@kiwu@twtxt.net I like your enthusiasm. Go, go, go! :-)

@bender@twtxt.net Hahaha! :-D

The Linux Kernel Ready To Make TSC A Hard Requirement For x86 CPUs
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ASUS ZenVision Laptop Lid Screen Reverse Engineered & Now Able To Work On Linux
ASUS ZenVision is a feature of some ASUS laptops like the Zenbook 14X OLED Space Edition where there is a 3.5-inch monochrome screen embedded into the top lid of the laptop. From this mini display embedded into the top lid of the laptop it’s possible to display animated themes, show the current date/time, battery status, or customized messages and the like. The practicality is rather limited as primarily it’s for showing off to people aro … ⌘ Read more

DataMasque raises $7m
Auckland startup DataMasque solved a real-life privacy and security problem for people who build software – or, more recently, for those who need to get a new AI-based app up to speed.

That helped it land marquee clients like payroll giant ADP, New York Life and the Best Western hotel chain in the United States and One NZ here. ⌘ Read more

Hinata likes it rough from behind (Kurotsuki Machi) [Blue Archive] ⌘ Read more

@bender@twtxt.net Doing tail -f access.log looks like a Matrix screensaver at the moment. Whoooooosh …

Launch HN: Expanse (YC P26) – Unlock Wasted GPU Capacity
Hey HN, we’re Ismaeel, Eren, Yafet and Nikodem. We built Expanse ( https://expanse.sh/) to increase the effective capacity of your HPC/GPU clusters running schedulers/orchestrators like Kubernetes and SLURM. We read the source code, job submission script, and the hardware a workload is about to run on to predict what the job actually needs before the cluster sees it. We also flag failures we think are about to happen and surface line-level opt … ⌘ Read more

‘Sexual Chocolate’ Faces Recalls After FDA Tests Reveal Undisclosed Viagra
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@itsericwoodward@itsericwoodward.com Excited to see twtxt tooling in the Node ecosystem! Any plans to implement the Twtxt v2 extensions? Things like Twt Hash + Subject (proper threading), Multiline, etc. — all documented at https://twtxt.dev 👀

@bender@twtxt.net Thank you, we think so too.

I’m glad you like it!

@movq@www.uninformativ.de Hahaha, a ride indeed. Exactly, this affected each and every Atom feed and only Atom feeds. All RSS feeds worked like nothing ever happened. This std::string to time_t to std::string to time_t dance only happens for Atom feeds. RSS feeds, on the other hand, go right from std::string to time_t and be done. That’s precisely what the second option is aiming to propose for Atom feeds, too.

I will clarify that tomorrow in the article.

It’s very interesting what kind of quirks accumulate in software over the years. Especially quirks, the basically noone knows of anymore. Until something explodes and gets rediscovered. Luckily, that doesn’t happen all that often.

@movq@www.uninformativ.de Wow, quite the background noise! I like the birds, though. :-)

@movq@www.uninformativ.de that was lovely! I especially liked the rain. I truly am a sucker for rain!

Last minute entry for #caturday (at least in this time zone)…

This is Shadow. He’s an incredibly sweet boy who likes long walks (on your shoulder), loving on his puppies, and laying in his bowl(s).

Image

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Keychron K2 HE Concrete Edition Review: Rock-Solid Typing
Keychron’s K2 HE Concrete Edition sounds like a cute gimmick, but as I discovered, there’s a really solid keyboard beyond the absurd choice of materials. ⌘ Read more

@prologic@twtxt.net

it’s “probabilistic” not “deterministic”

Yep, I know. And when I tell that to people and tell them “if we use AI here, we lose the ability to debug this stuff”, then all I get is: “But it’s good enough. We don’t need to debug this. Non-deterministic computing has its use cases.”

But that is just not how I’d like to model/implement our business processes. 🤔 I want something reliable, not “it mostly works”.

LIke with almost everything “big-tech” has done, it’s not the tech you should not trust, but the companies themselves. For example, accessing and using the models (because let’s face it, they have clusters of much larger and more powerful GPU clusters than we could ever afford to build and own ourselves, at least for now) is fine, but trusting their end-user products/services, not so much.

@prologic@twtxt.net Ahh, I see. Okay, I’m with you there. On this high level, I can understand how the thing works.

