Archit3ch

5 ms·

1.
by Archit3ch 13d ago
Astra + hopefully reset?
2.
by Archit3ch 14d ago
Gervais Principle strikes again.
3.
by Archit3ch 15d ago
> Is there some really amazing Mac only software that would justify the effort ? As others said, the killer app is XCode. Even if you can technically get it to run, you'll still need the full support and test flows of a native solut
4.
by Archit3ch 15d ago
I assume this wouldn't work for software that requires e.g. the Secure Enclave.
5.
by Archit3ch 29d ago
> But compared with Python, Julia, Matlab, R, Rust, C, C++ - Mojo feel relief for working with numerics. Out of those, Julia is the only one that combines Multiple Dispatch and native code, both important for numerics.
6.
by Archit3ch 29d ago
Julia compiles to native code, same as C++/Rust.
7.
by Archit3ch 29d ago
Does Jac have Multiple Dispatch?
8.
by Archit3ch 29d ago
> multi-vendor GPU compilation framework Technically true, since it supports NVIDIA and AMD. But we have a different definition of portability, if I cannot bring a Metal device and expect it to work.
9.
by Archit3ch 29d ago
Wait, this is only for i(Pad)OS and not MacOS, right? The way it's written, it's a blanket 5% commission on desktop apps distributed on one's own website, which is insane! > Web distribution, which is available only in the
10.
by Archit3ch 1mo ago
As someone who writes GPU kernels in Julia, yes it is. But Mojo is one of the few alternatives based on technical merit alone. Each language is better in different metrics, and it could be argued either way. License-wise, Mojo reminds me of
11.
by Archit3ch 1mo ago
> 64GB Macbook pro with an M5 chip costs more than 4k Euros in Germany Sure, if you want the latest and almost* greatest. You can pick up an M1 Max 64GB for ~1k. * I guess 128GB also exists
12.
by Archit3ch 1mo ago
> in FP64, which is not something most people use It's used in audio processing. But large DAW sessions need something beefier than both tested devices (Macbook Neo, XPS).
13.
by Archit3ch 1mo ago
> consumers basically never use fp64 any more They do in audio processing. ;)
14.
by Archit3ch 1mo ago
Same!
15.
by Archit3ch 1mo ago
It proves the point. Numpy still doesn't have the semantics of a full programming language like Mojo/C++/Julia.
16.
by Archit3ch 2mo ago
Sure, but if you're writing in the JAX DSL you've already abandoned python.
17.
by Archit3ch 2mo ago
Never had one, but I might pick one up on ebay if I ever need to support Intel Mac users.
18.
by Archit3ch 2mo ago
1. Why not Julia? IIRC, some/all of this already exists in that ecosystem. > Something to note is that quantum algorithms are never purely quantum. There is a tonne of classical processing needed to get inputs ready, post-process ou
19.
by Archit3ch 2mo ago
If it matches GPT-5.4 on coding tasks (as benchmarks suggest) this could be my forever model. And with partial SSD streaming, I could run it locally today. :D
20.
by Archit3ch 2mo ago
Take for instance Pandoric Macros that allow you to peek inside the hidden state of a closure: # Traditional Let over Lambda counter = let x = 100 () -> x += 1 end counter() # 101 # Pandoric Macro captured_x_ref = Co
21.
by Archit3ch 2mo ago
> I much prefer it to writing intrinsics in C (and the results are just as good). It's an interactive, exploratory, coding: I write small modular functions, SBCL compiles them on the fly, I glue them together with high-level languag
22.
by Archit3ch 2mo ago
I'm not fluent enough in Common Lisp for that book, but the patterns in Let over Lambda translate cleanly to Julia. You can have "Let over Lambda", "Let over Lambda over Let over Lambda", "Anaphoric Macros&qu
23.
by Archit3ch 2mo ago
I wouldn't trust Gemini anywhere near my code. However, it's pretty good at regurgitating textbook answers (classic Google...). This makes it an asset for circuit design. Try one of my real queries with Gemini Pro: "Create a
24.
by Archit3ch 2mo ago
You can write Julia code as normal and see each compiled function at the REPL. Very similar to a local Compiler Explorer. Although as mentioned plenty of times, the largest wins tend to come from laying out your data correctly, or switching
25.
by Archit3ch 2mo ago
If uglier code can turn your non-realtime app into realtime, then it's worth it.
26.
by Archit3ch 2mo ago
In some cases the ergonomics are worse than C, which is a feat in 2026. Portable SIMD is (perma?) nightly. Requires 'unsafe' everywhere. To skip bounds-checking, you typically need to switch your writing style from loops to iterat
27.
by Archit3ch 2mo ago
Or it exists and is not optimal for your use case?
28.
by Archit3ch 2mo ago
> if someone would kindly quantise this down for the 64GB paupers The Q4_K_M is 75GB. I'm exactly at 64GB, and I wouldn't quantize it further. Instead, do partial weight residency and stream the rest from SSD.
29.
by Archit3ch 2mo ago
Reading "Custom CPU" I expected wafer.space, instead of FPGA.
30.
by Archit3ch 2mo ago
I assume Nativ doesn't support SSD streaming like DwarfStar.

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