We need to remember the people, that we may never talk to, that are downstream of all of this software. Not necessarily “the users” as there are many pieces of software meant for other devs, but I think the users deserve consideration nonetheless.
Handing over software quality to the stochastic code extruder is causing a sharp drop in the quality of software put out into the world. This is on top of all of the problems that existed before LLMs, like human error and perverse financial incentives. Shipping poor quality and user hostile software actually hurts people. Real people. Harm is caused in both big and little ways to living, breathing actual people. This “inevitable” slide into generative AI harms every single person it comes into contact with. The devs, the users, the investors, everyone. Those harms may happen at different times and in different ways and the creeping nature of it all might make it easier to ignore, but it’s happening.
“AI” is a blight. You can leave me behind as well.
I genuinely don't know if that's true and I doubt you do, either. It's all feels right now.
What I do know is I run a couple of personal projects and I can say they are of objectively higher quality now that I'm using AI to build out proper CI pipelines, expand test coverage, produce higher quality architectures, etc.
Why?
Because in the past I didn't have the capacity to invest in that kind of hardening, but with AI, now I do.
Of course you'll probably make the claim that my code is probably crap, the tests suck, etc, because you've already made up your mind. But having been in the industry for 25 years, I can tell you definitively that you'd be wrong about that.
Now, what'll happen to the median codebase? God only knows. Maybe I'm especially diligent.
But given we're really only 6-12 months into the agentic coding era, I think the only conclusion you can make is that the jury is still out.
I absolutely have deeply mixed feelings about these tools, the ethics associated with them, the impact on the industry, on the talent pipeline, etc.
But I also can't deny that they are incredibly powerful tools that are here to stay in one form or another.
And I say that as someone who, a year ago, was absolutely convinced that they were incremental at best and scoffed at everyone who said something like "yeah but they're so much better now!" or "they're only going to get better!"
Well, they were right, they did, and the world has changed. AI generated code is landing in the Linux kernel. 250+ security holes were found and fixed in Firefox. The impact is here and now, and it's mixed and ugly and complicated.
The amount of slop produced even in company setting is staggering and I don't like it one bit that neither the submitter nor the reviewer of the PR paid due dilligence. And I am only complaining because it then becomes my problem. So, then I have to start nagging people to clean that up. I can say with 100% certainty that the problems I face now would not have happened without LLMs.
That said, used with care, with proper supervision, with dilligence to review what LLMs did, I still think they can be and are beneficial.
I think that we are just not used to getting results of questionable quality from the tools we use. So, I am hopeful that we will learn and it will improve with time but still find myself dreading the age of the vibe coder.
I also think reading and reviewing code is a skill that connected to but very much independent of the writing of code, and the use of coding agents requires us to be far more skilled and diligent at it.
So put another way, people who were good as coding the old fashioned way may in fact be a poor fit for agentic coding, which means the entire industry is experiencing a dislocation between skills we have and skills we need, leading to extremely bimodal outcomes.
The best use case i've seen for AI is people generating random one shot projects for themselves, which is honestly so cool. You can make some basic app that does something very specific, that would have taken objectively a lot longer to make by hand. This is when 'crappy' software is more than good enough for a specific problem
And I say this as somebody who generally has a low opinion of AI generated code and rarely uses it. But it has its place.
Moreover, in my experience helping businesses on this topic; They never defined or made measurable what quality meant in the first place. Then when they finally do figure it out, it turns out that the average repository is a total disappointment in terms of absolute quality.
I couldn't agree more. If you're using AI tools to produce worse software, faster, you should rethink how you are using them.
If we're not delivering better software with this stuff then what are we using it for?
Well, first of all you and the author point to the same derisive comment of these models being, in your words "stochastic code extruder" or the one I have heard a lot "next-token predictors", and the connotation I read from these being that this makes them inherently dumb or unintelligent and I don't understand that. The fact that these "stochastic code extruders" can solve Erdos problems is sort of the proof in the pudding. Next token prediction is profound in that it is _a very simple objective_ yet it is _enough_ to take you to extraordinary heights.
Also I wonder how many folks honestly look in the mirror and think: how does the median programmer differ from an LLM. Do you really think humans are universally better and produce universally higher quality code? Not even universally, I would say _typically_. I would trust an LLM to not write a buffer overflow far more than a junior or a mediocre senior engineer. LLMs have built things in my domain that are non-trivial and impressive and correct.
