

Beautiful. Thank you!


Beautiful. Thank you!


Friend, how do I do Seerr in Jellyfin? Could you post a link?


Sounds almost like we work for the same company. 😂 Perhaps they all lifted this statement from the same consultancy contractor.


Am in automotive and there’s definitely some of that. Much more so than in other industries I’ve worked. With that said, it’s a losing battle against the value proposition of AI. We’re getting AI use mandated on us.


The only way for us to not “do this to ourselves” is to form unions. Otherwise we aren’t driving the decisions on what is used and what’s prioritized at all.


Combine that with the sharp pain this is about to bring:



Perhaps the contradictions between Israel’s interest and Trump’s voter base’s would finally reach a breaking point and the US would slap Israel and ragequit the war?


I should have qualified - decent as in quality in comparison to the other fast food options. 😄


Erm, not that I’m a fan of Starbucks at all but they absolutely have decent real coffe that has zero sugar in it. Several blends in fact.


And another vote for it. It’s been great. The only thing I miss is it doesn’t have multi-speed support but most setups don’t have multi-speed motors anyway.


Old off-lease ThinkPads from corporate fleets as always.


Are they now about to discover there are other people who are itching to take his place? IRGC people for example.
Our prod version is 0.0.178


Is this stuff that competent physiotherapists know about? I had lower back issues and was going to physio for recovery from another joint fracture. The physiotherapist gave me some exercises for the back pain. I don’t recall what they were but the pain disappeared and it hasn’t returned 8 years later. I’m wondering of it was these kind of exercises.
The acl, norm, xattr, dnodesize options are all to make ZFS behave like a Linux filesystem and are pretty standard for using ZFS on Linux. They aren’t default because ZFS’ defaults are for Unix.
I do:
sudo zpool create \
-o ashift=12 -O acltype=posixacl -O compression=lz4 \
-O dnodesize=auto -O normalization=formD -O relatime=on \
-O xattr=sa \
mypool \
raidz2 \
wwn-0x5000cca284c06395 \
wwn-0x5000cca295e115f3 \
wwn-0x5000cca2a1ef9c90 \
wwn-0x5000cca295c03910 \
wwn-0x5000cca29dd216b0
I’m then going to optimize recordsize depending on the workload in datasets. E.g. Immich db might use 8K or 16K recordsize while the library dataset where the files are might be larger so that search is faster. Etc.


Install Ollama on a machine with fast CPU or GPU and enough RAM. I currently use Qwen3 that takes 8GB RAM. Runs on an NVIDIA GPU. Running it on CPU is also fast enough. There’s a 4GB version which is also decent for device control. Add Ollama integration in Home Assistant. Connect it to the Ollama on the other machine. Add Ollama as conversation agent to the Home Assistant’s voice assistant. Expose HA devices to be controllable. That’s about it on high level.


HA with local LLM on Ollama. Can imtegrate the Android app as the default phone assistant. I don’t think it can use a wake word on the phone though. I invoke it by holding the power button, like a walkie.
And that’s a part of the material conditions we operate in. We ignore them at our peril.