https://creativecommons.org/licenses/by/4.0/
The fallacies with wave function collapse in
quantum computing are:
1. Limited environmental variables based on
limited data sets.
2. Wave function collapse does not consider
the outliers which are called "black swan"
but predict and prove the real world
variables that produce the least likely
probable but most likely to occur event.
3. Learning is an accumulatively cumulative
event that feeds the recursive data process
and cognition of all animal brains.
My proposal is that Schrödinger's state of
multiple probabilities are used to determine
the most likely probabilities. In this setup,
RISC ISA CPU machines running an instance
of FreeBSD on POWER64, and SPARC64
running OpenBSD would be able to:
1. Perform the learning process in the
POWER64 FreeBSD base using a tickless
kernel.
2. Stabilize the database when the OpenBSD
SPARC64 kern.hz rate is set as a divisor
into the CPU frequency with no remainder.
Fuzzy logic on the heterogeneous cluster
will provide the necessary dynamic reality
of probability distributions and black
swan events that occur in real life.
Similar to the multi and oversampling
rates and settings which ate used to
preserve the audio quality of analog to
digital format, multiple probability
distributions must be compared to
determine which extreme outliers could
occur if certain environmental variables
would randomly change.
https://freebsdgoogledeveloper.blogspot.com/2026/04/metaphorically-metaphysical.html
https://freebsdgoogledeveloper.blogspot.com/2026/04/reasoning-and-perspective-in-assistive.html
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