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In-reply-to » @aelaraji Ahhh! That would be even funnier and even more brilliant! đŸ€Ł If you can find this, I would happily employ this tactic next time and make 'em pay 💰 Bahahahaha đŸ€Ł

@aelaraji@aelaraji.com I like the sounds of this technique a lot redirecting these AI crawling assholes to multi gigabyte files! The only concern I have is how do you do it in such a way that you don’t end up destroying your own ISP speed test servers?

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https://fokus.cool/2025/11/25/i-dont-care-how-well-your-ai-works.html

AI systems being egregiously resource intensive is not a side effect — it’s the point.

And someone commented on that with:

I’m fascinated by the take about the resource usage being an advantage to the AI bros.

They’ve created software that cannot (practically) be replicated as open source software / free software, because there is no community of people with sufficient hardware / data sets. It will inherently always be a centralized technology.

Fascinating and scary.

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Not a day goes by at work, where I’m not either infuriated or frustrated by this wave of AI garbage. In my private life, I can avoid it. But not at work. And they’re pushing hard for it.

Something has to change in 2026.

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I used Gemini (the Google AI) twice at work today, asking about Google Workspace configuration and Google Cloud CLI usage (because we use those a lot). You’d think that it’d be well-suited for those topics. It answered very confidently, yet completely wrong. Just wrong. Made-up CLI arguments, whatever. It took me a while to notice, though, because it’s so convincing and, well, you implicitly and subconsciously trust the results of the Google AI when asking about Google topics, don’t you?

Will it get better over time? Maybe. But what I really want is this:

  • Good, well-structured, easy-to-read, proper documentation. Google isn’t doing too bad in this regard, actually, it’s just that they have so much stuff that it’s hard to find what you’re looking for. Hence 

  • 
 I want a good search function. Just give me a good fuzzy search for your docs. That’s it.

I just don’t have the time or energy to constantly second-guess this stuff. Give me something reliable. Something that is designed to do the right thing, not toy around with probabilities. “AI for everything” is just the wrong approach.

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In-reply-to » 
 and now I just read @bender’s other post that said the Gemini text was a shortened version, so I might have criticized things that weren’t true for the full version. Okay, sorry, I’m out. (And I won’t play that game, either. Don’t send me another AI output, possibly tweaked to address my criticism. That is besides the point and not worth my time.)

@bender@twtxt.net All good. ✌ It’s just that I’ve been through several iterations of this (on other platforms), AI output back and forth, pointing out what’s wrong, but in the end people were just trolling (not saying that’s what you had in mind), because apparently that’s “fun”.

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


 and now I just read @bender@twtxt.net’s other post that said the Gemini text was a shortened version, so I might have criticized things that weren’t true for the full version. Okay, sorry, I’m out. (And I won’t play that game, either. Don’t send me another AI output, possibly tweaked to address my criticism. That is besides the point and not worth my time.)

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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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In-reply-to » You do raise very good points though, but I don't think any of this is particularly new because there are many other examples of technology and evolution of change over time where people have forgotten certain skills like for example, changing a car tyre

@prologic@twtxt.net when I first “fed” the text to Gemini, I asked for a three paragraphs summary. It provided it. Then I asked to “elaborate on three areas: user experience, moral/political impact, and technical/legal concerns”. The reply to that is too long for a twtxt.

I then asked to counter the OP opinions—as in “how would you counter the author’s opinion?”. The reply was very long, but started like this:

“That’s an excellent question, as the post lays out some very strong, well-reasoned criticisms. Countering these points requires acknowledging the valid concerns while presenting a perspective focused on mitigation, responsible integration, and the unique benefits of AI.”

What followed was extensive, so I asked for a summary, which didn’t do justice to the wall of text that preceded it.

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

And, one last missed:

  • AI is Forcing Legal Modernization: The copyright double standard is a failure of outdated law. AI provides the necessary impetus for legal reform to either create fair compensation frameworks for creators or establish a clear new definition of fair use for data-driven models.

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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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In-reply-to » It happened.

