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Is Tesla Planning To Sell Modular AI Data Center Hardware?
Electrek reports:

Tesla wants to sell modular AI data center hardware, according to a new trademark application for a product called “Megapod.” The filing describes a complete, self-contained computing system for AI workloads


Tesla filed the “Megapod” trademark (serial number 99893717) with the U.S. Patent and Trademark Office this month, through its 
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In-reply-to » @lyse Awww, that sounds like a typical experience at school. 😅 They meant well but somehow it was still shitty 


@lyse@lyse.isobeef.org Yeah, I have a couple of teachers in my family and they all tell similar stories. 🙄

I have almost no recollection of my time at the “Gymnasium” anymore. I’m either traumatized by it or I wasn’t very interested in what happened there. 😅 But I have some vague memories of doing “computer stuff” at school. There certainly were computers and they certainly ran DOS games like Duke Nukem, that I do know. 😂 Just checked my records, and no, this wasn’t an official class. At best, it was one of those AGs. đŸ€”

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In-reply-to » @lyse Awww, that sounds like a typical experience at school. 😅 They meant well but somehow it was still shitty 


@movq@www.uninformativ.de Hahaha. It could have been worse, though. I’ve heard stories from others that were many levels crazier than what I experienced. And I’m glad that I was very, very lucky with almost all of my teachers throughout all of school. One of my maths teacher, who was also my computer science teacher then, is the reason I do what I do for a living. It’s all his fault! ;-)

Ja, possibly a BaWĂŒ thing. The ministry of education and cultural affairs changes the rules, curriculums and details every one or two years, anyway.

Said teacher had to fight real hard that he was allowed to teach CS in class 12 and 13. As a real subject, that is, not just an extracurricular activity („AG“). At first, the ministry refused, because we’re just am „allgemeinbildendes Gmyi“, not an „informationstechnisches Gymi“. It’s insane, you’ve got super motivated (and technically as well as humanly excellent) teachers and then forbid them to offer a class. What the hell!? (Fun fact on top, he had a doctor in CS and was also teaching at the university of applied sciences.)

Eventually, they granted permission to only have a two hours a week class („zweistĂŒndig, wie Nebenfach“). One or two years later – too late for me, unfortunately – they allowed four hours a week („vierstĂŒndig, wie Hauptfach“). But each pupil had to sign upfont that they will not take CS class in the Abi. That was still exclusive to ITGs only. Completely ridiculous.

I reckon, you can talk to any random teacher and they will endlessly tell you about very dubious decicions from the ministry. :-/

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In-reply-to » @lyse Ah, you mean the categorization. Yeah, that would never work in Windows, at least not without having a centralized package manager (so there’s one authoritative source of which program belongs into which category).

@movq@www.uninformativ.de That’s right, way harder than centrally managed. They even didn’t reach concensus over the main folder: “Alle Programme, “Alle Programme (x86)”, “All Programs”, “All Programmes”, etc. Anyway.

For class 11 (or maybe already in 10, I don’t remember exactly) we could choose either between traditional maths class with a graphical calculator or “Mathe mit CAS”. There were two teachers in my entire school who were able to teach the latter. It was also fairly new at the time I believe. Certainly unheard of for a „allgemeinbildendes Gymnasium“, maybe the technical ones were already offering it for some time, not sure. It was clear to me that I would take the maths with CAS class.

Each kid had to buy their own Cassiopeia A-Something. I don’t know how much that thing was (definitely more expensive than a graphical calculator) and whether the school subsidized that in any form. But it was slow and underpowered as hell. We rarely used it in class nor for homework (most if not all had already a desktop at home). Typically, when we worked with the CAS, we sat down on the desktop computers. Our class took place in one of the two computer rooms. The desktops were placed on the three sides (left, right, back, facing the walls or windows) and the regular school desks were in the middle. Since there were more pupils than desktops, we always shared. Nowadays, we call it pair programming. ;-)

For the exams we had the “mandatory part” (Pflichtteil) without any tools. Once we finished that and handed the papers to our teacher, we were then allowed to boot up our Cassiopeias and work with them for the second part. Before the exam started, everyone had to show the teacher that they reset their small computer to factory settings. This second part was called „Wahlteil“. But you had to do it in order to pass. So, I never understood the choice of this term. Maybe it’s because the first part is the exact same for everyone (graphical calculator and CAS class), but the second part was definitely different for the two classes. Each suited to their tools.

