Great! A bunch of us here wanted it. Now it exists. 👍

It's a "dark archive" of the arXiv - a non-public backup to save the data in case of attack by hackers or the US government. The arXiv, I hope you know, is the biggest source of modern math and physics papers.

Who got the job done? The TIB: the Technische Informationsbibliothek, run by the Leibniz Information Centre for Science and Technology, in Hannover, Germany.

They write:

"The TIB has now set up a so-called dark archive for the arXiv content in order to be able to make the backed-up data accessible if the data stored in the USA is lost. The archive functions as a silent reserve: the complete copy of the content is stored decentrally at the TIB, but is not publicly accessible. This means that the data stock – almost 10 terabytes – is protected against potential outages and can be activated in an emergency.

The TIB is currently working on processes to keep the archive up to date: new submissions and updated versions must be backed up regularly in order to preserve the state of research as completely as possible.

“Building a Dark Archive is an expression of our longstanding commitment for a reliable, international academic provision, and as a partner of arXiv. Even though the Dark Archive today only works in the background, it is a key element in safeguarding digital research contents in the long term, because in case of a crisis, we could open the archive,” explains Dr Irina Sens, Deputy Director of the TIB."

We should call it the darXiv.

More details here:

https://blog.tib.eu/2025/05/14/protecting-science-tib-builds-dark-archive-for-arxiv/

Sent a pull request to Audacity fixing a crash bug I'd been running into frequently. The cause was an out-of-bounds memmove. Classic C++ areas.

Anyway I got a fucking copilot review on my PR which left two comments, both completely wrong, one of which suggesting I reintroduce the out of bounds memory access. I'm furious!

Setting aside copyright/commercial/other aspects, a thought about writing blog posts that LLMs train on. When people write posts, they (a) feel good about helping others, and (b) hope to get some credit and visibility for doing so.

When mediated through LLMs, no longer the satisfaction that your consumer is a human (who might comment, thank, share, etc.); nor the cred that comes from people remembering the author, posting on HN, etc.

That is, it totally destroys the incentive structure.

It's me! On #numberphile! Talking about my favourite polyhedron!

https://youtu.be/3X2aQIMx5bs?feature=shared

After many years never being able to line up doing numberphile video, I was really glad that Brady and I ended up in the same place to do this. I love the animations and especially the sound effects!