and work towards properly making corporations less foul

Well, you and your “human solutions” have been banging that drum for 50 years (that I know of) and all I see is negative progress. The ChatGPT suggestion was meant as a barb, of course, but in a “try something different” kind of way, because 50 more years of the same old same old bitching about the evil corporations might get you one more AT&T breakup level event, if you’re lucky and the powerful people of the world want it broken up too…

I think you are a little too into the random outputs of programs to be trusted on anything, really.

On the internet, nobody knows you are a dog.

As CEOs aren’t programmers, they aren’t really doing anything much beyond

playing God, master and commander of their own little universe - having the final say in every single aspect of the company. The good ones delegate. Not all CEOs are good.

LLMs aren’t sentient, they can’t take the role of a human nor accept responsibility when things go wrong.

No, but they can weigh alternatives and make psychopathically insensitive decisions to maximize profits - which is the implicit job description of CEO.

LLMs are just a faster way of being deskilled as by design,

In the 1990s compilers de-skilled my assembly programming. I’m O.K. with that, I’m sure I could pick it back up if it were necessary, better than I did before for my diverse experience outside assembly programming since then, but it doesn’t seem likely I’ll ever need to.

Google and the other search engines deskilled my library navigation abilities. I used to know how to whiz from card catalog to microfiche to the stacks to requesting an inter-library loan in a half dozen local libraries. If I ever need to go back to doing those things, first I’ll have to learn how they’ve changed in the last 25 years, but meanwhile - search engines are 1000x faster and more efficient. I can’t remember the last time I drove 30 miles, parked downtown and walked in the rain to use a search engine, but I do remember doing that and more to use libraries.

I think it’s time to crack that deskilled buggy whip maker joke now…

even better trust your fucking experts and ask them for their opinions

Self touted experts full of misinformation are nothing new. People have been selling stale and hallucinated “business intelligence” since forever.

a political narrative as well, designed to enable mass disenfranchisement of skilled people.

Like the cotton gin, the spinning Jenny, the power loom, etc. People could and still can pick seeds, spin thread, weave by hand - but why would they pursue that as a career anymore?

I will never give a corporation an inch, as they will steal a mile.

If you really want to change the state of things, there are more effective uses of your time to achieve that end than moaning about it on the internet. You might ask ChatGPT how you can achieve your goals more effectively. I wouldn’t take the responses as marching orders, but you might be surprised if you actually think about the effort vs efficacy ratio of your options.

on a scale that can absolutely terrify ever single politician in power

Do you remember Kent State? I’ll note that the draft has ended and not returned since.

big corporations are trying to replace their entire staff with just LLMs, which cannot write code, maintain code, and update it properly without a person being involved to audit it.

As Forrest says: stupid is as stupid does.

humans need to fully investigate and verify if the LLM detected an anomaly or not

Yeah, and once detected bugs and vulnerabilities (especially those with proof of concept exploits) are really easy to verify - and people who skip that step deserve all the ridicule and disrespect they can get, because they’re ridiculously disrespecting the people they’re reporting supposed bugs and vulnerabilities to if they haven’t at least verified they’re actual and not hallucinated.

publishing a fix based on human written code alone from there. The LLM cannot be involved further at that point, as deskilling is an ever-present danger with those things.

Here I diverge from your thinking. Deskilling has been an ever-present danger since promotion to management was invented. Some managers retain their skills, others follow the Peter Principle ever upward until they’re beyond their actual abilities. The need for skills remains, and I doubt computer coding knowledge will be vanishing just because it’s gotten easier to do it faster and better than ever before. If anything, I’m learning from the LLMs what’s possible when you have so much extra time on your hands to write unit tests, document trace matricies, keep all the design documents in-sync with the actual state of the code, etc. All the things that we have been learning how to do minimally to avoid wasting time on them, now can be done maximally, and there are benefits - particularly when working with dim-witted LLM agents as front-line coders (who work really really fast.)

CEOs have been brainwashed into believing

many things over the years. Speaking of a role better suited to an LLM…

Perhaps, if humans used them sanely, it wouldn’t be so bad.