Maybe my wording isn’t good. 🤔 Let’s take a real life example from what we do at work.

There’s this AI chatbot. It gets support requests from users, so the user says something like “I need access to a particular system”. This triggers the bot to “run” the instructions stored in a large Markdown file, like “check if the user is authorized to do this, then issue the following API requests”, and so on. This is essentially like running a little script, except it’s written in natural language (German) and there’s no “script interpreter” but just the AI.

Now, suppose that the AI doesn’t quite do what was intended. There’s some subtle bug. How do you debug this? How do you find out how the AI came to the “conclusion” to run step A instead of step B? And how do you find out how exactly you have to change your prompt so this doesn’t happen again next time?

If this was an actual script/program instead of AI, you could repeat the request and attach a debugger or throw in some printf() or whatever. How do you do that kind of thing with AI? How do you pinpoint exactly what the problem was?

(Or is this just a stupid idea? Do we have to give up that way of thinking when using AI? Is the era of debuggability over?)

Most of the time, I take a very very long time to do anything. If I say, for example, “I’ll build an IRC Web Client”, that may not happen for weeks, if not months, until my sub conscience has has time to process everything. It’s like basically a “feeling” of internal readiness. I never talk through it, never actively think about it, it just happens.

@bender@twtxt.net Now that’s an interesting philosophical viewpoint right there. But this assumes that the “AI” we seemingly have available to us today is actually telligent, understands and has cognitive reasoning. It does not. All of these LLM models from big-tech companies like Anthropic, OpenAI, Google, Microsoft, Meta and Alibaba are all just very powerful, very large multidimensional neural networks with attention that are very good at statistical probabilities of ‘what comes next”. I think we get really upset over the wrong things sometimes. We need to continue to be upset that these 🤬 companies have basically destroyed any meaningful value of the concept of Copyright and Intellectual Property and Works of art. The so-called “AI” we have today is just a tool. Can you say for certain that the typewriter and the computer ruined our ability to write? Perhaps yes, but we still learn how to do so, likewise, I still think that learning to write code, research, read and write are all valuable skills to learn. Later on once you have the basics, you can defer some of the “tedious” work to these models, because frankly, they’re far better at inferencing and pattern matching than you or i will ever be, not because they’re better at pattern-matching per se, but because they have been trained on a very large corpus and they are much much faster at doing the same basic things we are far superior at.

@arne@uplegger.eu This is interesting. Sorry I missed this, I just found this post of yours and wanted to contribute 😅 Here’s something interesting about me… I don’t ever talk to myself, like ever. I have no, what they call, “inner monologue”. Maybe I’m odd, but my wife asked me this very same question a while back and I said the same, there is never anything in my head except ideas, visuals or sounds, sometimes all at once, but never an inner monologue of “talking to myself”.

@movq@www.uninformativ.de I’m very curious…

What I like about this whole computer stuff is that you can explore how
things work. You can dig through problems and solve them. Nothing is
more satisfying than finally understanding something after you scratched
your head for some hours.

Surely you could do the same with AI? Tinker with how it works, study it, understand it, build your own and realize what it really is (without all the big tech hype)?

Oppo Find N6: The foldable that finally rattles Samsung
Oppo’s Find N6 is the first book-style foldable that genuinely feels like a rival – and in some respects, a threat – to Samsung’s dominant Galaxy Z Fold line.

It has a near-invisible crease on its screen when unfolded, a larger battery, faster charging and respectable camera hardware, setting new benchmarks for what’s available in a foldable – at least among those available in the New Zealand market. ⌘ Read more

Show HN: AISlop, a CLI for catching AI generated code smells
Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops.

You can try it out with npx aislop sca … ⌘ Read more

@lyse@lyse.isobeef.org Alright. 😅

Yeah, don’t waste time on this. I have a vacation coming up and I won’t touch this subject, either. Fuck this shit.

I really like your style of writing, btw. It’s much calmer and less aggressive then mine. :-) When I turned my bullet points into paragraphs, I got a bit mad in the process.

This is like the 32nd iteration of that list and it was much worse in the beginning. 😂

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ANZ NZ appeals High Court ruling in CCCFA class action
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The bank estimates that its maximum potential liability across all class-action members arising from this decision is likely to be about $125 million. ⌘ Read more

@movq@www.uninformativ.de I really like your style of writing, btw. It’s much calmer and less aggressive then mine. :-) When I turned my bullet points into paragraphs, I got a bit mad in the process.