After one or two exams, it became clear that the Cassiopeia was far from ideal. So, we took the second part at the desktop computers from then on. Our teacher unplugged the network cables himself to avoid cheating. Each computer had an “HDD Sheriff” running that reset the disk at startup. There was also an issue that the personal user accounts were affected by that. Sometimes all your data were lost. If you were lucky, they were still there. So, we saved our Maple project to local disk (if the computer didn’t crash in between, that was no problem) and at least eventually before leaving the classroom, we then also saved it on the server. For that, the teacher quickly plugged in the cable, we saved, and then the cable was unplugged again immediately. Oh, and everybody used their USB sticks, too.

All in all, this Cassiopeia A-* was quite a useless purchase. :-D I’m not sure if I still have it. At least I thought several times about giving it to the flea market. Don’t know if I did or not.

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AI and Brain-Computer Interface Allow Speechless ALS Patient To Work a Full-Time Job
UC Davis researchers say an implanted brain-computer interface has allowed Casey Harrell, an ALS patient who cannot speak, to synthesize sentences from brain activity with 99% accuracy in controlled tests and about 92% accuracy in everyday use. The Register reports that the system has remained usable at 
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In-reply-to » @lyse In what way was KDE 3’s menu organized? KDE 1 is the only KDE version I ever used. 😅 We’re talking about this one, right?

@movq@www.uninformativ.de Yes, this screenshot. However, not the Dutch but rather the German version, no wonder it looks so crazy!!1!11

It’s been a hot minute or two since I last used KDE, so I don’t remember exactly. I just vaguely recall that I found myself thinking multiple times that the KDE application categories were better matching or there were more or something like that. Most of my classmates were on Windows and had one giant long list of all sort of stuff in there. You even had to scroll in the menu. Sure, they installed all kind of garbage, which didn’t exactly help. Where in KDE, they were actually grouped by Office, Internet, Graphics, Multimedia, Games, etc. In Windows, applications usually hid themselves in a sub folder named after the software vendor. At least in the later (?) days.

I only used Win 95, 98 and XP at home. For maths class with computer algebra system (Maple), we had a Cassiopeia with Win CE: https://en.wikipedia.org/wiki/Casio_Cassiopeia At school, there was probably also Win 2000, but I don’t know anymore for sure.

