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.

https://codeberg.org/andyg/leap.nvim

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.

Its tool for constructive solid geometry using python which runs in your browser (best viewed on desktop).

The gist of it is it runs in your browser(pyodide) you write high level python which generates the corresponding glsl for your objects signed distance function which is then rendered using webgl (raymarching). The objects can then be converted to an STL (marching cubes) and downloaded

while SDF's for csg has been done before , https://github.com/fogleman/sdf , it requires you to generate the mesh and view it in a seperate viewer . Here instead i render the sdf with a fragment shader onto a canvas.

Python is neat, a lot of people know it or can pick it up fast and i thought its the perfect language for small time 3d printing hobbyist or designers to quickly conjure something up.

P.S , i'm also looking for a job.

Comments URL: https://news.ycombinator.com/item?id=45032513

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