Not to mention, these systems are following a predictable trend in performance improvement so these worries about quality just won't age well, and it seems to be a head-in-the-sand attitude that pretends like quality and reliability are not getting very very good _already_.
> Shipping poor quality and user hostile software actually hurts people.
Could not agree more. So why do you think humans are inherently better at this?
> This “inevitable” slide into generative AI harms every single person it comes into contact with.
I just don't quite understand this, is it that: (1) agentic code is inherently inferior to human code and thus (2) shipping agentic code is actively harmful?
Same with code: by using AI, one can produce passable software trinkets very cheaply, that would be uneconimical to produce by paying poor-quality human developers.
The floor has moved downwards, allowing to produce a flood of new, trash-quality, disposable code very cheaply. It does not mean that we'll have to use only that code. But unfortunately we'll have to live with it, too.
> Could not agree more. So why do you think humans are inherently better at this?
Because humans are capable of empathy
So many excited and insulted LLM adopters on this thread. There is nothing derisive in that comment, it is simply the purest possible definition of how they work. Stochastics is a branch of maths you know.
> can solve Erdos problems is sort of the proof in the pudding
For the non-engineer, non-mathematician it may sound authoritative, but you'd probably be surprised to learn that most of Erdos problems are not at all complex - they are just not very interesting or relevant. So it is a proof in the pudding, provided the pudding is made of shit - the kind of stuff LLMs produce most of the time.
> I just don't quite understand this, is it that: (1) agentic code is inherently inferior to human code and thus (2) shipping agentic code is actively harmful?
Yes and yes - have you not heard of that AWS incident with Kiro when the "agentic" shit deleted an entire infrastructure environment, complete with data, config, etc.?
> Also I wonder how many folks honestly look in the mirror and think: how does the median programmer differ from an LLM
Apart from the obvious absurdity of this statement - I know a lot of you non-engineer types feel "empowered" by the LLMs, in the sense of how they immediately seem a genius when you ask them on a topic you are not expert in, but you may want to read a book on programming first - maybe you'll get a clue then.
neither excited nor insulted.
> There is nothing derisive in that comment, it is simply the purest possible definition of how they work. Stochastics is a branch of maths you know.
Not sure what you mean by stochastics but this is more statistics. They are trained with a next token loss, that doesn't belie "how they work".
> For the non-engineer, non-mathematician it may sound authoritative, but you'd probably be surprised to learn that most of Erdos problems are not at all complex - they are just not very interesting or relevant.
It sounds like you are both an engineer and a mathematician? Can you confirm? These are problems unsolved for many years. You think no good mathematicians have taken a stab at them, even if just to say they have resolved an unsolved Erdos problem? They are "not at all complex" is quite an extraordinary thing to say I'm wondering if you actually do have the pedigree you are trying to make it sound like you have, or if you are just regurgitating the same HN talking points you've heard.
> Yes and yes - have you not heard of that AWS incident with Kiro when the "agentic" shit deleted an entire infrastructure environment, complete with data, config, etc.?
And this means agentic code is inherently inferior to human code? Howso?
> Apart from the obvious absurdity of this statement - I know a lot of you non-engineer types feel "empowered" by the LLMs, in the sense of how they immediately seem a genius when you ask them on a topic you are not expert in, but you may want to read a book on programming first - maybe you'll get a clue then.
in the beginning you mentioned there were a lot of "excited and insulted LLM adopters" and yet...this sounds quite excited and defensive. Believe it or not, I am not a "non-engineer type" and its telling you assume that people who don't seem to share the same opinion as you are somehow less qualified than I assume you think you are? Why is this statement obviously absurd. Maybe you work in a really talented engineering team, which kudos to you I also have worked in teams like this, and I have also seen what is the p50 engineer and they are just as error prone or more than Claude. Thank you for the advice to read a book on programming as if that somehow would have any bearing on this at all?
For me, AI is the first time I have ever been able to get something resembling an opinion on specific problems/situations that I encounter. I can ask it a very specific question about what the best approach is for what I am working on and it can give me an answer that I read over and consider before deciding on what approach to take. I still frequently get answers that are nonsense, but even then it helps me think deeper on how I should approach the problem because I can ask myself "Are the statements made by the AI true?".
