singhrac

This is great, and I appreciate the approach. Yes, tax calculation should be a decision tree. Unfortunately it is truly pretty complicated (just this year I had to abandon FreeTaxUSA for TurboTax because the latter handled an important case I needed better). But I have a lot of faith that we can do this right. Good luck!

This is very cool! I was just looking for such a project and ended up using quick-xml since it satisfied my use case (needed to stream certain matches from a big XML file), and I didn't see yours. I love that it is a drop in for libxml2, that must have been a challenging constraint.

I will seriously consider adopting it as long as it supports streaming matches (it seems like it does).

I’m quite interested in this. Where are you getting metadata and covers from? I found this pretty hard unless you pay for ISBNdb (OpenLibrary has bad covers, and Google Books API doesn’t give you high resolution ones I think).

This article was AI generated and a waste of time. So many obvious LLM patterns that I stopped reading 10% of the way down the page.

I wanted to try NVIDIA’s aistore for our datasets, but I couldn’t figure out how to get a small version up and running so I gave up (a few years ago, today I’d get an LLM to show me how k8s works).

This is great! We need more alternatives to the full calibre stack for working with eBooks. Are you planning to keep it epub focused or would you consider adding support for something like azw3? Also is there a conformance suite for EPUB?

I think people underestimate how valuable these reports are, so I’m very glad that detailed investigation is done here. Every major grid operator around the world is going to study this and make improvements to make sure this doesn’t happen on their grid.

In a lot of ways it’s like investigations into airplane crashes.

It’s prompt processing so prefill - that’s compute bound not memory.

I want to like RustFS, but it feels like there's so much marketing attached to the software it turns me off a little. Even a little rocket emoji and benchmark in the Github about page. Sometimes less is more. Look at the ty Github home page - 1 benchmark on the main page, the description is just "An extremely fast Python type checker and language server, written in Rust.".

I use VoiceInk (needed some patches to get it to compile but Claude figured it out) and the Parakeet V3 model. It’s really good!

To be frank this is a service to you. No company you want to work at has a recruiter that doesn't understand the difference (a fully AI recruiter would be better than this experience).

Does anyone use this? I was setting it up a few months ago but it felt very complicated compared to MinIO (or alternatives). Is there a sort of minikube-like tool I could use here?

They're a bit less bad than they used to be. I'm not exactly happy about what this means to incentives (and rewards) for doing research and writing good content, but sometimes I ask a dumb question out of curiosity and Google overview will give it to me (e.g. "what's in flower food?"). I don't need GPT 5.1 Thinking for that.

One summer in middle school our family computer failed. We bought a new motherboard from Microcenter but it didn’t come with a Windows license, so I proposed we just try Ubuntu for a while.

My mom had no trouble adjusting to it. It was all just computer to her in some ways.