I'm working on a news analysis project where I'll have to identify articles that speak about the same event. For now, I think it'll be based on date + "asking an LLM", but you probably came up with something better. How do you approach this problem?
There was a report posted on HN months ago showing the proportion of fraudulent vs legitimate activities on Tor vs non-Tor across a pool of websites. Tor users were (slightly, IIRC) more likely to be malicious, but they represented a drop in the bucket against all malicious users. Maybe some sites that do block Tor might be seeing different proportions, I'd wager most of them do it because Tor == bad for most people.
The paragraph starting with "it would be a shame..." has their entire point laid out in simple, unambiguous terms. There's no mention of human nature or calls to not worry.
A workaround I saw a few months ago on HN: for both Organic Maps and OSMand, you can use Acastus to search for something and then open the result in the maps app (+ share the broken query with Organic Maps, as requested by the founder).
I'm trying to find a good project to work on to start learning QGIS, and what you described sounds interesting. Would you happen to have a write-up of this?
Dang, you're a model for my own communication style, a source of indirect advice for a project that I'm building (one day I'll be ready to reach out to you for direct advice), and someone I see as an example of a good human. Thank you!
As I said, it's way out of my wheelhouse, but I'm planning on spending some time in the next months on trying to merge a decrypted backup of old iOS Signal chat history into the decrypted backup of current Android chat history and trying to restore from that (re-encrypted) backup (there is no native iOS to Android transfer on Signal yet), so I'm starting to look into any learning material that will allow me to not fail within the first 2 minutes of trying :).
Re keychain, you're probably aware of it, but https://github.com/ptoomey3/Keychain-Dumper/ is very thorough in extracting keychain data (including data that one would expect to no longer be in there).