires an assumption that we ignore any transhumanist ideas. But, surely, "faster" alone doesn't cut it?
This is only terrifying because of how we’ve structured society. There’s a version of the trajectory we’re on that leads to a post-scarcity society. I’m not sure we can pull that off as a species, but even if we can, it’s going to be a bumpy road.
the barrier to that version of the trajectory is that "we" haven't structured society. what structure exists, exists as a result of capital extracting as much wealth from labor as labor will allow (often by dividing class interests among labor).
agreed on the bumpy road - i don't see how we'll reach a post-scarcity society unless there is an intentional restructuring (which, many people think, would require a pretty violent paradigm shift).
I think we think of it as 'extracting' because people are coerced into jobs that they hate. I think AI can help us exit the paradigm of working as extracting. Basically, passion economy (ai handles marketing, internet distribution). Allows you to focus on what you actually like, but it can actually make money this time.
to be trite, we've been promised a world where AI will help to alleviate the menial necessities so that we're free to pursue our passions. in reality, what we're getting is AI that replaces the human component of passion projects (art, music, engineering as craft), leaving the "actually-hard-to-replace" "low-class" roles (cashiering, trash collection, housekeeping, farming, etc) to humans who generally have few other economic options.
without a dramatic shift in wealth distribution (no less than the elimination of private wealth and the profit motive), we can't have a post-scarcity society. capitalism depends entirely upon scarcity, artificial or not.
Yeah, I think you're onto something. I'm not sure the performative motivation is necessarily bad, but def different
Maybe AI is like Covid, where it will reveal that there were subtle differences in the underlying humans all along, but we just never realized it until something shattered the ability for ambiguity to persist.
I'm inclined to so that this is a destabilising thing, regardless of my thoughts on the "right" way to think about creativity. Multiple ways could coexist before, and now one way no longer "works".
I think the point is that part of the value of a work of art to this point is the effort or lack of effort involved in its creation. Evidence of effort has traditionally been a sign of the quality of thought put into a work as a product of time spent in its creation. LLMs short circuit this instinct in evaluation making some think works generated by AI are better than they are while simultaneously making those who create work see it as devaluation of work (which is the demotivator here).
I'm curious why so any people see creators and intellectuals as competitive people trying to prove they're better than someone else. This isn't why people are driven to seek knowledge or create Art. I'm sure everyone has their reasons for this, but it feels like insecurity from the outside.
Looking at debates about AI and Art outside of IP often brings out a lot of misunderstandings about what makes good Art and why Art is a thing man has been compelled to make since the beginning of the species. It takes a lifetime to select techniques and thought patterns that define a unique and authentic voice. A lifetime of working hard on creating things adds up to that voice. When you start to believe that work is in vain because the audience doesn't know the difference it certainly doesn't make it feel rewarding to do.
I think you are way past the argument the writer is making.
Sometimes the fun is in creating something useful, as a human, for humans. We want to feel useful to our tribe.
Yeah, there’s something this person needs to embrace about the process rather than being some kind of modern John Henry, comparing themselves to a machine. There’s still value in the things a person creates despite what AI can derive from its training model of Reddit comments. Find peace in the process of making and you’ll continue to love it.
We need to start taking a leaf of advice from spiritual knowledge that "You are not the doer." You were never the doer. The doing happened on its own. You were merely a vessel, an instrument. A Witness. Observe your inner mechanisms of mind, and you will quickly come to this realisation.
Good point.
Self-actualisation should be about doing the things that only you can. Not better than anyone else, but more like, the specific things that ony you, with the same of your experience, expertise, values and constraints can do.
I don’t think it’s solely the rub in others faces that they can’t create. You hope they learn to as well.
"The fun has been sucked out of the process of preparing food because nothing I make organically can compete with what restaurants/supermarkets already produces—or soon will."
Knowing that what I do anyone can do, no matter how well I'll do it, is discouraging. Because then, what is my purpose? What can I say that I'm good at?
That's a deeper question that only you can answer. I can only say that your thinking based on how you phrased it doesn't really lead to happiness in general
Would you say that the chess players became "purposeless" with Deep Blue, or Go players with Alpha Go?
It's interesting that you name those examples, because Lee Sedol, the all-time great Go player, retired shortly after losing to Alpha Go, saying: "Even if I become the number one, there is an entity that cannot be defeated... losing to AI, in a sense, meant my entire world was collapsing... I could no longer enjoy the game. So I retired." [1, 2]
So for some, yes. It is of course also true that many people derive self-worth and fulfillment from contributing positively to the world, and AI automating the productive work in which they specialize can undermine that.
[1] https://en.yna.co.kr/view/AEN20191127004800315
[2] https://www.nytimes.com/2024/07/10/world/asia/lee-saedol-go-...
I am in no way disputing that some people would feel that way because of AI, just as some performing classical musicians felt that way in the advent of the audio recorder.
What I am saying is that (1) I regard this as an unhealthy relationship to creativity (and I accept that this is subjective), and (2) that most people do not feel that way, as can be confirmed by the fact that chess, go, and live music performances are all still very much practiced.
I mean yeah apparently so for the OP but I’m sure he did not mean for it to be that way intentionally
I used to feel the same way about AI, but my perspective has completely changed.
The key is to treat AI as a tool, not as a magic wand that will do everything for you.
Even if AI could handle every task, leaning on it that way would mean surrendering control of your own life—and that’s never healthy.
What works for me is keeping responsibility for the big picture—what I want to achieve and how all the pieces fit together—while using AI for well-defined tasks. That way I stay fully in control, and it’s a lot more fun this way too.
