I think part of the issue is that historical software quality was an artefact of its time… if you can’t easily patch your released products, you need to work harder to ensure they’re functional. If the only way for people to learn about how your product works in the documentation you ship with it, the docs need to be useful and comprehensive.

The combination of software needing no guarantee of merchantability or fitness for any particular purpose and the internet rendered those pressures obsolete. Ship shit, fix later. Mass-scale a/b testing over past decade or two shows that most people seemingly don’t care if their software runs like absolute garbage, and is covered in adverts, and harvests all their personal data and the leaks all of it that wasn’t sold.

An incident-to-pr ratio that’s up by 250% is unfortunate, but it is not yet so bad that the end-users actually care enough to do anything about it, even assuming they can do anything.

This is by an llm-boosting firm, so be aware that it’ll have a lot of marketing in it. It doesn’t say nice things about vibe code (presumably because the authors want to sell you a solution) but the numbers are interesting even so.

https://www.faros.ai/blog/ai-acceleration-whiplash-takeaways

A few choice snippets, none of which will surprise anyone here:

4. For every code change merged, the probability of a production incident has more than tripled.

The incidents-to-PR ratio is up 242.7% as teams move from low to high AI adoption.

5. Bugs are accelerating, not stabilizing.

In our 2025 AI engineering report on the AI Productivity Paradox, bugs per developer were up 9% as AI adoption grew. In this dataset, that figure has risen to 54%

7. The most experienced people in your organization are being buried.

Median time to first PR review is up 156.6%. Average time spent in code review is up 199.6%. Median time in review is up 441.5%. The engineers with the deepest knowledge of the system are spending their most valuable hours unraveling plausible-looking code that should never have reached them in the state it did.

KDE showing how it should be done:

https://mail.kde.org/pipermail/kde-www/2025-October/009275.html

Question:

I am curious why you do not have a link to your X social media on your website. I know you are just forwarding posts to X from your Mastodon server. However, I’m afraid that if you pushed for more marketing on X—like DHH and Ladybird do—the hype would be much greater. I think you need a separate social media manager for the X platform.

Response:

We stopped posting on X for several reasons:

1. The owner is a nazi
2. The owner censors non- nazis and promotes nazis and their messages
3. (Hence) most people who remain on X or are clueless and have difficulty parsing written text (one would assume), or are nazis
4. Most of the new followers we were getting were nazi-propaganda spewing bots (7 out of 10 on average) or just straight up nazis.

Our community is not made up of nazis and many of our friendly contributors would be the target of nazi harassment, so we were not sure what we were doing there and stopped posting and left.

We are happy with that decision and have no intention of reversing it.

There are various other posts here on the general subject.

https://awful.systems/post/5897965

Omarchy is a deeply uninteresting and partially-assed project that has been thrust into the limelight because if the creator’s political leanings, not because of any merits it might have.

Shoutout to gleam.run whose web page has always (AFAIK) said

Black lives matter. Trans rights are human rights. No nazi bullsh*t.

It’s just more llm output, in the style of “imagine you can reason about the question you’ve just been asked. Explain how you might have come about your answer.” It has no resemblance to how a neural network functions, nor to the output filters the service providers use.

It’s how the ai doomers get themselves into a flap over “deceptive” models… “omg it lied about its train of thought!” because if course it didn’t lie, it just edited a stream of tokens that were statistically similar to something classified as reasoning during training.

I might be the only person here who thinks that the upcoming quantum bubble has the potential to deliver useful things (but boring useful things, and so harder to build hype on) but stuff like this particularly irritates me:

https://quantumai.google/

Quantum fucking ai? Motherfucker,

• You don’t have ai, you have a chatbot
• You don’t have a quantum computer, you have a tech demo for a single chip
• Even if you had both of those things, you wouldn’t have “quantum ai”
• if you have a very specialist and probably wallet-vaporisingly expensive quantum computer, why the hell would anyone want to glue an idiot chatbot to it, instead of putting it in the hands of competent experts who could actually do useful stuff with it?

Best case scenario here is that this is how one department of Google get money out of the other bits of Google, because the internal bean counters cannot control their fiscal sphincters when someone says “ai” to them.

When confronted with a problem like “your search engine imagined a case and cited it”, the next step is to wonder what else it might be making up, not to just quickly slap a bit of tape over the obvious immediate problem and declare everything to be great.

The other thing to be concerned about is how lazy and credulous your legal team are that they cannot be bothered to verify anything. That requires a significant improvement in professional ethics, which isn’t something that is really amenable to technological fixes.

A real ceo does everything. Delegation is for losers who can’t cope. Can’t move fast enough and break enough things if you’re constantly waiting for your lackeys to catch up.

If those numbers people were cleverer than the ceo, they’d be the ones in charge, and they aren’t. Checkmate. Do you even read Ayn Rand, bro?

she’s calling a“baby handler”—picture an exoskeleton crossed with a car seat. It’s a late-night soothing machine that rocks, supplies pre-pumped breast milk, and maybe offers a bidet-like “cleaning and drying situation.”For your children, perhaps, this is their first experience of being close to a machine.

Ah yes, famously the worst part of having children: touching them. Urgh. At least we can be pretty certain that this sort of thing will have no negative psychological impacts on babies and young children, who are famously disinterested in their parents, and neglect isn’t a thing!

Or, once the baby arrives, in nipple stickers that nursing parents could apply to track biofluid exchange. If the baby has trouble latching, maybe the sticker’s capacitive touch sensors could help the parent find a better position.

Do you know what the worst thing about breast feeding is? It is hard to monetise! Women just excrete milk! For free! Anyway, what if we could interpose a disposable data-harvesting device into the process, maybe on a subscription basis?

They’re rebranding American Christian milenaranism. Much like the second coming and/or the rapture, the AGI god will be here Real Soon Now, so please pay your tithes and trust that the church fathers are doing the right thing.

Much like the older cults it mirrors, it isn’t capable of delivering on its promises, but it is capable of doing substantial amounts of regular damage in the meantime, and that’s the only thing worth freaking out about.

They could have just sat there and slurped up enormous profits from the bubble as all the people who can’t find a use for their “AI” systems buy nvidia hardware, but no. They had to get high from their own supply. I can’t see this boding well for them.