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Comment Re: Linux Domestic Everywhere (Score 1) 151

I prefer a PoE hat and PXE booting. I have about 14 of them doing different jobs all booting and running from a NAS. Makes remote updates easy too.

That sounds like a fine solution for a working network situation. My needs are more in line with putting Pis in places the network is spotty and I need them to survive for a while on battery and restart from local storage and keep on doing the thing when power is lost for too long. So a UPS hat and NVME seems to do the trick.

Comment Re:Linux Domestic Everywhere (Score 1) 151

> random number generators replaced by domestic designs.

Do you have any information on that? Like which domestic designs? Is there a link?

I've designed the RNGs in several chips including the RdRand/RdSeed one in Intel CPUs. The AMD one was a bit weird but I have no information on it. In my current role we sell a couple of RNG silicon IPs to whoever wants one (a big fast one and a small slow one) and I've left behind a trail of RNGs in other places.

A thing I've noticed is that a number of the RNG IPs out there are not great, but they are for sale and people buy them, including national bodies looking for their own national secure silicon designs, but they're getting the RNG from a chop shop in Bangalore, except for India who's getting theirs from outside India.

Comment Re:Foolish (Score 4, Informative) 46

>we don't have any other means of recognising who is allowed to work and who is not.

Yes we do. It's called a share code. Get a visa and you no longer get a big sticker in your passport. You get status on a government computer. When someone asks you to prove that you are legit to work, you log in, get a share code and give to the person asking. They can log in, enter the share code and it will confirm or deny that you are legit to work based on you visa.

I'm British. My wife is American. That is how I know.

Comment Re:Can someone help explain "perfect" randomness? (Score 1) 140

You are heading down the right path.

A book that made things more clear for me is "Non uniform random variate generation" by Luc Devroye (https://www.cs.fsu.edu/~mascagni/Devroye.pdf).

The generation of different distributions can be done algorithmically, but the algorithms get to the core of the processes making the noise. E.G. 1/f noise can be made from summing many exponential decaying functions. Electrons falling in holes in silicon - same thing. So we have 1/f noise in silicon. The type of process determines the type of noise whether quantum electron events or rain or insects chirping.

While noise does emerge from quantum things, it also can emerge from higher level processes.

Comment Not True (Score 2) 140

Claims of perfect randomness from quantum physicists are always wrong.

1) The claims rely on some detector being 50/50 (they never are), always detecting individual events (they often see multiple or none) .
2) Randomness amplification is a subfield of entropy extraction and it cannot give you full entropy (aka perfect randomness).

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