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Intel Compute Runtime Now Advertises Early Support For Nova Lake, Introduces Experimental “LEO”
Intel’s open-source Compute Runtime stack for OpenCL and oneAPI Level Zero on their graphics processors has been bringing up Nova Lake support since January. With today’s release of the Intel Compute Runtime 26.22.38646.4, the Nova Lake Xe3P support has matured to the state of it being advertised now as under an “early support” status
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Framework Computer Making Progress On Coreboot For Their Modern Intel-Powered Laptops
While we have seen Coreboot work-in-progress support for older Ryzen-powered Framework Laptops, it seems there is a recent uptick in development around supporting Coreboot on Framework Computer’s modern Intel-powered wares
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Fedora 45 Considering A Lightened GRUB Bootloader For Confidential Compute
Among the changes being considered for the in-development Fedora 45 is a lightened version of the GRUB UEFI bootloader that would focus on being a minimal implementation suitable for confidential computing
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ReactOS “Open-Source Windows” Reaches The Milestone Of Being Able To Run Half-Life
ReactOS, the open-source operating system working for binary compatibility with Microsoft Windows computer programs and drivers, has reached the milestone of being able to enjoy the classic game Half-Life running on this open-source platform
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Framework Laptop 13 Pro To Begin Shipping In July
Framework Computer began informing those that pre-ordered the new Framework Laptop 13 Pro that it will begin shipping in July rather than their original June target. The setback is coming to address two issues that came up in their testing process that delayed the start of mass production
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Scooby-Doo: Origins Live-Action Netflix TV Show Adds 15 to Cast
Netflix has revealed 15 cast members for Scooby-Doo: Origins. The upcoming show marks the franchise’s first live-action adaptation for television. While previously live-action theatrical films in 2002 and 2004 were featured in the franchise, Scooby-Doo Origins will debut as a live-action TV show. It will also feature a real Great Dane instead of computer-generated imagery. [
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The post [Scooby-Doo 
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RISC-V CPU Performance Up 8x In Five Years: SiFive HiFive Unmatched To SpacemiT K3
Recently I published some initial SpacemiT K3 benchmarks for that first-to-market RISC-V RVA23 SoC with the K3 Pico-ITX mini computer. In there was a comparison against modern Intel Core Ultra and AMD Ryzen desktop CPUs along with the likes of the Raspberry Pi 5, Loongson 3B6000, and SiFive HiFive Premier. For those curious about the longer-term RISC-V performance, here is a look at how far the RISC-V hardware performance has co 
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Apple Announces Siri AI, Next Generation of Apple Intelligence
At WWDC 2026, Apple announced a new “Siri AI,” describing it as a more conversational, personalized, and systemwide assistant that can understand on-screen context and interact with apps while relying on on-device processing or Private Cloud Compute. The relaunch comes two years after Apple’s original Apple Intelligence promises stumbled and “never f 
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Google Will Pay SpaceX $920 Million Per Month For Compute
Ahead of its upcoming IPO, SpaceX announced that Google will pay the company $920 million per month for access to roughly 110,000 Nvidia GPUs and related compute infrastructure. Google says the agreement is short-term “bridge capacity” to meet stronger-than-expected demand for Gemini Enterprise, while SpaceX is using deals like this and its Anthropic contra 
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Ubuntu To Ship Newer AMD ROCm Updates Via SRUs
As noted back in April, with Ubuntu 26.04 LTS it’s now possible to simply “apt install rocm” on Ubuntu Linux for installing AMD’s open-source GPU compute stack. But as prominently noted there, what’s shipped right now in Ubuntu 26.04 LTS is already months out of date compared to upstream ROCm. Fortunately, Canonical shared today that moving forward they plan to ship newer ROCm versions as stable release updates (SRUs)
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European Parliament Ditches Google For French Search Firm
The European Parliament is replacing Google with French search engine Qwant as the default on in-house computers, citing digital sovereignty and privacy concerns. Politico reports: As of Thursday June 4, “Qwant will replace Google as default search engine on European Parliament computers,” officials told lawmakers in an email seen by POLITICO. The change is be 
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AMD Submits More Graphics Driver Changes For Linux 7.2
On Friday was the latest AMDGPU/AMDKFD pull request landing more kernel graphics/compute driver improvements in DRM-Next ahead of the Linux 7.2 merge window happening in mid-June
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ćŸźèœŻć…ŹćŒ€ 45 ćčŽć‰ DOS æșç ïŒšćœ“ćčŽçš„ä»Łç æ˜Żäž€æ‘žæ‰“ć°çșž
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In-reply-to » @movq I'm very curious...

@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. đŸ€” I want something reliable, not “it mostly works”.

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In-reply-to » @prologic don’t get mad at me, but the long block of text didn’t address any of my questions. 😜😅

@bender@twtxt.net Fine, Let me answer properly and concretely 😅

Would you want your children not to learn anything, because “they have AI”?

No, children still need to learn. That will never change. What they learn however will over time.

Are you OK with your children using the AI for all of their homework?

Yes, frankly I am. Why? Because much of what we teach them in school is utterly pointless.
For example, learning to read Shakespear never taught me anything useful in my life. I regret much of my school years to be honest.
I leanred to read and write, sure. But I learned Math, Science, Computing and how things work on my own by being very curious.

What sense will it make?

That assumes I answered “no”, which I did not. So it all makes perfect sense :D

What kind of future would that bring for them?