I find LLMs fail and fail hard at what might be the most imaginative form of writing: poetry.
Before sending this comment I pecked around the net for examples of gleaming LLM verse.
A few articles claimed human readers preferred AI-brewed poetry to the human stuff. I checked the examples. Clearly most of the people surveyed were underliterate -- the human poems were excellent and the AI poems just creepily bad and simplistic -- so the articles turned into sad and unwitting testament about the state of our culture.
Maybe if you expertly LLM prompt your way to a highly abstract poem, over several iterations you might land something that has some actual feel to it, but even then that might owe more to your prompting talent than the LLM's skill. You could do the same with dice and a dictionary. (Is prompting is essentially editing?)
Please, show me otherwise. If faced with strong contrary evidence, I will be forced to change my mind.
Even if what you said was true, it will be false within months or years.
What then?
This is the whole premise of the article. Just extrapolate and imagine that it can think and write poetry better than you (it will, and likely soon), what then?
It's a very important question. A cultural one.
OP said something similar about writing blog posts when he found himself doing twitter a lot, back in 2013. So whatever he did to cope with tweeting, he can do the same with LLMs, since it seems like he's been writing a lot of blog posts since.
> I’ve been thinking about this damn essay for about a year, but I haven’t written it because Twitter is so much easier than writing, and I have been enormously tempted to just tweet it, so instead of not writing anything, I’m just going to write about what I would have written if Twitter didn’t destroy my desire to write by making things so easy to share.
and
> But here’s the worst thing about Twitter, and the thing that may have permanently destroyed my mind: I find myself walking down the street, and every fucking thing I think about, I also think, “How could I fit that into a tweet that lots of people would favorite or retweet?”
https://dcurt.is/what-i-would-have-written
History rhymes. It’s funny that my problem back then was jamming fully formed thoughts into tweets, and now my problem is developing seeds of ideas into fully formed thoughts.
Perhaps they simply are someone who struggles with finding identity and value in change and adaptation.
Have you read the book if I told you what it was about? Knowing what Crime and Punishment is about is different than reading it yourself. There’s no royal road and no shortcut to knowledge.
Read How To Solve It by Polya. The frustrations, dead ends, and trials are all a part of the process. It’s how we convince ourselves of truth and reinforce our understanding. It develops our curiosity and creativity.
Wow, one day after this post: https://blog.ayjay.org/two-quotations-on-the-brief-dream-of-...
I've noticed something like this as well. A suggestion is to write/build for no one but yourself. Really no one but yourself.
Some of my best writing came during the time that I didn't try to publicize the content. I didn't even put my name on it. But doing that and staying interested enough to spend the hours to think and write and build takes a strange discipline. Easy for me to say as I don't know that I've had it myself.
Another way to think about it: Does AI turn you into Garry Kasparov (who kept playing chess as AI beat him) or Lee Sedol (who, at least for now, has retired from Go)?
If there's no way through this time, I'll just have to occasionally smooth out the crinkled digital copies of my past thoughts and sigh wistfully. But I don't think it's the end.
Yeah there is the personal passion and then the points/likes driven which sucks the joy out
I experienced this when I was younger with my rc planes, I joined some forum and I felt like everything I did had to be posted/liked to have value. I'd post designs/fantasy and get the likes then lose interest/not actually do it after I got the ego bump
I think that's why some writers refuse to talk about their work in progress. If they do, it saps the life out of it. Your ego bump example kind of fits into that.
If relevant, I wrote this in a related discussion: https://news.ycombinator.com/item?id=43912331
A good analogy is lifting. We lift to build strength, not because we need that extra strength to lift things in real life. There are plenty machinery to do that for us. But we do so for the sense of accomplishment of hitting our goals when we least expect it, seeing physical changes, and the feeling that we are getting healthier rather than chasing the utility benefits. If we perceive lifting as an utility, we realize its futile and meaningless. Instead, if we see it as a routine with positive externalities sprinkled on top, we feel a lot less pressured to do so.
As kelseyfrog commented already, the key is to focus on the action, not the target. Lifting is not just about hitting a number or getting bigger muscles (though they are great extrinsic motivators), its more of an action that we derive growth from. I have internalized the act of working out that those targets are baked into the unconscious. I don't overthink when I'm lifting. My unconscious take the lead, and I just follow. I enjoy seeing the results show up unexpectedly. It lets me grow without feeling the constant pressure of my conscious mind.
The lifting analogy can be applied to writing and other effortful pursuits. We write for the pleasure of reconciling internal conflicts and restoring order to our chaotic mind. Writing is the lifting of our mind. If we do it for comparison, then there's no point in lifting, or writing, or many other things we do after all our technological breakthroughs. Doing what we do is a means to an end, not the other way around.
What a coincidence! I think we both commented noting the phenomenon of abundance and the repercussions for us humans at the individual level. Especially from a fulfillment and autonomy point of view.
I lift because since I was a child, I always wanted to look like an Anime character.
Is it working?
My thoughts are that it's key that humans know they will still get credit for their contributions.
E.g. imagine it was the case that you could write a blog post, with some insight, in some niche field – but you know that traffic isn't going to get directed to your site. Instead, an LLM will ingest it, and use the material when people ask about the topic, without giving credit. If you know that will happen, it's not a good incentive to write the post in the first place. You might think, "what's the point".
Related to this topic - computers have been superhuman at chess for 2 decades; yet good chess humans still get credit, recognition, and I would guess, satisfaction, from achieving the level they get to. Although, obviously the LLM situation is on a whole other level.
