This is still pretty neat, but it's just not the same as carrying the tradition of Donald Knuth.
1,316 karma · joined December 30, 2020
This is still pretty neat, but it's just not the same as carrying the tradition of Donald Knuth.
It will probably still have some veneers of meritocracy.
These will be very well-credentialed people, who went to top schools and will know all the right people, to whom they can tell all the right words, and it's not access to AI that will be the determining factor, but the fact that they're entrusted with capital and authority to direct small teams of people who also went to top schools and can speak corporate jargon at a bot.
It will just exacerbate dynamics that are already there. Why do people need bachelor's degrees to send emails, today? For the same reason someone will need a PhD or a master's degree from a prestigious school to do it tomorrow.
And the rest, well, you know, some of the remaining journalists will write op-eds describing how they are beyond help, too angry, too dirty, too much of an other.
How many insurance policies does anyone need to contract, how much legal advice does anyone need to hear, how many movies does anyone need to watch, and how much software does must support that demand, so that everyone can stay employed in an AI accelerated service sector?
The new opportunities could well be that labor costs go down so much that the minimum wage is lowered and sweatshops return to developed countries.
I'm sure some aspiring sweatshop owners could be excited by that possibility, I don't think a lot of software developers or TV show writers are eager to be sewing sneakers for a pittance.
I'm sorry but us programmers didn't invent capitalism, and it wasn't our consent under the condition of having a good run under it what kept it in place.
The people more at risk of being left behind are the ones that don't learn when not to trust their output.
LLM-generated code hits all the right notes, it's done fast, in great volumes, and it even features what the naysayers were asking for. Each PR has 20 pages of documentation and adds some bulk to the stuff in the tests folder, that can sit there looking pretty. How wonderful! Hell, you can even do now that "code review" that some nerd was always complaining about, just ask the bot to review it and hit that merge button.
Then you ask the bot to generate the commands again for the deploy (what CI pipeline?) and bam! New features customers will love. And maybe data corruption.
A friend is a team lead in an org that's mandating vibecoding via "Devin", a lesser known player an "architect" chose after shallow review. The company also has endemic process issues and simply can't do deployments reliably, it's behind the times in methodology in every other respect. Higher ups are placing their trust in a B-list agentic tool instead of fixing the problems.
Anyway, I wouldn't be caught dead working at either of those two shops even before the AI rollout, but this is what's going on in the IT underworld.
Well, I'll have to take their word for it that they're passionate about maximizing shareholder value by improving key performance indicators, I know I personally didn't sign up for being in meetings all day to leverage cross functional synergies with the goal of increasing user retention in sales funnels, or something along those lines.
I'm not passionate about either that or mandatory HR training videos.
For trivial CRUD apps, and maintaining modified versions of the generated code was a nightmare.
It was a precipitous fall from grace
HN was so enamored with him when his deal was about hacking eating into being more productive by not having to chew
That’s an impressive, so to speak, level of consumerism, reminds me of a self-professed minimalist that made the rounds here years ago, he practiced detachment from worldly possessions by throwing away his clothes after use and buying new ones, instead of washing them
I think this erosion of trust will have far reaching consequences and people will become less open to ideas and experiences front strangers.
Running your brand into the ground in the early days will be costly.
Why? To this day still they’re the showcase of what LLMs “can” do for (to) a line of work, but they’re the only ones with all the relevant information online.
For programming, there’s decades of textbooks, online docs, bug tracker tickets, source code repositories, troubleshooting on forums, all laying out how a profession is exercised from start to finish.
There’s hardly a fraction of this to automate the tasks of the average Joe who does some paperwork the model has never seen, who’s applying some rough procedures we would call “heuristics” to some spreadsheets and emails, and has to escalate to his supervisor for things out of code several times a day.
Stack Overflow’s moderation is overbearing and all, but that’s nowhere near at the same level as Expert Exchange’s baiting and switching
The Enterprise ecosystem quickly withered away, and now only type level programming diehards remain.
If legislative processes are so drawn out and complex that no more than a handful of ordinary citizens could keep track of them, the advantage that paid lobbyists have over the public is enormous
Oh and the errors can compound dozens of times per minute (your favorite inference API isn’t fast enough for dozens per second), but I imagine that this is seen as efficiency.
Just taking what people argue for on its own merits breaks down when your capacity to read whole essays or comments chains is so easily overwhelmed by the speed at which people put out AI slop
How do you even know that the other person read what they supposedly wrote, themselves, and you aren’t just talking to a wall because nobody even meant to say the things you’re analyzing?
Good faith is impossible to practice this way, I think people need to prove that the media was produced in good faith somehow before it can be reasonably analyzed in good faith
It’s the same problem with 9000 slop PRs submitted for code review