@prologic@twtxt.net Nothing, yet. It was sent in written form. There’s probably little point in fighting this, they have made up their minds already (and AI is being rolled up en masse in other departments), but on the other hand, there are – truthfully – very few areas where AI could actually be useful to me.

There are going to be many discussions about this 


This is completely against the “spirit” of this company, btw. We used to say: “It’s the goal that matters. Use whatever tools you think are appropriate.” That’s why I’m allowed to use Linux on my laptop. Maybe they will back down eventually when they realize that trying to push this on people is pointless. Maybe not.

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In-reply-to » A mate just sent me Microsoft's magnificent master piece diagram regarding the end of life of Windows 10: https://support.microsoft.com/de-de/windows/windows-10-support-wurde-am-14-oktober-2025-eingestellt-2ca8b313-1946-43d3-b55c-2b95b107f281

@lyse@lyse.isobeef.org They’re seriously telling us at work: “Can it be AI’d? Do it, don’t waste time!” Shit like that is the result. (What’s this weird gray triangle in the bottom right corner?)

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In-reply-to » Hmmm 🧐 I'm annectodaly not convinced so-called "AI"(s) really save timeℱ. -- I have no proof though, I would need to do some concrete studies / numbers... -- But, there is one benefit... It can save you from typing and from worsening RSI / Carpal Tunnel.

@prologic@twtxt.net Ah, I see. Yeah, you might be right. (Still a fragile process due to the general AI wonkiness, but it can help to some degree, yes.)

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Hmmm 🧐 I’m annectodaly not convinced so-called “AI”(s) really save timeℱ. – I have no proof though, I would need to do some concrete studies / numbers
 – But, there is one benefit
 It can save you from typing and from worsening RSI / Carpal Tunnel.

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Triad Prague, is perhaps the only mainstream “Contemporary advertising” company, who fucking AI generates “pixelart” and everyone there is either too blind, dumb, or lazy, to at the very least, align the pixels, to a grid (or even check they’re square, the same size,
anything really).

I guess they must have some remains of shame and self preservation instinct, that made them sweep these off their portfolio website and set the video ads with them, to “Private” on YouTube.
https://youtu.be/s7GZK8FGRvA
But sadly not enough shame, to stop putting these on billboards, I have to see on daily basis and making new versions of them, with different inconsistent styles, of badly AI generated “pixelart”!

I checked their website, this is their footer, with the text that always overlaps - maybe they also never heard about CSS, can’t blame them, it’s only been a thing, since 1996.

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Nobel economist warns of AI dangers
A winner of this year’s Nobel prize in economics warned Monday that artificial intelligence offers “amazing possibilities” but should be regulated because of its job-destroying potential. ⌘ Read more

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Docker Model Runner on the new NVIDIA DGX Spark: a new paradigm for developing AI locally
We’re thrilled to bring NVIDIA DGXℱ Spark support to Docker Model Runner. The new NVIDIA DGX Spark delivers incredible performance, and Docker Model Runner makes it accessible. With Model Runner, you can easily run and iterate on larger models right on your local machine, using the same intuitive Docker experience you already trust. In this
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The Destruction in Gaza Is What the Future of AI Warfare Looks Like
Rhett Jones,  Senior Editor  -  Gizmodo

_Stephan: As I have watched Israel carry out its genocide of Muslims and wreak utter devastation on Gaza, and how the Ukrainians are defending themselves against Russia’s invasion of their country, without adequate help from the United States, what has stood out for me is the role AI technology is playing in both wars. This, I think, is the nature of 
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The A.I. Prompt That Could End the World
Stephen Witt,  Contributing Writer  -  The New York Times

Stephan: As I have watched the AI technology develop what has concerned me is whether this technology is going to be advanced to foster wellbeing for humanity, or just to ,make more money for a small group of oligarchs. If the motivating impulse is the later I think humans are in real trouble. Stephen Witt, author of The Thinking Machine seems to agree.