I guess the main (valid) concern is that LLMs get so good at thought that humans just don't come up with ideas as good as them... And can't execute their ideas as well as them... And then what... (Although that doesn't seem to be the case currently.)
> I guess the main (valid) concern is that LLMs get so good at thought
I don't think that's a valid concern, because LLMs can't think. They are generating tokens one at a time. They're calculating the most likely token to appear based on the arrangements of tokens that were seen in their training data. There is no thinking, there is no reasoning. If they they seem like they're doing these things, it's because they are producing text that is based on unknown humans who actually did these things once.
> LLMs can't think. They are generating tokens one at a time
Huh? They are generating tokens one at a time - sure that's true. But who's shown that predicting tokens one at a time precludes thinking?
It's been shown that the models plan ahead, i.e. think more than just one token forward. [1]
How do you explain the world models that have been detected in LLMs? E.g. OthelloGPT [2] is just given sequences of games to train on, but it has been shown that the model learns to have an internal representation of the game. Same with ChessGPT [3].
For tasks like this, (and with words), real thought is required to predict the next token well; e.g. if you don't understand chess to the level of Magnus Carlsen, how are you going to predict Magnus Carlsen's next move...
...You wouldn't be able to, even just from looking at his previous games; you'd have to actually understand chess, and think about what would be a good move, (and in his style).
[1] https://www.anthropic.com/research/tracing-thoughts-language...
[2] https://www.neelnanda.io/mechanistic-interpretability/othell...
[3] https://adamkarvonen.github.io/machine_learning/2024/01/03/c...
Yes, let's cite the most biased possible source: the company that's selling you the thing, which is banking on a runway funded on keeping the hype train going as long as possible...
I keep going back and forth on this feeling, but lately I find myself thinking "F it, I'm going to do what I'm going to do that interests me".
Today I'm working on doing the unthinkable in an AI-world: putting together a video course that teaches developers how to use Phlex components in Rails projects and selling it for a few hundred bucks.
One way of thinking about AI is that it puts so much new information in front of people that they're going to need help from people known to have experience to navigate it all and curate it. Maybe that will become more valuable?
Who knows. That's the worst part at this moment in time—nobody really knows the depths or limits of it all. We'll see breakthroughs in some areas, and others not.
I just wrote a paper a few days ago arguing that "manual thinking" is going to become a rare and valuable skill in the future. When you look around you, everyone is finding ways to be better using AI, and they're all finding amazing successes – but we're also unsure about the downsides. I hedge that my advantage in ten years will be that I chose not to do what everyone else did. I might regret it, we will see.
If AI is going to be as economically efficient as promised, there is going to be no way to avoid using it altogether. So the trick will be to keep your thinking skills functional, while still using AI for speedup. Like focus in the age of Internet is a rare skill, but not using Internet is not an option either.
Not all processes are the same, though. I strongly suspect any efficiency improvements will come in processes that didn't require much "thinking" to begin with. I use it daily, but mostly as a way to essentially type faster—I can read much faster than I can type, so I mostly validate and correct the autocomplete. All of my efforts to get it to produce trustworthy output beyond this seem to trail behind the efficiency of just searching the internet.
Granted, I'm blessed to not have much busywork; if I need to produce corporate docs or listicles AI would be a massive boon. But I also suspect AI will be used to digest these things back into small bullet points.
I’m so so glad at the end it said “Written entirely by a human” because all the way through I was thinking - absolutely no way does AI come up with great ideas or insights and it definitely would not write this article- it holds together and flows too well (if this turns out to be the joke I’ll admit we’re all now fucked)
Having said that I am very worried about kids growing up with AI and it stunting their critical thinking before it begins - but as of right this moment AI is extremely sub par at genuinely good ideas or writing.
It’s an amazing and useful tool I use all the time though and would struggle to be without.
> But now, when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea, I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought.
I can't relate to this at all. The reason I write, debate, or think at all is to find out what I believe and discover my voice. Having an LLM write an essay based on one of my thoughts is about as "me" as reading a thinkpiece that's tangentially related to something I care about. I write because I want to get my thoughts out onto the page, in my voice.
I find LLMs useful for a lot of things, but using an LLM to shortcut personal writing is antithetical to what I see as the purpose of personal writing.
> But it doesn’t really help me know anything new.
Pursue that, since that's what LLMs haven't been helping you with. LLMs haven't really generated new knowledge, though there are hints of it--they have to be directed. There are two or three times when I felt the LLM output was really insightful without being directed.
--
At least for now, I find the stuff I have a lot of domain expertise in, the LLM's output just isn't quite up to snuff. I do a lot of work trying to get it to generate the right things with the right taste, and even using LLMs to generate prompts to feed into other LLMs to write code, and it's just not quite right. Their work just seems...junior.
But for the stuff that I don't really have expertise in, I'm less discerning of the exact output. Even if it is junior, I'm learning from the synthesis of the topic. Since it's usually a means to an end to support the work that I do have expertise in, I don't mind that I didn't do that work.
For me thinking is kinda like: First draft thought > thinking > 2nd draft thought > thoughtfulness > thought. I suspect a lot of people just need to adjust the frame of their thinking style, LLMs are useful for getting to a more "final thought" quickly, but he says "I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought." - Indeed, to my mind anyway: a complete draft thought. From "when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea" to quality thought typically needs some meaningful time/walking around to gestate into ideas and things worth sharing anyway. LLMs for me are mostly either a) draft thoughts or b) pure work related knowledge transfer - and they work great for those things.
A year ago, I used to journal almost every day. Writing was how I organized my thoughts, found direction, and occasionally uncovered ideas that even surprised me.
