I’ve been following this project for a while; I hope it catches on.

You say that right up until a tracking cookie links some accounts together that otherwise weren’t and some nut job buys your data from a data broker and comes to your house to kill you.

As someone running diffusion and autoregressive models both in my basement and at work, the drive to create open-source models as a method of competition certainly makes me feel like I’m winning as a consumer.

Also, the first five digits were the same between the two numbers. Meta is guilty, but they’re guilty of grifting, not of giving a rogue AI access to some shadow database of personal details… yet? Lol

There are JS based torrent downloaders. That would work for the normies to get files, but you’d still have to find a way to convince people to host files on the backend. It’d probably take a full-on desktop client wrapper with an embedded torrent client but that’s a pretty hard sell for the average nerd if you’re upfront, and probably a harder sell if you’re dishonest about it.

That’s reasonable; I just wouldn’t have called my wife’s laptop my laptop I guess. It was either that or there was probably an interesting story behind it.

How many laptops do you own lol?

99% of the waiting time in my case is either waiting for file copies or waiting on SAP programs to run.

I wish I had low hanging fruit like that to go after.

I copy the install media locally. Although there is probably a noticable performance hot to running my main VM disk over the network.

They’re trying to, but market adoption has said so far that we’re unwilling to tolerate it.

Building a fully functional SAP system just takes that long in raw install time when your process also includes a sufficiently large system copy, and your hardware isn’t bleeding-edge.

It’s a massive application stack

I wrote and maintain a zero-to-working SAP HANA/S4 installer in pure bash.

It takes a redhat compatible from base install to a working, production-ready SAP system in about 5 hours.

It’s like ~9,000 lines of bash

I am fairly certain SmartTubeNext was a rebrand by the same dev.

If you make it only toonami ads I’m in tho

I had an opposing shower thought the other day so I’m going to play devil’s advocate on this one.

I think in a world of rational, good-faith actors (which I’m not arguing we live in), this is both by-design, and optimal at society scale.

Think about those things you’re good at, and the things you’re not so good at. I’m really good with computers, my time is most efficiently spent troubleshooting and building technology stacks. This skillset is in demand enough that I make a comfortable living doing it.

I’m comfortable enough that I have time to learn other skills when needed, but not comfortable enough to hire out all the otherwise commodity tasks I need done. A leak in the roof, a sink that needs replacing, some cat6 through the walls, leveling a floor before replacing broken tile from the 80’s… You get the idea. I can do drywall and other general contractor work but I’m not great at it. It takes me longer to end up with a worse end product than a professional, and I don’t enjoy doing it.

Every Saturday I spend doing drywall could, at society-scale, be much more efficiently spent building a k8s cluster or helping a scientist build software for research. Just like the guy doing my drywall should have a me on the other end of a phone when he needs a new laptop, or his mother gets malware.

When people hit “rich” the unspoken meaning is supposed to be that their time is valuable enough that society deems it more useful to spend it outside of commodity tasks. That seems like a good fundamental design… say what you will about its current real-world implementation.

Please do

I’m with you that he doesn’t strictly need a gpu, but if the price is right (free from old gaming PC, cheap from a friend’s old gaming PC, cheap old workstation card, etc) I stand by that he probably wants one. A lot less fussy, a lot more capable, nad nvenc does better quality encoding at lower bitrates (and probably less power too if you take into account time spent encoding at full tilt.)

Generally power supplies are the most electrically efficient at 20-60% utilization, so there’s no issue with over-provisioning power, other than the (generally minor) upfront extra cost, which might very well pay for itself in the first months/years of usage. I’ll take a look and see what I can find on those sites.

Edit: okay, trying to shop through google translate / currency calculator is actually aids so I’m gonna teach a man to fish instead. This is what I should have done from the start anyway.

Power supply: Anything from a decent brand, at basically anything >450W. a 650W or 850W is totally fine if it’s at a decent price. They only draw the power they need, they don’t just constantly pull 850W if the downstream components aren’t calling for it.

CPU: 12400 is a fine cpu for what you’re doing. You’ll transcode at 720p no problem, 1080p maybe a single stream in real-time. I wouldn’t bank on more than that. Only downsides here are the relatively shallow core counts if you ever expanded into other workloads. Without access to used xeon boards/cpus, it might be a reasonable choice though. What I would say is look for something older but with more cores/threads if you can. For example, a 10900 or even 10700k would probably be a better server cpu than a 12400.

Memory: DDR4 platforms are a great way to save money, as long as you aren’t planning on expanding to inferencing on cpu. Get as much as you can. 32-64gb of ddr4 should be dirt cheap, especially if you find a cheap motherboard with 4 memory sockets.

Motherboard: If you want this thing to be versatile, you want 2x pci-e slots. Old gaming full-sized ATX boards are the way to go here. 1 slot for an HBA, 1 slot for a GPU, and that should be all you need. Bonus for as many open sata sockets as possible. 6-8 is pretty typical on 10th-12th gen gaming ATX boards.

GPU: gpus will be much more efficient at transcoding than an igpu, especially from older intel CPUs. A 1050, 2060, 3050, basically anything from the 10-series onward has a decent nvenc encoder that would work well with plex/jellyfin. My goto is generally old workstation cards, I use a p620 myself and it handles a single 4k encode job no problem. I’m not sure if they’re viably purchasable anywhere in your area, but I’d definitely look out for a P620, P1000, or T400. Great value in those cards.

Drives/HBA: there are inexpensive LSI HBA cards to expand how many drives you can attach to a system if you need them, all you need is a spare pci-e slot and a place to physically mount the drives. The cheapest way to start here is to look for a motherboard with 4-6 sata slots and use those. Hardware raid is functionally dead these days in the real world, just use zfs or mdadm under linux to create an array with your desired level of resiliency/capacity.

Once you’ve priced out what it would cost to buy all of this new, look for prebuilt gaming PCs and office PCs that might be able to be expanded to fit these requirements. Prices look kind of steep on those markets you listed, but I’m sure something exists if you look hard enough.

The ASICs will come as soon as the architecture stabilizes. The problem with building specialized hardware today is it won’t necessarily be capable of running models that come out tomorrow.

happy to help!