The Future of Brain Emulation

I think it's an interesting issue on seeing what we can learn from both the kinds of predictions that were in the report and how we have overcome. Can we say something about how likely they are to be filled if we could throw in arbitrary amount of money at the problem? It might be, for example, that if it's just a matter of ideas and insights, then an arbitrary amount ofMoney might not solve it at all. If there are some unclear things you could do theory, multiply the approaches and actually run each approach. At that point, success becomes much more likely. And I think this is worth investigating if we want to think about this as an AI safe to the approach.

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