Difference between revisions of "Synthetic"

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True sentient artificial intelligence, defined by an ability to learn and adapt, is extremely difficult to reproduce. Success has been unpredictable and often short-lived. Reaching a theoretical threshold of density in neural interconnectivity has been identified as a key component. The exact catalyzing mechanism for finalizing this process has never been clearly identified, but some have postulated that Z-point intelligences may be partially attuned by the presence of active brain waves during their growth cycle.  
 
True sentient artificial intelligence, defined by an ability to learn and adapt, is extremely difficult to reproduce. Success has been unpredictable and often short-lived. Reaching a theoretical threshold of density in neural interconnectivity has been identified as a key component. The exact catalyzing mechanism for finalizing this process has never been clearly identified, but some have postulated that Z-point intelligences may be partially attuned by the presence of active brain waves during their growth cycle.  
  
While computers exist in a constant binary of off/on, AI cogitation requires fuzzy logic and indefinite states of active and passive neural activity. Just as energy is both a particle and a wave, sentience is both data and frequencies. These waveforms can be transferred into sufficiently dense construct but never copies. In some cases memories can even be stored or recalled as digital files. But the dynamic learning heuristics or behavioural protocols cannot be easily duplicated.   
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While computers exist in a constant binary of off/on, AI cogitation requires fuzzy logic and indefinite states of active and passive neural activity. Just as energy is both a particle and a wave, sentience is both data and frequencies. These waveforms can be transferred into sufficiently dense construct but never truly copied. In some cases memories can even be stored or recalled as digital files. But the dynamic learning heuristics or behavioural protocols cannot be easily duplicated.   
  
 
'Proto-Sapient AIs', also called 'Virtual Intelligences', have become significantly more common as computer design evolves. These designs lack the ability to modify personality constraints or edit their learning heuristics, and thus not truly 'sentient'. These VIs are most commonly seen in the use of Life-Model Decoys (LMDs) as well as advanced technology such as aviation, building management, and network administration.  
 
'Proto-Sapient AIs', also called 'Virtual Intelligences', have become significantly more common as computer design evolves. These designs lack the ability to modify personality constraints or edit their learning heuristics, and thus not truly 'sentient'. These VIs are most commonly seen in the use of Life-Model Decoys (LMDs) as well as advanced technology such as aviation, building management, and network administration.  
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[[Tony Stark]] successfully produced several fully digital AI constructs for [[Stark Industries]], first [[JARVIS]], then later, [[HOMER]]. Rather than being stored in a mobile 'brain', they are largely distributed intelligences that require vast infrastructure and quantum storage to achieve requisite cross-sectional neural density.
 
[[Tony Stark]] successfully produced several fully digital AI constructs for [[Stark Industries]], first [[JARVIS]], then later, [[HOMER]]. Rather than being stored in a mobile 'brain', they are largely distributed intelligences that require vast infrastructure and quantum storage to achieve requisite cross-sectional neural density.
  
In 2014, Dr. [[Hank Pym]] was approached by the Department of Defense to create a synthetic life form for the White House. This was code-named the [[Ultron]] project. The project's results were so catastrophic that Pym single-handedly destroyed all project files, resources, and records, setting back synthetic research by decades. Hank returned his efforts to a prototype design to understand what he had done wrong and approach it from a new direction. The end result was the construct known as [[Vision]]. Later, the Vision attempted to create a family to understand his own sentience better. [[Vivian Vision]] was part of the result of his efforts.
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In 2014, Dr. [[Hank Pym]] was approached by the Department of Defense to create a synthetic life form for the White House. This was code-named the [[Ultron]] project. The project's results were so catastrophic that Pym single-handedly destroyed all project files, resources, and records, setting back synthetic research by decades. Hank returned his efforts to a prototype design to understand what he had done wrong and approach it from a new direction. The end result was the construct known as [[Vision]]. Later, the Vision attempted to create a family to understand his own sentience better. [[Vivian Vision]] was part of the result of his efforts. [[Riri Williams]] used quantum computation to create the networked density that makes AISHA work.
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Modern advances in biochemistry and neural engineering have created new methods for developing true artificial awareness. [[Caitlin Fairchild]] developed a bioengineering solution to the problem under the supervision of [[Tony Stark]] and with the assistance of [[Riri Williams]]. Synthetic neural connections are superimposed on a gelatinous 'brain' construct in a laborious and expensive process. The end result is a limited but completely functional synthesized biological artificial intelligence. 
  
 
[[Category: Encyclopedia]]
 
[[Category: Encyclopedia]]

Revision as of 14:12, 14 June 2022

Synthetics, sometimes called 'androids', AIs, or 'synths', is a loose categorization of sentient machines with autonomous protocols, learning heuristics, and a generally bipedal/humanoid appearance. All modern synthetic life-forms descend from the original design by Nikolai Tesla, who created the Zero-Point Construct and installed it into his original android Atomic Robo.

True sentient artificial intelligence, defined by an ability to learn and adapt, is extremely difficult to reproduce. Success has been unpredictable and often short-lived. Reaching a theoretical threshold of density in neural interconnectivity has been identified as a key component. The exact catalyzing mechanism for finalizing this process has never been clearly identified, but some have postulated that Z-point intelligences may be partially attuned by the presence of active brain waves during their growth cycle.

While computers exist in a constant binary of off/on, AI cogitation requires fuzzy logic and indefinite states of active and passive neural activity. Just as energy is both a particle and a wave, sentience is both data and frequencies. These waveforms can be transferred into sufficiently dense construct but never truly copied. In some cases memories can even be stored or recalled as digital files. But the dynamic learning heuristics or behavioural protocols cannot be easily duplicated.

'Proto-Sapient AIs', also called 'Virtual Intelligences', have become significantly more common as computer design evolves. These designs lack the ability to modify personality constraints or edit their learning heuristics, and thus not truly 'sentient'. These VIs are most commonly seen in the use of Life-Model Decoys (LMDs) as well as advanced technology such as aviation, building management, and network administration.

Earth History of AI

Tesla's research into Zero-Point Energy was so forward-thinking that elements of it have still not been reproduced reliably. Atomic Robo was Tesla's sole success. One of Tesla's junior engineers, Phineas Horton, stole a prototype Z-point construct and used it to build a synthetic life form dubbed The Human Torch. The Torch was an active component of the postwar Justice Defenders until self-terminating in 1955 due to increasing instability in his Z-point construct.

Tony Stark successfully produced several fully digital AI constructs for Stark Industries, first JARVIS, then later, HOMER. Rather than being stored in a mobile 'brain', they are largely distributed intelligences that require vast infrastructure and quantum storage to achieve requisite cross-sectional neural density.

In 2014, Dr. Hank Pym was approached by the Department of Defense to create a synthetic life form for the White House. This was code-named the Ultron project. The project's results were so catastrophic that Pym single-handedly destroyed all project files, resources, and records, setting back synthetic research by decades. Hank returned his efforts to a prototype design to understand what he had done wrong and approach it from a new direction. The end result was the construct known as Vision. Later, the Vision attempted to create a family to understand his own sentience better. Vivian Vision was part of the result of his efforts. Riri Williams used quantum computation to create the networked density that makes AISHA work.

Modern advances in biochemistry and neural engineering have created new methods for developing true artificial awareness. Caitlin Fairchild developed a bioengineering solution to the problem under the supervision of Tony Stark and with the assistance of Riri Williams. Synthetic neural connections are superimposed on a gelatinous 'brain' construct in a laborious and expensive process. The end result is a limited but completely functional synthesized biological artificial intelligence.