But gradually, I started relying on GPT to help me write. At first, it felt efficient. But over time, I noticed I was thinking less. The more I expressed myself through AI, the more my own desire to express started to fade. Now I’m trying to return to my own thinking process again，but it’s much harder than I expected.
This is a byproduct of abundance.
In this case, abundance of cognitive ability.
We say that our food sucks. Yet, our elite athletes would crush Hercules or other God-like figures from our mythology. At the same time, we suffer from obesity.
The answer to the paradox comes from abundance. I don’t know why it happens, but I’ve noticed it on food, information retrieval, and now cognitive capacity.
Think about what happened to our capacity to search information on books. Librarians are masters of organizing chaos and filtering through information. But most of us don’t know a tiny fraction of their knowledge because we grew up with Google.
My hope is that, just like eating healthy is not as pleasurable as processed sugars but it’s necessary for a fit life, we will need to go through the process of thinking healthy even though is not as pleasurable as tinkering with LLM prompts.
This doesn’t mean escapism however. Modern athletes take advantage of the industrial world too, but they’re smart about it. I don’t think thinking will be much different.
I don't agree directly with this, but a variant of it does bother me: will the auto-regressive nature of AI eventually limit the novelty of the ideas humanity can come up with?
So many breakthroughs come from people who work either in ignorance or defiance of existing established ideas. Almost by definition, in fact - to a large extent, everything obvious has already been thought. So to some extent, all the real progress happens in places that violate norms and pre-established logic.
So what's going to happen now if every idea has to run the gauntlet of a supremely intelligent but fully regressive AI? It feels like we could lose a tremendous amount of the potential for original thought from humanity. A good counter argument would be that this has already happened and we're still making progress. I just wonder however if it's a question of degree and that degree matters.
Indeed. Major advancements throughout history often happened because someone looked at a problem differently than traditional approaches.
The AI will have been trained predominantly on the traditional approaches.
I feel AI will be fundamentally limited to regurgitating past ideas and intelligence.
It may at least use a breadth of knowledge to save some people time by helping them avoid repeating work already done.
I’d love to see an AI trained only on knowledge up to 1800 come up with a single invention of the past 200 years. (It won’t happen)
Early on I wondered if things like this might happen.
But for me what has actually happened is almost the opposite, I seem to be experiencing more of a "tree of thoughts" with the ability to now perform rapid experimentation down a given branch, disposing branches that don't bare fruit.
I feel more liberated to explore creative thoughts than ever. I spend less time on the toil needed both bootstrap my thought process and to fending off cognitive dissonance when the feeling of sunk cost creeps in after going too deep down the wrong path.
I wonder if it's just perhaps a difference in how people explore and "complete" their thoughts? Or am I kidding myself and actually getting dumber and just fail to see it?
> disposing branches that don’t bear fruit
Disposing branches that the LLM convinces you won’t bear fruit.
The Next Big Thing doesn’t exist yet. At least not in any LLM models. If someone thinks of the NBT, asks LLM about it, and LLM’s model says “impossible”, this could squander innovation.
I appreciate your thoughts and definitely share some of your sentiments. But don’t underestimate the value and importance of continuing to be a creative.
Something I’ve been thinking about lately is the idea of creative stagnation due to AI. If AI’s creativity relies entirely on training from existing writing, anrchitecture, art, music, movies, etc., then future AI might end up being trained only on derivatives of today’s work. If we stop generating original ideas or developing new styles of art, music, etc., how long before society gets stuck endlessly recycling the same sounds, concepts, and designs?
Something I'm on the fence about, but just trying to figure out from observation, is whether the AI can decide what is worthwhile. It seems like most of the successes of AI that I've seen are cases where someone is tasked with writing something that's not worth reading.
Granted, that happened before AI. The vast majority of text in my in-box, I never read. I developed heuristics for deciding what to ignore. "Stuff that looks like it was probably generated" will probably be a new heuristic. It's subjective for now. One clue is if it seems more literate than the person who wrote it.
Stuff that's written for school falls into that category. It existed for some reason other than being read, such as the hope that the activity of writing conferred some educational benefit. That was a heuristic too -- a rule of thumb for how to teach, that has been broken by AI.
Sure, AI can be used to teach a job skill, which is writing text that's not worth reading. Who wants to be the one who looks the kids in the eye and explain this to them?
On the other hand, I do use Copilot now, where I would have used Stackoverflow in the past.
I recently finished my PhD studies in social sciences. Even though it did not lead me to career improvements as I initially expected, I am happy I had the opportunity to undertake an academic endeavor before LLMs became cheap and ubiquitous.
I bring up my studies because what the author is talking about strikes me as not having been ambitious enough in his thinking. If you prompt current LLMs with your idea and find the generated arguments and reasoning satisfactory, then you aren't really being rigorous or you're not having big enough ideas.
I say this confidently because my studies showed me not only the methods in finding and contrasting evidence around any given issue, but also how much more there is to learn about the universe. So, if you're being rigorous enough to look at implications of your theories, finding datapoints that speak to your conclusions and find that your question has been answered, then your idea is too small for what the state of knowledge is in 2025.
This feels off, as if thinking were like chess and the game is now solved and over.
What if you could turn your attention to much bigger things than you ever imagined before? What if you could use this new superpower to think more not less, to find ways to amplify your will and contribute to fields that were previously out of your reach?
I fully agree. I for one am excited about a future in which we can take on bigger challenges. With (good) LLMs, we won't need to spend as much time thinking about "how" to get things done, and can spend more time lucidly deciding "what" we want done.
> The fun has been sucked out of the process of creation because nothing I make organically can compete with what AI already produces—or soon will.
