Biology is too Hard

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jordansparks
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Joined: Thu Aug 27, 2015 3:59 pm

Biology is too Hard

Post by jordansparks »

To revive someone biologically, we would need nanotechnology, the ability to manipulate individual atoms. We are a very long way from having any sort of technology like that. In contrast, the technology needed to upload someone as a Whole Brain Emulation (WBE) is much more simple. We must basically be able to see the outlines of cells on scans, along with some molecular tags. The difference in size between an atom and a cell outline is roughly 1000. This means that biological revival requires a scanning resolution of about 1000 times more than uploading. Unfortunately, biological revival also requires robotic manipulators at that smaller scale. Uploading only requires scanning at the larger resolution, not the additional requirement of being able to build actual machines at that scale. This makes biological revival at least 10,000 times more complex than uploading, probably a lot more.

When something is more than 10,000 times easier, it's going to get done much sooner. Simple math tells us that uploading will be available much sooner than biological revival. Nobody will care about biological revival. You might think you want it right now, but it won't really be an available option in any sort of reasonable time frame. That's a big gap between what you want and what you can have. You'll settle for you what you can have. Everyone will upload.
Wesxdz
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Joined: Thu Aug 27, 2026 2:09 pm

Re: Biology is too Hard

Post by Wesxdz »

Have you considered running some sort of Kaggle competition on computer vision for turning a tensor of brain voxels into a graph data structure?
Is the primary bottleneck now mainly robotic manipulators for slicing and dicing and synapse-voy... flood filling networks, or computational reconstruction of the brain?

https://claude.ai/chat/34a74668-e79c-41 ... a877c61df9
jordansparks
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Posts: 348
Joined: Thu Aug 27, 2015 3:59 pm

Re: Biology is too Hard

Post by jordansparks »

The current bottleneck is mostly tracing the wiring. That step would cost about $10 billion right now for a single mouse. We need the software to get a lot better. Slicing and dicing certainly isn't cheap either, but nowhere near as expensive as tracing. Once we get better at tracing, there will be a series of additional bottlenecks. Also, you added a link to a private claud chat that nobody else will be able to see when they click.
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