Well, it is a podcast that is self-hosted and also focusing on self-hosting, Linux, DIY, and fully open source tools. My goal is to DIY everything possible using free and open tools. This episode is about going to a recent Linux conference, visiting a makerspace, and discussing distributed file shares of Tahoe-LAFS between a number of self-hosters.

What kind of work do you do? Curious since you don’t write by hand.

Do you scan or photograph such things?

Right on

Because multiple people asked about setting this up, so it is a group effort. Certainly doesn’t have to happen.

Well, I hadn’t hadn’t thought about that. Will definitely think about it.

I was looking at pip/python instructions. https://tahoe-lafs.readthedocs.io/en/latest/Installation/install-tahoe.html Seems there are docker compose instructions https://tahoe-lafs.readthedocs.io/en/latest/running.html#development-with-docker

My understanding is there is no public. Only you have access to your data.

I’m literally learning about it just like yourself.

Tahoe-LAFS is actually much older than Storj https://tahoe-lafs.org/trac/tahoe-lafs/wiki/OldNews

Please continue submitting questions! I will look into clarifying answers. Do see the documentation. FAQ is probably a good place to start: https://tahoe-lafs.org/trac/tahoe-lafs/wiki/FAQ

Awesome, glad you are enjoying. If you have any other thoughts or suggestions, feel free to hit me up; best! https://cloud.disroot.org/apps/forms/s/Lzai4d2A79iNsapnpbGbBGcH

Glad to hear it doesn’t come across as conflicting with something else. 💘

Yes, I’m running Castopod, which you can find on the fediverse at @[email protected] Basically, I am hosting this myself and people on places like Lemmy, Mastodon can follow episode releases and leave me comments directly from the fediverse. Pretty cool.

What else did you try and what was lacking?

I find your experiments inspired. Thank you! I’m learning about this myself on an rtx and excited to discuss on my little podcast.james.network one of these days. Been using paperless minus the AI functionality so far. About to start testing different AI services on an arm64 device with 16gb ram that claims some level of AI support; will see how that goes. Let me know if there are any other specific services/models you’d recommend or are curious about.

Which specific models did you try and how would you rank each is usability?

How do you like auto1111 as I’ve never head of it

afaik Ollama would fit that bill, but perhaps others can chime in. You could probably run it on your local computer with a small model based on CPU alone.

Not sure I know what that is. As in Hoarder?