> I find it particularly disillusioning to realize how deep the LLM brainworm is able to eat itself even into progressive hacker circles. That's the thing, hacker circles didn't always have this 'progressive' luddite mentality. This is the culture that replaced hacker culture. I don't like AI, generally. I am skeptical of corporate influence, I doubt AI 2027 and so-called 'AGI'. I'm certain we'll be "five years away"…
In a way, the busy work is padding. If the day becomes entirely difficult, I want more reward or time away.
I understand how LLMs may improve the situation for the employer, personally or with peers: no.
> I find it particularly disillusioning to realize how deep the LLM brainworm is able to eat itself even into progressive hacker circles. That's the thing, hacker circles didn't always have this 'progressive' luddite mentality. This is the culture that replaced hacker culture. I don't like AI, generally. I am skeptical of corporate influence, I doubt AI 2027 and so-called 'AGI'. I'm certain we'll be "five years away"…
I consider myself progressive and my main issue with the technology is that it was created by stealing from people who have not been compensated in any way. I wouldn’t blame any artist that is fundamentally against this tech in every way. Good for them.
It's "unauthorized use" rather than "stealing", since the original work is not moved anywhere. It's more like using your creative work to train a software system that generates similar-looking, competing works, for pennies, at industrial scale and speed.
> I find it particularly disillusioning to realize how deep the LLM brainworm is able to eat itself even into progressive hacker circles. That's the thing, hacker circles didn't always have this 'progressive' luddite mentality. This is the culture that replaced hacker culture. I don't like AI, generally. I am skeptical of corporate influence, I doubt AI 2027 and so-called 'AGI'. I'm certain we'll be "five years away"…
I think you're missing that a lot of what we call "learning" would be categorized as "busy work" after the fact. If we replace this "busy work" with AI, we are becoming collectively more stupid. Which may be a goal on itself for our AI overlords.
As mr Miyagi said: "Wax on. Wax off."
This may turn out very profitable for the pre-AI generations, as the junior to senior pipeline won't churn seniors at the same rate. But following generations are probably on their way to digital serfdom if we don't act.
> What exactly is being de-valuated for a profession You're probably fine as a more senior dev...for now. But if I was a junior I'd be very worried about the longevity I can expect as a dev. It's already easier for many/most cases to assign work to a LLM vs handholding a human through it. Plus as an industry we've been exploiting our employer's lack of information to extract large salaries to produce largely poor qua…
LLMs vs human Handholding the human pays off in the long run more than hand holding the llm, which requires more hand holding anyway. Claude doesn't get better as I explain concepts to it the same way a jr engineer does.
Actually it does, if you put those concepts in documentation in your repository…
Those concepts will be in your repository long after that junior dev jumps ship because your company refused to pay him at market rates as he improved so he had to jump ship to make more money - “salary compression” is real and often out of your manager’s control.
I think LLMs are net helpful if used well, but there's also a big problem with them in workplaces that needs to be called out. It's really easy to use LLMs to shift work onto other people. If all your coworkers use LLMs and you don't you're gonna get eaten alive. LLMs are unreasonably effective at generating large volumes of stuff that resembles diligent work on the surface. The other thing is, tools change trade-off…
> It's really easy to use LLMs to shift work onto other people. This is so incredibly true.
I'm interested in this. Code review, most egregiously where the "author" neglected to review the LLM output themselves, seems like a clear instance. What are some other examples?
Something that should go in a "survival guide" for devs that still prefer to code themselves.
HN loves this "le old school" coder "fighting the good fight" speak but it seems sillier and sillier the better and better LLM's get. Maybe in the GPT 4 era this made sense but Gemini 3 and Opus 4.5 are substantively different, and anyone who can extrapolate a few years out sees the writing on the wall. A year ago, no reasonable person would use AI for anything but small-scoped autocomplete. Now it can author entire…
Great comment. I'll add that despite being a bit less powerful, the Composer 1 model in Cursor is also extremely fast - to the point where things that Claude would take 10+ minutes of tool calls now takes 30 seconds. That's the difference between deciding to write it yourself, or throwing a few sentences in Cursor and having it done right away. A year ago I'd never ask AI to do tasks without being very specific about which files and methodologies I want it to use, but codebase search has improved a ton and it can gather this info on it's own, often better than I can (if I haven't worked on particular feature or domain in a few months and need to re-familiarize myself with how it's structured). The bar for what AI can do today is a LOT higher than the average AI skeptic here thinks. As someone who has been using this since the GPT4 era, I'd say that I find a prompt about once a week that I figured LLMs would choke on and screw up - but they actually nail it. Whatever free model is running in Github Copilot is not going to do as well, which is probably where a lot of frustration comes from if that is all someone has experienced.
LLMs vs human Handholding the human pays off in the long run more than hand holding the llm, which requires more hand holding anyway. Claude doesn't get better as I explain concepts to it the same way a jr engineer does.
I had hired 3 junior/mid lvl devs and paid them to do nothing but study to improve their skills, it was my investment in their future, I had a big project on the horizon that I needed help with. After 6 months I let them go, the improvement was far too slow. Books that should have taken a week to get through were taking 6 weeks. Since then LLM have completely surpassed them. I think it’s reasonable to think that some…
And even if their progress had been faster, now they are a capable developer who can command higher compensation that statistically your company won’t give them and they are going to jump ship anyway.
> This is the culture that replaced hacker culture. Somewhere along the lines of "everybody can code," we threw out the values and aesthetics that attracted people in the first place. What began as a rejection of externally imposed values devolved into a mouthpiece of the current powers and principalities. This is evidenced by the new set of hacker values being almost purely performative when compared against the old…
I realized recently that if you want to talk about interesting topics with smart people, if you expect things like critical thinking and nuanced discussion, you're currently much better off talking literature or philosophy than anything related to tech. I mean, everyone knows that discussing politics/economics is rather hopelessly polarized, everyone has their grievances or their superstitions or injuries that they c…
> But the reflexive shallow pro/anti takes on AI are way more extreme
But this is philosophy (and ethics/morality)
My feelings about AI, about its impact on every aspect of our lives, on the value of human existence and the purpose of the creative process, have less to do with what AI is capable of and more to do with the massive failures of ethics and morality that surround every aspect of its introduction and the people who are involved.
Okay, I mean if that’s the sort of thing you regularly have to do, cool, it’s useful for that, maybe, I suppose? To be clear I’m not saying LLMs are totally useless.
I don't have to do this regularly. You asked for a qualitative example. I just gave you one.
Unbelievably stale take. You can criticize the future effects of LLM's on critical thinking skills and cognitive degradation of N number metrics, but this is an incredibly jaded and emotional take on what is a freight train of technology.