Magos Logis Logan @jmw150@qoto.org

@veer66

Go at has Google for now.

Java was Oracle's, when it was a big company. They where probably the first to come up with big-tech money == popularity, formula.

Javascript (2 of 5 big tech)
https://openjsf.org/

PHP I am finding only has small tech supporters for its foundation. They also have an open budget and spending model for their foundation.
https://opencollective.com/phpfoundation

@ozamidas

Good point. Julia is Rust grade hyped.

@dqn

"bro.. 13th time today. I am busy."

@ozamidas

Yes
https://en.wikipedia.org/wiki/Big_Tech

@ColinTheMathmo

Seems reasonable to recommend one if they brought up traveling near that place in conversation. Not all franchises are the same.

@downey

I hate these kinds of arguments. It was the same reasoning Cannonical used to sell peoples' data on their operating system.

Hmm.. Who are your corporate overlords, languages?

Rust (4 of big 5 tech)
https://foundation.rust-lang.org/members/

Julia (3 of the big 5 tech)
https://juliacomputing.com/

LLVM (3 of big 5 tech)
https://foundation.llvm.org/docs/sponsors/

Haskell (1 of big 5 tech)
https://haskell.foundation/

Ocaml (financial companies)
https://ocaml-sf.org/

Zig (individuals)
https://github.com/sponsors/ziglang

D (1 financial firm + individuals)
https://dlang.org/foundation/sponsors.html

R (researchers and universities)
https://www.r-project.org/foundation/donors.html

@kaia

My computer brick still lives. Reject modernity. Return to monke.

@niconiconi

I do kind of wonder how Linux made it so far sometimes. And then I remember that IBM dumped millions into development time on it.

@dimitrisk@mastodon.technology

It is the Facebook problem. I rarely see research stuff on gitlab versus github. Basically never see research code hosted anywhere else.

Loops be like, a whole research field.

https://dl.acm.org/doi/abs/10.1145/3453483.3454104

https://dl.acm.org/doi/abs/10.1145/3498682

Hmm... compilers, modules. That is honestly not too bad. Deep learning compiler expertise are in demand because of this kind of stuff.

Seriously just need to call them modules though I think. Tensors do not have non-linear activation functions. In most cases it is just slang for a n-box of numbers.

http://adam.chlipala.net/papers/AtlPOPL22/AtlPOPL22.pdf

Do I care? Eh.. Is the math and programming language stuff nice? Yeah.

@johnabs

Yeah. I should check it out more though. It looks like it grew a lot.

I guess this week is compiler week.

A compiler compiler design. It lets you write compiler optimizations as a lot of separate, easy to think about passes. And then the compiler compiler combines them.

https://dl.acm.org/doi/pdf/10.1145/3140587.3062346

I feel like this existed already. It is a little too obvious of an optimization.

@johnabs

Yeah it looks pretty great. I prefer a language that is fast by default without user effort costs. Python is mostly number 2 because it is the most popular in general, it is easy to use, and I am enjoying Pytorch and all of the scipy libraries. So maybe. :)

Did you check out this paper? Julia syntax is now directly differentiable.
https://arxiv.org/abs/1810.07951

And its code.
https://github.com/FluxML/Zygote.jl

@arghyadeep

Neat

@oneofvalts

I am one of those, and same.

@cirnog @Cool_Dude

Doesn't matter. Had sex.