Still true. From her Mastodon today:

> i quit my job just over 5 years ago to explain computer things (https://jvns.ca/blog/2019/09/13/a-year-explaining-computer-t...). I had no idea if I would like being my own boss but ultimately it's been really cool and I'm happy to have this weird job writing zines about computers.

https://social.jvns.ca/@b0rk/112991897872016086

> Every single cafe, restaurant, supermarket, and mall has free wifi.

I live in a major city in the Philippines, and free WiFi is becoming more of a rarity nowadays. Not even Starbucks and other big chain restaurants, malls, and cafes offer WiFi anymore because of how widely available data is. They expect you to bring your own data and tether if you want to browse or do some work.

In more rural areas, WiFi is definitely not widely available. On the rare chance it’s even offered, it’s usually “piso WiFi” paid by the minute.

Theory of Computation, Number Theory, and Probability are good starts.

You don't need any probability or number theory to understand busy-beavers even though the article mentions some probability stuff.

You also don't need them to understand the basic properties of Collatz problems.

So I'd reduce it to Theory of Computation and some extremely basic maths in order to have a reasonable basic understanding of the subject.

> Son Masayoshi is of Korean ancestry for instance.

Korea is East Asian. Southeast Asia consists of Brunei, Cambodia, Indonesia, Laos, Malaysia, Myanmar, the Philippines, Singapore, Thailand, and Vietnam.

https://executeprogram.com has a SQL course. I’ve tried other resources but this one made it click for me after years if relying on SQLAlchemy.

The toolkit in the packages by default is old though. I was setting up JAX on a Ubuntu 20.04 WSL 2 install and it was complaining about ptxas being old and giving bad results.

Different Ben-David. You're talking about Shalev's dad Shai.

Ah indeed, I mixed up his name with the Shalev part of the name of the other author.

They are still publishing in other venues, like this pretty recent CVPR repo and paper.

https://github.com/apple/ml-quant

I've received a lot of value from doing practice interviews on interviewing.io to improve how I perform. I also got two referrals out of the five mock interviews I did.

thanks will definitely try it

I’ve been using Magit inside a VSCode terminal for a couple weeks, this is a great alternative!