I like this idea in concept. However in most cases failure is mostly due to power loss. So unless these seprate systems have different power sources it might not protect from catastrophy that much.
As some one who does aquaponics at home. Here are some things ive learned which you might consider.
For these reasons, I use aquaponics more as a backup and complimentary grow system to my no till regenative garden. Having an indoor system is great in the winter if you want leafy greens or to proprpgate trees for the next season.
After a man date, I like to do a man touch and man mount.
I agree. I only use linux. Which includes for gaming. And I game a lot.
I’d argue it’s better to use actual alternatives. Half of the issue with free and open source software is that it’s userbase is too small. If more people used it, it could actually improve in many ways.
Lets take gaming on Linux as an example. The userbase on steam is somewhere around 5%. So there is almost no incentive for developers to make games that run nativly on Linux. Its actually easier to run the games in a compatibility layer then to get a Linux port of a game. And although wine and proton work incredibly well, sometimes even running a game better than on windows; a Linux native version of every game would be ideal. Which will never happen with such a small userbase.
Next you have the terrible business practices of these companies. Even if you use the pirated versions. You are in their ecosystem and their community. You increase their profitability and their stock price simply by continuing the industry standard.
Pirated versions of software like this is excusable if you need it for work or sometihing. But imagine if instead of staying with the status quo, you use and help improve actual free and open source alternatives. Versons of software that don’t steal your data or monetize how you use it by selling your input to others or stealing it for “AI” datasets.
Imagine using free and open source software that gives you feedom because your data stays on your devices, your creations belong to only yourself or who ypu choose to share it with, and you work with others to improve it; even if it’s by just submitting bug reports. Imagine using something like that which you find so altruisticly beneficial that instead of pirating the software that has no respect for you, you donate money to the devs of free and open source software. Yes, I’m a pirate. But I do donate money to the right causes and something that protects my freedom is worth both my time and my money.
You could probably make a new issue in a wishlust repo that uses markdown checkboxes or something similar. Would be good if you already host Gitea or another git sever.
This is probably a good portion of return to office mandates too, this and wage theft from having less stocks elegiable to vest due to people quiting
Let’s go to our local Library
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You probably won’t be able to run an LTS kernel on a brand new PC that just hit the market. But using the most recent kernel for arch or a derivative like endevorOS should work after like a week maximum.
I did have an issue like this on Ubuntu and its what made me actually start distro hopping since it worked fine on fedora and Arch using the latest kernels.
In today’s market, the perception or even the profitability of a product means nothing. All that actually matters is growth.
For a publicly traded company, or even one that just uses venture capital to start up; the product isn’t the thing that they might sell to consumers, it’s their brand. This is what gives them more capital to continue running the company and ultimately to profit.
This means that a company no longer needs to make good products, they don’t need to keep customers happy, they don’t even need to be profitable. All they need is to show growth opportunities to potential investors.
I recommend adding ollama under the artificial intelligence tag.
In completely unrelated news, I now have a private repo on my private gitea that has a lot of c++ code
What type of metadata is on a server attached to posts, comments, votes and such?
Yeah needed it for my monitor. I didn’t want to figure out USB passthrough so I just installed Windows on a > 50,000 powered on hours HDD and booted from that. Then once I was done I put it about as far away as I could from my PC.
You are right. But proxmox and many of the other suggestions aren’t vms either.
If you are dipping toes into containers with kvm and proxmox already, then perhaps you could jump into the deep end and look at kubernetes (k8s).
Even though you say you don’t need production quality. It actually does a lot for you and you just need to learn a single API framework which has really great documentation.
Personally, if I am choosing a new service to host. One of my first metrics in that decision is how well is it documented.
You could also go the simple route and use docker to make containers. However making your own containers is optional as most services have pre built ones that you can use.
You could even use auto scaling to run your cluster with just 1 node if you don’t need it to be highly available with a lot of 9s in uptime.
The trickiest thing with K8s is the networking, certs and DNS but there are services you can host to take care of that for you. I use istio for networking, cert-manager for certs and external-dns for DNS.
I would recommend trying out k8s first on a cloud provider like digital ocean or linode. Managing your own k8s control plane on bare metal has its own complications.
Ok, hmm I wonder how much work it would be to implement it using open source models. I think the hardest part would be translating the voice instructions to an API call that HA can use correctly.
Then there is the whole hardware issue to fix too. I do know that some SOCs are getting good at running 7B parameter models locally but the cost is still probably going to be prohibitive.
So what is Home Assistant using for this?
If I were to build it myself I’d probably over complicate it by using multiple llm agents on a local server. Probably use whisper to do the speech to text and then Mistral fine tuned on the Rosetta code dataset to send the API calls to HA. However that wouldnt keep it from always listening to me and trying to interpret what I say into a command for HA. Is that just a prompting issue for whisper or would I need another agent to turn on whisper?
I could maybe get this to run without specialized hardware like a GPU but it would be better to have something for the llms to be a bit more responsive.
I’ve been parcooking rice like this for about 3 years now. It’s very little effort and doesn’t change the rice enough to matter.