klankin

Physics is a mathematical model with the most proven utility to humans.

If you have a model more applicable to a situation, youre free to use it, but its pretty unlikely to be as broadly applicable as modern mathematical physics (A thousand times so when considering computers).

But yeah the study of physics is 100% math (And its not 100% a perfect model of reality! Thats why we study it).

Theres a couple options from the past 5 or so years, you can find most of them here, most notably DRM native context virgl can approach native speeds.

There is some concerns about isolation, so its not an enterprise solution - but I believe chromeos currently uses DRM native virgl to run a steam gaming VM, and its android subsystem within a VM.

Theres also another couple options that are less async, more secure but quite a lot slower, and less optimised to each device.

(of course there is also passthrough and vGPUs, but like you mentioned these have higher hardware requirements)

That and an actively hostile hardware environment to open source dev in the aarch world.

OS’ on x86 are also a nerdy niche, yet Linux numbers are growing by the day, even seeing large vendors moving to first part support. None of this is allowed to exist in the mobile market exclusively for the profit margins of a few companies.

Side note imagine how cool it would be in a world without that enshitification, old phones could be recycled for 90% of pi projects, with better specs than the most expensive pi.

Finally, the first negative efficiency solar panel

Can’t mount networked filesystem’s in android, but you can use a file browser app to emulate the same thing.

You can mount /var and /tmp to the ssd, lot of tutorials on doing this for Pis SD cards if your googling.

The only substance I can see to it is when do you draw the line from a modified Debian (or Ubuntu) setup to a “new” distro?

If you start with an Ubuntu image its technically possible to ship of Theseus it right into an Arch image, but you could argue the default config of both is best representative of the actual distro maintainers goal (even if irrelevant to power users).

(Saying this all as a NixOS user with a system that hardly even looks like Linux sometimes so maybe I’m a bit biased on how blurry all the lines are lmao)

SElinux blocks this for aosp and its forks.

Modular custom single-program kernel running in a VM live migrated across a cluster?

No no the fearmongering headline says “Linux root” it must be a kernel issue, not some obscure unnecessary meta package manager.

Distribution throughout the vehicle would be laughibly trivial, and calling using batteries ‘generation’ is weird, but they are still like 99% efficient.

Probably means the efficiency loss burning gas (in power plants much more efficient than cars) is counted for electric vehicles, but ignored for gas vehicles through some crazy mental gymnastics.

Its also a US study published in 2018, so this is an expected bias.

Honestly pretty sure their comment is AI generated, so dont waste too much time analysing it

A/B testing, dont worry you’ll get it son enough.

Whoops, autocorrect strikes again

Mid-range networking equiptment common in higher end homelabs or small/medium enterprises.

Doesnt compete with fancier Cisco gear, but has an easy to use interface that can scale fairly well.

Though like most networking equiptment the hardware is dirt cheap, so Alpine’s lightweight base fits it well.

Most ubiquity equipment is alpine I believe

nice misgendering bro

We dont yet have proof AI can “imagine” new things, just interpolates between existing. For complex relationships such as realistic fluid/particle dynamics it also requires billions of inputs before approximating reasonable outputs - so the cost to potentially nonexistent ROI timeline just doesnt add up. Its made even worse if youre already simulating billions of viable simulations, just to generate thousands.

This is why most modern techbro AI requires massive internet piracy, without already having the training data readily available (but not efficiently simulated) the algorithms arent worth much.

Tangentially this is why such algorithms have many applications in the medical field, they generally have access to a large dataset of human annotated diagnosis that can’t readily be created by a computer.

Mind linking the relavent simplex SMP/xftp windows container then?

Docker desktop for Windows runs under WSL or Hyper-V, both being VMs themselves.

Arguably running a Linux VM themselves will only offer them more customisation options (although may be heavier than WSL)