forgetfulness

I simply don't believe that there is an infinite demand for the kinds of things that can be done by generating text.

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.

For some reason programmers start thinking that we'll transition away from a whole world of societies built around the concept of individual ownership, i.e. your landlord charging you rent, company owners owning the company and the resulting product and paying you what they deem the work you own is worth, and move towards something like communism, all because people working in IT or marketing departments are having a hard time.

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.

It's hard to imagine how making insurance sales cheaper for the brokers, churning out astrology apps faster, AI boyfriend bots or running ad campaigns with fewer and lower paid designers is going to drive 10% GDP growth in developed and middle income countries, that's the sort of figures you see when very poor countries finish rolling out electrification, sanitation and transportation.

Also what constitutes ownership here? Couldn't some Enterprising Individuals open 100 shell companies, pool together resources and form the Legalize Asbestos Consortium, the Consortium buys a plot of land and then each stakeholder of the Consortium counts as an owner of the plot of land?

Also a lot of middle managers. Many organizations enthusiastically adopting AI are doing so because they want to appeal to the authority of the bots and bludgeon colleagues with it.

LLMs are very easy to pick up, the point of them for their makers is to commoditize skill and knowledge, you can't be left behind in learning to use them, AI providers don't have economic incentives to make them into anything other than appliances.

The people more at risk of being left behind are the ones that don't learn when not to trust their output.

Right, bridging the gap of knowledge by getting closer to that of the clerical workers of the company, because pure software knowledge is no longer as valuable. That will probably make your salary closer to theirs, and that'll be a pretty big adjustment.

Lots of organizations don't want to accept that their velocity issues are quality issues. It's often a view held by an old guard that was there when the business experienced growth by adding features, while not having to bear any maintenance burden. The people who remain are either also oblivious to this, or simply have stopped caring.

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.

My uncle leads IT support teams, the org is measuring AI use in writing reports and tickets. The org has very poorly structured and obsolete processes (he's trying to straighten them up as he goes), AI will probably amplify the lack of structure, by making it easier for the work to _look_ as if someone carefully reviewed the issues and followed procedure.

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.

I'm behind the times! That's what it used to be until Windows XP, the last Windows version I used on a daily basis was Windows 2000 up to 2005.

It brings up the Task Manager, that lets you forcibly stop processes, and this is a way for the (NY State) Government to take control of your printer, the analogy isn't bad.

Plenty of people will tell you that they enjoy solving business problems.

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.

Many countries were also "biased" against Apartheid South Africa, the bias was disapproval of apartheid, much like the one enacted on the West Bank and Gaza.

It used to lack non-destructive editing ("adjustment layers" in Photoshop parlance) until recently, it's a core foundation of editing workflows for designers and photographers, it lets you layer transformations of over immutable rasters. This was in Photoshop since 2005.

It was going to be the future of Software Engineering in the 2000s, Software Architects laying out boxes for Software Bricklayers to implement as dictated, code generation tools were going to make programming trivial.

For trivial CRUD apps, and maintaining modified versions of the generated code was a nightmare.

https://ourincrediblejourney.tumblr.com/

Google PMs must not be incentivized to launch new products the way they were, renaming and relaunching the chat app was a regular occurrence.

The game's campaign being what it was made it so people never warmed up to it, the big hero-focused storylines and then mishandling of said characters (Kerrigan's abortive humanization and then rushed redemption, the Protoss being framed in entirely the wrong tone, the half baked epilogue) just made it so that the campaign didn't stick as Brod War's did, even if the gameplay was superior.

The man left prior to Apple facing, and losing, a class action lawsuit over his favored keyboard design. Screens also died left and right in designs approved by him, and his next great innovation would be the Touch Bar.

It was a precipitous fall from grace

I can’t find it either. It may have been him, washing machines are the kind of alternating current appliances that he avoided in preparation for living in space

HN was so enamored with him when his deal was about hacking eating into being more productive by not having to chew

The author wants to buy a whole new computer every year or two max, instead of upgrading components

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

Reputation will only become more important as AI generated content permeates society, the name behind what you’ll read, watch or listen will be a bigger factor in whether anyone would commit minutes to hours to consuming what could be slop.

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.

I’m more inclined to believe that no jobs (as in trades, professions) will go, but programming will be the most automated, along with design and illustration.

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.

They SEOd their way into being a top search result by showing crawlers both questions and answers, but when you visited the answer would be paywalled

Stack Overflow’s moderation is overbearing and all, but that’s nowhere near at the same level as Expert Exchange’s baiting and switching

What really obliterated Scala’s momentum was PySpark overtaking Scala Spark coming from Python’s foothold in Data Science, columnar data warehouses carving out a big chunk of the batch processing pie as well, and then the Akka licensing change.

The Enterprise ecosystem quickly withered away, and now only type level programming diehards remain.

That could still be democratic in principle if it weren’t for lobbyists

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

The biggest downsides of working with people, like ambiguity when asking and imprecision when receiving an answer, but without the upsides like sharing food or gossiping about people you both know

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.

I don’t know how we’ll fix it

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

Hackers never had a very cohesive and consistent ideology or moral framework, we heard non stop of the exploits of people funded as part of Cold War military pork projects that got the plug pulled eventually, but some antipathy and mistrust of the powerful and belief in the power of knowledge were recurrent themes nonetheless

So why is it a surprise that hackers mistrust these tools pushed by megacorps, that also sell surveillance to governments, with “suits” promising other “suits” that they’ll be making knowledge obsolete? That people will no longer need to use their brains, that people with knowledge won’t be useful?

It’s not Luddism that people with an ethos of empowering the individual with knowledge are resisting these forces

Never a git history rewrite after a declined pull request, pure “index.html_previous_3” bliss