I find immense joy and satisfaction when I write poetry. It's like crafting a puzzle made of words and emotions. While I do enjoy the output, if there is any goal it is to tap into and be absorbed by the process itself.
Meanwhile, code? At least for me, and to speak nothing of those that approach the craft differently, it is (almost) nothing but a means to an ends! I do enjoy the little projects I work on. Hmm, maybe for me software is about adding another tool to the belt that will help with the ongoing journey. Who knows. It definitely feels very different to outsource coding than to outsource my artistic endeavors.
One thing that I know won't go away are the small pockets of poetry readings, singer-songwriters, and other artistic approaches that are decidedly more personal in both creation and audience. There are engaged audiences for art and there are passive consumers. I don't think this changes much with AI.
Man people are using LLMs much differently from myself. I use it as an answer engine and that’s about where I stop using it. It’s a great tool for research and quick answers but I haven’t found it great for much else.
This is how I use it, as a better google search without SEO spam. I still write everything myself.
In that respect I am not afraid of LLMs making me dumber as I would argue that google search has not made me dumber.
That's exactly what I do as well. Sometimes I stumble upon a question that I know I won't find an answer for just by googling, so it's easier to formulate it fully to an AI. In some cases it's like a more convenient search engine, where I'm pretty sure I will get an answer to my question without needing to trick the engine with a good query. Which is rather tedious more often than not.
It’s a faster Google search
in life and with people I think about a car, knowing when to go and when to stop
some people are all go and no stop. we call them impulsive.
some people may LOOK all go but have wisdom (or luck) behind the scenes putting the brakes on. Example: Tom Cruise does his own stunts, and must have a good sense for how to make it safe enough
What this author touches on is a chief concern with AI. In the name of removing life friction, it removes your brakes. Anything you want to do, just ask AI!
But should you?
I was out the other day, pondering what the word "respect" really means. It's more elusive than simply liking someone. Several times I was tempted to just google it or ask AI, but then how would I develop my own point of view? This kind of thing feels important to have your own point of view on. And it's that we're losing - the things we should think about in this life, we'll be tempted to not anymore. And come out worse for it.
All go, no brakes
[dead]
AI has been really interesting. I definitely feel its benefits when I want to cram some learning in. On the other hand, it has introduced a new and novel issue for me that feels an awful lot like imposter syndrome. This sounded like the same issue.
Perhaps we will now suffer from AI-mposter syndrome as well. Ain't life wonderful?
Familiar scenario. One thing that would help is to use AI as someone you are having a conversation with.
(most AIs need to be explicitly told before you start this). You tell them not to agree with you, to ask more questions instead of providing the answers, to offer justifications and background as to why those questions are being asked. This helps you refine your ideas more, understand the blind spots, and explore different perspectives. Yes, an LLM can refine the idea for you, especially if something like that is already explored. It can also be the brainstorming accessory who helps you to think harder. Come up with new ideas. The key is to be intentional about which way you want it. I once made Claude roleplay as a busy exec who would not be interested in my offering until i refined it 7 times (and it kept offering reasons as to why an AI exec would or would not read it).
You are in a maze of twisty little passages that are not the same. You have to figure out which ones are not. Try this. The world is infinitely complex. AI is very good at dealing with the things it knows and can know. It can write more accurately than I can, spell better. It just takes stuff I do and learns from my mistakes. I'm good with that. But here is something to ask AI:
Name three things you cannot think about because of the language you use?
Or "why do people cook curds when making cheese."
Or how about this:
"Name three things you cannot think about because of the language you use?"
AI is at least to some extent a artificial regurgitarian. It can tell you about things that have been thought. Cool. But here is a question for you. Are there things that you can think about that have not been thought about before?
The reason people cook curds is because the goal of cheese making was to preserve milk, not to make cheese.
What happens to conversation in this case? When groups of people are trained to use LLMs as a crutch for thinking, what happens when people get together and need to discuss something. I feel like the averageness of the thinking would get compounded so that the conversation as a whole becomes nothing but a staging ground for a prompt. Would an hour long conversation about the intricacies of a system architecture become a ten minute chatter of what prompts people would want to ask? Does everyone then channel their LLM to the rest of the group? In the end, would the most probable response to which all LLMs being used agree with be the result of the conversation?
I want to see people who used LLMs all their conscious life enter the workforce. It's going to be amazing. I mean soon we'll see people who are essentially raised by LLMs.
Eventually the LLMs get plugged directly into our brains and do all our thinking and lip movements for us. We can all be Sam Altman's meatpuppets.
I wonder if there is any like the cs50.ai for other fields, which acts as a guide by not instantly giving any answer. The one I experiment to have like this experience is by using custom instructions (most of LLMs have this in the settings) wherein I set it to Socratic mode so the LLM will spit out questions to stir ideas in my head.
I feel similar, except not because of AI but the internet. Almost all my knowledge and opinions have already been explained by other people who put in more effort than I could. Anything I'd create, art or computation, high-quality similar things already exist. Even this comment echoes similar writing.
Almost. Similar. I still make things because sometimes what I find online (and what I can generate from AI) isn't "good enough" and I think I can do better. Even when there's something similar that I can reuse, I still make things to develop my skills for further occasions when there isn't.
For example, somebody always needs a slightly different JavaScript front-end or CRM, even though there must be hundreds (thousands? tens-of-thousands?) by now. There are many programming languages, UI libraries, operating systems, etc. and some have no real advantages, but many do and consequently have a small but dedicated user group. As a PhD student, I learn a lot about my field only to make a small contribution*, but chains of small contributions lead to breakthroughs.