You could as easily apply that statement to automobiles, earth movers, concrete plants…

Regarding languages: they never mattered a whole lot - by the time I was out of school I had BASIC, Assembly (several kinds), Fortran, Pascal, C, C++, LISP, probably several more - and it’s all more or less the same, each with their own quirks and special supports. Mostly you just use what works in the environment you’re trying to develop for. Same for libraries and APIs… More recently, I did a fairly sizeable project in Python with Claude, but much more important than anything written in Python were the user-facing requirements. When I was tired of Python taking 2-3 seconds to render a page, I consulted with Claude and we settled on Go as the next logical target. Because the requirements and their tests were fully developed / properly exercised and maintained, the re-code from Python to Go was 100% automated, all done by Claude, and it came out flawlessly - every feature identically implemented, running from the same database, only pages rendered in 0.1 seconds max instead of 2-3. Claude assures me that the Python development went 2-3x faster than original development would have gone in Go… I wonder how true that was, or if Claude is just parroting what it read somewhere; actually, at this stage I’m 95% sure it was parroting, though the models are getting better about quoting actual estimates based on LLM assisted development.

People who share textbooks, buy cheap ones…These students aren’t a profit driven entity

Actually, they are. They are a teeming horde of individual profit driven entities who might not be able to afford an education otherwise. One might even extend that analogy to Anthropic and friends, where it was more realistic for them to ask forgiveness / restitution rather than permission. Illegal, yes. But would staying legal have been the right move?

I wonder about the future of America…

No matter what happens in November, I still wonder about the future of the US, and the world.

LLMs should be used for their original purpose: Processing language, not used to generate code. Coding should stay a human activity.

That ability to see the patterns in language, particularly the ability to distill semantic meaning and make (reasonable, if imperfect) translations from one language to a variety of others, is incredibly useful in software development activities, which are basically the task of translating natural language requests into code - usually through a multi-step process of: requirements definition, design specification, application development, test development, and constant review to ensure that all those steps are in-sync, describing the same thing.

continuing to invest in humans

Always.

teaching the craft in ways that help get new programmers up to speed faster.

I’m tempted to make a “better buggy whip maker” crack here…

Anthropic literally trained on copyrighted material without permission and could be prompted to produce author’s material. It’s a bit different than a Student quoting an author.

Yeah, so Anthropic didn’t pay for legitimate textbooks when they went to school, they bought cheap, illegal, Asian photocopies instead… wrong, sure. How do you make it right now? Lobotomize the students who read illegally copied books? Fine their parents for everything they are worth? Or, hold the students liable and garnish their wages in perpetuity?

So…We shall see how that pans out.

Yep…

I am a pest to my representatives

Keep it up. I’m in Floriduh so talking to our representatives is more or less like talking to a brick wall. They may accumulate counts of how many people raise an issue, but for the most part they’re serving the federal administration’s agenda, not listening to their constituents.

People have to audit that shit to make it serviceable, which greats bigger workloads

I mostly ignored LLM code generation until around August of 2025 - it was still pretty raw back then, but it was showing potential for significant improvement, and since then there has been significant improvement. At this point, I find that if I ride herd on the LLM agent and keep it focused, structured, addressing technical debt frequently, etc. I can actually review the generated code more quickly and easily than similarly mature code by human developers. What is coming out of models like Opus 5.5 now is looking like what I would write if I had all the time in the world to cover all the edge cases, handle all the errors, do the logging and auditing and all the other “good stuff”. It does explode the code for what was a simple “happy path” thing into a much larger structure that takes the real world problems into account and gets in front of them, handling them gracefully and presenting clear messages about what went wrong when unavoidable problems happen.

I guess what I’m saying is: yeah, we’re still getting more code to review, but it’s getting easier to review and the presence of meaningful automated tests and consistent documentation and non-rotten traceability from requirements through all that is actually resulting in lower overall workloads once you look at the big picture of what it takes to maintain code in the real world with security and other issues and not just the happy insecure proof of concept and ship it world.

Breaking the spirit of mostly volunteers with such inexpertly crafted code is just not the best idea.

