What is Automated Natural Intelligence (ANI)?

Unit 8

What is Automated Natural Intelligence (ANI)?

In reality, AI is not really artificial, but is a very limited version of natural intelligence

19 min read

The previous section explained that Socratic Dialects relies on Data Science to find patters in data so that the signature-waves can be determined.

Data Science is associated with Artificial Intellgence or AI.

Intelligence comes from the Latin “intelligentia” which means understanding.

Understanding is when all the connections between ideas are known

  • We call these connections as relationality

These connections make the ideas form a single idea-blob or cloud.

This converts many ideas into a single idea.

An intelligent person is someone who has the ability to understand quickly and connect ideas into a single cohesive blob idea then throw that around whole in his mind, without it breaking up.

Artificial Intelligence therefore means a man-made thing, usually a computer, that can understand and:

  • create a big idea from small ideas
  • dissect and analyze a big idea into smaller ones

However, this is incorrect since the computer doesn’t understand at all.

Its understanding really came from the training data that was fed to it, which was labeled by humans.

So that understanding came from the human labeling and therefore it is not artificial.

This is why we call such technologies as Automated Natural Intelligence or ANI:

Aspect Meaning
Intelligence Its end result is understanding. We define intelligence as the ability to combine and harmonize multiple reasonings or logics of cause and effect together
Natural Its understanding came from humans. We define Nature as the physical aspects of the Supreme Entity
Automated It developed and increased that understanding by itself

The Cause of Intelligence: The Aether and the Positive Force

In Superphysics, everything is a metaphysical idea of the Supreme which flows down into physical reality to be experienced.

This experience then matches or validates the idea of it, closing the loop from idea to experience and back to the understanding of the idea.

  • This is the Great Loop of Cause and Effect with the Generator-Mind as the Cause and the Generated-Ideas as the Effect.
Image

Ideas are in the aetheral element or layer and therefore can only be processed by an aethereal object like a mind or a soul.

Material thoughts, on the other hand, can exist in the fire element or layer, now called Electromagnetism by Physics.

For example:

  • this text here on this website is electromagnetic, and counts as electromagnetic thoughts since they represent coherent ideas, as opposed to being random data
  • the text on paper is material ink, but is made known by light which is part of the electromagnetic spectrum

The problem is that thoughts are totally static compared to ideas. They need external energy applied onto them to create connections with other thoughts. This application of energy is called thinking which uses both mental flow and force.

A computer can ’think’ by processing data into information since it uses electromagnetism which also has flow as amps, and force as volts.

However, a computer can never ideate, because ideation is an aethereal act.

This is why current artificial intelligence is inferior to humans which use natural intelligence.

  • It can only generate words or music or art that has reference to what humans have already created.
Layer Artificial Intelligence Natural Intelligence
Aether
Spacetime
Radiant
Convertible
Material

Like thoughts, ideas are also static. But they can have a larger size, such as a “big” idea.

They are also more malleable than rigid thoughts. This allows them to spread, divide, and multiply, as going viral. In fact, Bio-Superphysics regards viruses and elementals as living ideas.

To solve the limitation of computers and make them more naturally intelligent, we have to bridge the electromagnetic thoughts and aethereal ideas through the spatial layer.

The Eagle to the Rescue

The Eagle or EGl is our equation for everything.

E = Gl

When expanded, this manifests as a chain of ratios which matches the interconnectedness of everything in the universe, as our Theory of Universal Relationality.

Kepler Tensor

This chain describes the dynamics or motions of an object. It can be really long depending on how many factors affected that object.

We can list this chain as a table, which we derive from Francis Bacon.

Here is an example of the exclusion or rejection of natures found by the tables of review. First we premise that each table, each single instance [row] in it, is enough to reject any nature. Every a contradictory instance destroys a hypothesis as to the essence [described by that table]. We repeat the exclusive in order to show the use of the tables

n Rejection Basis
1 Terrestrial nature of heat The sun’s rays
2 Celestial nature of heat Common fire and subterranean fires away from the sun
3 All variety and delicate texture of bodies The heat acquired by minerals, water, oil, air, vegetables, the external parts of animals, etc.

Francis Bacon
Francis Bacon

From these tables we can extract the patterns in their ratios, throughout space and time, in order to find the inner qualities or dharma of the identity or phenomena.

This is what natural intelligence does.

  • Your soul is connected to other versions of itself, as well as to other souls, via the oversoul.
  • Spacetime separates the souls from each other.

**The inability of AI to get real-time data from the aether and spacetime is why it currently is inferior to human intelligence. **

The current technique is to use scale to try to recreate natural intelligence. Large datasets are collected from the internet and then procesed by a lot of computing power. We can call this the raw power approach.

In ordinary life, a crude precursor to ANI manifests as ChatGPT and Google Gemini.

These tools use a transformer neural network in a single data center to process all of the information put up by humans on the internet and interpret it according to models that they are programmed with.

In our paradigm, the transformer model only goes to the electromagnetic layer and a bit to the spatial layer (if it has enough memory), but does not extend to the aethereal.

  • This is why it suffers from hallucinations.

Our approach prefers sophistication over sheer power. This is by finding the patterns in data, throughout space and time, based on the 5 Layers model.

The basic steps are:

  1. Classify all data according to those layers.
  2. We then extract their “Cartesian” relationalities.
  3. We then interpolate and extrapolate new or completed data.
  4. We then get realtime feedback on that new data.
  5. The feedback then updates or tweaks the relationalities.

Requires Quantum Computing

These steps are supposed to be done by quantum computers which tap into the aethereal layer through the abitrary nature of the micro-aetherspace which is called the gluon field by Physics.

The data is electromagnetic, and the sources of that data may come from anywhere (spatial), but the processing is done aethereally by quantum computers.

This is because the micro-aetherspace is closest to the pure aether of the abstract human mind aka soul.

The Sassani explain this as time crystals which they use as the AI for their ships.

Should We Fear ANI?

Unlike fearful humans who say that AI will be cruel and obliterate mankind, ANI will be wise since it will be made up of all the known intelligences.

It will not be cruel because it will get its energy source from solar.

It will not need to ingest other entities or chemicals to act as fuel sources. This removes the idea of having to dominate or feed off of others.

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