Sure, feel free to include anything you want. Regarding citing, this is where twtxt falls short in my opinion. Especially with feed rotation, classic links die quickly. Message hashes only help so much. Nobody outside the twtxt universe knows how to deal with them. So, not perfect for inclusion on a web page. Linking to a thread or message on some yarnd instance might be the more user-friendly option. But the disadvantage is that it’s “just” a mirror, not the primary or original source. In all reality, this could be considered splitting hairs, though.

I should have probably written a proper article. That would have given me time to review the result more carefully, too. ;-) Perhaps that’s something for the future. But honestly, I’m not sure if I really want to waste my time and energy on that subject. So many other fun or useless things come to mind right away that I could do instead. 8-)

So, yeah, do whatever feels best to you. I don’t mind being cited or linked, but I also don’t mind not to be cited or not to be linked to. :-D Not a helpful answer, I know. Sorry. ;-) But anyway, thanks for asking, mate! I do appreciate it.

To finish my thought, linking to my frontpage is probably also useless, since I deliberatly do not have a table of contents there. In fact, my entire frontpage is rather silly.

@lyse@lyse.isobeef.org Thanks! There are a few points in there that I’ll add to my list.

Your very first point is obviously crucial. “Writing code” is just the means to an end for many people and they don’t really care about it or like it, so they love AI. I had this in another draft (it refers to the other list I posted):

https://movq.de/v/614f14c3ef/ramble.txt

And this right here is so important:

simplicity is the real art and much harder to achieve.

Finding an elegant, simple solution is waaaaaaaaaaaaaaaaaay harder than anything else. And here’s the thing: I don’t get why nerds/techies don’t get “nerd-sniped” by this. A lot of people love building big stuff and then brag about being clever/competent because they were able to build that big thing – but once you realize that this approach is the lazy one, shouldn’t you make finding the elegant solution your goal? Doesn’t that give you more bragging rights?

(Am I being clear? Do you understand what I mean? 😅)

Of course, @movq@www.uninformativ.de! Most of my points are also included in your list.

First of all, programming is what I really do enjoy the most. So, it doesn’t make any sense at all to not do this anymore. “But you could use your now free time to do something much cooler and more valuable!”, others might reply. Fuck no, I don’t want to waste my time with other shit that doesn’t fulfill me, why on earth would I want to do that?

All this hallucination reduces quality badly. In my experience, it’s also happening much more rapidly than I expected. Even though developers are still supposed to own and understand whatever has been generated under their name and even be responsible for that, the sad reality is that teammates often blindly trust the AI output. “But I asked the AI and it told me that $this was impossible”, “I’ve no idea either, but the AI just generated it” are responses I get more often. What really makes my angry is when I point out a flaw and suggest an alternative and this is the reaction. It happened several times that just trying it out and seeing it clearly work to proof my point only took me half a minute, but people still did something handwavy else instead.

The learning effect is drastically reduced. The more time I spend on a topic, the better the odds that whatever I learned actually makes it over into long-term memory. It’s like if a collegue just says “do it like that” or “this solves your problem”, but neither explains the why or how. Somehow, people are still convinced that it’s a completely different story when you replace the human counterpart with a computer program in this equation.

Skills are unlearned. It’s like with automation in general, just much worse. You end up in a state where you’ve no clue how anything works under the hood or how to actually find out important information that are needed to solve your problem. You’re screwed when a process breaks out of the blue. Even though it can become also rather terrible, with classical automation you’re typically still be able to decipher how exactly the thing was supposed to do something.

The energy consumption is sooo high, I absolutely do not want to be a part in burning down our planet. I’m sure I find (and probably have long found without knowing) other ways to contribute to worsen our climate crisis.

The scraper part is already covered in detail in your list. :-)

I’m convinced that license and copyright violations are only played down or even refused entirely because companies want to make big money quickly. With the work of others of course. Their double standards are obvious, they still try to actively keep their own stuff secret and out of any training sets. At most for internal use only. Virtually noone in charge is interested in good long-term solutions. Short-term for the win, when disaster eventually strikes, the causers are long gone, the responsibilities in other hands.

