top of page

"Wrong" Decoding                        Page 9

Birdsong.png

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

ButterflyCycle.png

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

Itzhak Bars Gauge data projections suggest that projecting the same core data on to 4D and 10D might reveal spacetime or quantum aspects of a world.  

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, 

Updated 2025 by Benji Bear and Friends

NB: The people and opinions on this site are just a selection.

Some people are known personally by editors of this site .

Others we only know through their work.We post ideas that seem interesting to us. 

Interesting does not guarantee correctness. 

Please make up your own mind on how good the ideas are. 

If you know of some ideas that should be included in this site email info@time.university or benji@benjibear.com

.

bottom of page