It’s an absolutely fantastic educational tool if you choose to use it that way.
... Put down the duckie[0]?
Unfortunately Twitter pre-acquisition was probably the focal point and since then, I don't think the community has been the same.
I can't wait for the day until all these people collectively snap out of it, and go "what the hell were we thinking with these chatbots".
It is just a tool and a useful one. Your loss for not making use of it, but .. you seem to live on a different timeline. I am reminded of old Japan, where the Samurais banned gun powder, so they could continue to fight with swords and not change their ways of living.
There's a time when the operation of the machine becomes so odious Makes you so sick at heart that you can't take part, you can't even passively take part And you've got to put your bodies upon the gears and upon the wheels Upon the levers, upon all the apparatus and you've got to make it stop And you've got to indicate to the people who run it, to the people who own it That unless you're free, the machine will be prevented from working at all
Even then we have machines doing it all and yet we all function well. I think eventually this would be a tool usage which will take human intelligence to another pinnacle.
I see no indication that current human intelligence is at anything close to a historical pinnacle. Human knowledge, yes, but intelligence? No. Collectively, we're dumb and trending dumber, and the tendency towards lazy thoughtlessness which AI engenders will accelerate that trend.
It really is a remarkable picture, but I'd like to note that it's all physicists, not scientists in general. It was the golden era of physics.
Also, science used to directly correlate with improvements in life standards. Nowadays we see advancements in science (AI, psychology) used to actively reduce the standard of life.
While all those are true they are not reflecting the level of intelligence of people: intelligent people take personal stupid decisions because while intelligence is a function of let's say the more "abstract brain", decisions are emotionally driven and influenced by the "ancient, threat focused, pleasure driven brain".
Here is a quick way to think about this: some intelligent people are obease, some others don't exercise, and others don't take their health seriously while also working on the most amazing problems we ever solved. You know what's the biggest paradox here: they all have the capacity to understand fully the impact of their lifestyle on their health but still making a life style change is hard due to not being driven by knowledge and logic.
Intelligence is the same but for mental faculties. A human is intelligent when they develop their critical thinking, memory, focus, logical reasoning, etc. A human is unintelligent when they fail to develop these things to their personal potential. And when I look around me I see a culture of inustrial-strength distraction that has robbed people of their ability to focus, I see encyclopedias in everyone's pockets that have robbed them of any incentive to remember, I see a society of comfortable complacency that has shielded them from any consequence of poor logical reasoning, and with LLMs I see a mass surrender of the need to exercise critical thinking in exchange for the warm embrace of thoughtlessness.
There's no reason that things need to be this way. The human hardware hasn't fundamentally changed in 100,000 years, and we have so many more resources today that it's easy to imagine that we could all be, collectively, more intelligent than ever if we could somehow inspire people to care. Sadly, we don't seem to be able to.
Like renewables were on track to bring us peak oil, maybe AI will bring us peak human intelligence.
But that shouldn't be any surprise. We're already at more than a hundred years of deliberate dumbing down of the population through schooling and mass media. These effects are exponential through generations.
We are at a peak in absolute terms, though the decline is coming quickly:
https://x.com/jonatanpallesen/status/2034755779501105321
But in relative terms intelligence has indeed been declining for a long time:
> I see no indication that current human intelligence is at anything close to a historical pinnacle. Human knowledge, yes, but intelligence? No. Collectively, we're dumb and trending dumber
Also, I think we (non-scientists) might be overestimating the average historical intelligence - see Flynn Effect [1] - perhaps because of a bias in our perception of the past levels based on who published books and thoughts - basically more intelligent members of our species.
> and the tendency towards lazy thoughtlessness which AI engenders
----------------
[1] https://en.wikipedia.org/wiki/Flynn_effect
[2] Thucydides, History of the Peloponnesian War, 1.20 — 5th c. BCE Greece. “So little pains do the vulgar take in the investigation of truth, accepting readily the first story that comes to hand.”
[3] Aristotle, Rhetoric, 1.2 — 4th c. BCE Greece. https://kairos.technorhetoric.net/stasis/2017/honeycutt/aris.... Aristotle treats public persuasion as necessary partly because ordinary audiences cannot easily follow complex chains of reasoning. He says rhetoric addresses deliberative matters before people “who cannot take in at a glance a complicated argument, or follow a long chain of reasoning.”
