I've been watching Jason Brashear's videos lately. He has been saying the same thing for years based on research in old books he read for years while in prison.
He is amazing. He calls it the Simulcrum and says it is run by AI.
[https://archaix.com]
Only a mystery for people who don't know anything about thermodynamics or information theory.
Here's the simple disproof: random phenomena. It turns out that random phenomena can be modeled mathematically as to their implications, such as the kinetic theory of gases, which is very exact. The point is: a computation cannot produce a random series. We have been able to produce only pseudo-random series. If we were in a simulation, we would observe deviations from the results predicted by the assumption of a random process---but we do not see any. (This is basically the same disproof used against the argument that there are Hidden Variables that determine "random" phenomena.)
For those who think some imaginary masterminds could produce a computed random series, they have some problems. How do you start the computation? Do you get the same result from identical starting conditions? You have to, if it is an algorithm. Which means that the series embeds the information contained in the algorithm. But a random series has no information, so there will be a difference in entropy between a random series and an algorithmic series. Where is the missing entropy?
I've been watching Jason Brashear's videos lately. He has been saying the same thing for years based on research in old books he read for years while in prison.
He is amazing. He calls it the Simulcrum and says it is run by AI. [https://archaix.com]
Interesting
lol That's like a fictional character, Neo, trying to find out that he's IN the movie 'The Matrix' and not a person in real life.
Pretty much
In the begging God created the heavens and the earth.
Only a mystery for people who don't know anything about thermodynamics or information theory.
Here's the simple disproof: random phenomena. It turns out that random phenomena can be modeled mathematically as to their implications, such as the kinetic theory of gases, which is very exact. The point is: a computation cannot produce a random series. We have been able to produce only pseudo-random series. If we were in a simulation, we would observe deviations from the results predicted by the assumption of a random process---but we do not see any. (This is basically the same disproof used against the argument that there are Hidden Variables that determine "random" phenomena.)
For those who think some imaginary masterminds could produce a computed random series, they have some problems. How do you start the computation? Do you get the same result from identical starting conditions? You have to, if it is an algorithm. Which means that the series embeds the information contained in the algorithm. But a random series has no information, so there will be a difference in entropy between a random series and an algorithmic series. Where is the missing entropy?
Learn more. Fantasize less.
Science is on the verge of finally answering the BIG question. Flat simulation or globe?