paw

Out of interest, do you have any sources that what he does is not reliable? This is not some kind of I’m pissed off about your comnent, I’m actually not. Having said that, I see tgis as an opportunity to learn about Harris’ shortcomings. Thanks in advance.

According to Johnny Harris (https://m.youtube.com/watch?v=WYQxG4KEzvo) he does go into the details, according to Johnny’s sources. I can’t stand Elon as well, but I’m no longer sure if he’s just an investor.

From my opinion it is more computer science sorcery than math sorcery.

For true random generation you usually need some specialized hardware for it, that uses sone natural source of random. One could use the decay of a radioactive material as such a source or the noise one can get from audio input. Unfortunately, I don’t know what actual hardware uses.

For pseudo random generation, you usually use a seed (ideally a true random value or something with a high entropy) which you feed into an algorithm like Linear Congruental Generator (LCG) or Mersenne Twister (there are lots of algorithms).

One further important note: Tge use case forvwhich you need random numbers is important. A video game could accept a random number generator with “lower” quality while a cryptographic algorithm always needs a cryptographic secure random number generator (don’t forget: “don’t roll your own crypto”).

Finally there are quasi randim number generators, however this name is very misleading. The mathematical correct term is low discrepancy sequence. There are not random at all but can be used and have useful properties in some settungs where pseudo random number generators can be used. Never in a cryptographic algorithm, though.