As a fellow Futo user: it’s not great out of the box. My biggest recommendations are:

• under Languages and models, download all the voice models (if you use those), transformers, and wordlists you can for your languages
• if you use multiple languages, set the check on “multilingual typing” for ALL of those languages
• this is probably the biggest one: in text prediction -> Advanced Parameters, DRASTICALLY change the values. The original ones are 3.4 and 4.0 for LLM strength and autocorrect threshold, mine are currently set at 28.5 and 0.8, respectively. This takes the autocorrect from “occasionally working” to “as good as SwiftKey” for me.
• Keyboard and Typing -> Long Press -> Show hints. Could not find that for ages so thought I’d add it here.

Also, two super useful shortcuts: you can press the space-bar and move your finger around to move the pointer; and the same for backspace to fine-control what to delete.

Hope this helps, but if not… What additional gripes do you habe with it?

Will do! Thank you!

That sounds great. I think I’ve given it more than a month overall, but probably never longer than a week at a time. Guess I’ll have to have my SO hide my normal keyboard lol

I built and configured an Arkenswoop some time in 2023. It’s really nice. However… I have gotten quite fast on a conventional keyboard just by using it over the years, and re-learning that is just so tedious. Every time I try, something with a deadline comes up, and I switch back “temporarily”.

Anyone have experience overcoming this?

I have been listening to SO many audiobooks since getting Audiobookshelve ❤️

Fair… Sorry, I always forget how prominent Apple devices are in the US.

Thunderbird for mobile is great! And in contrast to the gmail app, search actually works, lol

Not really, no

DNS over TLS and similar are only encrypted to the first (local) DNS provider, and of course that provider knows the query as well.

It protects against 3rd-party eavesdroppers between you and your primary DNS provider, but does nothing for privacy beyond that.

Also getting rid of my T1 Diabetes and re-doing my transition, but yeah! Hedonism as well!

They blamed it on the communist party, yes. There were 8 parties represented in the Reichstag at the time though.

I am a bit confused tbh 😅

The link you send links to docker projects, the link I sent is the second one of those. Seems pretty straightforward?

But to be fair, I have never used docker for any of this. In my nix config, it’s literally just:

    services.prowlarr.enable = true;
    services.prowlarr.openFirewall = true;

There’s not really anything you need to configure host-side. Prowlarr needs to be able to communicate with sonarr and radarr (same as jackett), but otherwise it’s basically stateless.

Spend the rest of my life on a Culture orbital or GSV? FUCK YEAH

This?

Yes - but I have no idea about docker, sorry. Have it running baremetal (or rather, in a proxmox VM).

Just a hunch, but in case you “only” share the directory where Sonarr puts Episode files with Jellyfin via some mount point or whatever, and not the directory where Sonarr gets them from (where the torrent client downloads to), then I can see hardlinks breaking in unexpected ways

Sorry to hear that that’s been your experience! :( My installation has been running for ~5 years without any problems

Yeah no worries - I discovered Prowlarr from that exact same comment years ago so jumped at the opportunity to post it here 😆

Real question is, why Jackett instead of Prowlarr? 😄

I have one big frustration with that: Your voice input has to be understood PERFECTLY by TTS.

If you have a “To Do” list, and speak “Add cooking to my To Do list”, it will do it! But if the TTS system understood:

• Todo
• To-do
• to do
• ToDo
• To-Do
• …

The system will say it couldn’t find that list. Same for the names of your lights, asking for the time,… and you have very little control over this.

HA Voice Assistant either needs to find a PERFECT match, or you need to be running a full-blown LLM as the backend, which honestly works even worse in many ways.

They recently added the option to use LLM as fallback only, but for most people’s hardware, that means that a big chunk of requests take a suuuuuuuper long time to get a response.

I do not understand why there’s no option to just use the most similar command upon an imperfect matching, through something like the Levenshtein Distance.

Hard to put my lips finger on the reason, though