The outlook on creative works is even more optimistic, because there will probably never be enough due to desensitization. People watch new movies and listen to new songs not because they're better but because they're different. AI is especially bad at creative writing and artwork, probably because it fundamentally generates "average"; when AI art is good, it's because the human author gave it a creative prompt, and when AI art is really good, it's because the human author manually edited it post-generation. (I also suspect that when AI gets creative, people will become even more creative to compensate, like how I suspect today we have more movies that defy tropes and more video games with unique mechanics; but there's probably a limit, because something can only be so creative before it's random and/or uninteresting.)
Maybe one day AI can automate production-quality software development, PhD-level research, and human-level creativity. But IME today's (at least publicly-facing) models really lack these abilities. I don't worry about when AI is powerful enough to produce high-quality outputs (without specific high-quality prompts), because assuming it doesn't lead to an apocalypse or dystopia, I believe the advantages are so great, the loss of human uniqueness won't matter anymore.
* Described in https://matt.might.net/articles/phd-school-in-pictures/
This is only a problem if one is writing/thinking on things which have already been written about without creating a new/novel approach in one's writing.
An AI is _not_ going to get awarded a PhD, since by definition, such are earned by extending the boundaries of human knowledge:
https://matt.might.net/articles/phd-school-in-pictures/
So rather than accept that an LLM has been trained on whatever it is you wish to write, write something which it will need to be trained on.
I agree, frustration steps in earlier than before because AIs tell you very eagerly that unique thought is already part of its training data. Sometimes I wish one could put an AI on drugs and filter out some hallucinations that'll become main stream next week.
> instantly get a fully reasoned, researched, and completed thought
That's not my experience though. I tried several models, but usually get a confident half-baked hallucination, and tweaking my prompt takes more time than finding the information myself.
My requests are typically programming tho.
If anything, with the right tooling LLMs should improve the quality of our thinking. For example, how much better would your thinking be if you could ask the LLM to reliably figure out all the 2nd and 3rd effects of your ideas, or to identify hidden assumptions.
Agree but LLMs vary. So we need an LLM that really try to reason from first principles.
The article mentions that spell and grammar checking AI was used to help form the article. I think there is a spectrum here, with spell and grammar checking on one end, and the fears the article mentions on the other end (AI replacing our necessity to think). If we had a dial to manually adjust what AI works on, this may help solve the problems mentioned here. The issue is that all the AI companies are trying too hard to achieve AGI, and thus making the interfaces general and without controls like this.
I am envious of folks who get to use AI on daily basis to do productive tasks. My use is very limited to asking it to summarize things to asking to explain LC problems.
If you are in the camp of "ends justify the means" then it makes sense why all this is scary and nihilistic. What's the point doing anything if the outcome is infinitely better done in some other way by some other thing/being/agent?
If the "means justify the ends" then doing anything is its own reason.
And in the _end_, the cards will land where they may. ends-justify-means is really logical and alluring, until I realize why am I optimizing for END?
I understand the depression. I'm a developer (professional) and I make music (ambitious hobby). Both arts heavily in a transformational process.
I'd like to challenge a few things. I rarely have a moment where an LLM provides me a creative spark. It's more that I don't forget anything from the mediocre galaxy of thoughts.
See AI as a tool.
A tool that helps you to automate repetitive cognitive work.
I don't think LLMs replace thinking, but rather elevate it. When I use an LLM, I’m still doing the intellectual work, but I’m freed from the mechanics of writing. It’s similar to programming in C instead of assembly: I’m operating at a higher level of abstraction, focusing more on what I want to say than how to say it.
When I microwave a frozen meal for dinner, I'm still a chef, but I'm freed from the mechanics of preparing and assembling ingredients to form a dish.
You can also use a microwave to bloom spices, or thaw frozen veggies from your home garden, or steam things, or thicken sauces, …
The microwave is a tool with certain useful aspects and certain limitations. It is also a tool which can lead to faster outcomes of things you need to do if the tool didn’t exist. At what point should a chef draw the line in the tools they use? Should I forgo microwaves? What about pressure cookers? Ovens? Surely knives are fair game? Maybe I should knap flint and butcher meat with it and cook over an open campfire — then truly no one can claim I am not a chef.
The writing is the work, though. The words on paper (or wherever) are the end product, but they are not the point. See chapter 5 of Ahrens, Sönke. 2017. How to take smart notes: one simple technique to boost writing, learning and thinking - for students, academics and nonfiction book writers., for advice on how writing the ideas in your own words is the primary task and improves not only writing, but all intellectual skills, including reading and thinking. C. Wright Mills in his 1952 essay, "“On Intellectual Craftsmanship" says much the same thing. Stating the ideas in your own words is thinking.
If you do not know how to say something, you don't know how to say it.
What we need is mental gyms. In modern society there is no need for physical labor but we go to gyms just to keep ourselves healthy.
Similarly in future we will not need mental "labor" but to keep ourselves sharp we need engage in mental exercises. I am thinking of picking up chess again just for this reason.
IMO chess is not the best mental gym. Personally, I've started exercising mental arithmetics
Well said, and such an important point.
> Developing a prompt is like scrolling Netflix, and reading the output is like watching a TV show.
That line really hits home for me.
Reminds me of this:
“There are no shortcuts to knowledge, especially knowledge gained from personal experience. Following conventional wisdom and relying on shortcuts can be worse than knowing nothing at all.” ― Ben Horowitz
AI is far better in style than in substance. That is, an AI-written solution will have all the trappings of expertise and deep thought, but frankly is usually at best mediocre. It's sort of like when you hear someone make a very eloquent point and your instinct is to think "wow, that's the final word on the subject, then!" ... and then someone who actually understands the subject points out the flaw in the elegant argument, and it falls down like a house of cards. So, at least for now, don't be fooled! Develop expertise, be the person who really understands stuff.
