This Month in Ladybird – October 2025
ladybird.org
Bloom filters are good for search that does not scale
notpeerreviewed.com
Things you can do with diodes
lcamtuf.substack.com
Reverse-engineered CUPS driver for Phomemo receipt/label printers
github.com
When stick figures fought
animationobsessive.substack.com
Over $70T of inherited wealth over next decade will widen inequality, economists
theguardian.com
A friendly tour of process memory on Linux
0xkato.xyz
Lessons from interviews on deploying AI Agents in production
mmc.vc
Ask HN: Who is hiring? (November 2025)
Show HN: Yourshoesmells.com – Find the most smelly boulder gym
yourshoesmells.com
Learning to read Arthur Whitney's C to become smart (2024)
needleful.net
Tenacity – a multi-track audio editor/recorder
tenacityaudio.org
The Farmer Was Replaced [video]
youtube.com
The Mack Super Pumper was a locomotive engined fire fighter (2018)
bangshift.com
Guideline has been acquired by Gusto
help.guideline.com
The Case That A.I. Is Thinking
newyorker.com
The Case Against PGVector
alex-jacobs.com
Resolution limit of the eye – how many pixels can we see?
nature.com
Ask HN: How to deal with long vibe-coded PRs?
Hm. I realise this is an advertisement but that just makes its deficient treatment of failure all the more worrying.
I have yet to write the article on systems-theoretic accident analysis that is long overdue, but I don't subscribe to the idea that there is "a" root cause, much less "the" root cause. What people call a root cause is almost always just an arbitrary stopping point for analysis. This stopping point is selected either based on convenience or for political reasons.
Any real-world accident comes after running the system in a hazardous state, often for quite some time. The decision to do this is rarely explicit or the result of one thing, but a multitude of interacting factors and competing interests. A safe system needs feedback loops and control actions to keep it out of hazardous states. For any accident, we will usually find many missing or deficient control systems and feedback paths.
This is usually easier to phrase in reverse: we would never ask someone to identify the root cause of success -- and it's just as silly to do it in the case of failure.