klankin

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

I mean its more like self driving cars than cars themselves; it can work, but also steering wheels were created by the devs for a reason - even if most are too lazy to understand that reason.

Like I’d agree hand coding in assembly is (mostly) useless these days, but honestly I feel like the efficiency problems ai is trying to solve were largely solved 50 years ago with compilers.

(and like isnt digesting large outputs the entire point of being an engineering level dev? like if youre just there to pray to the software gods, you’d do much better as a CRUD script kiddie anyways)

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).

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

SElinux blocks this for aosp and its forks.

I largely agree, but I could see having a prebuild iso/img including uboot for most common boards being a lot more user friendly than doing it by hand.

That and a binary cache could make things take a couple mins for a download vs a couple days to compile the kernel + all packages for any user with lower end hardware.

Kinda like what armbian provides for the arm space, but with a lot harder initial curve by hand rolling their own distro.

Everywhere between the road and the ocean (ie the entire water table) but yeah no its not like we keep our food there or anything.

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.