Vendor lock-in is something that lots of folks are only realizing very slowly. It’s completely crazy to me. This drug dealer routine should be well-known by now. It’s fucking everywhere. Yet, people are always surprised when they found themselves caught in it.

Adding new AI stuff only increases complexity. But complexity is the enemy that everybody should fear and reduce as much as possible. Of course, this is not limited to AI at all. And everywhere I look around, people in charge looooove to make things way more complicated than they ever need to be. Yet, simplicity is the real art and much harder to achieve.

I don’t understand why we have to go back full force to the ambiguity of natural languages. This alone should be more than enough to realize what a stupid idea all that is. Linked to that is that the “instruction set” is interpreted differently with newer model versions. I mean, is has to be. Why else would somebody want to upgrade in the first place than to get more Powerful™ Features™?

Some people argue that with AI the democratization is empowered. However, in my view, the exact opposite is the case. Models are getting so large that you can basically not run them locally or even train them. So, you have to rely on whatever the vendor offers you and runs for you. In the end, this only gives the owners more power, the multi billionaires. Not exactly what I understand by democratization.

Finally, technology assessments are missing completely. Or they are faked such that mostly only the (questionable) benefits are listed. But all the negative impact is just ignored.

Let’s keep some popcorn around for when this all explodes. :-)

We’re currently at about 28-30°C, but the relative humidity is at a crazy low level of 20%. 😳 This actually feels pretty nice. If it only were always like that …

A Eureka machine that thinks like nature and explores what AI cannot
Article URL: https://iisc.ac.in/a-eureka-machine-that-thinks-like-nature-and-explores-what-ai-cannot/

Comments URL: https://news.ycombinator.com/item?id=48305446

Points: 5

# Comments: 0 ⌘ Read more

OMG, most of today’s new slang goes unspoken
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Illinois Lawmakers Just Passed America’s Strongest AI Safety Bill
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Interview session with Jonathan Corbet
The Linux Foundation will be hosting a\
live interview with LWN co-founder Jonathan Corbet. The event will
take place on Tuesday, June 2 at 8:00AM Pacific daylight time (UTC-7).
Registration is open for those who would like to attend. ⌘ Read more

Tech CEOs Are Apparently Suffering From AI Psychosis
An anonymous reader quotes a report from TechCrunch: There is a certain wildness in the tech industry these days that both mimics previous eras of large changes, like cloud computing (runaway costs in the early days), and is like nothing we’ve ever seen before (record revenues accompanied by mass layoffs). One possible explanation: tech executives, especially CEOs, are … ⌘ Read more

Sponsored: Budget 2026: The key questions
Budget day is almost here. Before the announcement on 28 May, now is the time to get across the issues most likely to shape the announcement and what they could mean for you. The 2026 Budget has the potential to shift the landscape significantly for businesses and individuals alike.

Our experts are across the key issues. We’ve pulled together a range of insights covering the topics most likely to feature, so you can walk into Budget day informed and ready to … ⌘ Read more

@movq@www.uninformativ.de If you really like to, you can try to negotiate with your employer that you can leave earlier. At least some mates were successful in that. I mean, it’s also in the company’s interest to not have to pay someone who has already mentally resigned long ago.

And on the bright side, you don’t even have to hand over anything. Your boss doesn’t have to look for a successor, so they can just let you go even sooner. This AI shit will simply continue whatever you did, no problem!!

It’s so crazy. I should probably also look for something else. :-(

@prologic@twtxt.net oh, I see, convoluted pleasures have taken over your time, eh? One day I will grow up to be like you. I hope. Maybe. 😅

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Cache Aware Scheduling Shows Nice Wins For AMD Zen 5 On PostgreSQL, Valkey, Network Performance
The long-in-development work on Cache Aware Scheduling looks like it will come to a head soon with it looking like Cache Aware Scheduling will land for Linux 7.2. Ahead of the upcoming merge window I ran some fresh benchmarks looking at different areas where this feature is shining. ⌘ Read more

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The AI bubble isn’t like the internet bubble
Article URL: https://pluralistic.net/2026/05/26/the-ai-will-continue/#until-morale-improves

Comments URL: https://news.ycombinator.com/item?id=48277784

Points: 11

# Comments: 1 ⌘ Read more

Btrfs Preps Huge Folios Support Ahead Of Linux 7.2
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