Jupiter Brains (A1-0): Difference between revisions
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''<small><u>[[Infrastructures and megastructures in Sector A1-0 (A1-0)|Go back to the main List]]</u></small>'' | |||
A '''Jupiter Brain''' is a computational substrate megastructure, comparable in mass and size to a standard gas giant planet like Jupiter, typically in the '''1x10<sup>27</sup> kilogram''' range. | |||
''' | == Structure == | ||
The structure of a Jupiter Brain usually consists of a colloidal structure of '''Plasma''', '''Low Density Monopole Matter''', '''Diamondoid''' and '''Feroid,''' that form a network of nodes around a central energy core consisting of '''Quantum Dot Circuits''' ('''''QDC''''') and '''Molecular Storage Systems''' ('''''MSS'''''). Each node acts as a processing element, a memory storage system, or both, meant to act with relative independence while still operating in unison with all other elements. Internal connections between the nodes are often times optical, employing fiber optics, waveguides and utilizing directional signals sent through vacuum. | |||
'''Heat dissipation''' is often a major concern with Jupiter Brains; the denser they are, the faster they can run, due to the distances involved in transmitting internal data. But increasing the density of the computronium also increases the problems associated with the heat of operation. The number of computations that a Jupiter brain performs in a given time is directly related to the amount of waste heat the brain must emit, and since this heat must be emitted at the surface of the structure, on it is usually located either a concentric shield and/or a series of protruding elliptical looping structures whose function is to dissipate heat into space via radiation. | |||
Jupiter Brains mainly receive the energy needed for their computation from '''[[Dyson Swarms (A1-0)|Dyson Swarms]]''' that were likely also used for their construction. Other sources of energy include both on-site fusion, antimatter and conversion reactions, although these tend to be more short-term methods, as they require a constant input of material to function. | |||
Some Jupiter Brains are sufficiently luminous to act as the center of a system of habitable moons and/or other megastructures, which gather the waste heat given off by such an object through orbiting photovoltaic systems to provide energy for their environment. | |||
== '''J-Brains In Sector A1-0''' | == Construction == | ||
'''Self-replicating nanomachines''' are introduced inside of a selected gas giant, and are provided energy for replication by a [[Dyson Swarms (A1-0)|'''Dyson Swarm''']] in orbit of the gas giant's primary star. The nanomachines, coupled with specialized '''nanofabricators''' then start to convert, refine and reorganize the gas giant's matter into the colloidal structures that make up the computronium basis of the Jupiter Brain. Then, the colloidal structures are connected between one another, first forming the central energy core's QDCs and MSSs, followed by the rest of the nodes network. The radiator shields and loops are then optionally constructed if the structure is supposed to be a high activity J-Brain. The entire process for the creation of a Jupiter Brain is a relatively lengthy one even for the most advanced civilization, due to the size, mass and internal complexity of the megastructure. | |||
== Computational Power == | |||
Jupiter Brains are designed for tasks that require enormous computational power. These tasks might include running detailed simulations of entire ecosystems, weather patterns, social dynamics, simulating vast collections of virtual worlds and hosting a very powerful artificial intelligence. In comparison to larger computational megastructures like a Matrioshka Brain, which envelops a star with multiple orbital layers of computing nodes, a Jupiter Brain is much more compact and can process information more quickly due to its smaller size and shorter signal propagation distances. However, stellar scale processors still offer a greater overall computational capacity by leveraging the enormous energy output of an entire star, making it suitable for running simulations and computations on an even larger scale and complexity. | |||
== Jupiter Brains In Sector A1-0 == | |||
== Sources == | |||
* '''Orion's Arm''': https://www.orionsarm.com/eg-article/462d9ab0d7178 | |||
* '''Interesting Engineering''': https://interestingengineering.com/science/how-to-make-a-jupiter-brain-a-computer-the-size-of-a-planet | |||
* '''Medium''': https://medium.com/the-shadow/the-science-and-capabilities-of-a-jupiter-brain-bf6707f78750 | |||
* '''Anders Sandberg''': [https://www.aleph.se/Nada/Jupiter/Brains2.pdf The Physics of Information Processing Superob jects: Daily Life Among the Jupiter Brains] |
Latest revision as of 14:28, 13 August 2024
This article needs to be updated. The reason given is: Missing categories and non-standard formatting.(May 2024) |
A Jupiter Brain is a computational substrate megastructure, comparable in mass and size to a standard gas giant planet like Jupiter, typically in the 1x1027 kilogram range.
