what makes fusion viable at the core is there is a chance for nuclei tunneling through the barrier , that and the sheer size of the sun
192 karma · joined May 25, 2021
what makes fusion viable at the core is there is a chance for nuclei tunneling through the barrier , that and the sheer size of the sun
later on someone figured if you asked it to output a reasoning before it gave a response its output would have more logical coherence, as though the reasoning output tokens functioned as a scratch space for it to work on.
at the end its all next token prediction
carbon forms 4 bonds , if the 4 things bound to carbon are different then the molecule can be assembled in two ways ( mirror images like your left and right hand , similar but distinct as no rotation of your left hand can make it a right hand) and the two different arrangements rotate the polarized light in different ways . so if you have say CHDClF (carbon bonded to hydrogen , deuterium , chlorine and flourine) it is optically active
it was interesting to learn this , i thought it was a purely electromagnetic phenomena and the mass of the nucleus would not be relevant
but iodine 127 and iodine 131 do not have enough of a difference to show detectable optical activity
not actively developed anymore
you press a keybind and then press one or two characters , all instances of that character pair in the viewport will get get a hint (a characteror two in highlight) , hit those two hint keys and the cursor jumps to that location
its incredibly fast to navigate around your viewport with this.
neovim does not give a libneovim, but exposes an rpc where you communicate with neovim running as another process, this I would have thought have more latency but apparently is fast enough , this is how the vscode plugin for neovim is able to provide a near complete vim experience. Other neovim guis like neovide use this too
besides that if you could be more efficient than carnots cycle at two temperature you can spontaneously extract heat from a cold object and out it in a hot object without any input energy , this would mean you can have perpetual motion . we are not just going to bump a kardashev scale , were going to truly max out and go beyond.
fun fact the U S patent office has been bogged down by so many perpetual motion applications they have made it policy to outright reject such applications without a working model satisfactorily demonstrating it
in fact files in zig are just structs !
The package https://github.com/JuliaGPU/KernelAbstractions.jl was specifically designed so that julia can be compiled down to kernels.
Julia's is high level yes, but Julia's semantics allow it to be compiled down to machine code without a "runtime interpretter" . This is a core differentiating feature from Python. Julia can be used to write gpu kernels.
I would like to select first have a visual feedback of what I selected before taking action on it . Helix and kakuone have got this right .
I often find myself going to visual mode to emulate this.