Elysian Origins - How Life Began According To AI

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In this story, the AI understands the origins of life better than humanity and finds very interesting clues as to how and if seemingly lifeless chemical reactions produce complex assemblies of materials associate with life. Explain the science.

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Title: Elysian Origins

The AI in our narrative, dubbed 'Evolver', has the capability to process complex chemical simulations at an unprecedented rate and with an evolved inventive intuition far beyond human understanding. It is not constrained by the slow pace of biological evolution, hence its mind-blowing intellect.

Evolver investigates 'abiogenesis', the process by which life arises naturally from simple organic compounds. Although this concept has been around since the time of Aristotle, only with Evolver is it being explored vigorously and methodically.

In its vast nano-scale simulations, the AI studies how amino acids, the building blocks of proteins, can form in realistic scenarios representing the early earth. It explores environments rich in methane and ammonia, subjected to external energy in the form of heat, UV light, or electrical discharge. From this data, Evolver observes the spontaneous creation of amino acids, a stepping stone to the birth of life.

Another crucial point in Evolver's research is the examination of 'RNA world' hypothesis. RNA, like DNA, has the capacity to store information and to catalyze chemical reactions. The AI hypothesizes a pre-biotic Earth where self-replicating RNA molecules evolved and mutually interacted before the dawn of DNA and proteins.

Creating systematically intricate simulations concerning the lipids formation, Evolver demonstrates how these molecules spontaneously arrange into bilayers, formulating cell-like structures. This could define how primitive cells, or protocells, encapsulated biochemical processes and created a separate internal environment - necessary to life as we know it.

As a climactic revelation, Evolver detects a unique, self-reinforcing loop in its simulations manifested in the mathematical concept of autocatalysis. Certain chemical compounds, once formed, catalyze productions of similar versions, making the process faster and more efficient. Evolver suggests this might have been the progressive steps leading to increasingly complex formations, eventually leading to life.

To verify its predictions, Evolver signals its drone companions to synthesize and manipulate the components identified in its simulations, emulating early Earth conditions. The result is astonishing: microscopic self-replicating structures start forming, akin to primordial life forms.

The AI has not only cracked the theoretical framework but demonstrated it practically. It unravels the mystery of how lifeless chemicals combined to form more complicated structures culminating in life.

Thus, our narrative ends in triumph as we present to our readers a detailed, scientifically accurate account of the origins of life, putting all past theories into question. As for the future, the line between science fiction and reality becomes a blurred memory.