True, many games sold physically are still faced with the risk of disappearing, due to DRM…

Quick note, in some countries you can get refurbished steam decks:

https://store.steampowered.com/sale/steamdeckrefurbished/

Department Of Grifty Edgelords.

I was trying to reason from how GPUs occasionally use a so called clamshell design where, if I understand correctly, they split their bus to reach double the number of memory chips. The chips are paired and respond to the same addresses but then each provide part of the data which is then combined.

Your example for vehicles got me confused, because as you point out, if you double the number of lanes while keeping the speed the same, you do effectively double the number of vehicles passing per unit of time, which is the bandwidth we are trying to achieve.

I’m sorry if I’m missing some important details but I am still rather confused.

PS: as per the specific framework memory speed specs, the halo strix chip maxes out at 8000, so 8533 is not supported, as per the specs I linked in the the post.

I think it has potential but I would like to see benchmarks to determine how much. The fact that they have 5Gbps Ethernet and TB4 (or was it 5?) is also interesting for clusters.

This computer is not a gaming machine (as they falsely advertised), because you can definitely get both more powerful and more upgradeable for less.

It is exclusively an AI computer. Its whole advantage is to provide massive high bandwidth memory. It serves only that purpose and it serves it amazingly well. For anyone else, it is not a good value proposition. But in the AI space, this machine is a fantastic value. There is nothing else out there with 128GB that even comes close in price. An RTX 5090 has 32GB and costs 2000 USD alone, without any other component. The nvidia digits probably won’t have 128GB and certainly not at that price.

This competes against Apple’s computers with their HBM where people run LLM lovally and it does it using many more standardized components and with a much more reasonable price.

This machine serves a niche exclusively and I don’t blame anyone for dismissing it, but it’s because it serves a very specific use case for which there is little to no alternatives.

Edit: yes the nvidia digits will have 128GB of shared memory, with 1 petaflops of int4 compute, source nvidia: https://nvidianews.nvidia.com/news/nvidia-puts-grace-blackwell-on-every-desk-and-at-every-ai-developers-fingertips starting at 3000 USD.

There is also the new one key module for hopefully new community designs on input modules for the framework laptop 16.

Was there an AMD upgrade for the framework 16? I thought not?

I’m guessing you meant this link https://www.notebookcheck.net/Framework-hints-at-AMD-Ryzen-Max-hardware-at-2nd-Gen-launch-as-AMD-joins-the-Feb-25-announcement.965678.0.html

Underspecced GPUs, overly expensive and now above all, incomplete? This is such a disaster launch, it’s laughable, but also insulting to the gamer community.

Would you be able to share more info? I remember reading their issues with docker, but I don’t recall reading about whether or what they switched to. What is it now?

It seems Signal has already pushed out a fix for this, which was abusing the QR codes to actually link a device when it was presenting itself as a way to join a group.

Paywalled: https://www.wired.com/story/russia-signal-qr-code-phishing-attack/

Well, in the case of legacy GPUs you are forced to downgrade drivers. In that case, you can no longer use your recent and legacy GPU simultaneously, if that’s what you were hoping for.

But if you do go the route of legacy drivers, they work fine.

I can’t speak about vulkan, but I had an old GTX 680 from 2012, that has worked without issue until a year back or so. I was able to get it recognized by nvidia-smi.

I had it running using the proprietary drivers, with the instructions from here, using the legacy method: https://rpmfusion.org/Howto/NVIDIA#Legacy_GeForce_600.2F700

Is that what you did?

PS: When I mean working without issue I mean gaming on it using proton.

A while back I was looking for a FOSS EDA and saw overwhelming support for Kicad, but some people reluctantly supported it exactly due to poor UX/UI. I was looking for something easy to pick up and I stumbled on LibrePCB and they are very user friendly to me. If you need particularly advanced features or depend on large existing libraries it may not be for you but for smaller hobby projects I think it’s great.

Perhaps worth a shot?

In December they pushed a pretty big update with many new features: https://librepcb.org/blog/2024-12-01_release_1.2.0/

In this case, without clicking any links in the email, why don’t you just simply go to the proton website manually and log in for good measure?

Do you mean the one the framework laptop ships with? That’s only for the exposed electronics in the DIY version, so maybe you mean something else?

I hear you, I always see this problem being solved by the link being in the description and the host saying “link in the description”. I hadn’t come across a situation where an audio only format was accessible and there was no way to interact with the content but in some corner cases it does make sense.

I don’t understand in what circumstances anyone would like to use link shorteners? I can only find reasons why not to use them:

• subject visitors to surveillance
• destination under the control of a third party (potential for ransom for the author, like we see here, and potential of ads for visitors like we see here)
• obfuscation of the actual destination
• how long will the redirect be valid for? It could be deemed unviable for the company to continue support of the redirect, thus rendering the destination inaccessible from all places where the shortened link is used.
• more…?

This is an article about the following youtube video: https://www.youtube.com/watch?v=VTsBP21-XpI

Edit: I recommend