Yeah, if your models are giving you inexpertly crafted code, you need to keep iterating with them until it’s expertly crafted before shipping it, don’t just throw up a pull request because some bogus tests passed. And, there’s still a difference among models - they’ve all improved rather dramatically over the last 12 months, but for my purposes (coding robust, secure, safe applications) Claude’s Opus and Sonnet are still “in the lead” by a pretty good margin. Other models are better at other things…

Trainers do act badly because they weren’t regulated to hell and back

There’s not enough transparency or accountability in the global business landscape for any kind of regulation to actually work. If these regulations are going to have any chance, the first step has to be true transparency - like FOSS does with open source development repositories, and more.

people paid for their data or compensated for hammering personal websites.

Keep dreaming. It would be a wonderful world, but it’s far from where we are.

said models can be made to reproduce phrases

Like English majors can quote Keats after graduation… I’m not sure that’s proof of plagarism in their other writing.

an absolute morally compromised fool

Yeah, it’s been an interesting ride this cycle - seems like they’re trying to tear down the government institutions in preparation for something like Palpatine disbanding the Senate… destroy all confidence by blowing up every problem of the past and flaunting it as something actively done at the highest levels. If they succeed in holding power through the upcoming mid-terms the ride is only going to get more interesting…

Take the simple washing machine for example

or the cotton gin, or the steam engine…

Now one wo/man + machine can do the work of ten wo/men… and 9 wo/men were freed up to “do less menial stuff” - and not get paid (or enslaved) for it.

If the models all go up in smoke, we still have the code (and its bugs) - so let’s get as many bugs out as possible as soon as possible and not accept a bunch of garbage code - as has always been the case, it’s just happening faster now.

Trainers (all over the world) are behaving badly, because they can get away with it. I’m not sure where that ends up, but it doesn’t change the generated code or the discovered vulnerabilities or the fixes.

The personal data has been abused for decades already, but again - now it’s easier for more actors to abuse your personal data and mine. Maybe, someday, we’ll get serious about enforcing privacy policies and not just have completely toothless theater about it.

I have been using “onboard graphics” professionally in our products, including products which do 3D rendering, since 2014.

I think GPUs have a little longer life than sound blaster cards still in them, massive arrays of relatively simple CPUs have more purposes than just graphics rendering.

Be the change you seek in the world.

I am wondering how many undetected bugs will sneak into the kernel.

Less with LLMs than without. https://projectdiscovery.io/blog/the-vulnerability-curve-bent-with-the-ai-curve https://www.darpa.mil/news/2025/aixcc-results

it’s making people reliant and lazy which leads to complacency.

Pretty much the whole point of every invention in the industrial revolution.

Ironically, I find the LLMs to be better at auditing code than generating it in the first place. Like the humans they trained under, LLMs make mistakes and miss important things in both endeavors, but: when an LLM finds a real problem, that’s a win no matter how you look at it.

How, if at all, does this change impact Vaultwarden?

Are there meaningful updates / improvements for a minimal (no graphical desktop) install?

Wayland isn’t about improving latency, it’s about having something resembling a sane security model.

It’s nice it doesn’t make things any slower, but the truth is: Wayland on today’s hardware is significantly faster than X on 10 year old hardware, and nobody was bitching that X was too laggy in 2016.

Before it was debunked, it was “common knowledge” for several months that Microsoft was representing Windows 10 as their last OS, the start of rolling releases that mean you never really get a new OS, you’re constantly getting a new OS. The story kind of faded and the debunk didn’t really reach “awareness threshold” until Win11 was announced.

10 and 11 are both rolling releases, which many Linux Distros have adopted as well, and with the pace of update and patch distribution lately most OSs have at least some of the flavor of a rolling release - 1313 patches from Debian under DSA-6528-1, and new DSAs every few weeks.

No, that’s the Strait formerly known as Hormuz.

Any cartography company with $2B handy to replace the dataset. They’re unlikely to buy it from Google, who is estimated to have already profited $9B from their investment.

People do occasionally travel outside of metro transport coverage.

unhappy that their parking isn’t convenient.

Oh no, not me, I’m perfectly fiiiine walking as far as necessary to get to my apartment from my parking space (says the people who are able to drive home in the middle of the day and park up for the night when everybody else is at work).

It’s not just lack of convenience, it’s behaviors: double parking, congestion, Oh I’m just going in for a second…