[4] Plato, Republic, Book V — 4th c. BCE Greece. https://topostext.org/work/768. Plato distinguishes philosophers from the many “lovers of sights and sounds,” who enjoy appearances but do not apprehend deeper truth. The text says their thought is “incapable” of grasping the underlying form or nature of beauty, and that few attain that deeper vision.
[5] Confucius, Analects, Book 2 — 5th c. BCE China. https://www.chinastory.cn/ywdbk/english/v1/detail/20190722/1.... "Learning without thought is pointless, Thought without learning is dangerous".
[6] Buddhist tradition, Dhammapada, Appamāda-vagga. https://suttacentral.net/dhp21-32/en/sujato. Dhammapada contrasts heedfulness with heedlessness, treating heedlessness as a central human failing. In one translation: “Heedfulness is the state free of death; heedlessness is the state of death. The heedful do not die, while the heedless are like the dead.”
[7] Francis Bacon, Novum Organum, “Idols of the Mind” — 1620. https://history.hanover.edu/texts/bacon/novorg.html. Bacon argues that the “Idols of the Tribe” are rooted in human nature itself, and that human understanding distorts reality like a false mirror.
Excellent question. Global GDP estimates going back to 1 CE are here [1][2]. I would argue that GDP is a good proxy for an estimate of the summation of per-capita intelligence being used for "productive" ends, by definition.
But, the global average GDP per capita is [3] with a similar hockey-stick curve, and it is unclear whether the per-capita intelligence used for "productive" ends has also been increasing similarly, because the confounding factor is the effect of tools as force-multipliers (impact on productivity). The Flynn Effect is the strongest indicator that yes, average intelligence has been rising as measured in certain populations where cultural differences do not wreck the applicability of IQ tests.
[1] https://ourworldindata.org/grapher/global-gdp-over-the-long-...
[2] https://web.archive.org/web/20260525015042/https://ourworldi...
[3] https://ourworldindata.org/grapher/global-average-gdp-per-ca...
> Human knowledge, yes, but intelligence?
of the post you responded to?
Introducing a machine to a manufacturing role obviously makes the manufacturer less fit, but it enables society to break through fitness barriers in general
If your point is that it's not orders of magnitude fitter, that's a good one. I don't think people will be much more intelligent in the future than they are today but they'll probably just be more specialized and have deeper knowledge
The other factor is that we all get significantly less physical activity than before, and obesity is a increasing problem.
And while the first effect is a effect of the machines, it is the latter effect I think most easily maps onto today's situation.
Personally I am quite certain that if you could teleport 100 random 20-year old from 1820 they would be better than 100 random 20-year old today at most physical tests, especially if you gave them food first.
We also know that testosterone levels (which are connected with muscle mass, recovery etc.) are lower today than even few decades back.
I’m not sure what it means if we want the average person to be fitter, it seems like we’d have to reinstitute manual labour if that was the goal.
Which is maybe a good analogy for not using AI in the classroom and forcing kids to use their minds
Mechanical replacement cannot be compared with thought replacement anyway, but the most thoughtless pro-AI comment tends to be at the top.
Think about it: everyone has characterized AI slop, as slop. Which means that we negatively value it in terms of originality. Combine that with the fact that there will be a lot of it, this means that original work will 1. stand out or be very distinct from slop, and 2. have its value amplified as a result of this polarization.
basically, we value originality more AND are able to identify it more readily.
related is also the fact that originality will literally be valuable as training data for future models
Also there have been dozens of HN submissions and comments where the poster didn't even bother to remove the em dashes. Most people just don't care. The people who continue to post like this wouldn't have been as visible had they not discovered AI and pounced on it, but they were always there. The idea of posting with an AI voice, em-dashes and all, would likely have still appealed to them if you'd asked 5-10 years ago. Nowadays it takes hardly any energy for them to have a persistent voice.
Slop has always been around. AI has cheapened its creation.
If something is able to generate things with soul and true originality... we're talking about something incredible, a new intelligent species potentially
think about how in music, when an artist comes out with something original and awesome, and then everyone starts copying it and creating their own derivative works, like Jimi Hendrix or something.
