> how can we store a 24 byte long string, inline? Don't we also need to store the length somewhere?

> To do this, we utilize the fact that the last byte of our string could only ever have a value in the range [0, 192). We know this because all strings in Rust are valid UTF-8, and the only valid byte pattern for the last byte of a UTF-8 character (and thus the possible last byte of a string) is 0b0XXXXXXX aka [0, 128) or 0b10XXXXXX aka [128, 192)

You basically need to know some kind of a model for the system to run KF. Whereas ML is all about working out the model automatically.

As for similarities, KF is a really efficient implementation of Bayesian inference. I think that any ML model that isn't fundamentally using Bayesian inference, is fundamentally flawed.

I'm not a data scientist but a portion of my job is creating pipelines, data analytics and such. I also only have a bare minimum knowledge of web technology. Why is knowledge of web technology part of being a good Data Scientist? Or is this point oriented specifically for data scientists working in web based companies?

Genuinely curious. I could imagine myself working as a DS in the future and that's why I found this article interesting.

Radiative heat loss scales with the fourth power of temperature. I don't know what temperature the ISS radiators are but suppose they are around 300K. Then I think the radiative surface to keep something cool at 10K would need to be 30^4, or 810000 times larger per unit heat loss. So realistically I think you would need some kind of wacky very low temperature refrigeration to raise the temperature at the radiator, and then maybe radiate the heat into the lunar surface.

But there's only a 10% chance of that.