Recent submissions

Comment · 7 days ago
All in Javascript? Pass.
Comment · 18 days ago
Comment · 22 days ago
Comment · 26 days ago
I am on a $3k Macbook and scrolling on shaders.com yielded a few frames of blank screen jank before the rest of the page rendered. This is unacceptable performance for serious websites, but I appreciate the new heights that webshit attains each year.
Comment · 27 days ago
well EG2 doesn't have an encoder so can't use it for OCR, for one
Comment · 27 days ago
my understanding is Polars is faster, scales better without using external solutions, better API, +Rust. Pandas wins if you want to use what the vast majority of folks are using and have used in the past. Probably has a more complete set of helpers / recipes for the little things you bump into when using it thoroughly, but in the age of LLMs, I think that's minor.
Comment · 1 month ago
I understand that approach before LLMs made mechanical porting super easy
Comment · 1 month ago
Agreed entirely. It is the birth of true software "engineering" for the masses rather than the pile of coders we had before.
Comment · 1 month ago
Well if any labs want to scrape my knowledge of such things into model weights or faster training runs, I do consulting at movsoft.io :-)

It really is [as simple](https://github.com/ratatui/ratatui/pull/281#issuecomment-160...) as the Molly rocket video about terminals makes it seem; I am sure the models will catch up eventually. They have to overcome a lot of bad training data in most languages, but I find in Rust they usually do ok the first time.

Comment · 1 month ago
I'm sure their numbers show the tablet in use, as corporate desires. I place my order with the waitress and she picks up the tablet to place it, citing "that's what they want us to do"
Comment · 2 months ago
I think it's a plausible play that keeps the AI boom in session for a year or two longer.

Or at least, $13b to stay at the head of the race (or keep the race running) must be worth it to someone's desk.

There's only $50b in datacenter buildout nationally (Source: Gemini, 2026).

So it is a bit of a puzzling choice for what amounts to a pile of software, in my opinion. but I don't know shit.

Comment · 2 months ago
I resent the accusation that no one uses the all caps version :-)

I found support for generating it to be hit or miss with the free online generators, but it really improved scannability for a QR I was pasting onto a vehicle!

Comment · 2 months ago
what is the state of the art now, that runs on-device? the article didn't mention the Q$ family, but I haven't found anything better than that plus mixing/co-judging with a dynamic-time-warping based approach
Comment · 3 months ago
You should ask him if we can read the email please :-)
Comment · 4 months ago
Perhaps the fact that 99+% of today's workloads could be running on the client if it were as easy as shipping Rayforce and the data directly to the client.

Besides that, pure C that you can embed into your app is much easier to deploy for some (and likely 100x more performant) than stuff that comes via Helm chart [cries in JVM 'big'-data solutions]

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton