"Instead of single dimensional time you have multidimensional time... similar to a clock! Just that... there are infinite numbers of minutes and seconds... so this is very simple!" xD I love this.

Really helpful for me who is a beginner.

Very interesting way to reduce monomorphisation overhead Also to make dynamic libraries possible with purely generic code. Seems kind of very slow though to actually use these generic functions.

Thanke a lot for this exact,to the point seminar on opt

Thanks for this presentation

feel sad didn't see this when I was a beginner

Any update on the slides?

Perl was better

Can I compile LLVM IR to arm Cortex architectured

Which language is used in slides

RISC-V is the future 🙂

Being and engineer and programmer myself and notoriously hard to impress: My deepest respect for Chris and his work!

what a mess

Excellent!

Smartly positioned, a bridge between expressive python and memory-aware low-level representation, Mr. Mojo Risin’ 👍

kzbin.info/www/bejne/iXbahZ2Qq95rrNk

Excellent talk!

amazing project, i cant seem to find bool is it not supported?

Great stuff!

Does anyone know what happened with this project?

I bet they are just doing this with python for now, but they will eventually invent a new AI focused language

This is extremely helpful to beginners. Thank You!

noo i was hoping so for MLIR instead of vanilla llvm

Very nice!

Hope the speaker is going to defend Chasiv Yar and not cowardly avoid the draft in immigration how he currently is doing.

cool video)

hello what can I find the pull request of the feature ? thanks. I would like to follow the changes

Very nice talk and presentation, however I cannot wrap my head around a 45 gigabyte LLVM Library when a normal Interpreter language only requires about 100 mb of package space. That is an absurdly large program just to do what Python is doing at far less cost and without wearing your machine out each time it runs. The wear on switching alone with a program that large does damage to a machine allot faster than normal operation. So really what good is having LLVM when using it and your Computer has to be replaced every five months? You guys are going backwards not forwards.

Was standalone builds missed or it's just me? I'm curious if it's ok to build LLVM with Release and lldb with Debug for example. How LLVM_ENABLE_PROJECTS needs to be set for both of them and similar things... Anyway useful talk & handy slides!

if sbcl faster why not just use that?

Man I wish someone like Chris Lattner came to JavaScript to rebrand and fix it.

I see Mojo as a replacement for python, the fact that every python code will be valid and faster Mojo Code is just incredible. Its basically a python but with a real and strong type system. It even can be a very solid alternative to Rust if mojo can be as safe as Rust and handles unsafe stuff better than Rust

This is an overdue change. Dropping from the AST directly to LLVM IR is crazy and no other compiler for a high level language does that. It’s genuinely amazing how the clang devs still make it work.

This is way a much more attractive language than Rust. Looking forward to trying this.

Really? Full debugger support? You know it doesn’t work really, at all, since async/await was introduced, right? It can’t step, nor can it reliably show variable values. At least, not in Xcode.

Mojo is gated off behind an account registration, which could mean that Modular is eventually planning to require the purchase of paid licenses to use mojo. Mojo does not have an Open Source license. Also, Mojo is configured by default to surveil developer activities and send reports back to Modular. This rings loud warning bells, and that means mojo is certainly NOT for me, regardless of how fast it might be. The open source AI community can get by just fine with Python for a few short years, until AI evolves to the point where it can generate open source Python runtime system advances which rival mojo's speed and capabilities. That should only take 2-4 years, and Python's user community will not be seriously challenged Modular by then anyway. Language adoption takes *way* longer than that. By 2030 mojo will be nothing but a footnote in the history of AI. It's not worth the hassle to make a huge move to a new language that won't offer any significant value in five years' time. Just stick with Python, and with Python's excellent free and open user community. AI will level the playing field, in terms of execution speed soon enough.

the fact that this video only has 1000 views is unfortunate for our society, IMO.

Interesting project. That should make it easier to create languages that plug into Clang right?

Thanks for sharing, very useful.

❤ LLVM

NB

As a system programming language, it will be only compete with rust/c++. For web dev/machine learning/mobile app development/ERP, etc won't be affected a bit by this. 😂😂😂

Captain Jean Luc Picard, from USS Enterprise. Awesome work!

This work is now upstreamed as part of 18.x!

Thanks for the amazing presentation, where can we find the slides deck ?😊

This is a great talk!

Amazing talk. Thank you!

How did you get over 100K users in just one year? I remember just a few months ago it was very closed beta. Is it because of popularity of python?

You can see llvm-mca result in godbolt, it's very usefull

What is the difference between this tool with pymlir? They looks same