This assumes I said “Yes”, which I did :D It will be an itneresting future that’s for sure. I don’t think we can just bury our heads in teh sand and pretend it’s all going to go away, It will not. It will make things very interesting for sure, as we’re already starting to see what’s possible and what’s changeing. For example; ordinary people are using these LLM(s) to write their legal suit and defense in courts with varying levels of success.

Even if AI were to become omniscient, what will it be of the human race then?

I’m not convinced it ever will. In fact, I am not convinced we know how to create true intellience at all.

What would we do?

What would be so different from say an Alien invasion from far superious beings?
What would we do that? Band together and defend humanity?

Serve the AI? Maintain the AI?

That assumes that “AI” will become intelligent and omniscient, which I don’t believe it ever will.

Would we have found the true meaning of life then?

If the meaning of life is to create our own sub-species liken to ourselves, sure, maybe. But is that even a reality? not sure, I doubt it. We barely understand ourselves at the best of times, let alone how our minds works.

To care for AI, Is that it?

How would this be different to caring for a friend, a family member If we could ever truly reate an actual sentient being with real feelings and intelligenace, is there any reason to worry? Could we not be freinds and have mutual goals and form relationships?

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In-reply-to » @lyse Thanks! There are a few points in there that I’ll add to my list.

@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 đŸ€Ź 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.

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In-reply-to » @lyse Thanks! There are a few points in there that I’ll add to my list.

@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)?

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AMD ROCm 7.2.4 Released With Performance & Stability Fixes
AMD’s ROCm open-source compute stack is up to version 7.2.4 stable as it continues seeing new fixes while on the tech preview feature side is the recent ROCm 7.13 release
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CachyOS Delivers Lead Over Arch Linux, Pop!_OS & Ubuntu On System76 Thelio Major
The new System76 Thelio Major powered by the AMD Ryzen Threadripper 9000 series and optionally with the Radeon AI PRO R9700 graphics card for an all-open-source AMD Linux stack is a mighty powerful workstation. If desiring even more compute potential out of this high-end desktop/workstation, CachyOS works pretty darn well on this new system with lofty leads over upstream Arch Linux as well as Ubuntu 26.04 LTS and the stock Pop!_OS 24. 
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In-reply-to » I’ve started collecting reasons against AI usage here, so I don’t have to repeat myself all the time:

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 Powerfulℱ Featuresℱ?

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. :-)

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Intel Arc Pro B70 BMG-G31 Linux Gaming Performance
In recent weeks we have been exploring different areas of the Intel Arc Pro B70 graphics performance on Linux from various OpenCL and Vulkan to Level Zero compute benchmarks, scaling up to four Arc Pro B70 graphics cards, comparing to NVIDIA RTX PRO Blackwell, and other relevant tests. While not intended for gaming, many Phoronix readers keep raising requests for seeing the Arc Pro B70 performance for Linux gaming given the lack of any consumer BMG-G31 GPU. So fo 
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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 
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Linux Driver To Expose Voltage Inputs For Raspberry Pi SBCs
The Raspberry Pi hardware monitoring driver “RASPBERRYPI-HWMON” is being extended to allow exposing voltage measurements on these ARM single board computers
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ReactOS Now Running On ARM64 In Experimental Form
ReactOS as the “open-source Windows” project working to implement binary compatibility for computer programs and drivers for Microsoft Windows now has experimental support for running on 64-bit ARM
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Meet Mark Zuckerberg’s right-hand man
By Meghan Bobrowsky

Tensions were running high at Meta Platforms.

For weeks, rumours circulated that the company was planning a large layoff as it poured tens of billions of dollars into artificial intelligence. Then, employees were told their keystrokes and mouse clicks would be recorded to help train AI agents to use computers. ⌘ Read more

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Use Tiny11 to Rescue a Computer Running Windows 10
If you can’t—or don’t want to—upgrade to full Windows 11, consider this lightweight version of Microsoft’s operating system that works on a wide range of computers. ⌘ Read more

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