melodyogonna

5 ms·

31.
by melodyogonna 2mo ago
The point is that you can compile both old and new versions of C++ using the same compiler. Rust and Go also evolve like this
32.
by melodyogonna 2mo ago
Here is a presentation talking about the parallelization techniques, I skipped to the relevant part but the entire presentation is helpful in understanding how Mojo's compiler works: https://youtu.be/yuSBEXkjfEA?t=813&a
33.
by melodyogonna 2mo ago
Well, LLVM itself is still single-threaded; they just designed Mojo's compiler in such a way that the code generation part can be parallelised, which is something you can do if you understand LLVM from top to bottom. As far as I can se
34.
by melodyogonna 2mo ago
They're an AI company
35.
by melodyogonna 2mo ago
The novelty is in parrelizing LLVM, which is traditionally a single-thread code generator.
36.
by melodyogonna 2mo ago
Mojo compiles with O2 by default, it is similar to Go here. Release build is the default, debug is something you opt into. It is still very fast nonetheless
37.
by melodyogonna 2mo ago
Mojo is much faster than Rust, but slower than Go. I don't have much experience with Zig. Mojo is designed to be very fast to compile, so many decisions were made to keep the core language simple, one example is in `where` clause, the
38.
by melodyogonna 2mo ago
My guess is that the compiler will be opened next week at Modcon. Honestly? I'm surprised Mojo 1.0 is being released now; I had thought it would be released at Modcon along with the compiler source code, but oh well, 18th August isn&#x
39.
by melodyogonna 2mo ago
When I use AI with Go I give it this rule: Prefer standard Go libraries and tools. 80% of the time I can get by without external dependencies (outside of Go's X repository)
40.
by melodyogonna 2mo ago
Isn't Netflix a Java shop
41.
by melodyogonna 2mo ago
Hurray!
42.
Mojo 1.0 release notes(mojolang.org)
5 points by melodyogonna 2mo ago|0 comments
43.
by melodyogonna 2mo ago
Very interesting. But GPU programming gets complicated when you start doing 3d computation on very large data, will be interesting to see how tensor abstraction is built on top of this. Another point is that this is using fixed-width SIMD
44.
by melodyogonna 2mo ago
Oh wow, that's a blow to Google, what's with the talent scarcity in ML. Though if this goes anywhere Google will likely buy them back.
45.
by melodyogonna 2mo ago
Is there a particular reason why they're looking for Github stars?
46.
by melodyogonna 2mo ago
Linear types requires significant work to incorporate into the core built-in collections and types. I've been following the work on Mojo to enable Linear type support for built-in types and collections, I don't think Rust's l
47.
by melodyogonna 2mo ago
To what? What would you use instead, things like this seem common place in languages made in the last decade.
48.
by melodyogonna 3mo ago
Many people find it complicated.
49.
by melodyogonna 3mo ago
They're using Go, Swift, and Zig: https://x.com/mitchellh/status/2082623830510710865?s=20
50.
Qualcomm Completes Acquisition of Modular(modular.com)
6 points by melodyogonna 3mo ago|0 comments
51.
by melodyogonna 3mo ago
These AI companies needs to stop with all the doom and gloom.
52.
by melodyogonna 3mo ago
Django is nice, but I'm currently migrating a project from Django to Go because Django is too large. I would love to stay with it, but simply assimilating the docs has been a chore. The PDF is 3000 pages, and I love working with tools
53.
by melodyogonna 3mo ago
Because I prefer Chrome.
54.
by melodyogonna 3mo ago
I did not know Theo had such influence on companies.
55.
by melodyogonna 3mo ago
Oh this seems very useful, I hope we'll get it on Chrome sometime. At the moment I have to use profiles to achieve the same thing
56.
by melodyogonna 3mo ago
You can depend on just MLIR core; Mojo (from Modular) uses MLIR, with only the index and LLVM dialects coming from upstream MLIR. The benefit is that you focus on designing your IR without also building supporting infrastructure, while havi
57.
by melodyogonna 3mo ago
Why not just use MLIR?
58.
by melodyogonna 3mo ago
I disliked OpenCode's LSP integration, as Pyright kept distracting the model from what I wanted done in a Django project. I prefer to run MyPy at my own convenience
59.
by melodyogonna 3mo ago
I'm surprised American AI companies are not trying to compete in the open weight market, that is very myopic
60.
by melodyogonna 3mo ago
People are offloading a lot of responsibilities to tools. If you pull a repository from Github without doing due diligence then you can't blame Cursor for getting compromised

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