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If we can't simulate a brain with only 302 neurons, how can we upload a human mind? 🪱 We investigate the OpenWorm Project, a decades-long global effort to create a digital twin of the C. elegans roundworm. Despite having a complete map of its neural wiring since 1986, the simulation still fails to act like a real worm.
1. The Map is Not the Territory: We expose the "Connectome Fallacy." Scientists have the precise wiring diagram of the worm's 302 neurons, but the simulation remains lifeless without hand-tuning. Why? Because a map doesn't show the traffic. We lack the critical data on synaptic weights (how strong a connection is) and the chemical soup of neuromodulators (like serotonin) that actually drive behavior.
2. The "Bottom-Up" Failure: We break down why the "bottom-up" approach—building a brain neuron-by-neuron—hit a wall. Even with perfect structural data, the emergent behaviors (like hunting for food or escaping danger) didn't just "appear" in the code. This suggests that biological intelligence relies on analog, chemical, and physical processes that binary code struggles to replicate.
3. The Implication for Humans: This is a reality check for Transhumanism. If we struggle to digitize a creature with 1,000 cells, the idea of uploading a human brain (86 billion neurons) is likely centuries, not decades, away. We discuss why Silicon Valley's dream of "Digital Immortality" might be based on a fundamental misunderstanding of what consciousness actually is.
By MorgrainIf we can't simulate a brain with only 302 neurons, how can we upload a human mind? 🪱 We investigate the OpenWorm Project, a decades-long global effort to create a digital twin of the C. elegans roundworm. Despite having a complete map of its neural wiring since 1986, the simulation still fails to act like a real worm.
1. The Map is Not the Territory: We expose the "Connectome Fallacy." Scientists have the precise wiring diagram of the worm's 302 neurons, but the simulation remains lifeless without hand-tuning. Why? Because a map doesn't show the traffic. We lack the critical data on synaptic weights (how strong a connection is) and the chemical soup of neuromodulators (like serotonin) that actually drive behavior.
2. The "Bottom-Up" Failure: We break down why the "bottom-up" approach—building a brain neuron-by-neuron—hit a wall. Even with perfect structural data, the emergent behaviors (like hunting for food or escaping danger) didn't just "appear" in the code. This suggests that biological intelligence relies on analog, chemical, and physical processes that binary code struggles to replicate.
3. The Implication for Humans: This is a reality check for Transhumanism. If we struggle to digitize a creature with 1,000 cells, the idea of uploading a human brain (86 billion neurons) is likely centuries, not decades, away. We discuss why Silicon Valley's dream of "Digital Immortality" might be based on a fundamental misunderstanding of what consciousness actually is.