Scribble Comic

A simple set of ideas.

Point.4 and the Hydrosphere. For NASA. Jordan Townsend. Townsend’s Atomics January 13th, 2022 5:01 a.m.

x.y.z.t

Those are your single defined points in an elliptical build of any given radial sizes needed to represent the hydrosphere. Each point can be connected in 4 vectors in any number of continued connections over time to form the shape within the ellipsoid to allow the differences and merging of states between the water types of all the waters on the earth and above in the clouds. It would include all gasses as types of water/diluted materials as well showing all storm information and seas/oceans because the interactions are part of the systems required. These could then be mapped to show future possibilities (a.i. Likely tested) interactions over time and space to allow people to plan ahead. With enough computing power and sensors you could map the planet or any planet for that matter and find optimal growth areas, areas predetermined for fire or drought and ice/snow/rain/flooding/people movement–so pollution and car saturation. With this information in hand and the knowledge of the magnetic fields moving around the earth along with tectonic shifts you could manage the planet with a few or one centralized program. (P)oint.4

Chaos Theory addition: January 25th. 2022.
This might piss people off. I could clearly be wrong. Just for fun.

So we take point.4 at x.y.z.0 where zero is some standard time all agreed upon as the present. Then we take our measurements and move them backwards until the end of our clear information age. Then if possible we add in all points of known information with less than a full clarity rating out of 0-4. x.y.z.t.
Being the 4 items in the range.

This is where you need dynamic determinism. You run the progression from all negatives to zero through an a.i. that uses the unclear information as its loss material as many epochs needed while including new clear data and deteriorating/increasing unclear information as loss material in realtime sensory input showing the patterns of changes in the flows around the planet that we know. Now not just the hydrosphere but any change state like what happened near Tonga recently with the oceans volcano. That’s another hidden input layer weighted with a value to make .t non zero as we are likely femtoseconds or more behind just as perception alone has a buffer.

Over time things will become more complex if you give the a.i. the ability to create its own neurons. But if graphed properly we will see the movements of things the sensors are built to segment and classify and as those too become more complex or reduce due to change over all the ratings a suitable picture of what to prepare for may expand upon itself as long as sensors are maintained, implemented, and if repaired or swapped out for more sensitive technology.

-J January 25th, 2022. 11:57 pm.