Are we going to see a small market for artisanal thought emerge?
Think Bigger. As the LLM's capability expands use it to push yourself outside your comfort zone every now and then. I have done some great fun projects recently I would have never thought of tackling before
Ok, nice article. Now prove an AI didn’t write it.
As a matter of fact I’m starting to have my doubts about the other people writing glowing, longwinded comments on this discussion.
> All of my original thoughts feel like early drafts of better, more complete thoughts that simply haven’t yet formed inside an LLM
I would like access to whatever LLM the author is using, because I cannot relate to this at all. Nearly all LLM output I've ever generated has been average, middle-of-the-road predictable slop. Maybe back in the GPT-3 days before all LLMs were RLHF'd to death, they could sometimes come up with novel (to me) ideas, but nowadays often I don't even bother actually sending the prompt I've written, because I have a rough idea of what the output is going to be, and that's enough to hop to the next idea.
99% (or more?) of human written work is filler/fluff. LLMs seem to doing a great job of reducing this by actually getting to the point.
There is still a limit at which “points” can be groked, humans can only read so fast.
What is the problem here?
The apologists be damned. This article nails it. A grand reduction. Not a bicycle; a set of training wheels.
Where is the dignity in all of this?
You are in a maze of twisty little passages that are not the same. You have to figure out which ones are not.
Try this. The world is infinitely complex. AI is very good at dealing with the things it knows and can know. It can write more accurately than I can, spell better. It just takes stuff I do and learns from my mistakes. I'm good with that. But here is something to ask AI:
"Name three things you cannot think about because of the language you use?"
Or "why do people cook curds when making cheese."
Or how about this:
"Name three things you cannot think about because of the language you use?"
AI is at least to some degree an artificial regurgitarian. It can tell you about things that have been thought. Cool. But here is a question for you. Are there things that you can think about that have not been thought about before or that have been thought about incorrectly?
The reason people cook curds is because the goal of cheese making was (in the past) to preserve milk, not to make cheese.
I really don't understand your point. This in nonsense to me.
I admittedly don't use AI as much as many others here, but I have noticed that whenever I take the time to write a hopefully-inciteful response in a place like Reddit, I immediately get people trying to dunk on me by accusing me of being an AI bot.
It makes me not want to participate in those communities (although to be honest, spending less time commenting online would probably be good for me).
It'a vicious cycle. As AI gets better at writing, more people will rely on it to write for them, and as more AI content gains prominence, more people will tend to ape its style even when they do write something for themselves.
Have not resonated with an article for a long time until this one.
Have you tried writing this article on .. AI? *scnr
True. Now compare that to the creation of the universe and feel your insignificance of never being able to match it's creation in any form. Try to create the code that creates blades of grass. Good luck creating life. AI for all it's worth is a toy. One that shows us our own limitations but replace the word AI with God and understand that we spend a lot of time ruminating over things that don't matter. It's an opinion, don't kill me over it. But Dustin has reached an interesting point. What's the value of our time and effort and where should we place it? If the tools we create can do the things we used to do for "work" and "fun" then we need to get back to doing what only humans were made for. Being human.
> But now, when my brain spontaneously forms a tiny sliver of a potentially interesting concept or idea, I can just shove a few sloppy words into a prompt and almost instantly get a fully reasoned, researched, and completed thought. Minimal organic thinking required.
No offense, but I've found that AI outputs very polished but very average work. If I am working on something more original, it is hard to get AI to output reasoning about it without heavy explanation and guidance. And even then, it will "revert to the mean" and stumble back into a rut of familiar concepts after a few prompts. Guiding it back onto the original idea repeatedly quickly uses up context.
If an AI is able to take a sliver of an idea and output something very polished from it, then it probably wasn't that original in the first place.
> My thinking systems have atrophied, and I can feel it.
I do understand where the author is coming from. Most of the times, it is easy to read an answer---regardless of whether it is right/wrong, relevant or not---than think of an answer. So AI does take that friction of thinking away.
But, I am still disappointed of all this doom because of AI. I am inclined to throw my hands and say "just don't use it then". The process of thinking is where the fun lies, not in showing the world I am better or always right than so and so.
This person should probably read pre-Internet books, discover or rediscover that the bar for passable expression in text is very low compared to what it was.
Most of that 'corpus' isn't even on the Internet so it is wholly unknown to our "AI" masters.
This resonates with me deeply.
I used to write open source a lot but lately, I don't see the point. Not because I think LLMs can produce novel code as good code as me or will be able to in the near future. But because any time I come up with a new solution to something, it will be stolen and used without my permission, without giving me credit or without giving users the rights I give them. And it will be mangled just enough that I can't prove anything.
Large corporations were so anal about copyright that people who ever saw Microsoft's code were forbidden from contributing to FOSS alternatives like wine. But only as long as copyright suited them. Now abolishing copyright promises the C-suite even bigger rewards by getting rid of those pesky expensive programmers, if only they could just steal enough code to mix and match it with enough plausible deniability.
And so even though _in principle_ anybody using my AGPL code or anything that incorporates my AGPL code has the right to inspect and modify said code; yet now tine fractions of my AGPL code now have millions or potentially billions of users but nobody knows and nobody has the right to do anything about it.
And those who benefit the most are those who already have more money than they can spend.
> This post was written entirely by a human, with no assistance from AI. (Other than spell- and grammar-checking.)