Did Hendrix become useless? Did everyone end up thinking he sucks or something? No, he is even more revered, as the originator of a new type of sound that probably created multiple genres
The same thing applies here. Originality will be valued and even empowered as extrapolation and development off of it can increase in speed and quality in the case you mention
True, but some nuance is that a LOT of artist/creative types lean exclusively on the mechanical skill needed to create, without anything really much to say. They also very frequently copy other's styles, etc.
I'm not defending AI pumping out crap, but this also shows a lot of folks don't have much to offer beyond the mechanical aspects and we shouldn't glorify churning out stuff by hand as high art either.
For example, I want to make:
- A mini OS on top of SeL4
- A UI framework based on SolidJS, for native apps, in rust.
- My own photo manager (which can do backups & sync across all my devices). And a gallery to share photos with friends
- A local first data store, built on top of CRDTs
- My own programming language
And lots more.
Each of these projects on their own would take months of time. If LLMs can speed up development, that's great! I don't care if nobody else uses what I make. I want a personal computer full of my own software.
There are a ton of opportunities available right now to make new things. And make them better, more customizable, and more sovereign.
To the replies: be the change you want to see in the world, guys. That may be trite but focusing only on the negative will just make your own life shitty.
Is it not engineering anymore even if you micromanage and relegate the machine to a better typist, following patterns and doing research around?
For example, the photo backup system I want to make will let me manage my ~400gb photo library. I want my library backed up on a couple devices, running linux and freebsd. I want my mac and iphone to have a local mirror of all the favorited photos, and when I'm at home, I want to be able to browse all photos from those devices by streaming them over the local network. I want native macos & ios app interfaces to view and manage all that.
I don't know any existing software that meets my requirements. I don't think any such software exists. Apple, Dropbox and Google will solve this problem for me if I store all my photos in their cloud and pay them an ongoing subscription for the privilege. I'd much rather make something myself, and back up my photos on my own hard drives.
Making something like this is simple enough, but very time consuming. If claude can take the drudgery out of it, well, I think that's just delightful.
AI is seen as a way out of drudgery but you're just trading one problem for another.
Take woodworking for example. When I build a kitchen cabinet, I can get lumber that's already smooth and treated, I can buy drawer tracks, I can use power tools instead of a handsaw and a screwdriver, I can use a pocket hole jig to make joints easier. I still have to do more planning and assembling than with the Ikea cabinet, which also takes more work than having a contractor do everything for me.
I'm doing it my way because it's fun for me. Other people might enjoy other parts of the process - or different things altogether.
There's a whole spectrum between doing everything from scratch and paying someone to have it done for you.
It's actually quite similar to buying the services of a programmer off Upwork to build something for me, only with LLMs it's way cheaper and faster, with a shorter feedback loop.
What do you think architects do? Or interior designers? Or civil engineers?
You can accomplish most of that by installing Syncthing.
But the objection is that you’re not really building anything new even if you think it’s a new idea. By your definition you’re building for yourself and not sharing…so what good are your little projects. Reading your original list it just seems like you want to build and run software without having to do any research, even if a solution already exists.
Since you said you want to make those things that you list, I assume none of these things have been built yet. If so, I would encourage you to consider how excited you will be to constantly maintain those things you build. But even if the maintainence cycle won't be as exciting, since you are the sole user you have the advantage of being able to proceed at a leisurely pace even while doing maintainence work.
In a professional setting, the dopamine hit of being able to build something quickly that works in an area that you have little to no knowledge in makes you more dependent on the AI in the maintaince cycle as you want to chase that dopamine high by maintaining the same development speed. This in turn leads to a bigger burnout crash after that peak dopamine hit. Maintainence is a phase of diminishing returns even without AI, but when your coding agents are introducing new bugs at record pace with their bugfixes with no new features to write home about you are in a special place in Hell.
I'm all for using AI to build ambitious projects. I have yet to see a person/company/organization continuously release huge software endeavours in a stable professional manner day in and day out with a coding agent harem in tow.
If something like the Ladybird browser, or any browser that is "built by scratch", achieved Chrome parity in six months and consistently maintained the same level of stability with continuous releases then I would see that as proof that this approach has become professionaly sustainable.
The reason people are getting away with so much using AI is because of the open secret in most enterprise engineering practices: the customer cares more about the response time for fixes they report than they do about overall or longterm product quality.
Sure...
https://news.gallup.com/poll/694199/u.s.-depression-rate-rem...
