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You think the difficult part is merging observations with the last forecast? I guess it's a very underdetermined problem, but isn't the loss function (compare the forecast grid with later observations) the same whether you're doing grid_t0 -> grid_t1 or (observations, grid_t0) -> grid'_t0 -> grid_t1? I don't know enough about ML to know how much complexity the extra step adds, but doesn't seem like a massive difference.


Observation assimilation is a huge field in and of itself. Observables have biases that have to be included in assimilation, they also have finite resolution and so observation operators need to be taken into account.


If the FFI is also capability gated why can't the language do it?

Edit: Pony seems to rely on restricting FFI privileges at the package level https://tutorial.ponylang.io/object-capabilities/trust-bound.... Suppose it could have been function by function ("unsafe") but this sounds fine. Not sure what else I could have meant by a capability gated FFI.


In practice it means no redistributable native libraries or binaries.

You would need installation time compilation, jittin or pure interpretation.

Or some sort of trusted compiler-as-a-service with signed binaries.


euler angles aren't cool any more


sibling comments about Nix are not acknowledging that the base image size is around 600MB vs 5MB for alpine


This is only true if use a Docker based workflow using `FROM nixos/nix`. This image exists mainly as a way for people to try out Nix with, not to build production images on top of. We ship many things which bloat the image size but makes it nicer for interactive usage.

Using dockerTools from nixpkgs is much better and gives you much smaller images closer to Alpine size.


I might have confused download volume with image size but the tar.gz for dockerTools.buildLayeredImage with just node and mariadb in the contents is still 220MB (just checked)

Edit: with nothing in the contents it's 144M, which is getting reasonable but still nearly 30x alpine base


The World's Religions by Huston Smith


My recommendation, as well.


For those looking for a more up to date alternative, with a non-hardcoded DB file path, try https://github.com/greenbender/sqlfs (not affiliated, just had a look in this area a few weeks ago)


In the UK at least (apart from Scotland), wild camping is only legal with permission from the landowner (even in national parks), so most people use campsites to avoid the possibility of being driven off by a ranger or angry farmer.


Same in Germany; actual wild camping with a tent is not allowed. However, there is some provision to allow sleeping in the wild (sometimes called "biwakieren", using a bivouac or similar basic shelter; e.g. a tarp).

When my SO and I did a multi-week cross-country trip we went for whatever designated camping sites was close by and pitched our tent there (except Berlin, there we went for a Airbnb). Though for us this mostly replaced switching hotels every other day. We then did local stuff around there, like canoeing, hikes, museums,... However, we did spent some nights in the wild, with camp beds (US: cots) placed next to the car. But when you don't know the general area, finding a good spot for that proved rather difficult. Entering forests with a car is usually verboten, and close to main roads there will at least be a lot of morning traffic; OTOH we had a pleasant conversation with some elder locals on a morning hike when we found a spot near a nice fishing pond in a small forest (yes, yes, driving there was erlaubt, not verboten). They only regretted not having some coffee for us :)


That's depressing. But is there wild camping in Scotland then? Would be amazing.


Yes, Scotland allows wild camping.

If you're considering going to Scotland and are thinking of that sort of thing, you should also look up the concept of a "Bothy" or "Bothies", which tend to be in mountains. They are a sort of refuge/simple transient accommodation. Generally small, quite basic huts in the deep countryside and remote places, where you can stay without booking and for free, but just overnight while you're on your way around.


Perfect, exactly like here, thanks!


I made a little tool a while back for splitting up your follows by their posting frequency, but setting "nlists" to 1 should accomplish what you asked for.

You do unfortunately need a twitter developer account. Also fair warning, as far as I know I'm the only current user, but works on my machine™.

https://github.com/tauroid/twitterlanes


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