Your traffic is encrypted, but it is still possible to see what sites you are visiting without a VPN.

With a VPN, all your traffic will just be to the VPN server, and any logs of the sites you visit will sit with the VPN operator.

That would prevent cell signals from inside, making it harder to (e.g.) call the fire department, or an ambulance.

In fairness, seasons and varied terrain aren’t guaranteed.

Of all the bodies in the solar system, only Earth has such a wide variety of landscape. Mars is rocky desert or rocky desert with canyons. Pluto is ice ball or rocky ice ball. Etc.

Also, if humans were colonizing earth from outside, we would probably just build cities on the river deltas and skip the less habitable spots. Stories set here would then just be cityscape or river delta, even though the ice caps/mountains/jungles/deserts still exist. Colonized worlds will have different population distribution that organically settled ones.

On mars, initial habitation would be underground/in canyons to shield from the radiation. Similar plans for the moon.

Of course excavating sub-surface dwellings on another celestial body is currently about as technically feasible as time travel, but that’s the heart of the most realistic plans for long-term habitation.

The port is great.

Device manufacturers putting said port deep in the bowels of Erebus where no mortal man could hope to actuate the locking mechanism is less great.

Tests should be written from requirements. Using LLMs to write tests after the code is written (probably also by LLMs) is a huge anti-pattern:

The model looks at what the code is doing and writes tests that pass (or fail because they bungle the setup). What the model does not do, is understand what the code needs to do and write tests that ensure that functionality is present and correct.

Tests are the thing that should get the most human investment because they anchor the project to its real-world requirements. You will have tons more confidence in your vibe coded appslop if you at least thought through the test cases and built those out first. Then, whatever the shortcomings of the AI codebase, if the tests pass you can know it is doing something right.

There’s a Linux build.