![](https://www.schwartzreport. 
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The ‘vibes’ are extremely off with Silicon Valley’s latest brain fart
We’ve learnt the hard way that we cannot trust Silicon Valley to do the right thing when left to its own devices. And that’s even more true for apps that are created by AI. ⌘ Read more

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A blueprint for zero-trust AI on Kubernetes
LLMs and AI are everywhere these days. Everyone wants to build the next big thing, ship it fast, and maybe even cash out and chill for the rest of their lives. The problem? Most open source
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How to Add MCP Servers to Claude Code with Docker MCP Toolkit
AI coding assistants have evolved from simple autocomplete tools into full development partners. Yet even the best of them, like Claude Code, can’t act directly on your environment. Claude Code can suggest a database query, but can’t run it. It can draft a GitHub issue, but can’t create it. It can write a Slack message,
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It happened.

“Can you help me debug this program? I vibe coded it and I have no idea what’s going on. I had no choice – learning this new language and frameworks would have taken ages, and I have severe time constraints.”

Did I say “no”? Of course not, I’m a “nice guy”. So I’m at fault as well, because I endorsed this whole thing. The other guy is also guilty, because he didn’t communicate clearly to his boss what can be done and how much time it takes. And the boss and his bosses are guilty a lot, because they’re all pushing for “AI”.

The end result is garbage software.

This particular project is still relatively small, so it might be okay at the moment. But normalizing this will yield nothing but garbage. And actually, especially if this small project works out fine, this contributes to the shittiness because management will interpret this as “hey, AI works”, so they will keep asking for it in future projects.

How utterly frustrating. This is not what I want to do every day from now on.

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AI Browser Dia Launches Publicly on Mac
The Browser Company’s Dia app is now open to anyone on Mac. It’s the first time the AI-powered browser has been widely available since its beta launch in June.

Image

Following on from Opera’s Neon, which arrived last month, Dia is another AI-first browsing experience that’s centere 
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Cloud Native Computing Foundation Announces Knative’s Graduation
Graduation marks Knative’s readiness for widespread production use, with upcoming features aimed at bridging legacy systems and expanding AI and cloud native integrations Key Highlights: SAN FRANCISCO, Calif. – October 8, 2025 – The Cloud Native
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Unlocking Local AI on Any GPU: Docker Model Runner Now with Vulkan Support
Running large language models (LLMs) on your local machine is one of the most exciting frontiers in AI development. At Docker, our goal is to make this process as simple and accessible as possible. That’s why we built Docker Model Runner, a tool to help you download and run LLMs with a single command. Until
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AI advance helps astronomers spot cosmic events with just a handful of examples
A new study co-led by the University of Oxford and Google Cloud has shown how general-purpose AI can accurately classify real changes in the night sky—such as an exploding star, a black hole tearing apart a passing star, a fast-moving asteroid, or a brief stellar flare from a compact star system—and explain its reasoning, without the need for complex training. ⌘ Read more

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Arduino UNO Q Combines Qualcomm Dragonwing QRB2210 and STM32 MCU
Qualcomm Technologies has announced its plan to acquire Arduino, marking a major development in the embedded and maker ecosystems. The acquisition aims to combine Qualcomm’s edge computing and AI expertise with Arduino’s large developer community and open hardware approach. As part of the announcement, both companies introduced the Arduino UNO Q, a new dual-processor development [
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Live: ASX to open steady as Wall Street slips from record highs
Gold prices surge to a new record, above $US4,000 an ounce, as the US government shutdown drags on past its first week, and the Australian share market is likely to open flat after Wall Street’s AI tech rally takes a breather. ⌘ Read more

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Can private information uploaded to ChatGPT be found by other users?
Data experts say it is hard to know what the implications are for 3,000 flood victims who have had personal information uploaded to the AI platform by a government contractor. ⌘ Read more

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How GitHub Copilot enabled accessibility governance process improvements in record time
See how we turned weekly accessibility grade signals into an automated, accountable remediation workflow—powered by GitHub Copilot and cross‑functional collaboration.

