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Wine 10.19 Released With More Improvements
Ahead of the Wine 11.0 code freeze beginning in early December, Wine 10.19 is out today as the newest bi-weekly development release for running Windows games and applications on Linux… ⌘ Read more

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AMD GAIA 0.13 Released With New AI Coding & Docker Agents
AMD’s GAIA open-source project as a reminder is their “Generrative AI Is Awesome” quick-setup solution for demonstrating generative AI use on AMD hardware platforms with Ryzen CPUs, Radeon GPUs, and/or Ryzen AI NPUs. GAIA is predominantly Microsoft Windows focused but recently they did introduce limited support for Linux that is currently bound to Vulkan-accelerated GPU support. Out today is AMD GAIA 0.13 as another step forward for this AI demonstrator… ⌘ Read more

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Fedora 44 Looking At Replacing FBCON With KMSCON As Default VT Console
Fedora 44 is looking at replacing the Linux kernel’s console “FBCON” with the user-space-based KMSCON implementation. Eventually the hope remains to deprecate the FBCON/FBDEV code within the Linux kernel… ⌘ Read more

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Cagent Comes to Docker Desktop with Built-In IDE Support through ACP
Docker Desktop now includes cagent bundled out of the box. This means developers can start building AI agents without a separate installation step. For those unfamiliar with cagent: it’s Docker’s open-source tool that lets you build AI agents using YAML configuration files instead of writing code. You define the agent’s behavior and tools, and cagent… ⌘ Read more

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‘We never thought anyone would be that crass’: Media code designer roasts Meta
Facebook will not be able to simply remove news from its platform again, according to Australia’s former competition tsar, who designed the original bargaining deal. ⌘ Read more

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In-reply-to » Hmmm, looks like my twt hash algorithm implementation calculates incorrect values. Might be the tilde in the URL that throws something off. :-? At least yarnd and jenny agree on a different hash.

@lyse@lyse.isobeef.org Yeah, I noticed that too. I haven’t double-checked my code, though. Maybe it has something to do with selecting the correct URL? I mean, these feeds don’t have any # url = fields, so maybe that’s it?

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The State Of The Vulkan Renderer For Wayland’s Weston 15.0 Compositor
With the upcoming release of Weston 15.0, this Wayland reference compositor will finally feature a Vulkan renderer. For those curious about its potential, a presentation recently outlined the current state of this Vulkan code path… ⌘ Read more

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At Least Two New Open-Source NPU Accelerator Drivers Expected In 2026
Open-source developer Tomeu Vizoso who developed the open-source and reverse-engineered “Rocket” accel driver for the Rockchip NPU and also worked on the Etnaviv/Vivante NPU support and other related code like Mesa’s Teflon is teasing new NPU drivers coming in the new year… ⌘ Read more

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FFmpeg To Google: Fund Us or Stop Sending Bugs
FFmpeg, the open source multimedia framework that powers video processing in Google Chrome, Firefox, YouTube and other major platforms, has called on Google to either fund the project or stop burdening its volunteer maintainers with security vulnerabilities found by the company’s AI tools. The maintainers patched a bug that Google’s AI agent discovered in code for decoding a 1995 vi … ⌘ Read more

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My goodness, a new level of stupidity.

The bots are now doing things like this:

GET http://uninformativ.de/projects/lariza/feednotify/datenstrahler/slinp/countty HTTP/1.1
  1. That URL does not exist.
  2. By including http://uninformativ.de in that request, this instructs the webserver to do an HTTP proxy request. Of course, this isn’t allowed on my webserver (and shouldn’t by allowed on any normal webserver), resulting in HTTP 400. And even if it were, the target would be the exact same server, making a proxy request unnecessary.

And of course, it’s not just 50 hits like this or 100 or 1’000 or 10’000. No, it’s over 150’000 in the last 2 days. All from vastly different IP ranges of different cloud hosters.

This almost looks like a DDoS attack, but it’s just completely stupid. This feels more like some idiot vibe coded a crawler.

