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Really good conversation here, Bostrom and Greene. I noticed that there was a component about uploading brains into a silicon substrating, this is not physically possible. Mapping a human connectome would require 1 zetaflop of processing speed. In the future these power requirements might come down, but you won't get more efficient than the actual representation. You mentioned a lack of constraints and there are 2 I'm going to point out here. What is the point of representing someone's brain in hardware when the physical system is going to be up to a data centre at current capabilities for a single individual? The second, and this is really important, we aren't getting past natural constraints, ever. We currently have a 400-500 year supply of helium. That is required for sub 7nm scale architecture that runs AI today. There are very real, real world constraints on these systems.
youtube AI Moral Status 2026-04-18T01:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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