Recent submissions

Comment · 11 days ago
There's important nuance here. It's under US command within Korea in the event of a north Korean invasion to ensure a unified command structure. Last I heard when I lived there (10+ years ago), they were actively transitioning to Korean command in the event of war with North Korea, although I'm not sure if that was ever completed.

They're not a vassal military or state.

Comment · 1 month ago
By choice. I currently work at Stripe (opinions my own, I'm just some guy) and was here when it released. It's a genuinely useful tool, which explains the widespread adoption.
Comment · 3 months ago
How do people find tangled who have tried it? I've been eyeing it. How does it compare to GitHub?
Comment · 3 months ago
There's always deno
Comment · 3 months ago
Why not? It's easy to set up and manage and it just points at an internal IP address
Comment · 5 months ago
University of Toronto, it's in TFA and even the URL.
Comment · 5 months ago
Nice, I'm hosting a LAN party with friends next month, I might try this out. Thanks for sharing!

Are there any plans to open source it?

Comment · 6 months ago
Maybe it's a Canada thing, but it works seamlessly with Libby for me.
Comment · 6 months ago
Favourite article I've read in a while, what a delight. I wonder what kind of performance you could get if someone hand wrote a dedicated, modern C compiler for it.
Comment · 7 months ago
Something like 70% of the Korean peninsula is mountainous, and a lot of the space between mountains is taken up by cities and farms. This puts flat land at a bit of a premium
Comment · 8 months ago
My first BA was in history before I went into tech stuff.

It's honestly a hard question and depends on you. I think there's two core challenges: 1. What would be interesting to you and motivate you 2. Finding quality sources

The first one is easy but the second one is hard if you don't already know a fair amount of history, and there's tons of junk out there.

I'm admittedly pretty snobby on my sources but some recommendations (pick whatever works for you): - The Revolutions podcast is excellent. Made by the same guy as History of Rome - Unironically, the AskHistorians subreddit is a gem. It's hard to find questions with answers. Just search for their Sunday day of reflection posts. It's a compilation of interesting answers - If you're able to get into textbooks (not everyone is), do a search for an intro level textbook that's a short survey of an area/time. For example you find smallish intros to most regions and times from Cambridge

What are you interested in and how do you think you'd enjoy learning?

Comment · 11 months ago
Windy allows you to select your model. For that reason it's my go to for accuracy.

Different models have different strengths, though. Some are shorter range (72h) or longer range (1-3 weeks). Some are higher resolution for where you live (the size of an area which it assigns a forecast to, so your forecast is more local).

Some governments will have their own weather model for your country that is the most accurate for where you live. What I did for a long time was use Windy and use HDRPS (a Canadian short range model with a higher resolution in Canada so I have more accurate forecasts). Now I just use the government of Canada weather app.

I genuinely wonder what the weather Channel, iPhone/Android official weather apps, etc. use under the hood for global models. My gut says ECMWF (a European model with global coverage) mixed with a little magic.

Comment · 1 year ago
Kobo devices do a full page refresh periodically, which is probably what you're seeing. iirc it will do it on chapter transitions to make it less jarring.

Basically, it's intentional and relatively rare (unless you have really really short chapters).

Comment · 1 year ago
I wonder how many of the pipes are made of wood. I forget the source, but I heard a decent number of pipes in Montreal are very old and made of wood (which is better than the proliferation of lead pipes that are still being removed)
Comment · 1 year ago
In fairness it's AI "upscaled". What kind of car that is isn't actually present in the original image's data, it's a best guess from the AI.

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