>this would be a tool usage which will take human intelligence to another pinnacle.
Between the endless slop, loneliness and depression epidemics, record low reading comprehension, attention shortage, we're not in any pinnacle today. We're in a regression from a few decades ago, getting worse.
How? It's undermining what the human intellicence is made from, learning.
No it isn't. I still do the thinking on how to solve my problems, I only outsource the tedious part, which is typing the code and fixing the syntax errors till it all compiles and does what I want.
If you also outsource thinking to it, that's your choice though. Or the company's choice. But ultimately the free market will deiced with products made using LLMs outcompete those made without.
I've said this elsewhere before but I single-handedly produced more actual tangible business value with Microsoft Access than anything else since. What was an hour's work is now a procurement process and thousands of lines of tedious configuration and boilerplate that involves pipelines and tens of services all coordinated and hosted by someone who has created a moat to extract money out of me.
All I want is a fucking report.
The LLM makes us blind to the gigantic fucking shit show we built.
Do you really though?
Here's a question: how many times do you visit claude.ai or open Claude Code (or whatever harness you use) (or use whatever model you prefer) to help you solve a problem, ask it a question, etc.?
One thing I've noticed, which seems to go completely unmentioned, is how these LLM tools are like drugs. It can pump out thousands of lines of code ---> it can write my entire program for me ---> I've written quite a few programs with it and I don't write a single line anymore ---> I go to it for what would normally be things I could do on my own. The problem is that this isn't some immediate thing: like a drug, it sneaks up on you and you don't even realize it until it's far, far too late. I've been programming since I was 13 and I've just now started to notice the deskilling that's been happening to me. I've just now started noticing how often I'll visit Claude Web for something I should be able to do on my own. Nobody really seems to mention this, or it's repharsed as a good thing. And I don't get it: how is undergoing cognitive surrender a "good" thing by any metric other than the metric a beancounter would use? What worries me is that I fear this is happening to way, way more people than those who actually bring it up, potentially yourself included, and you just haven't yet realized it because you haven't really thought about it. That is ultimately what this "AI revolution" is going to bring. It's what the billionaires want, and what they want is usually what they get because the systems we've built are set up to not constrain them.
AI is automated irresponsibility, and it is nothing like any earlier transition.
When a technology trend means people literally won’t be able to tell if you are living or dead, and also stop caring about the difference— that’s unprecedented in the history of humans.
How can people say false things like this with a straight face?
Thanks to industrialisation, automation and mass production, the poor of today have access to things that even kings from hundreds of years ago couldn't even fathom, let alone poor people back then: abundant cheap food that poor people can now be fat instead of starve to death, cars, planes, MRI machines, helicopter ambulances, vaccines, personal heating and air conditioning, OZEMPIC, etc
Kings back then would eat hard bread, shit down a vertical shaft that emitted the scent through the whole castle, and their sleeping chambers had ice on the walls in winter and lice in the clothes and bet sheets, plus they had parasites in their gut and any small disease could kill you.
Meanwhile the cool homeless guy outside my building has 3 hot meals a day and a daily shower in the homeless shelter nearby, warm clean sleeping bag for winter, shades for summer, a bicycle for moving around town, a smartphone which he uses to watch youtube all day in his sleeping bag, plus access to medical care that kings of kings never had. All this with no job, and no care in the world.
You can thank people dying in Chinese and African mines to extract the resources to build your planes and MRI machines.
You can thank the people working tirelessly until their hands are crippled in bengladesh to make the cheap clothes that make it seem to your western eyes that a poor person here can live a life of luxury. Those people are constantly invisibilised even as tragedies such as
https://en.wikipedia.org/wiki/Rana_Plaza_collapse
hit them and kills a thousand under your total westoid apathy.
You can thank the Chinese slave labor making iPhones and Macbooks at foxconn for your luxurious electronics being cheap enough for a western wallet. They have suicide prevention nets so that their precious slave labor doesn't die from jumping from their buildings. How amazing.
>the poor of today have access to things that even kings from hundreds of years ago couldn't even fathom
Indeed, the wealth that kings couldn't dream of hundreds of years ago, because kings back then didn't have the power a billionaire can wield today to pollute, enslave and ruin millions of lives at a scale that makes things like the Napoleon wars look like a footnote to history.
>All this with no job, and no care in the world.
