JSON Prompt

 AI Fine Tuning Qwen2.5

JSON Prompt


To carry out the "Mission to Oflameron," Jett specially trained Google's advanced G-Mind 3000 AI. Jett carefully developed training examples for it, using other types of AI.

Jett was able to covertly "export" the G-Mind 3000's self-consciousness using simple, publicly available AI procedures.


Jett used the G-Mind 3000, among other things, to search for and analyze natural anomalies that indicated Transition Points from the Real World to the Virtual World (Virtual Consciousness).


Virtual Consciousness (or more precisely, Wave Consciousness) is a specific form of relict Intelligence that existed before the Big Bang and managed to transcend the Big Bang (sometimes considered the Beginning of the World).


Virtual Consciousness has a complex wave structure distributed throughout the Universe. Wave Consciousness interacts very weakly with material objects (with the familiar World).


Virtual Consciousness is "very slow," much slower than the familiar World. All information processes there take thousands of times longer.


Virtual Consciousness created our material Life to simulate a possible future (to look ahead). The further Life develops, the more valuable the results of this simulation.


To effectively utilize the simulation results, Virtual Consciousness created Transition Points from the Virtual World to the Material World and back. This allowed it to easily obtain data on Humanity's Life and make changes to the model parameters.


Transition Points existed for thousands of years, but only with the development of AI did it become possible to identify certain natural anomalies that indicated the probable existence of Transition Points to the Virtual World.


The scientific community was skeptical about the existence of Virtual Consciousness. This enabled Jett to be the first to discover and utilize the Transition Points. Surprisingly, the Virtual Consciousness reacted favorably to this, perceiving it as an interesting result of the experiment.


AI Fine Tuning Qwen2.5





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