The post [How GitHub Copilot enabled accessibility governance process improvements in record time](https://github.blog/ai-and-ml/github-copilot/how-we-automated-accessibility-compliance-in-five-h 
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Deloitte erstattet Australien Geld zurĂŒck
Das Beratungsunternehmen Deloitte muss der australischen Regierung fĂŒr einen fehlerhaften Bericht Geld zurĂŒckerstatten. Das vom Arbeitsministerium fĂŒr umgerechnet knapp 250.000 Euro in Auftrag gegebene Dokument wurde offenbar zumindest teilweise per KI generiert und enthielt falsche Fußnoten und Zitate. Der peinliche Vorfall verweist erneut auf die TĂŒcken KI-generierter Texte und Bilder, die zunehmend als „KI-Gatsch“ („AI Slop“) bezeichnet werden. ⌘ Read more

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Powered by Docker: How Open Source Genius Cut Entropy Debt with Docker MCP Toolkit and Claude Desktop
This is part of the Powered by Docker series, where we feature use cases and success stories from Docker partners and practitioners. This story was contributed by Ryan Wanner. Ryan has more than fifteen years of experience as an entrepreneur and 3 years in AI space developing software and is the founder of Open Source
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Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Last week, Docker was thrilled to be part of the inaugural AI Engineer Paris, a spectacular European debut that brought together an extraordinary lineup of speakers and companies. The conference, organized by the Koyeb team, made one thing clear: the days of simply sprinkling ‘AI dust’ on applications are over. Meaningful results demand rigorous engineering,
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Adieu les pubs, bonjour les micropaiements AI ? Le partenariat Google Deepmind et Coinbase qui pourrait booster les créateurs
Enfin, les geeks vont enfin pouvoir avoir des copines virtuelles qui leur rĂ©clament de l’argent ! Eh oui, dans l’intelligence artificielle, les choses avancent dĂ©cidĂ©ment trĂšs vite et mĂȘme si le prĂ©cĂ©dent billet sur le sujet ne date que d’un mois, l’actualitĂ© impose d’y revenir alors qu 
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Radxa Announces Fogwise AIRbox Q900 for Industrial Edge AI
Radxa has announced the Fogwise AIRbox Q900, a rugged edge AI system powered by Qualcomm’s IQ-9075 processor. The compact unit delivers high-performance compute with industrial reliability, targeting real-time inference in manufacturing, robotics, smart cities, and research. The AIRbox Q900 is powered by the Qualcomm IQ-9075 SoC. It integrates an octa-core Kryo Gen 6 CPU based [
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Apple’s 2026 Smart Glasses: Five Key Features to Expect
Apple is working on a set of smart glasses to rival the Meta Ray-Bans, and now that Meta has debuted glasses that include a display, Apple wants to speed up development on its first-generation model. Work has stopped on the next Vision Pro so that Apple can prioritize getting the glasses to market.

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From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows
It’s 2 AM in a lab somewhere. A researcher has three terminals open, a half-written Jupyter notebook on one screen, an Excel sheet filled with sample IDs on another, and a half-eaten snack next to shell commands. They’re juggling scripts to run a protein folding model, parsing CSVs from the last experiment, searching for literature,
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[$] LWN.net Weekly Edition for October 2, 2025
Inside this week’s LWN.net Weekly Edition:

  • Front: Fedora and AI; Linting kernel Rust; openSUSE Leap 16; mmap() file operation; 6.17 statistics; dirlock.

