IMO the fact that something's become very mainstream doesn't necessarily mean it's been watered down for everybody. There will always be people with various levels of curiosity and enthusiasm.
I'm not sure things are very different now.
I find the current expectations around consumer "apps" to be totally infantile in comparison, where everything is now a single-purpose "app" that does exactly one thing when you push a button, and if you want something even a tiny bit different.. you can't, and that even basic things like files and settings are no longer accessible.
There's nothing new about this particular progression - we've been through it in dozens of technologies already.
"The difficulty was the knowledge. You came to know that machine the way you come to know anything that pushes back. The resistance was the whole medium. You only ever know the things that you can lose to."
We who grew up in this era formed a hands-on engineer's knowledge of these systems, built from experience and practice, learning these layers of abstraction as the bleeding edge developed. Many these days have entered into a world where there are easy answers abound, they just might not be right, and one has to gauge how much they care about correctness.
But I also see that the people who can create the absolute most and the good things and the working things and the maintainable things nowadays are the people that have gained a tool, but not lost the knowledge of the medium we are using it on because we are tied to this old world so perfectly put under the spotlight in this blog post.
We could do this forever.
We have never before seen every single profession disrupted to this degree, not even the introduction of the personal computer introduced such a dramatic shift
That's wrong, and that's exactly why the loss of knowledge is such a problem. LLMs do not, and cannot, actually know a single thing. They are a statistical model, not knowledge. When they give out wrong information (and they always will, by their very nature), you need someone with actual knowledge to be able to recognize the BS and correct it. But we are losing the knowledge, and unless things change we will be no better off than the people in dystopian sci-fi stories who pray to the machine god because nobody knows how it actually works.
Sounds like absolutely horrifying dystopia.
There have always been layers of abstraction. I've been around for a while, and when I was a kid, the two choices I remember seeing were assembly code and simple semantic languages like BASIC.
Assembly seemed like too cryptic for me to really even follow and I never really did learn it, but at the time I remember people would say that assembly was easy and basically plain English compared to machine code.
As recently as fifteen or twenty years ago, I would occasionally check in and think of how unbelievably far away we had gotten from how the computer actually works. Like, you can just write "open window" and a window opens. Amazing.
Of course, those people writing machine code didn't need to really understand what P and N were in a transistor, let alone how an integrated circuit pulls it all together. And I'm not sure how much those guys knew about silicon dioxide.
The more complex things get and the more layers of abstraction there are, the more impossible it gets to really master things all the way down to first principles.
So what? People can carve out whatever chunk of the stack they want to really understand if they want to focus their lives on it. And for everyone else who's just trying to accomplish some other goal with computers as the tool, they will naturally use the highest level of abstraction and the simplest one for them to use, which is exactly what they should do.
Should we petition to rename this site to "Stone Age News" or something then?
Maybe I'm wrong but I always thought figuring out how things work was pretty core to the Hacker mentality.
So you learned. You opened files like autoexec.bat and you read them."
Ehh I dunno about that. I rarely, if ever, had to mess with any of that junk after Windows 3... I also didn't have to deal with any IRQ issues. So seems like it was already mostly abstracted in the "1990s" lol
That said I did run into my fair share of other problems, and that early era of personal computing and my access to machines is the only reason I work in computing/tech today. If my childhood wasn't full of tinkering with these fascinating machines, and I only ever had an iPhone or iPad, I likely would have turned out much different.
I do remember having to look lots of things up and figuring out why some things wouldnt work. Then getting into building our own computers (because it was cheaper) and figuring out how to get halflife mods working...
And of course IRQ diddling was still necessary to configure sound, network, and game controller hardware throughout the DOS era of gaming, which lasted well into the Windows 9x era.
I have no idea how an electrical transformer works (well, other than the bare theory I learned in physics courses), or how power gets from the power company to my house, or how the circuits in my home are setup. I plug something in, and it works, and occasionally I throw a breaker if something is malfunctioning. There's no resistance there (pun not intended), and there shouldn't be. People got killed trying to wire their own homes.
I used to read about phone phreaks from the 1970s that could do black magic to get free long-distance phone calls. When I grew up in the 80s, that was basically gone. You picked up the phone, got a dial-tone, and called. And now it's really gone, with everyone having an encrypted cell phone connection over 5G, and your IMEI and IMSI being phoned home to every tower you connect to.
It's the nature of technology and capitalism. As the technology matures, it gets hidden away to become increasingly invisible to the end user, so you just do what you want to do with it. And then the engineering resources get spent on new problems.
people will hack enterprise pbx systems. The stream just flowed somewhere else.
> knew a beige computer in 1995 that wouldn’t run a game until I had rearranged its bits by hand. More dependent than ever
If you look at previous article from this author, it says how Mac is amazing and how Linux sucks. Kids like that in 1990ties would buy expensive consoles, and would not deal with hack PC's to get free games.
Many people today are still dealing with cheap shitty hardware, 7 years old Android phones and sketchy ROMs... Just because there is no other option!
https://unix.foo/posts/it-will-never-be-the-year-of-the-linu...
