klankin

I’m not at all experienced this stuff so sorry if this is obvious - but how is that different from hardware?

Its not like valve is reimbursing cash for the hardware after bought, theyre both just some materials (that can be sold elsewhere for cash) right?

Dont the cards have value?

Like the “hasnt left the lab in 75 years” thorium reactors (Which current designs still need enriched uranium)? and the recycle reactors that produce weapons grade plutonium (Of course, also via enriched uranium)? Id love to see you

No I dont mean those, I mean the CANDU’s, a viable system that has been operating for around the same amount of time thorium has been in development hell (again, 75 years).

Are you trying to say america has never had a nuclear disaster on record? Cause its pretty easy to google that US has had more nuclear accidents in the 2000’s than canada has in the past century. The Three Mile Island meltdown was probably the worst nuclear accident in north america, its hardly reasonable to ignore it. Unless you count uranium mining accidents, cause then the Church Rock uranium mill takes the crown.

And which country has ~2000 nuclear reactors? I must have missed this in my research, with those numbers they account for approximately 4x the total number of reactors in the world, a surprising oversight. (Or are you doing some football math that 94/19 = 100x? Cause even if 94/19=5x then per capita america is still lacking)

And developed a reactor that doesnt need enriched uranium, removing the risk of weapons development.

And have been one of the few countries to deploy reactors under budget and on time.

Not all of north america.

Canada is a world leader in nuclear and number 3 for hydro for example.

Admittedly it is pretty confusing, but its spec describes it as “json with functions”, and once you get a handle on the recursive aspect of it (and that it kinda smushes multiple imported jsons together), its not too bad.

Stupid useful too

Am I having a stroke or are you intentionally describing nixos

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).

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?

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.

Pihole is, traefik is a reverse proxy like nginx

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

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.