I'm done with classical mind uploading. No novel thought comes out of this space because the problem space is closed, and the abstraction fallacy (which keeps being the trapdoor I come back to) creeps into basically every assumption, from the founding commitments down to the engineering targets. Closed = the founding commitments fix the answers in advance.
Functionalism for phenomenal consciousness, substrate independence as a working assumption, personal identity reduced to pattern, "the brain" treated as a generic computational object whose individual instantiation doesn't really matter (which is wild, if you sit with it). Accept these and the open questions all reduce to engineering (scan resolution, compute budget, biophysical fidelity, etc.) => the philosophy becomes decorative. Four pressure points where the closure shows up, and the abstraction fallacy is the trapdoor at every one.
(1) Functionalism for phenomenal consciousness. Push on it (Block's access/phenomenal distinction, Lyre's W/N/Q decomposition, the abstraction fallacy itself), and you get nothing productive back. The space restates the assumption, or it treats the question as irrelevant to the engineering programme (existential gambling basically, a religion with extra steps and if you extrapolate maybe even the great filter itself).
(2) Continuity. Numerical identity, qualitative identity, the survival of this particular human, all collapsed into pattern preservation. The branching/fission/gradual-replacement cases that should be load-bearing get waved through.
(3) The slide from "we're doing this so individual humans can survive" to "we're emulating brains in general." Two very different projects (and nobody seems to notice the slide happening). Population-scale emulation has almost nothing to do with the survival of the person currently sat in the chair. The field rarely owns this.
(4) The ritual pivot to AI alignment in WBE pitches. The conceptual route from "we can scan and simulate a connectome" to "we have solved value alignment for AGI" is, charitably, thin. Hard to read it as anything other than fundraising pressure colonising the science.
I use "classical" the way one says "classical mechanics." A periodisation, not a verdict on the people in it. The space is a mature paradigm with fixed commitments and fixed open problems, and like any mature paradigm, it produces refinement and not much else. And, with some hesitation, the sociological bit. The space is largely populated by curious, well-meaning people arriving from software engineering and tech-founder backgrounds, with relatively few who came through neuroscience, neurophysiology, philosophy of mind, or any tradition that treats the hard problems as binding constraints (rather than rhetorical hurdles to clear on the way to the engineering). Imagine pure mathematics, only you've replaced the mathematicians with software engineers and PMs. You'd get enthusiasm, decent tooling, and an entire literature that misses the point of why the field exists.
The novel work starts as soon as you step outside. Approaches that treat the brain as a continuous physical process (the pattern view does a lot of damage), that take conscious continuity to supervene on intrinsic causal dynamics, that work through hybrid states of biological/synthetic substrates across the transition. Hybrid matters for an empirical reason: the biological brain is the only example of a conscious substrate we have, so any serious programme for individual survival has to keep one foot in it while building the other.