Version 1
: Received: 19 September 2024 / Approved: 19 September 2024 / Online: 19 September 2024 (12:02:49 CEST)
How to cite:
Samid, G. Negotiating Darwin’s Barrier: Evolution Limits Our View of Reality, AI Breaks Through. Preprints2024, 2024091505. https://doi.org/10.20944/preprints202409.1505.v1
Samid, G. Negotiating Darwin’s Barrier: Evolution Limits Our View of Reality, AI Breaks Through. Preprints 2024, 2024091505. https://doi.org/10.20944/preprints202409.1505.v1
Samid, G. Negotiating Darwin’s Barrier: Evolution Limits Our View of Reality, AI Breaks Through. Preprints2024, 2024091505. https://doi.org/10.20944/preprints202409.1505.v1
APA Style
Samid, G. (2024). Negotiating Darwin’s Barrier: Evolution Limits Our View of Reality, AI Breaks Through. Preprints. https://doi.org/10.20944/preprints202409.1505.v1
Chicago/Turabian Style
Samid, G. 2024 "Negotiating Darwin’s Barrier: Evolution Limits Our View of Reality, AI Breaks Through" Preprints. https://doi.org/10.20944/preprints202409.1505.v1
Abstract
Physics is imagined in the human brain which was formed in Darwin's Evolution by responding to certain threats for the survival of our evolutionary ancestors. The struggle to survive prevented us from wasting resources by paying attention to parts of reality that had no survival impact. These parts are of unknown scope and dimension. Can we negotiate this Darwin's barrier? As to reality within our reach, we suffer from imbalance between information absorption capacity and information analysis capacity which resulted in ignoring the overflow of information to match human capacity to make sense of it. Also James Clerk Maxwell suggested that reality has small scale phenomena beyond our human reach. Since we have no brain other than what Darwin equipped us with, this barrier looked unsurmountable. But lo and behold: much as we have built vehicles to carry us further than our biological legs, so we now build artificial intelligence machines that carry us beyond our Darwinist barrier. Physics may transform to building AI capability to ride on. This capability may require a more universal geometry and material representation to fit AI inference engines. Suggesting Depth Unbound Reality Architecture (DURA). AI connects raw data to its conclusion potential, by-passing a storied theory of nature. The objective of physics ahead may be to build theory-replacement AI machines.
Keywords
Non-Euclidean Geometry; AI; natural laws; Darwin's evolution; space-time; Neural Network; unbound geometry; model of reality; universal time
Subject
Physical Sciences, Theoretical Physics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
