Early days for this project but the idea is interesting. I could clearly things I'd want to automate that way.

We already had reproducibility issues in science. With such models which allow to produce hundreds of "novel" results in one paper, how can we properly keep up in checking all the produced data is correct? This is a real challenge.

Due to how errors are handled in Rust, designing them is a real concern. Several approaches are presented here, using wrapper types is likely the better trade off.

Not strictly about Rust, still is shows how to approach the conversation about your dependencies. It also gives good ideas on how to try to reduce them.

A good reminder that the complexity of tests should be as low as possible.

Interesting post about the options for error handling in Rust. It highlights the tradeoffs to keep in mind when creating structured errors.

It's a very good idea to help C++ developers pickup Rust.

Nice illustration on how you can hunt down complexity in your codebases. It is obviously a slow process but comes with nice benefits.

Interesting research to determine how models relate to each other. This becomes especially important as the use of synthetic data increases.

A good reminder that it is sometimes better to use lookup tables.

Worth trying indeed. I'd love to see at least some of that widely adopted.

Indeed feels bad when there are so many problems in the example of LLM based completion you put on the front page of your website...

Interesting comparison between C++ and Rust for a given algorithm. The differences are mostly what you would expect, it's nice to confirm them.

Date parsing is generally complicated... In JavaScript it is just insane.

Nice deep dive into a bug lurking inside a lock implementation.

Nice piece. In an age where we're drowning in bad quality content, those who make something with care will shine. They need to be supported.

Looks like Linux is now the best operating system for gaming on the go.

Early days but it looks like we got two interesting type checkers coming up for Python. Definitely worth keeping an eye on them.

I'm not sure this dichotomy is enough for building a taxonomy of FOSS projects. But I guess it's a start and captures something often missing in other such attempts.

Indeed, bugs with async/await can be subtle in Rust.