Elixir v1.20 released! Now officially a gradually typed language: Elixir type checks every single line of code, finding bugs and dead code, without developer overhead (no typing signatures) and extremely low false positives rate. Plus a faster compiler! Links and reports below.
Startled to find out that there are young people who haven't read James Iry's magnificent "A Brief, Incomplete, and Mostly Wrong History of Programming Languages". Please drop what you're doing and head over.
https://t.co/bnzifwQ2p9
@iamsahaj_xyz pi-autoresearch to let it try stuff out and optimize something
pi-ralph for brute force prototyping stuff
pi-fff for searching things quick
thatโs the stack
in Riot, one of the things i wanted to change from how OCaml does package management was the registry: https://t.co/ykU8yAGPzf
so https://t.co/ykU8yAGPzf was born as a little registry service. you login with github, you create a publishing token, it tracks package, riot, and ocaml install metrics, etc. you can go to https://t.co/fAYfHUFJ6Z and see some of the metrics being collected there
you can also see all the publishing activity in https://t.co/KRasuSsyIi
and ofc, since it collects data,there's https://t.co/Ag7c65K2Yd! don't worry, we only collect a handful of things that are useful insights for package authors ;)
These last 6 months i've been building a tech demo showcasing what I believe OCaml, its ecosystem and its DX could grow into.
I started with the Riot ecosystem I had been building a few years back (scheduler, tui, web framework, etc), and then I added one tool, and another, and then it got out of hand.
The end result was a complete platform that I genuinely enjoyed using daily to build all sorts of tools, almost all of it AI-assisted! It's a pretty great way of building with OCaml, even if its just a tech demo :)
https://t.co/MLRjlRmOZB and https://t.co/DTeCU20XIi
No camels or dunes were hurt during the development of this tech demo, this isn't official OCaml stuff, use at your own risk, etc.
Sources on https://t.co/8VGhk5XtNQ <- go to drop a star! ๐
The book is finally out: The Apple Neural Engine Inference Book
A practitioner's guide, complete with converters, Swift runtimes, and validated model manifests.
Every model in this repo runs 100% on the Neural Engine (verified with MLComputePlan). No GPU fallback. No CPU matmuls.
Link in comments
its always funny meeting someone and telling them i'm from Argentina because they assume I'm from Buenos Aires (I'm not).
and then they get very confused when I explain that Tucuman (hometown) is closer to Chile, Bolivia, Paraguay, Brazil, and Uruguay, than to Buenos Aires
Argentina is pretty big folks