Yup, been using it on an older roborock s5 for several years now. It's excellent and works flawlessly with home assistant. Cannot recommend enough. The robot running its own webserver while it cleans my apartment is still so funny to me.
I'm surprised no one is talking about the fact that the headset is ARM and that valve has been heavily contributing to the translation layer FEX.
I love my steam deck, but lately find myself reaching for emulation handhelds like the Retroid Pocket 5 more due to smaller size, especially when I'm leaving the house. There's already projects like GameNative that try to hack steam onto these devices, but if valve offers an official client on Android and other arm devices that would be incredible.
Edit: Some interesting insights in the FEX FAQ about why it's not a great fit for Android right now [0]. Interested to see if this ARM version of steamos is installable on other devices though. RP5 can already run alternatives like Rocknix
I’d try both, they tend to target different use cases. Proxmox doesn’t come with a lot of the tooling for things like SMB, LDAP, etc that Truenas ships with but you may find you don’t actually want any of these extras. In that case Proxmox would be a better choice IMO since it’s Debian based and a bit more streamlined.
IMO NAS setup is much more straightforward on truenas. It’s doable in Proxmox inside a VM or LXC, but true as exposes this all directly via a nice UI. I personally use Proxmox with a simple Debian NFS VM, but for less technical users that just want stuff to work I tend to recommend they stick with truenas.
Prime video has always been extremely buggy in my experience. It’s baffling that a product backed by someone as big as Amazon and part of their core prime offering can be so difficult to use. Then again Netflix has been getting much less usable over time and HBO is similarly buggy so maybe that’s just par for the course in streaming.
Also worth noting that editing recommendations are a part of the M365 office suite. I agree with those voicing concern as AI is very new still and can have huge implications at FAANG scale, but I’m not surprised to see Google at this.
The worst thing for me is slow docker performance. Not usually an issue on my work MacBook since I tend to do stuff on remote build servers, but it can be really annoying to spin up projects on MacOS without polluting your OS with all the dependencies.
There’s not really much way around this since Linux puts syscall traps in every binary rather than routing through a libsyscall.so that contains the traps. (If the latter were the case, a container could provide an alternate library to do syscall interception much more easily on non-Linux platforms.)
I think the reality is that most companies don’t have the skill set needed to maintain on-prem infra. A lot of us here take this kind of knowledge for granted, but most businesses don’t have the time or resources to build some of this stuff themselves so they reach for the cloud. You also see a lot of VC backed companies splurge on cloud as a trade off of money for rapid growth.