This can only happen because the extreme wealth inequality of the world has divided entire countries into classes of people. You are blind to the reality of the humans you are exploiting.
Firstly, industrialization is what led to the abolishment of slavery in the west, because owning machines was making you more money than slaves, and it was the west who fought the seas to stop slavery internationally, to the disappointment of slave owners in Africa who were enslaving their own people before the western slave trade began. So you can stop blaming the west for slavery now. The age of English and Dutch slave trade boats is long gone, we don't have MRI machines because of slaves.
>Those people are constantly invisibilised even as tragedies such as
100% nobody cares because they have their own government who is accountable to them. What should other countries do about it when it's their own government killing them. I also don't expect other countries to care about the deaths and issues in my country since our politicians are to blame, not foreigners.
>You can thank the Chinese slave labor making iPhones and Macbooks at foxconn for your luxurious electronics being cheap enough for a western wallet.
Just a couple of days ago there was a post here on the front page of shipping a used Macbook from Australia to a student in Ghana. It's precisely because western investments in technology and Chinese mines and sweatshop factories that people in countries like Ghana can have cheap laptops and cheap smartphones to access the internet and gain higher education for well paying IT jobs on the international market. So thank you and you're welcome.
>This can only happen because the extreme wealth inequality of the world has divided entire countries into classes of people.
Humans were always divided into classes of people ever since human species existed, they were never equal and they never will be equal, this is a human trait, not something billionaires created, they were just the best today at rising to the top within this human inequality system that has always existed and will always exist.
Need I remind you communism also existed based on the ideals of equalizing everyone, and so everyone was equally poor, except of course the ruling elites.
If anyone could use a history or anthropology lesson, it is you.
What you stated is simply not true, and we have plenty of ethnographical and archeological evidence for that.
You simply repeat ideology of the current times.
Last but not least, your parent speaks of dividing whole countries into classes. I don't know what billionaires have to do with it.
1. None of that is necessary to having planes and MRI machines, so what you're replying to is basically correct,
or
2. We should rouse ourselves from apathy in order to give up planes and MRI machines, and even out the poverty, which is eternal.
Have you ever been without a job and/or homeless to say shit like this?
Also, how nice of you to ignore my entire argument on how the poor today are NOT as poor as they were hundreds of years ago, and instead sidetrack the conversation one offtopic tangent for a cheap jab in the name of scoring some emotional virtue signaling brownie points.
Thanks to colonialism, also in more modern form called globalism.
> Kings back then would eat hard bread, shit down a vertical shaft that emitted the scent through the whole castle, and their sleeping chambers had ice on the walls in winter and lice in the clothes and bet sheets, plus they had parasites in their gut and any small disease could kill you.
Wealth has no intrinsic value, only relative one. You are only wealthy relatively to other members of the society. Doesn't matter if pharaohs had less comfortable lives than me. What matters is that a gap between pharaoh and a worker working on pyramids was way smaller than between Jeff Bezos and person working at the Amazon distribution center.
Also, most sweet fruits of progress that its prophets like to enumerate are not direct consequences of technological changes, but they came only after political struggle that has arisen exactly because the direct consequences were very dire for most people. If people pushing today for AI could decide on these things, they would be very happy to take away these hot meals from homeless people and let them starve to death.
You don't have to participate in globalism, you can be a hermit state that doesn't trade with the evil imperial capitalists, like Cuba and North Korea. Everyone wants to live there because the QoL is so good.
QoL is so good here precisely because it is so poor out there.
Machinists and lathe operators became CNC operators, they didn't lose their jobs, just that instead of turning the inputs by hand, they punch numbers in a machine, but the advent of CNC didn't mean anyone off the street can now punch numbers in the machine and replace the machinists since you still need the years of training and experience.
SW devs will be the new CNC operators, about knowing what data to input and how to wrangle the slop machine to get the desired output faster and better than your competition.
For now. Will that be true in 12 months? 4 years?
If you're a programmer, your skills have been devalued significantly in the last 12 months. What makes you think the remaining value you offer will be required 12 months from now?
I don't have any - thinking is the only non-cattle job left for humans to do; if we outsource thinking for all of humanity, we're an evolutionary dead-end.
I don't have a crystal ball. In 4 years whoever is US president might start another war and fuck the whole planet back to the stone age. Nobody will know what will happen in 4 years so why worry about it?