That’s not what “no assistance” means.
I’m not nitpicking, however - I think this is an important point. The very concept of what “done completely by myself” means is shifting.
The LLMs we have today are vastly better than the ones we had before. Soon, they will be even better. The complaint he makes about the intellectual journey being missing might be alleviated by an AI as intellectual sparring partner.
I have a feeling this post basically just aliases to “they can think and act much faster than we can”. Of course it’s not as good, but 60-80% as good, 100x faster, might be net better.
My way out of this was to start thinking about what can't the LLMs of the world do and my realization was actually quite simple and quite satisfying.
What LLMs can't replace is network effects. One LLM is good but 10 LLMs/agents working together creating shared history is not replaceable by any LLM no matter how smart it becomes.
So it's simple. Build something that benefit from network effects and you will quickly find new ideas, at least it worked for me.
So now I am exploring ex. synthetic predictions markets via https://www.getantelope.com or
Rethinking myspace but for agents instead like: https://www.firstprinciple.co/misc/AlmostFamous.mp4
AI want's to be social :)
There's quite a dichotomy going on in software development. With AI, we can all create much more than we ever could before, and make it much better and even in much less time, but what we've lost is the sense of pride that comes with the act of creating/coding, because nowadays:
1) If you wrote most of it yourself then you failed to adequately utilize AI Coding agents and yet...
2) If AI wrote most of it, then there's not exactly that much of a way to take pride in it.
So the new thing we can "take pride in" is our ability to "control" the AI, and it's just not the same thing at all. So we're all going to be "changing jobs" whether we like it or not, because work will never be the same, regardless of whether you're a coder, an artist, a writer, or an AD agency fluff writer. Then again pride is a sin, so just GSD and stop thinking about yourself. :)
Maybe, but will anyone understand what they are creating?
Right. In the near term, I'm predicting a dramatic decline in software quality, because code was never understood and tested properly. In the future we will have better processes, and better ways of letting AI do it's own checking/validation, but that's lagging right now.
It'll be interesting to see a society where there's a big negative incentive to actually sitting down and understanding how things work, in the name of efficiency.
I've already noticed I'm getting lazy, because of AI, and other developer friends say they are also. I'd rather explain to an AI what I want done, instead of actually writing the code, just because it's easier to explain it than do it.
>>the process of creation >>my original thoughts >>I’d have ideas
As far as I can tell, LLMs are incapable of any of the above.
I'd love to hear from LLM experts how LLMs can ever have original ideas using the current type of algorithms.
"AI could probably have written this post far more quickly, eloquently, and concisely. It’s horrifying."
ChatGPT write that post more eloquently:
May 16, 2025 On Thinking
I’ve been stuck.
Every time I sit down to write a blog post, code a feature, or start a project, I hit the same wall: in the age of AI, it all feels pointless. It’s unsettling. The joy of creation—the spark that once came from building something original—feels dimmed, if not extinguished. Because no matter what I make, AI can already do it better. Or soon will.
What used to feel generative now feels futile. My thoughts seem like rough drafts of ideas that an LLM could polish and complete in seconds. And that’s disorienting.
I used to write constantly. I’d jot down ideas, work them over slowly, sculpting them into something worth sharing. I’d obsess over clarity, structure, and precision. That process didn’t just create content—it created thinking. Because for me, writing has always been how I think. The act itself forced rigor. It refined my ideas, surfaced contradictions, and helped me arrive at something resembling truth. Thinking is compounding. The more you do it, the sharper it gets.
But now, when a thought sparks, I can just toss it into a prompt. And instantly, I’m given a complete, reasoned, eloquent response. No uncertainty. No mental work. No growth.
It feels like I’m thinking—but I’m not. The gears aren’t turning. And over time, I can feel the difference. My intuition feels softer. My internal critic, quieter. My cleverness, duller.
I believed I was using AI in a healthy, productive way—a bicycle for the mind, a tool to accelerate my intellectual progress. But LLMs are deceptive. They simulate the journey, but they skip the most important part. Developing a prompt feels like work. Reading the output feels like progress. But it's not. It’s passive consumption dressed up as insight.
Real thinking is messy. It involves false starts, blind alleys, and internal tension. It requires effort. Without that, you may still reach a conclusion—but it won’t be yours. And without building the path yourself, you lose the cognitive infrastructure needed for real understanding.
Ironically, I now know more than ever. But I feel dumber. AI delivers polished thoughts, neatly packaged and persuasive. But they aren’t forged through struggle. And so, they don’t really belong to me.
AI feels like a superintelligence wired into my brain. But when I look at how I explore ideas now, it doesn’t feel like augmentation. It feels like sedation.
Still, here I am—writing this myself. Thinking it through. And maybe that matters. Maybe it’s the only thing that does.
Even if an AI could have written this faster. Even if it could have said it better. It didn’t.
I did.
And that means something.
I've had the same experience but with drawing. What's the point when AI can generate perfect finished pieces in seconds? Why put all that effort in to learning and drawing something. It's always been hard for me but it used to feel worth it for the finished piece, but now you can bring a piece of computer art into being with a simple word prompt.
I still create, I just use physical materials like clay and such, to make things that AI can't yet replicate.
AI won't create something perfect or even better. And to the extent we enjoy creating for its own sake that's still there. But it's true that real creators will have a harder time being seen by others when there's an ocean of slop being shoved down our throats by parties with endless budgets.
Agreed. I keep seeing posts where people claim the output is all that really matters (particularly with code), and I think that's missing something deeply fundamental about being human.
Peak Hacker News material
[dead]
[dead]
[dead]