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Tencent Proposes Semantics-Aware vCPU Scheduling For Over-Subscribe KVM Linux VMs
Tecent engineers have been working on addressing long-standing inefficiencies within the Linux kernel scheduler code around over-subscribed virtualized environments… ⌘ Read more

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In-reply-to » I should work on my client again and add some new features. Like adding a new feed directly in the client and not having to go to the config first. And showing a preview of a feed before actually adding it. Also, a search would be something to add. And finally combining my User-Agent analyzer with my subscription list to spot new feeds automatically.

@lyse@lyse.isobeef.org an advent of code, I love it! Go, Lyse, go!

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AMD Preps More Graphics Driver Changes For Linux 6.19
AMD continues preparing more kernel driver code for Linux 6.19. This week another round of AMDGPU kernel graphics driver updates were submitted to DRM-Next ahead of the early December merge window… ⌘ Read more

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‘Vibe Coding’ Named Word of the Year By Collins Dictionary
Collins Dictionary has named “vibe coding” its 2025 word of the year – a term coined by Andrej Karpathy for when a user makes an app or website by describing it to AI rather than writing programming code manually. The term, which is confusingly made up of two words, was “one of 10 words on a shortlist to reflect the mood, language and preoccupations of 2025,” repo … ⌘ Read more

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Intel’s Rewrite Of Linux MM CID Code Showing Some Nice Gains For AMD
Posted last month were new Linux kernel scheduler-related patches rewriting the MM CID management code. The main takeaway for end-users from this set of 19 Linux kernel patches from an Intel engineer was seeing 14~18% improvement in a PostgreSQL database benchmark but that more benchmarks were needed. Curiosity got the best of me and I recently tested these patches on an AMD EPYC server to seeing some very enticing results for this in-development c … ⌘ Read more

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Intel’s Rewrite Of Linux MM CID Code Showing Some Nice Gains For AMD
Posted last month were new Linux kernel scheduler-related patches rewriting the MM CID management code. The main takeaway for end-users from this set of 19 Linux kernel patches from an Intel engineer was seeing 14~18% improvement in a PostgreSQL database benchmark but that more benchmarks were needed. Curiosity got the best of me and I recently tested these patches on an AMD EPYC server to seeing some very enticing results for this in-development c … ⌘ Read more

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Code-level telemetry instrumentation: From “oh hell no” to “worth it”
A platform engineer’s guide to developer buy-in Originally published on the author’s personal blog, whitneylee.com As platform engineers, we want the holistic system insights that instrumented code can give us –  yes, please. With code-level insights… ⌘ Read more

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Linux To Gain ML-DSA/Dilithium Post-Quantum Cryptography For Module Signing
New code likely to be submitted for the upcoming Linux 6.19 kernel would introduce ML-DSA/Dilithium post-quantum cryptography to be initially used for dealing with kernel module signing… ⌘ Read more

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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌

@prologic@twtxt.net Let’s go through it one by one. Here’s a wall of text that took me over 1.5 hours to write.

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

This section says AI should not be treated as an authority. This is actually just what I said, except the AI phrased/framed it like it was a counter-argument.

The AI also said that users must develop “AI literacy”, again phrasing/framing it like a counter-argument. Well, that is also just what I said. I said you should treat AI output like a random blog and you should verify the sources, yadda yadda. That is “AI literacy”, isn’t it?

My text went one step further, though: I said that when you take this requirement of “AI literacy” into account, you basically end up with a fancy search engine, with extra overhead that costs time. The AI missed/ignored this in its reply.

Okay, so, the AI also said that you should use AI tools just for drafting and brainstorming. Granted, a very rough draft of something will probably be doable. But then you have to diligently verify every little detail of this draft – okay, fine, a draft is a draft, it’s fine if it contains errors. The thing is, though, that you really must do this verification. And I claim that many people will not do it, because AI outputs look sooooo convincing, they don’t feel like a draft that needs editing.

Can you, as an expert, still use an AI draft as a basis/foundation? Yeah, probably. But here’s the kicker: You did not create that draft. You were not involved in the “thought process” behind it. When you, a human being, make a draft, you often think something like: “Okay, I want to draw a picture of a landscape and there’s going to be a little house, but for now, I’ll just put in a rough sketch of the house and add the details later.” You are aware of what you left out. When the AI did the draft, you are not aware of what’s missing – even more so when every AI output already looks like a final product. For me, personally, this makes it much harder and slower to verify such a draft, and I mentioned this in my text.

