yahyaheee

Yeah the cost of decentralization is so high that you really need to be gaining something from it. I’ve long said that if drugs were legal it would remove most of bitcoins usage.

Money is ultimately a reflection of power, and decentralization is merely a tool for when those power structures limit the market.

What a great statement, its not that they can't its that they don't want to use it.

I really tried to like Julia, wrote it for months, but it misses the mark. I've been working in analytics for 10 years and of everyone I know who's tried it I only know a couple people who like Julia.

Thats a problem, and you can see it in the adoption numbers. The Julia community keeps wanting to bury their head in the sand and pretend its not which is fun.

Python — no threads, or built in types

Julia — odd language

R — not a general purpose programming language

Most of the data scientist and ml engineers I work with want a new language. So yeah it’s not a bad idea

yeah I keep up with the Linfra group, they are making steady progress. I hadn't seen SmartCore yet but that looks promising.

I mainly use tch-rs which are just bindings around libtorch, there are a couple edges wrapping c++ (function overloading) but overall it works great. I've also used ndarray a fair amount which is nice.

Right because there are so many great existing options for ML

Its useful for ML in that it requires so much optimization, that being about to drop down in the same language is incredibly handy. For ML software isn't lagging hardware its the other way around.

It’s pretty ubiquitous among new developers but for working software engineers I think it’s uses are becoming limited.

If you need a web server there are much better choices. Data analysis and scripting are about the only places I see it used successfully nowadays

I use Rust for ML nowadays and I love it!

There are a lot of people who are somewhere in between these groups and providing a language that goes up and down the stack well would be super useful.

I agree it needs to be as simple as python on the high level though, or the data science end of the spectrum will just never adopt it.

Yeah Google really messed this up, they had a golden opportunity and they went the wrong direction. Julia would have been better but IMO they should have just created a new language from scratch

I share the exact same sentiment. I really tried hard to like Julia, spent months with it because of all the shortcomings of python. I submerged myself in its community, but at the end of the day it just never stopped feeling odd.

I’ve also recently learned Rust to replace C++ and it’s an absolute pleasure.

I do think there’s a lot of room for a new data analysis language. It’s just not Julia, I’ve been writing all my ML stuff in Rust and that’s actually been a lot of fun although I don’t see that as getting picked up by the mainstream.

It makes things reproducible, and k8s is still containers just not docker

I’m with Q!

I’ve been using the Rust wrapper over torch-lib for deep learning (tch-rs) and I absolutely love it. It’s way easier to use than torch-lib and you get all the performance.

Unless c++ makes some major changes I think Rust will gain steam in all the areas you mentioned.

So if humans are putting 38 billion tons into the atmosphere every year does this even make a dent?