I'm old enough to see this process in action; I used to be young and in possession of esoteric knowledge that made me infinitely in demand and now most of the things that young people have esoteric knowledge about is things that I don't particularly care about, and I'm left with a lot of finely honed skills to solve problems that have mostly been abstracted away.
What? Definitely not. I went to university and my first two years were subjects where I had to understand really deep levels of abstractions. I had to build logic gates, I had to work with hardware, wires, etc. I didnt see the point back then (I never used any of that professionally). The same about algorithms, databases, and a lot of things. But now I find it valuable and thankful that my professors (and whoever designed the career) considered important topics that I had to lear.
Please get used to this sort of depressive, absurd and out of touch tone from HNers, it’s literally all they do now. Don’t bother calling people here hackers anymore, they have checked out emotionally and spiritually.
Beautiful writing.
For a while I've been meaning to set up some Wireguard connections among some of my systems. Being as busy as I am with work and family, I've relinquished that to Tailscale for now.
Sure, I could have sat down and jumped through the hoops to get everything set up and working across my various hosts, including network routes, firewall rules, key pairs, systemd units, and so forth. But the "cheap and easy" alternative was right there and worked (except when it forces re-authentication).
With LLM agents, I was able to effortlessly analyze my existing network and produce tailored scripts to do precisely what I wanted. All I had to do was review the scripts for potential security issues and what not. Looking at the script, there are 3 or 4 specific tweaks that needed to be made to my network routing rules given my network topology. I could have read a few man pages and iterated on the script by hand to eventually get there after maybe an hour or two of futzing.
The availability and effectiveness of the agents is simply too tempting for me. I'm not sure what this means about my skillset, or if that even matters any more. I am fairly confident that, so long as my brain still works well enough, I'll always be able to RTFM and figure things like this out myself. At this rate I wonder whether my kids will have the same ability. And I also wonder how much that will matter.
Regardless, I'm still helping them figure things out the "old way" without over-reliance on LLMs. One thing I'm fairly certain about is that failure to develop problem-solving skills can only put them in a worse position in life, no matter how capable AI becomes.
I've done at least a little of the latter, and it's amazing how underrated it is as an educational tool - especially for the solo individual.
I worry more about whether people care and consider it a problem when they don't know.
I disagree. If you ask a model for a manual and it regurgitates that manual from its training data, it’s over-fitted. It will regurgitate something that looks like a training manual. Or whatever fits your query about training manuals.
You still have to push back on them sometimes when you spot an error. And you can only spot them if you already know what you’re looking for and should expect. Otherwise you have to ignore the output and just get the links which… could be outdated or made up as well. You’ll never know until you verify the results.
And this degrades with compression and time.
There’s no royal road. I agree that trying and getting frustrated and having to take the effort to understand something pays off in spades. I just think it’s still worth it and vastly under appreciated in this era of “everything fast, now.”
Good luck coming up with a new language and getting enough content out there that LLMs will be fluent with it.
If true, I think that's a shame. There's plenty of innovation still to be done.
1: This is why I prefer console games. I just want to have fun without fighting with the machine.
2: There are plenty of people who appreciate old techniques and methods; and keep them alive. Think of going to a museum and seeing someone demonstrate an old craft or reenact how a craftsman did their job. For example, in my town there is an old, water-powered corn mill that still runs and sells corn meal.
> When I was young I fixed my parents’ computer and now that I’m older I fix computers for my kids. Are we the only generation that knows how computers work?
I think this is a universal feeling that accompanies any technological innovation. My phrasing is that new technology unbundles the thing people want from the craft that was formerly required to get it; any craft requires someone to learn and achieve through struggle.
ETA: Or, to put it in car terms, we were all forced to take cabs (except for the people who were interested in driving, who became cab drivers) because car crashes happen or my sand eating neighbour couldn't tell which pedal was the brakes
I appreciate the tactile joy of interacting with simple systems like those, but most times I just want to get where I'm going. Freeing my attention from those tasks allows me to pay more attention to the (inattentive) drivers around me, and try my best to not die.
Eventually a computer will handle driving for most of us, and we can lament about all the things we've lost there too. If you zoom out, most of us don't have an in-depth understanding of how an entire city works (power, garbage, sewage, maintenance, public services, politics, etc), and couldn't coordinate the various activities to keep it running if we had to. We live in towers of abstraction.
I'm all for just getting to where I need to go by using the appropriate tool, like a reliable car. But no not if it means foregoing the liberty of other options.
Now everything is a means to a commercial end. Tinkering for fun and knowledge just isn't profitable. And it matters less and less what each our stance is on money and capital if the people that optimize for money and capital gobble up all the money and capital. Of all that's going on, the wealth gap is what's most troubling to me, closely followed because it's closely related is "post truth". I think post-truth is roughly caused by the fact that people are happy to believe what they want to believe toward some commercialized and/or idealogical end. You're much more likely to hate and blame your neighbor when you look around and you're the one not doing too well.
