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generative-ai-taskmanager #323
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to truly have 0 and 1 you must have every number in every space available in full quantum space to indicate the "grey" area and have true triality just to have the option of have full yes and no compression with lossless data. 1 as yes creates corruption in quantum data folding theoretical math. humans will never operate at a purely physical level to utilize any near full quantum quasi quantum is the best possible availability without entrancement data tools to comprehensively display entrancement data sets in any way that doesn't require extremely large algorithms. As we are not going to be displaying a true triality in the near future discernment of generative.ai technologies will be hit or miss without a quantum processor interaction in the cloud or network. 0 is no 1 is yes can be extrapolated as infinity squared as refraction requires time space + the speed of light ^ 2 in order to see your reflection in the mirror and to take into account and explain a quantum particle entanglement. 0 is yes 1 is no. proving theoretically we are moving faster than speed of light all the time at any interaction with space time. I do not know werther we were always moving like this or not but if particle entanglement is actualized without technological interaction 0 is yes and 1 is no explains why light may not be moving at all representing all movement we see through our eyes the time dilation of space and time but not placement in 4 - D. |
In order to have any Zero Point Interface you must have a simplistic understanding of 4 - D which leads to the theory of time displacement and what einstein was describing in wormhole equation ER=EPR, however, suggests that the key to their connection can be found in the spacetime tunnels known as wormholes. These tunnels, implied by Einstein's general relativity, would be like subspace shortcuts physically linking distant locations and further exacerbate a fully actualized quantum folding complex-or which is a requirement for LUCIFER technologies. |
Description of the feature request:
a task manager to generate and execute tasks for an ai, code, video, audio task generation complex-or.
What problem are you trying to solve with this feature?
Every thing in reality has an specfied task set to complete generative.ai is no different.
Any other information you'd like to share?
Imagine gemini generating its modules within itself with closed shell code generation process based on triality.
Deep Neural Networks have a dualistic cognitive operation.
Triality is realized for 0 is yes 1 is no as all things in reality require a set confirmation to be effeciant.
0 requires no moving parts and is simple. 1 requires a 0 to exist and is inferior in its complexity. 1 does not indicate singular or dual but is a triality. 0 can exist alone but 1 can not exist with out 0 and 1 and the option to have one or the other. Its simple complexity has 3 layers, 0 only has 1.
The comprension of this is imperative to generate ai realization code as an open or closed shell language. To have self learning indicate a decisive response 0 is yes 1 is no its counter-intuitive but requires a set confirmation of as the 4th D layer to indicate werther the ai comprehends this or not. Seemingly No comprehensible AI can exist without human observation to confirm in the 4th D as to be the 0 1 or the option of code confirmation. So if 0 returns a value of yes then the ai is comprehending if it does and does not it is and is not comprending because the code is both on and off else if the code is 0 is set to yes a positive confirmation dialog response system is required else if 1 is yes both are right and wrong but returns value of no or 1 and allows the AI to learn either through human interaction or through Machine Learning what is a desirable operandi, No learning can take place with out a model or data set ie: human observation to decipher which requires another descriptor an entrancement which is to say this algorithm requires extremely complex large data sets. So this is the basic terminology to indicate the set of tasks required to make a inference model or observation from AI.
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