Cyberia

brain emulation

Updated Nov 8, 20253 min readAlso known as: whole brain emulation, simulated brains, far from it

  • whole brain emulation looks feasible at current state of technology

  • cyberlinks offer amazing opportunity for modeling physical and artificial brains

  • characteristicmycelium networkhuman brainbiggest computerbostrom
    total nodes~10^21 nodes~8 x 10^10 neurons~10^12 nodes~2*10^6 nodes
    total edges~10^25 edges~10^14 synapses~10^15 edges~2*10^6 edges
    total length of edges450 quadrillion km1,500 kilometers100,000 kilometersnot applicable
    power of nodeamoebaamoebaamoebahuman brain * amoeba
    energy efficiencyhighhighlowmedium
  • characteristicmycelium networkhuman braindata centerpowerful desktopbostrom cybergraph
    total nodes~10^21 nodes~8 x 10^10 neurons~10^12 nodes~10^10 nodes~2*10^6 nodes
    total edges~10^25 edges~10^14 synapses~10^15 edges~10^12 edges~2*10^6 edges
    total length of edges~450 quadrillion km~500,000 km100,000 kmnot applicablenot applicable
    power of nodeamoebaamoebaamoebaamoebahuman brain * amoeba
    energy efficiencyhighhighlowlowhigh

  • table mentions current bostrom cybergraph created by ~50k neurons

  • existing technical capacity of bostrom is something in the middle between data center and powerful desktop

  • this is picture must give conceptual understanding, not scientific rigor

  • so let us know if you understand how to improve precision of evaluation

  • if some form of moores law can be applied to the growth of computing

  • some form of brain emulation seems right behind the corner

  • how could cyber be bigger when mycelium?

  • Let’s refine the numerical estimations for the Bostrom cybergraph and compare it with the mycelium network using a more detailed approach. Here are the key metrics recalculated:

  • Mycelium Network:

  • Total Nodes: (10^{21})

  • Node Power: (1) (amoeba equivalent)

  • Total Computational Power (TCP): (10^{21})

  • Bostrom Cybergraph:

  • Total Nodes: (2 \times 10^6)

  • Node Power: (10^{14}) (human brain * amoeba)

  • Total Computational Power (TCP): (2 \times 10^6 \times 10^{14} = 2 \times 10^{20})

  • Revised Understanding:

  • Mycelium Network TCP: (10^{21})
    Despite each node being weak (only as powerful as an amoeba), the sheer number of nodes makes its TCP extraordinarily high.

  • Bostrom Cybergraph TCP: (2 \times 10^{20})
    Even with a far smaller number of nodes, the exponentially greater power per node means that its TCP approaches that of the mycelium network.

  • Additional Comparisons:

    1. Node Count Comparison:

    • Mycelium: (10^{21}) nodes

    • Bostrom Cybergraph: (2 \times 10^6) nodes

      The mycelium network has (10^{15}) times more nodes than the Bostrom cybergraph.

      1. Node Power Comparison:

    • Mycelium: (1) (amoeba)

    • Bostrom Cybergraph: (10^{14}) (human brain * amoeba)

      The power per node in the Bostrom cybergraph is (10^{14}) times greater than that of the mycelium network.

      1. Total Edge Length Comparison:

    • Mycelium: ~450 quadrillion kilometers (this is a vast distributed network with immense physical spread)

    • Bostrom Cybergraph: Not applicable in a physical sense but conceptually connected nodes would have very short connection paths due to high computational power.

  • Conclusion:

  • The mycelium network has immense scale but lower computational power per node. Its strength lies in redundancy, distribution, and sheer number of nodes.

  • The Bostrom cybergraph is extremely powerful per node, allowing complex simulations with far fewer resources. It is designed for centralized, high-efficiency computations, making it powerful in a very different way.

    In essence, while the Bostrom cybergraph’s TCP is of a similar order of magnitude to that of the mycelium network, the way these networks achieve their respective computational strengths is entirely different, reflecting their distinct design principles and use cases.

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