Time Machine in Sonoma: a retrospective.

Link. “When backing up to APFS, Time Machine reverses the design used in High Sierra: instead of using snapshots to determine what needed to be backed up before creating a backup using traditional hard links, most of the time Time Machine determines what has changed using the original method with FSEvents”

Singapore has a per capita GDP around $100K

Link. “Singapore, which UNCTAD still classifies as a “developing” country, is among the very richest countries on the planet. It’s far richer than the U.S., Canada, Australia, Switzerland, or the countries of North Europe.”

There’s a lot of China’s money flowing through Singapore. The (free) essay also explains what makes a country “developed” per UN. (Hint: It’s up to the country.)

“cyclists and drivers comply with traffic laws at about the same rate: 88 percent for the former versus 85 percent for the latter”

Link. It is impossible to turn humans into good drivers. To reduce pedestrian deaths we need to limit vehicle speed and size, end turn in red, regulate trucking better, simplify roads and limit where cars go.

(If I’d stepped into the ped crosswalk this morning I’d be dead now. Instead I looked and saw the 18 wheeler roaring through the right turn.)

Calcific tendinitis of the shoulder induced by an mRNA vaccine for COVID-19: A case report.

Link. “shoulder injury related to vaccine administration’ (SIRVA) is characterized by shoulder pain and limited range of motion after intramuscular injection of a vaccine into the deltoid muscle of the shoulder”

I think I got this! It’s a thing I’m prone too but it came and (mostly) went in 1 week.

Tip: Don’t do #crossfit while your biceps muscle is really sore from Moderna’s mRNA vaccine adjuvant.

Embeddings in AI: “The location within the space represents the semantic meaning of the content, according to the embedding model’s weird, mostly incomprehensible understanding of the world.”

Link. We communicate with the Oracle by sending a matrix incantation.

“if I want to find related articles for a given article, I can calculate the cosine similarity between the embedding vector for that article and every other article in the database, then return the 10 closest matches by distance.”