There's absolutely nothing wrong with doing that - I'm just not sure the 'ethos' of tinkering has anything to do with trying to make money and is usually reserved for describing someone playing about with something for their own enjoyment/fun with no desire to make money.
Now, of course some people did find that their tinkerings were able to make them money, but I think at its base it's a term I'd tend to say implies doing something for fun/for themselves, rather than doing it for profit?
In my experience there's still plenty of people out there tinkering just for their own personal satisfaction, but of course there's almost certain a whole load more people out there 'tinkering' to try make a profit.
To be clear, I'm seeing this as an observed phenomenon, not that everyone made up their mind that they hate tinkering and love money. I just think it's getting really really hard to exist in the world as a normal person when the entire human collective is getting pumped commercialized hyper-media from all angles at all times now 100X'd by genAI bots. It's really exhausting and so you either opt-in to the game, monetize your now AI side-hustle to pay the rent, or opt-out and live in the woods. and get packages delivered by Amazon. heh.
Maybe AGI is impossible with current model as it simply can not reliably improve itself... Enough errors in any part of loop will stop the progression.
1. GPT proved Erdős Unit Distance Conjecture entirely on its own
2. GPT-5.4 Pro Solves Erdős Problem #1196 (April 2026)
In fact there's a whole benchmark that's measuring this: https://epoch.ai/frontiermath
> But we are losing the knowledge
No we aren't and this is spreading FUD. Things have always been like this. Its called specialisation and this is how society progresses. I don't know how the supply chain worked to get the food to my table. That's why its so cheap!
Me and OP aren’t super heroes, we can’t do what a team of talented individuals created even if that team existed many moons ago. That isn’t the point.
We both questioned the tone and the conclusion of the comment.
Also, your example seems flawed if you restrict to a certain product. Can I build a compiler from scratch? Yes. Can I reproduce in a year a compiler with LLVM/GCC performance level? No. Can I build a compiler from scratch in a year from a room if I need to starting mining from metals, building transistors, then building the first assembler and then implementing the compiler? You can imagine the answer.
so even if you're right, checking out emotionally and spiritually just means more life lived. That ain't some kind of bad thing.
life is good sometimes. hard sometimes. and it's long sometimes, so give people a break.
i had to make logic gates and so on, but i wouldnt say i really learnt it, even if back in highschool i learned all the different things a 555 timer can do
Did I do all physics or all electronic circuit design or all software stacks? Definitely not. But I spent 3 years learning (and building) about lots of stuff.
Did I end up an expert at those layers? Of course not, but I know the basics and I know enough that if I need to I know where to start learning more. Just like I wasn't a C++ or hard realtime expert after university either, but now a decade and a half later I am pretty good at those (and a bunch of other skills that ended up relevant to my line of work).
Basically, none of the layers are "magic" to me. Even if I don't know the details of it, I know the general principle and I know I could learn more if I need it.
(I think you naturally end up an expert at the layer(s) you work in, and the knowledge tapers off as you go down (or up) the stack. For example, I know a fair bit about how the CPU works (cache coherency, pipeline stalls etc), I can passably read x86 assembly, etc. Because they affect the layer I work at (hard realtime systems C++ and now also Rust). I know far less about web dev than hardware.)
We really dont understand how AI is working, even the earliest "genetic algorithms" could be incomprehensible, but computer systems in general, they're not really that complicated.. its like an audio mixing desk..it looks insanely complicated until you realise it's just the same few knobs repeated many times for many channels. High level languages, compilers, assembly, machine code, nand, mosfets. A single person really can understand it all.
Exactly, I'm over 50 and I remember all the complaints about script kiddies who looked at windows bat files as opposed to all the 'real programmers' who knew C and Assembly and used VIM and linux (which is still going strong)
(ie https://www.explainxkcd.com/wiki/index.php/378:_Real_Program...)
but now also as an AI engineer we have to learn how harnesses, sys prompts, various models, tokens LLMs etc all work so a new abstraction is born..
layers changes, nerds and ultra-specialist nerds will remain
nostaliga is always for the last layer- the one you remembered from your teens and 20s.
As someone who's been exclusively using Vim for my development (and can definitely integrate it with AI workflows), that's just an insanely silly opinion. But I guess it shows how the next generation thinks about these tools that they've heard of but never actually bothered to learn.
I'd say it's generally true that the majority of jobs of an era deal with a similar level of abstraction, and that's why most people stay on it. However, I frame this as being born with technical debt, and it's my obligation as an engineer to understand what the previous generations have built, and where it makes sense for me to work, directionally.
But yea this glosses over a bit trial-and-error designs and, so to speak, "genetic optimization" kinds of designs where we just try random stuff and say "Hey, this works. Not sure why, but it works.".
I'm fairly certain I know how it works. Being a physicist helps with the even-lower-level-details if you want to start talking about transistor doping, or electrical circuit theory, for example
HoldOnAMinute•1h ago