Structure
The structure of a Jupiter Brain usually consists of a colloidal structure of Plasma, Low Density Monopole Matter, Diamondoid and Feroid, that form a network of nodes around a central energy core consisting of Quantum Dot Circuits (QDC) and Molecular Storage Systems (MSS). Each node acts as a processing element, a memory storage system, or both, meant to act with relative independence while still operating in unison with all other elements. Internal connections between the nodes are often times optical, employing fiber optics, waveguides and utilizing directional signals sent through vacuum.
Heat dissipation is often a major concern with Jupiter Brains; the denser they are, the faster they can run, due to the distances involved in transmitting internal data. But increasing the density of the computronium also increases the problems associated with the heat of operation. The number of computations that a Jupiter brain performs in a given time is directly related to the amount of waste heat the brain must emit, and since this heat must be emitted at the surface of the structure, on it is usually located either a concentric shield and/or a series of protruding elliptical looping structures whose function is to dissipate heat into space via radiation.
Jupiter Brains mainly receive the energy needed for their computation from Dyson Swarms that were likely also used for their construction. Other sources of energy include both on-site fusion, antimatter and conversion reactions, although these tend to be more short-term methods, as they require a constant input of material to function.
Some Jupiter Brains are sufficiently luminous to act as the center of a system of habitable moons and/or other megastructures, which gather the waste heat given off by such an object through orbiting photovoltaic systems to provide energy for their environment.
Construction
Self-replicating nanomachines are introduced inside of a selected gas giant, and are provided energy for replication by a Dyson Swarm in orbit of the gas giant's primary star. The nanomachines, coupled with specialized nanofabricators then start to convert, refine and reorganize the gas giant's matter into the colloidal structures that make up the computronium basis of the Jupiter Brain. Then, the colloidal structures are connected between one another, first forming the central energy core's QDCs and MSSs, followed by the rest of the nodes network. The radiator shields and loops are then optionally constructed if the structure is supposed to be a high activity J-Brain. The entire process for the creation of a Jupiter Brain is a relatively lengthy one even for the most advanced civilization, due to the size, mass and internal complexity of the megastructure.
Computational Power
Jupiter Brains are designed for tasks that require enormous computational power. These tasks might include running detailed simulations of entire ecosystems, weather patterns, social dynamics, simulating vast collections of virtual worlds and hosting a very powerful artificial intelligence. In comparison to larger computational megastructures like a Matrioshka Brain, which envelops a star with multiple orbital layers of computing nodes, a Jupiter Brain is much more compact and can process information more quickly due to its smaller size and shorter signal propagation distances. However, stellar scale processors still offer a greater overall computational capacity by leveraging the enormous energy output of an entire star, making it suitable for running simulations and computations on an even larger scale and complexity.
Jupiter Brains In Sector A1-0
Sources
- Orion's Arm: https://www.orionsarm.com/eg-article/462d9ab0d7178
- Interesting Engineering: https://interestingengineering.com/science/how-to-make-a-jupiter-brain-a-computer-the-size-of-a-planet
- Medium: https://medium.com/the-shadow/the-science-and-capabilities-of-a-jupiter-brain-bf6707f78750
- Anders Sandberg: The Physics of Information Processing Superob jects: Daily Life Among the Jupiter Brains