// Safety: used for somewhat important safety invariants
// SAFETY: @elizas.website is about to Start Some Shit
// Safety: used for somewhat important safety invariants
// SAFETY: @elizas.website is about to Start Some Shit
That’s why rewrites fail.
The implementation contains years of accumulated memory: edge cases, operational lessons, regulatory constraints, production discoveries, failed experiments, and hard-won invariants.
That’s why rewrites fail.
The implementation contains years of accumulated memory: edge cases, operational lessons, regulatory constraints, production discoveries, failed experiments, and hard-won invariants.
Like, this product description is either three strings measured in ints or two strings measured in floats.
ADTs are bad at modelling continuous invariants.
For example, numbers between 0.05 and 100.
Like, this product description is either three strings measured in ints or two strings measured in floats.
ADTs are bad at modelling continuous invariants.
For example, numbers between 0.05 and 100.
those who received that error have been cleared as non-dangerous invariants and will be released into the wild
those who received that error have been cleared as non-dangerous invariants and will be released into the wild
scirate.com/arxiv/2609.2...
arxiv.org/abs/2609.29471
scirate.com/arxiv/2609.2...
arxiv.org/abs/2609.29471
If you're using a Tokio mutex to maintain invariants, those invariants can be violated if a future is dropped at a yield point while the lock is held.
Here's an example!
If you're using a Tokio mutex to maintain invariants, those invariants can be violated if a future is dropped at a yield point while the lock is held.
Here's an example!
People know that unwrap can cause a panic. That's the choice that's being made when you unwrap. Changing the name won't change that.
“Shannon invariants: A scalable approach to information decomposition”
arxiv.org/abs/2504.15779
Studying information in complex systems is challenging due to difficulties in defining multivariate metrics and ensuring their scalability. This framework addressed both challenges!
“Shannon invariants: A scalable approach to information decomposition”
arxiv.org/abs/2504.15779
Studying information in complex systems is challenging due to difficulties in defining multivariate metrics and ensuring their scalability. This framework addressed both challenges!