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Use CachyOS or Bazzite instead.


why?


Easier to report issues and have a fix implemented?


they have NVIDIA


Can those be used without logging in online to Steam?


Only if you don't want to use Steam. I'm not really sure what point you think you're making here by constantly asking whether you can use SteamOS without logging in to Steam. You can however install literally anything you like on a Steam Deck.


It's nice on something like Steam Frame where it's hard to install a new OS. Forcing a log-in like Windows is evil and sucks when you don't have internet.


Nobody knows if it will be hard to install another OS on the Frame.


The hard part is making one work on it since none already exist like the hundreds that exist for normal computers like Deck. They might not let their 6dof headset tracking code be shared and getting that working would be very hard.


Given Valve's past history in this regard I'm inclined to believe it'll be possible to install whatever you like on the thing, and that there'll be a reasonably well documented way of integrating with the sensors/display. Valve have got decades of form on being as open as possible with their hardware and I've seen nothing recently to make me think that's changed.


Software wise their SteamVR / OpenVR stuff is very closed source. Someone had to reverse engineer their Lighthouse tracking which is hard but doing that is easier than making 6dof SLAM tracking just from camera access. All I am saying is its not easy and people will have to do hard work.


Yes, they are Arch and Fedora Atomic variants respectively and don't require any accounts or corporate affiliation.


Yes you can use SteamOS without logging into Steam too!


I got mine from a reputable German seller on Ebay. Avoided AliExpress due to the negative reviews on r/thinkpad.


Out of curiosity, what is your ThinkPad struggling with?


Intel AX210 card worked for me out of the box in Linux.


I have recently switched to Rustdesk and it has worked quite well for my use case.


People have different work preferences; some thrive working from home, while others do better in the office. I think the strong opinions about mandated office days stem from the fact that the job doesn’t necessarily require employees to be physically present.


While jobs maybe not require someone been physically present. So far over the last 2 years seeing multiple businesses do return to office, productivity sky rocketed. Sure a few people who didn’t want to return to the office left, but turns out they weren’t that productive. People are easy to replace now.


What are these places? How is productivity being measured?

All this talk of data and I have yet to see _anything_.


According to the extension homepage:

"DeArrow is an open source browser extension for crowdsourcing better titles and thumbnails on YouTube. The goal is to make titles accurate and reduce sensationalism. No more arrows, ridiculous faces, and no more clickbait.

...

There are currently 64,634 users who have submitted 230,432 titles and 107,027 thumbnails."


There's a common misconception that fresh pasta is always better over store bought.

In fact, there are two different kinds of pasta here fresh (egg based) and dried (semolina based) pasta.

Egg pasta can easily be made at home, without even the need for any machines.

Dried pasta requires industrial heavy duty machinery due to the force required to shape the pasta.

It's also important to note that not all sauces pair well with fresh pasta and same goes for dried.

Nowadays I'm careful when picking dried pasta from the supermarket. I have learnt that the more yellow the colour, and the smoother the texture, the lower the overall quality will be of the pasta.

Looking for these key indicators will give you pasta with better texture and pasta water to use for your sauces.


He's actually reviewing re3 which was the project DMCA'd by R* and involved manual decompilation rather than a complete reimplementation.

It's an interesting video to watch to get his perspective though.


It would depend on where most of the processing is happening.

PostGIS gives you the benefit of spatial indexes which are extremely performant.

I've seen Python GeoSpatial applications taking hours to finish processing which only took a few minutes when shifted onto PostGIS.

If you're also doing a lot of processing in Python, exploring other languages could also help. In the case of Julia you get a typed language that's also JIT compiled.


Geopandas has had spatial indexing available for quite a long time...

https://geopandas.org/en/stable/docs/reference/sindex.html

I think that the challenge for most is that the PostGIS query planner does the indexing for you in most queries, while a naive all-pairs comparison in geopandas/shapely won't tell you to use the .sindex attribute instead.


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