If you were actually hoping to buy one but the rounded corners are a dealbreaker, then you may be interested to know that the DIY edition lets you mix and match the older display with the newer motherboards. Looks like opting for the older display even saves you $130 on the purchase price.

Out of curiosity, what software is normally being run on your clusters? Based on my reading, it seems like some companies run clusters for business purposes. E.g. an engineering company might use it for structural analysis of their designs, or a pharmaceutical company might simulate the interactions of new drugs. I assume in those cases they’ve bought a license for some kind of high-end software that’s been specifically written to run in a distributed environment. I also found references to some software libraries that are meant to support writing programs in this environment. I assume those are used more by academics who have a very specific question they want to answer (and may not have funding for commercial software) so they write their own code that’s hyper focused on their area of study.

Is that basically how it works, or have I misunderstood?

This actually came up in my research. Folding@Home is considered a “grid computer” According to Wikipedia:

Grid computing is distinguished from … cluster computing in that grid computers have each node set to perform a different task/application. Grid computers also tend to be more heterogeneous and geographically dispersed (thus not physically coupled) than cluster computers.

The primary performance disadvantage is that the various processors and local storage areas do not have high-speed connections. This arrangement is thus well-suited to applications in which multiple parallel computations can take place independently, without the need to communicate intermediate results between processors.

I’ll have to look a little more into the AI stuff. It was actually my first thought, but I wasn’t sure how far I’d get without GPUs. I think they’re pretty much required for Stablediffusion. I’m pretty sure even LLMs are trained on GPUs, but maybe response generation can be done without one.

I’m not sure what you’d want to run in a homelab that would use even 10 machines, but it could be fun to find out.

Oh yeah, this is absolutely a solution in search of a problem. It all started with the discovery that these old (but not ancient, most of them are intel 7th gen) computers were being auctioned off for like $20 a piece. From there I started trying to work backwards towards something I could do with them.

I was looking at HP mini PCs. The ones that were for sale used 7th gen i5s with a 35W TDP. They’re sold with a 65W power brick so presumably the whole system would never draw more than that. I could run a 16 node cluster flat out on a little over a kW, which is within the rating of a single residential circuit breaker. I certainly wouldn’t want to keep it running all the time, but it’s not like I’d have to get my electric system upgraded if I wanted to set one up and run it for a couple of hours as an experiment.

Searx is a search aggregator. It masks your identity from the search providers, but under the hood it’s still just a middle man for google/bing results. I don’t see how this helps if the results themselves are getting worse.

Nice 'course there’s an Emacs command for that.

Suddenly I want to see a super smash bros knockoff where all the playable characters are public domain, and every January 1st they release an update with new characters that lost copyright protection in the past year.

Are there any viable alternative sites you’re aware of?

Slightly off topic, but as long as we’re ranting about DNS…

Proxmox handles DNS for each container as a setting in the hypervisor. It’s not a bad way of simplifying things, but if, hypothetically, you didn’t know about that, then you could find yourself in a situation where you spend an entire afternoon trying every single one of the million different ways to edit DNS in Linux and getting increasingly frustrated because the IP gets overwritten every time you restart the container no matter what you do, until eventually you figure out that the solution is just like three clicks and a text entry box in the Proxmox GUI!

…Hypothetically, of course.

I agree that Mariner’s role in the episode was nothing but a running gag, but I have to point out what an exceptionally well written running gag it was, both in terms of her character and her character development over the course of the series.

Mariner’s behavior in this episode tells us two things about her. First, she’s the type of person who can get stabbed three times in a single day and (mostly) shrug it off. This isn’t really a surprise. She’s has always been both tough and resourceful, but she’s also impulsive and emotional which too often results in her messing things up. Not this time though, and that’s the second thing the episode tells us. Mariner is maturing. In past seasons a knife in her shoulder would have resulted in either a fight or a great deal of grandstanding about what a badass she is for not caring that she got stabbed, but not this time. This time Mariner knows that she’s only here to support her friend.

Mariner is the running gag in this episode because now, perhaps for the first time, she can handle being the running gag. She knows that this adventure is about Tendi, and she’s not going to derail it over a little thing like getting stabbed three times.

I’m a big fan of upgradable hardware, but lately I’ve found that the bigger problem with Android phones is the lack of software support. I had my last phone for 5 years and finally upgraded not because there were any major hardware problems, but because the android version was so far out of date that I was starting to feel the pain of missing out on some major improvements, plus some apps actually were starting to break. I picked my current phone specifically because Samsung was promising to support four major version upgrades which is, unfortunately, industry leading among Android OEMs despite lagging hugely behind Apple’s software support for their older models.

Fairphone seems to have a mixed track record on this. According to their website the Fairphone 2 got 5 major updates (great!). But the Fairphone 3 got only one update (bad). And the fairphone 4 has received one update so far with a second one promised. After that they say that they’ll try to provide two more updates, but they’re not making any promises because the processor will be out of support with Qualcomm by then.

This is, unfortunately, a very understandable position to take. The fact that Android OEMs rely on third parties like Qualcomm to design and support their processors is definitely the major problem here. Big guys like Samsung and Google can throw their weight around and squeeze a year or two of extra support out. But for small players like fairphone it’s not surprising that they find themselves in this position.

The fact is that any sane company would prefer to make money selling new chips, rather than spending it to support old ones. This problem will persist until consumers start demanding longer software support on their devices and making it a major part of their buying decision.