I can imagine an ancestor resurrection process that has some rough archetypes of “what a baseline human of a given era is like”, and using lifelog details to fill in the gaps.
One underappreciated part of “natural abstractions” and blessings of scale, as well as the general success of unsupervised learning and the continued intrusion of deep learning into neuroscience to revolutionize neuroimaging interpretation/control, is that it lends strong support to beta uploads: it seems like a large part of the brain really is just a huge pile of unsupervised learning of the world & body, which is both common to any functioning human and unrelated to what we see as personal identity. The distinguishing bits are much more on the surface-level in terms of preferences, personality, and autobiography. So human identities are much simpler and low-information than they look, making recovery of the differences between people much much easier.
One underappreciated part of “natural abstractions” and blessings of scale, as well as the general success of unsupervised learning and the continued intrusion of deep learning into neuroscience to revolutionize neuroimaging interpretation/control, is that it lends strong support to beta uploads: it seems like a large part of the brain really is just a huge pile of unsupervised learning of the world & body, which is both common to any functioning human and unrelated to what we see as personal identity. The distinguishing bits are much more on the surface-level in terms of preferences, personality, and autobiography. So human identities are much simpler and low-information than they look, making recovery of the differences between people much much easier.