Skill Erosion vs. Skill Evolution

You, @prologic@twtxt.net, also mentioned this in your car tyre example.

In my text, I gave two analogies: The gym analogy and the Google Translate analogy. Your car tyre example falls in the same category, but Gemini’s calculator example is different (and, again, gaslight-y, see below).

What I meant in my text: A person wants to be a programmer. To me, a programmer is a person who writes code, understands code, maintains code, writes documentation, and so on. In your example, a person who changes a car tyre would be a mechanic. Now, if you use AI to write the code and documentation for you, are you still a programmer? If you have no understanding of said code, are you a programmer? A person who does not know how to change a car tyre, is that still a mechanic?

No, you’re something else. You should not be hired as a programmer or a mechanic.

Yes, that is “skill evolution” – which is pretty much my point! But the AI framed it like a counter-argument. It didn’t understand my text.

(But what if that’s our future? What if all programming will look like that in some years? I claim: It’s not possible. If you don’t know how to program, then you don’t know how to read/understand code written by an AI. You are something else, but you’re not a programmer. It might be valid to be something else – but that wasn’t my point, my point was that you’re not a bloody programmer.)

Gemini’s calculator example is garbage, I think. Crunching numbers and doing mathematics (i.e., “complex problem-solving”) are two different things. Just because you now have a calculator, doesn’t mean it’ll free you up to do mathematical proofs or whatever.

What would have worked is this: Let’s say you’re an accountant and you sum up spendings. Without a calculator, this takes a lot of time and is error prone. But when you have one, you can work faster. But once again, there’s a little gaslight-y detail: A calculator is correct. Yes, it could have “bugs” (hello Intel FDIV), but its design actually properly calculates numbers. AI, on the other hand, does not understand a thing (our current AI, that is), it’s just a statistical model. So, this modified example (“accountant with a calculator”) would actually have to be phrased like this: Suppose there’s an accountant and you give her a magic box that spits out the correct result in, what, I don’t know, 70-90% of the time. The accountant couldn’t rely on this box now, could she? She’d either have to double-check everything or accept possibly wrong results. And that is how I feel like when I work with AI tools.

Gemini has no idea that its calculator example doesn’t make sense. It just spits out some generic “argument” that it picked up on some website.

3. The Technical and Legal Perspective (Scraping and Copyright)

The AI makes two points here. The first one, I might actually agree with (“bad bot behavior is not the fault of AI itself”).

The second point is, once again, gaslighting, because it is phrased/framed like a counter-argument. It implies that I said something which I didn’t. Like the AI, I said that you would have to adjust the copyright law! At the same time, the AI answer didn’t even question whether it’s okay to break the current law or not. It just said “lol yeah, change the laws”. (I wonder in what way the laws would have to be changed in the AI’s “opinion”, because some of these changes could kill some business opportunities – or the laws would have to have special AI clauses that only benefit the AI techbros. But I digress, that wasn’t part of Gemini’s answer.)

tl;dr

Except for one point, I don’t accept any of Gemini’s “criticism”. It didn’t pick up on lots of details, ignored arguments, and I can just instinctively tell that this thing does not understand anything it wrote (which is correct, it’s just a statistical model).

And it framed everything like a counter-argument, while actually repeating what I said. That’s gaslighting: When Alice says “the sky is blue” and Bob replies with “why do you say the sky is purple?!”

But it sure looks convincing, doesn’t it?

Never again

This took so much of my time. I won’t do this again. 😂

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Mesa Lands Fixes For HDR With Vulkan Drivers
Merged overnight to Mesa 26.0-devel and likely to be back-ported for the upcoming Mesa 23.3 release are a few fixes around high dynamic range (HDR) support within the common Vulkan windowing system integration (WSI) / display code… ⌘ Read more

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Cloudflare Makes Open-Source The Rust Code To Tokio-Quiche
Cloudflare announced today they have open-sourced the code to Tokio-Quiche as their async QUIC library that combines their previously-open-sourced Quiche QUIC implementation with Rust’s Tokio async runtime… ⌘ Read more

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In-reply-to » @bender Thanks for this illustration, it completely “misunderstood” everything I wrote and confidently spat out garbage. 👌

@movq@www.uninformativ.de this I find more worrisome, and saw no mention of it on your text: Right-Wing Chatbots Turbocharge America’s Political and Cultural Wars (gift article).

