dupontcyborg
Joined 8 months ago
Karma
4
Submissions
15
Member since
Feb 23
Recent submissions
Comment · 2 months ago
loooool
Comment · 2 months ago
kinda meta to have a js engine built in rust, compiled to wasm, running in cloudflare workers which itself is another js engine (v8 isolates)
Comment · 2 months ago
i’m not doubting this, but do you know if there are any studies on this already?
Comment · 3 months ago
we make extensive use of simd at work, usually through highway: https://github.com/google/highway
imo this is one of the greatest libs ever written. it handles dynamic dispatching of correct simd instructions / lane widths for various hardware with just one simd loop written (handling NEON/AVX/AVX2/AVX512/extensions) with comparable performance to handwritten native intrinsics
Comment · 3 months ago
this would be amazing
Comment · 3 months ago
this isn’t the point of the story, but is that paint truck driving on the railroad tracks?
Comment · 3 months ago
i may be missing context, but shared memory across processes, without ipc?
Comment · 4 months ago
this is a way smaller deal than acr. i personally don’t connect my smart tv to my network and use an apple tv instead
Comment · 4 months ago
Hmmm... In the code (https://github.com/andrewmccalip/kickbacks.ai/blob/main/src/...) the extension polls for updated every 90 seconds and has no digital signature verification... So get a bunch of people to install and issue a malicious update and within 90 seconds, your entire user base has it? I'm good
Comment · 4 months ago
Hey guys, author of numpy-ts here. Just sharing some (potentially-obvious) learnings while optimizing the library :)
Comment · 4 months ago
the customer testimonials were enough to earn my github star
Comment · 8 months ago
I've been spending some time on a side project, `numpy-ts`, which is a TypeScript numerical library inspired by NumPy. It aims to bring the same NumPy API (where possible) to Node.js/Browser/Deno/Bun with full .npy/.npz compatibility (read & write).
It currently has 476 of NumPy's 507 functions implemented, all cross-validated against NumPy with >6,000 validation tests. The lib is about 93 kB minified+gzipped and has zero dependencies, and it's fully tree-shakeable.
Since it's written in TypeScript, it's on average 15x slower than NumPy. I just tagged 1.0.0, and will begin performance optimization soon (both algorithmic and selective WASM for fused kernels).
You can try it in your browser here: https://numpyts.dev/playground
Edit: disclaimer that this was a mix of hand-written code (API, deterministic tooling) and AI-assisted (functional implementations, validation test implementations).