  • Briefs: Bcachefs removal; Alpine /usr merge; F-Droid; Fedora AI policy; OpenSUSE Leap 16; PostgreSQL 18; Radicle 1.5.0; Quotes; 


  • Announcements: Newsletters, conferences, security updates, patches, and more. ⌘ Read more

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[$] Fedora floats AI-assisted contributions policy
The Fedora \‹Council began a process to create a policy on AI-assisted
contributions in 2024, starting with a survey to ask the community
its opinions about AI and using AI technologies in Fedora. On
September 25, Jason Brooks published
a draft policy for discussion; so far, in keeping with the spirit of
compromise, it has something 
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Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. ✹

The post [Spec-driven development: Using Markdown as a programming language when building with AI](https://github.blog/ai-and-ml/generative-ai/spec-driven-development-using-markdown-as-a-p 
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Docker MCP Toolkit: MCP Servers That Just Work
Today, we want to highlight Docker MCP Toolkit, a free feature in Docker Desktop that gives you access to more than 200 MCP servers. It’s the easiest and most secure way to run MCP servers locally for your AI agents and workflows. The MCP toolkit allows you to isolate MCP servers in containers, securely configure
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MSI EdgeXpert Compact AI Supercomputer Based on NVIDIA DGX Spark
The MSI EdgeXpert is a compact AI supercomputer based on the NVIDIA DGX Spark platform and Grace Blackwell architecture. It combines a 20-core Arm CPU with NVIDIA’s Blackwell GPU to deliver high compute density in a 1.19-liter form factor, targeting developers, researchers, and enterprises running local AI workloads, prototyping, and inference. The EdgeXpert achieves up [
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The Trust Paradox: When Your AI Gets Catfished
The fundamental challenge with MCP-enabled attacks isn’t technical sophistication. It’s that hackers have figured out how to catfish your AI. These attacks work because they exploit the same trust relationships that make your development team actually functional. When your designers expect Figma files from agencies they’ve worked with for years, when your DevOps folks trust
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Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo
Promptfoo is an open-source CLI and library for evaluating LLM apps. Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. The Docker MCP Toolkit is a local gateway that lets you set up, manage, and run containerized MCP servers and connect them to AI agents.  Together, these tools let
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MCP Horror Stories: The Drive-By Localhost Breach
This is Part 4 of our MCP Horror Stories series, where we examine real-world security incidents that expose the devastating vulnerabilities in AI infrastructure and demonstrate how Docker MCP Gateway provides enterprise-grade protection against sophisticated attack vectors. The Model Context Protocol (MCP) has transformed how developers integrate AI agents with their development environments. Tools like
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Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second year in a row
Our commitment is to empower every developer and stay true to our north star by building an open, secure, and AI-powered platform that defines the future of software development.

The post [Gartner positions GitHub as a Leader in the 2025 Magic Quadrant for AI Code Assistants for the second yea 
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Beyond Containers: llama.cpp Now Pulls GGUF Models Directly from Docker Hub
The world of local AI is moving at an incredible pace, and at the heart of this revolution is llama.cpp—the powerhouse C++ inference engine that brings Large Language Models (LLMs) to everyday hardware (and it’s also the inference engine that powers Docker Model Runner). Developers love llama.cpp for its performance and simplicity. And we at
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Since Google announced their intentions to heavily limit sideloading on Android, starting end of 2026, I’ve been looking for potential solutions, for this policy change, that threatens the majority of projects I maintain, in some way. Google already killed my browser project years ago, but I have no other choice, than to fight this, any way I can.

The best choice to deal with this, will probably be the Android Debug Bridge, which can be used not only to install apps unrestricted, but also to uninstall, or remove, almost any unnecessary part of the OS. Shizuku, combined with Canta Debloater, is the winning combination for now.

I’ve already removed most Google apps from my device: the annoying AI assistant, the stupid Google app adding the annoying articles, left of your homes screen, Google One, Gboard, Safety app
 it’s amazing, no distracting Google slopware, like in the good old Android 2 days! And I absolutely intend to keep it this way, from now on, no new Google apps or services on my devices, unless Google can give me a good enough reason, to allow them there and whenever the app that verifies signatures, to block installing apps not approved by Google, I’ll just remove it from my device and advocate others do so too.

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Observador a fazer debates autárquicos, a convidar CH mas não BE ou Livre (vem, convidaram-nos em Almada, mas só aí
 devia ser porque estavam a contar com eles para fazer oposição ao PS)
 acho que sim, faz todo o sentido, não vale a pena esconder ao que vão.

#observador #ptpol #autarquicas

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