Enoch, one of the newer chatbots powered by artificial intelligence, promises “to ‘mind wipe’ the pro-pharma bias” from its answers. Another, Arya, produces content based on instructions that tell it to be an “unapologetic right-wing nationalist Christian A.I. model.”

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In-reply-to » For the innocent bystanders (because I know that I won’t change @bender’s opinion):

@movq@www.uninformativ.de Gemini liked your opinion very much. Here is how it countered:

1. The User Perspective (Untrustworthiness)

The criticism of AI as untrustworthy is a problem of misapplication, not capability.

  • AI as a Force Multiplier: AI should be treated as a high-speed drafting and brainstorming tool, not an authority. For experts, it offers an immense speed gain, shifting the work from slow manual creation to fast critical editing and verification.
  • The Rise of AI Literacy: Users must develop a new skill—AI literacy—to critically evaluate and verify AI’s probabilistic output. This skill, along with improving citation features in AI tools, mitigates the “gaslighting” effect.
2. The Moral/Political Perspective (Skill Erosion)

The fear of skill loss is based on a misunderstanding of how technology changes the nature of work; it’s skill evolution, not erosion.

  • Shifting Focus to High-Level Skills: Just as the calculator shifted focus from manual math to complex problem-solving, AI shifts the focus from writing boilerplate code to architectural design and prompt engineering. It handles repetitive tasks, freeing humans for creative and complex challenges.
  • Accessibility and Empowerment: AI serves as a powerful democratizing tool, offering personalized tutoring and automation to people who lack deep expertise. While dependency is a risk, this accessibility empowers a wider segment of the population previously limited by skill barriers.
3. The Technical and Legal Perspective (Scraping and Copyright)

The legal and technical flaws are issues of governance and ethical practice, not reasons to reject the core technology.

  • Need for Better Bot Governance: Destructive scraping is a failure of ethical web behavior and can be solved with better bot identification, rate limits, and protocols (like enhanced robots.txt). The solution is to demand digital citizenship from AI companies, not to stop AI development.

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GitHub Copilot tutorial: How to build, test, review, and ship code faster (with real prompts)
How GitHub Copilot works today—including mission control—and how to get the most out of it. Here’s what you need to know.

The post [GitHub Copilot tutorial: How to build, test, review, and ship code faster (with real prompts)](https://github.blog/ai-and-ml/github-copilot/a-developers-guide-to-writing-debugging-reviewing-and-shipping-co … ⌘ Read more

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Debian to add hard Rust dependency to APT
It seems like a number of Debian ports are going to face difficult times over the coming months. Debian developer Julian Andres Klode has sent a message to the Debian mailing lists that APT will very soon start requiring Rust. I plan to introduce hard Rust dependencies and Rust code into APT, no earlier than May 2026. This extends at first to the Rust compiler and standard library, and the Sequoia ecosystem. In particular, our code to parse .deb, . … ⌘ Read more

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Microsoft breaks Task Manager in Windows 11, hard
Let’s take a look at how things are going at Microsoft, whose CEO claimed a few months ago that 30% of their code was generated by “AI”. After installing Windows Updates released on or after October 28, 2025 (KB5067036), you might encounter an issue where closing Task Manager using the Close (X) button does not fully terminate the process. When you reopen Task Manager, the previous instance continues running in the background even th … ⌘ Read more

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Tool descriptions are eating up all your AI tokens (but they don’t have to)
The vast majority of developers now use AI coding assistants daily. As these tools become more advanced and widely adopted, usage quotas and rate limits have also become a familiar frustration. Many providers enforce weekly or… ⌘ Read more

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Building a unified hybrid cloud with Infrastructure as Code at RBC
Managing infrastructure across a hybrid cloud environment—spanning public platforms and private data centers—presents a major challenge. Organizations must balance compliance, cost control, and developer experience while delivering consistency at scale.  At RBC, we addressed this by… ⌘ Read more

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