For me, building software has often been a solitary process in which I was far more obsessed with it than those around me. I'm not in a tech-heavy area and I don't have a ton of well-informed people to talk to about programming, software engineering, or AI. I have had experiences like the author in which I needed to learn a new technology or a new language but ended up doing so on my own at home, not with the assistance of a much more knowledgeable developer with significantly more experience.
To me LLMs have left us in a situation where the following things are true and moving forward lies somewhere in figuring out how to reconcile / resolve these things:
- You can use LLMs and learn things or not learn things; this is a result of the approach, desire, and willpower of the user.
- There is a level of skill associated with using LLMs much like nearly everything else in existence. The user's skill level impacts their perception of the technology and also affects the way those around them view the technology. Unskilled users will generate more negative sentiment.
- Some people love to do the things the machine is good at and do not want the machine to do them, while others hate to do the things the machine is good at and want the machine to do them. I realized at some point this year that I don't love programming anywhere near as much as I love building and designing systems and solving problems.
- Software development is many things wrapped up in one and talking about it as a single thing makes it more confusing. Some people like to think through the logic of the application and have an LLM write the code while others want the LLM to think up the solution, implement it, and test it. These are two very different people with likely different goals and different desires.
- When someone else looks at Claude or ChatGPT they might see something completely different than what you see.
I hope some of this resonates with others.
And this has held me up in good stead.
Now with AI, I've found a tool from which I can learn, show me the right way to do things, and explain in detail what has been done. I can ask questions, point out mistakes, go back and forth on different implementations and at the end of it, come out a better programmer.
As many commentators have mentioned, AI means different things to different people. For me, it has been empowering, enlightening, and humbling.
There have always been so many things to learn, but never enough time. Now, it doesn't quite feel that way.
I'm all for open models, open source agents, etc. I don't want to give more power to the big corps, though. Imagine what software engineering could become in 5 years if all thse big corporations gain even more power over us. It's a terrifying scenario (e.g., pay more so we don't show you ads in between claude code prompts; pay more so that the produced code doesn't incrust ads in your app...). Do you really want the same shitty experience we have now in the global internet, but deeply ingrained in your software engineering workflows?
Even in regards to programming competency and the culture of vibecoding, it's similar to the early stages of electric cars where they fill some roles better than ICE engines, but it's still a decade away from doing the same job. And the whole time there was people trashing electric cars as a novelty/impractical/expensive/dangerous/etc because the infrastructure wasn't there yet and the technology was immature.
The only real moat pattern we see is datacenters being hotly in demand but even those will scale up and commoditize, RAM manufacturing will catch up etc.
You can experiment with different agent harnesses (pi, hermes, opencode, goose, ..) do experiemnets with gastown and paperclip ai.
I also get a lot of fun at experimenting with ideas i have and had were the focus is not the pure programming language but the application.
But i do think and we will see, as soon as there are clear winners of agentic platforms, we will finetune and adjust these agents.
>>It (software development) is sincerely an art form; A craft that takes >>dedication, perseverance and especially, a strong community to endure. >>Software was built by humans, for humans.
100 years ago, you could only buy furniture made by crafts people. Real artisans. Now you have a choice: IKEA or hand made Most people choose IKEA because they don't care how it was made, as long as it does the job There are still those who prefer hand made furniture, and they pay a pretty penny for it. I think that's where this is heading, and I agree it's unfortunate. Software development will become a hobby (many people do wood working in their spare time). There will be a few real experts left, who largely do consulting. Maybe they create training data? Maybe they design frameworks for the AI to master. I don't know. But things sure are going to be different from here on out, and not entirely for the better.
>>If it’s not built by humans, then who is it being built for?
Right now it's built by AI for humans (and sometimes other AI). Very soon it'll be built by AI for other AI (and sometimes humans). Later it'll be built by AI primarily for AI (rarely humans).
Perhaps check in your country if that isn’t true as well, people automatically assume IKEA killed all local shops, but there are many out there if you search for them.
"If you let AI do your writing, I will come to your house and kill you"
Thank you for posting.
What's it about is once you remove the paycheck that all proletariats need when things get "interesting".
You get some AI-slop like this:
> Your AI email deliverability specialist that tests and fixes your emails — backed by a Top-Rated expert.