31–39 of 39 posts
I've been shipping WASM in the browser and the download size is almost never the real cost — it's compile/instantiate latency and, weirdly, a strict CSP silently refusing to compile it at all unless you allow wasm-unsafe-eval.
Does WebGPU shader compilation hit any similar CSP surface?
Years ago, long before the current "AI"/LLM-craze, I've heard someone saying that in the future programming will have less fixed, deterministic algorithms and more statistical/ML algorithms, because even in the case when writing a deterministic algorithm is possible , it is sometimes easier to collect training data and train a tiny model, then to write and maintain large codebase that does the same thing, but determi…
If anyone can get in contact with Shu, please let them know I'd really like to speak with them. I have a deterministic rendering / colorizing system in three dimensions instead of two for arbitrary UTF8 text written that is explicitly GPU bound and currently testing the last Rust + Mojo pair port, and I'd like to share some ideas. I have about 95 million glyphs rendering (monospace, atm) in a little under a second wi…
g@shud.in was listed as contact email on his older portfolio
Years ago, long before the current "AI"/LLM-craze, I've heard someone saying that in the future programming will have less fixed, deterministic algorithms and more statistical/ML algorithms, because even in the case when writing a deterministic algorithm is possible , it is sometimes easier to collect training data and train a tiny model, then to write and maintain large codebase that does the same thing, but determi…
This seems to assume you're okay with whatever you're building being a black box that will break in the future and require you to re-train the model for every scenario that comes up. I can't think of a problem I've solved recently where that would pass the bar for me. Maybe for one-off problems like 'I have all this data and I want to classify it' where you could hand-classify say 5-10% of your dataset and train a model to deal with the rest of it?
While the premise is neat (syntaxes and tokenizers are pretty similar, how much diversity can humans possibly come up with??), this does not inspire much confidence in the accuracy.
"27.5KB" will not age well. But what could I expect from another vibe coded project?