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improved brain emulation analysis
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mastercyb committed Aug 28, 2024
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- [:div.color-level {:style {:padding-left 5}} [:h2 "brain state 📊"][:ul [:li "pages: 1,467"]][:h3 "Text"][:ul [:li "Blocks: 5,892"][:li "Words: 39,701"][:li "Characters: 210,382"][:li "Emoji: 38"]][:h3 "Code"][:ul [:li "Codeblocks: 17"]][:h3 "References"][:ul [:li "Interconnections (refs): 1,409"][:li "Block References: 2"][:li "Orphans: 61"][:li "External links: 338"]][:h3 "Task management"][:ul [:li "Tasks: 145"][:li "Finished tasks (DONE): 0"]][:h3 "Queries"][:ul [:li "Number of simple queries: 9"][:li "Number of advanced queries: 0"]][:h3 "Media"][:ul [:li "Videos: 0"][:li "Assets: 2"]]]
9 changes: 9 additions & 0 deletions pages/brain emulation.md
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Expand Up @@ -9,6 +9,15 @@ alias:: whole brain emulation, simulated brains, far from it
| total length of edges | 450 quadrillion km | 1,500 kilometers | 100,000 kilometers | not applicable |
| power of node | amoeba | amoeba | amoeba | human brain * amoeba |
| energy efficiency | high | high | low | medium |
- | characteristic | mycelium network | human brain | data center | powerful desktop | bostrom 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 km | 100,000 km | not applicable | not applicable |
| power of node | amoeba | amoeba | amoeba | amoeba | **human brain * amoeba** |
| energy efficiency | high | high | low | low | **high** |
- 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
-
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