@lyse@lyse.isobeef.org Awww, that sounds like a typical experience at school. 😅 They meant well but somehow it was still shitty …

I’ve never heard about that Wahlteil/Pflichtteil stuff (or forgot about it). Must be a BaWü thing. 🤔

FreeBSD Updates Its Graphics Driver Port From Linux 6.12 LTS
As part of improving the experience of FreeBSD on laptops and desktops, FreeBSD developers have updated their drm-kmod port against the state of the Linux 6.12 LTS kernel… ⌘ Read more

Reese Witherspoon’s Beloved Movies Are Finally Getting a Prequel Soon
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Introduction to the experience of rendering Arabic typography&its technical debt
Article URL: https://lr0.org/blog/p/arabic/

Comments URL: https://news.ycombinator.com/item?id=48516710

Points: 7

# Comments: 0 ⌘ Read more

@bender@twtxt.net Yeah, you absolutely must experience them yourself in person. :-)

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Netlify CTO Dana Lawson: Writing code is no longer the job
Article URL: https://thenewstack.io/netlify-agent-experience-engineers/

Comments URL: https://news.ycombinator.com/item?id=48435093

Points: 7

# Comments: 0 ⌘ Read more

Sigma BF Review (2026): Eccentric but Strangely Lovable
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@movq@www.uninformativ.de That’s my experience, too.

@movq@www.uninformativ.de Wow, I’m sorry to hear about that. Permanent emergency mode sucks, I’ve been there, and it always felt like drowning.

Fortunately, at my current job, we’ve been given time to keep our technical debt from overtaking the project. Unfortunately, we’ve been forced to use AI (mostly in the form of GitHub Copilot). Of course, now that the tokens cost more than a developer’s salary, they’ve been rethinking that position somewhat. 😁

In my experience, you are 100% correct - even in the best case, AI is a force multiplier. If the code is clean, it can speed you up. But if the code is a mess, it’ll just multiply the mess.

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Bees Can Use Tools To Solve Problems, Study Finds
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Show HN: Formally verified polygon intersection – Opus 4.8 oneshots, prev failed
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The experience of working with AI agents on this project changed a lot with recent model releases, as I describe in the readme. Opus 4.8 is able to provide algorithm implementation with formal proof in one shot, whereas previous models required me to provide proof strategies in multiple steps.

Trust in the correctness c … ⌘ Read more

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Journey to JPEG XL: open-source experiments shaped the future of image coding
Article URL: https://opensource.googleblog.com/2026/06/journey-to-jpeg-xl-how-open-source-experiments-shaped-the-future-of-image-coding.html

Comments URL: [https://news.ycombinator.com/item?id=48390688](https://news.ycombinator.com/ite … ⌘ Read more

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Please don’t spam people looking for employment. It’s just cruel
Earlier I posted in a “Who wants to be hired?” thread, looking for a place where I could apply my experience in hospitality, food tech and automation.

A couple hours later I received an email:

“Hi Ilia,

I saw your comment on the June Who’s Hiring thread. I build production-ready TypeScript and Python systems that integrate LLMs into real workflows, with particular focus on RAG, agent orchestration, and clear blah-blah-blah”

Come on.
I am a forced immigra … ⌘ Read more

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Meta Quest Promo Codes and Coupons for June 2026
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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. :-)

Budget 2026 in five charts
For the best experience, visit BusinessDesk for the interactive version of this article.

This year’s budget was fiscally prudent and some of it quite surprising. Here are five charts that tell the story. ⌘ Read more

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