I think steam randomly selects users each moth to contribute. You’ll get a pop up asking you to share.

Its been awhile since I took stats, but we should expect some fluctuations. Whether it’s statistically significant or not depends on the confidence intervals.

We’re going to have to start treating it like email with anti spam filtering and reputation. Things like rspamd are very advanced with a lot of signals that it uses.

Right now, the best part of the Fediverse is its weakest point: federation. I can easy spin up my own instance, connect it to lemmy.world and start posting. I can create accounts to make it look legitimate and it takes admins on one or more instance to first start banning individual accounts, then realize the entire instance should be banned. I can then create more domains if I want to. Lemmy.world uses CloudFlare’s anti-bot (which has its privacy ramifications) but that can be trivially be bypassed with federation.

I’ve been thinking Lemmy needs automated anti spam (content filtering) that then feeds into user and instance reputation to automatically flag domains, IPs, etc.

Look at the recent posts about Reddit’s anti-spam practices, it has the advantage of a single system able to collect a lot of metrics. Unfortunately you kind of need it to fight advanced spammers.

You can buy a Home Assistant hub which is a raspberry that comes with Home Assistant on it. It’s designed to be mostly plug and play, but isn’t near the simplicity of SmartThings yet.

Once it’s setup, a lot of devices can be just added and go. I’ve got my LG TV added and can turn it on, off, change inputs, etc. I have way more powerful automations and more devices on HA than I ever could on SmartThings.

Depends on your comfort level and interest level

Partially. I started with hosting my own llama3.2 + granite4 models using Ollama for my Home Assistant smart home and for general chat with OpenWebUI. I also run whisper for speech-to-text locally on my 1080 Ti GPU. I like the privacy and ownership of my self-hosted models, but I started to run into limitations with the small weights. So I built some tools that allow me to selectively route traffic to larger models hosted on DeepInfra depending on my need. For example, to GLM/Kimi models for code reviews or for my custom harnesses or harder problems.

Jellyfin does not handle NAT punching automatically to point that a non technical user can install an app on their TV, see one or more libraries, and connect to my server across the Internet. This is the biggest problem that Plex solves compared to Jellyfin. I can’t expect my parents to install Tailscale or make any changes to their network.

That being said I use Jellyfin. I just don’t share it with my friends.

Does it support Health Connect so I could import from other services or just Google Health? I’ve used Samsung Health for long time and want to move to something open.

15.0 adds support for OIDC tokens being handed to Actions workflows compatible with GitHub Actions. I was excited to upgrade because I wanted to continue doing cosign Docker image signing, but then I found out that the Cosign transparency log doesn’t support Forgejo. Looks like I need an alternative.

My next biggest problem is the Actions workflow itself. I setup Docker in Docker, but turns out there’s a bit of work in preparing the runners to be on par with what I used on GitHub.

Otherwise, I’ve found Forgejo to be quite good and almost all my private repos are moved over.

I wish I had some water meters that I could monitor to take advantage of the Energy dashboard, but sadly I don’t have a submeter I can access.

Home Assistant just keeps methodically getting better!

I use the HA Voice Preview in two different rooms and got rid of my Alexa Dots. I’ve been trying both speech-to-phrase and whisper with medium.en running on the GPU for STT, tried llama3.2 and granite4 for the LLM with local command handling

I’ve been trying to get it working better, but it’s been a struggle. The wake word responds to me, but not my girlfriend’s voice. I try setting timers, and it says done, but never triggers the timer.

I’d love to improve operating performance of my assistant, but want to know what options work well for others. I’ve been experimenting with an intermediary STT proxy to send it to both whisper and speech-to-phrase to see which one has more confidence.

I’d love for my HA Voice Preview to be sufficient to replace my Alexa/Google devices. I even unplugged my Alexa devices. However, it’s been rough going for me. It never responds to my girlfriend speaking the wake word and doesn’t set timers. There’s a number of knobs that define how well it works including the physical hardware (there’s obviously the Voice Preview, but also some community made versions with better mics,) wake word model, conservation LLM model and the speech to text model (whisper vs speech to phrase). If it works well for you, can you share your configuration you’re using?

That’s the option to publish it. I was curious about the aggregated results.

Is there a place to view the device database yet or is that coming soon?

EDIT: Found it here

I use it to play music from Jellyfin to my Sonos speakers. It won’t fix a Jellyfin library that has bad data, but it can pull in music from multiple different sources and push to different players.

It works well enough. Some issues where songs get interrupted, but I think that’s issue with the Music Assistant/Sonos integration.

Just an update. Firefox 146 just dropped with:

• Firefox now natively supports fractional scaled displays on Linux (Wayland), making rendering more effective.

After upgrading to 146 and natively using Wayland, it feels faster. Some fade animations are still choppier, but on average it’s at least tolerable.

Thanks for the suggestions everyone.

Interesting. I played around with X11 vs Wayland settings just to see what different configurations give me

• MOZ_ENABLE_WAYLAND=1 /snap/bin/firefox - Exhibits low FPS issue
• MOZ_ENABLE_WAYLAND=0 DISABLE_WAYLAND=1 /snap/bin/firefox - Actually feels fast like it should be. Most animations feel faster, some are still choppy though. It’s hard to tell.

It seems like running with X11 sort of the problem? Which seems unexpected and concerns me since I know distros are starting to default to Wayland.

Yep, both are plugged into the graphics card. Other programs and games are a lot faster.

If the app is just a WebView wrapper around the application, then the challenge page would load and try to be evaluated.

If it’s a native Android/iOS app, then it probably wouldn’t work because the app would try to make HTTP API calls and get back something unexpected.

Unless you’re running VLANs, in which case the inter VLAN is normally handled by the router. I also expose my home lab services over BGP so all my traffic hits the router then comes back to my lab services.

https://forum.syncthing.net/t/discontinuing-syncthing-android/23002

According to this post, it was partly that and lack of maintainers. Given there’s maintainers for a fork, I’m curious why they didn’t bring them into the main project.

Reason is a combination of Google making Play publishing something between hard and impossible and no active maintenance. The app saw no significant development for a long time and without Play releases I do no longer see enough benefit and/or have enough motivation to keep up the ongoing maintenance an app requires even without doing much, if any, changes.

We’re sort of in this situation because the official project decided not to continue providing an official Android app, yet people want to use it on Android forcing unofficial versions to be created and maintained.

I get that they don’t want to deal with Google Play anymore, but somebody has to deal with it and them not owning the app is putting users at risk.