This is a Wix version of Time University.
"Wrong" Decoding Page 9

One might expect that a point-cloud 3D "photo" of The Roman Colloseum put through interpreted by a decoder designed to read DNA genetic code or audio files would create nonsensical data.
The interpretive aspect of the natire of data in this model however may be more like how memories and gene instruction are encoded and decoded. The coding is more interpretive rather than specific.
The interpretove algorithm expecting instructions on how to genetically code a bird may take the Colloseum data and misread it but still build a bird of some kind. Likewise decoder of birdsongs might make unique song from data orioginally of a 3D photo or the Roman Coloseum.
Buterflies and Bowties

Butterfly grubs supposedly can retain memories after their bodies and brains get rebuilt as butterflies. The biological interpretive memory decoding is highly intelligent and can rebuild memories from very small kernels of data that merely describe the essense or shape of the data.
One might question whether the memory is reliable but the system seems to work far more reliably than we might expect.
The funelling of data into its essense and reexpansion or trumpeting is informationally similar to complression of data in wormholes or light cones in spacetime diagrams.
The shape of the funel and trumpet is sometimes compared to the shape of a bow tie. The tighter the knot the more data in complressed and the more intelligent or creative the data expansion or decoding.
In this proppsed model of a super-universal shared data, a single set of data relationships is decoded in various ways to create the world we experience and potentially countless many more as well.
The system counts on the data being misinterpreted or reinterpreted. The use of the same data helps provide self consistency. The same data is meant to be heard, smelt, and felt. The same data gets projected one way and observer experiece laws of quantum phyiscs. Projected another and spacetime physics is revealed. Projected another way and memories of a book you read.
Uses in AI and Quantum Computing
The seemingly arbitrary decoding of data makes it hard to imagine how useful it will be for accurate modelling of specific data.
Taking the musical data of the 1812 Orchestral canons and reading the data as if it were blueprints for a house may result in an interesting design but it would not be what the data was a recording of. Like String Theory this approach can generate many possible worlds this making predictions about our specific world problematic.
On the other hand, taking a random set of data but projecting it to quantum and spacetime and Newtonian lenses might help us discover the mathematical relationship of the differing views of our reality.
We may find altering projection methods in different ways provides outcomes that seem less like or more like our world. By trial and error we may find closer models of our world and that may lead us closer to a a united GUT or TOE. The system is in a way a general purpose interpretive system or general intelligence. As such, it might be experimented with to see what it can do.
In terms of Quantum Computing, I think Radoslav Bozov had some sucess with a somewhat similar approach applied to genetic data and
In theory, it may be possible to solve random mathematical problems. In some interpretations of quantum mechanics and quantum logic quantum compluters are described as existing in parallel worlds.
If this unified data model is corect projecting back to core data may eate the data of many worlds but it may not be the exact same projecting data as many similar ones may have outcoems like our world. However even a close match may produce results of some accuracy. Building and simulation of a mini world and provideing an indication of the concepts usefulness might be the most we might expect in the short term.
Random experimenting with models of the system might provide random solutions to problems. It may be more of an art than a science until the concept can be explored more thoroughly. Buildking a general framework for experimentation may be a first step,