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What would “mind uploading” actually require?
Mind uploading is a broad term for a hypothetical process that reproduces or transfers a person’s mental content—including memories and identity—onto another physical or computational substrate. The phrase can imply that the person survives the process, but that implication is not established just by making a copy.
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Whole-brain emulation (WBE) is a more specific technical idea: measure the relevant structure and state of a particular brain, then reproduce its causal information processing on another substrate. The aim is not merely to simulate a generic brain or produce a program that behaves plausibly. It is to emulate the functioning of one individual’s brain closely enough to reproduce that person’s mental capacities.
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Why isn’t a wiring diagram enough?
A connectome maps neural connections, but a map of wiring alone does not specify everything that may shape a brain’s activity. The state and function of a circuit can also depend on synaptic strengths, cellular dynamics, neuromodulators, interactions with glial cells, and plasticity—the changes that accompany learning and other activity.
Some of these features may be measurable or inferable from a brain’s structure; which ones must be captured, and at what resolution, is unknown. A static image can show connections and morphological clues, but the relationship between those clues and functional synaptic strength is incomplete. Neuromodulation can change how a circuit behaves without changing its wiring diagram, while plasticity means an emulation would need to respond appropriately as its connections or activity change.
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There is also an identification problem: different internal parameter sets may produce similar observed activity. If several models fit the available measurements, matching a limited set of observations may not reveal which model best represents the individual brain or predict its response in unfamiliar situations.
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Small-organism work shows meaningful progress in mapping and modelling, but it is not evidence that a human mind has been uploaded. A 2026 Mind Uploading educational guide reports the following figures and milestone, drawing on underlying studies it cites:
| Subject or result | Reported scale or scope | What it does—and does not—show |
|---|---|---|
| Adult fly brain | 139,255 neurons and approximately 55 million synapses | The guide cites Dorkenwald et al., Nature (2024), for these connectome figures. A map at this scale is not itself a complete functional mind-state specification. |
| Adult fly computational model | A connectome-based model | The guide summarizes Shiu et al., Nature (2024), as reproducing behaviorally relevant sensorimotor responses—not as uploading a conscious fly. |
| Human brain | Approximately 86 billion neurons and 150 trillion synapses | The guide attributes the neuron estimate to Herculano-Houzel (2009) and presents the synapse figure as approximate. These estimates do not mean that a complete human connectome has been measured. |
A 2024 review indexed in PubMed reported that human whole-brain simulation had not been achieved as of that year, citing limitations in computational performance and brain-measurement data. That is a dated account of the field, not a prediction that human simulation can never be achieved.
What could prevent human whole-brain emulation?
Measuring and reconstructing a human brain
Capturing enough information from a human brain and reconstructing it at useful fidelity are unresolved scaling challenges. The fly results do not establish that measurement or reconstruction can be extended to a human brain. In its 2024 assessment, the review identified both insufficient measurement data and computational limits as obstacles to human-scale simulation.
Recovering the right functional details
Even an extremely detailed structural map could omit information needed to reproduce how a particular brain works. The open question is not simply whether more detail can be collected, but which details are necessary for a faithful model, whether they can be measured or inferred, and how to distinguish competing models that fit the same observations.
Running and validating the emulation
A model would need to operate in an environment and respond appropriately beyond the observations used to build it. There is no agreed validation threshold for proving that an emulation matches a person in the relevant way. A model that reproduces selected behavior would be evidence of functional performance, not by itself proof that it captures every relevant feature of the person’s mind.
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Choosing a procedure would not settle identity
Gradual replacement of neural function and emulation from a preserved brain are conceptual proposals, not established procedures. They raise different questions about what information is measured and how the brain is altered, but neither approach has demonstrated a way to verify first-person continuity.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Would an uploaded copy still be you?
Even a future emulation that convincingly reproduced a person’s memories, speech, and behavior would leave a separate question: would the original person continue to experience the world through it? Behavioral resemblance can be assessed from the outside; subjective continuity concerns whether the person’s own experience persists. The sources do not establish a scientific test that answers that identity question, nor an agreed pass criterion for deciding whether an emulation is the same person.
This distinction matters for the word “upload.” A scan-and-copy process might create a system that acts and speaks like someone without showing that the original’s experience transferred. Gradual replacement raises a different intuition about continuity, but the available evidence does not settle whether that would preserve personal identity either. These are unresolved philosophical questions, not experimental findings that one procedure does—or does not—preserve the self.
Does any source say uploading is impossible?
The Carboncopies Foundation FAQ says, “Uploading a human mind into such a clone is not yet possible.” Its surrounding discussion is specifically about putting a mind into a genetic clone. It should not be read as proof that every conceivable form of whole-brain emulation is impossible.
The evidence supports a narrower conclusion: human whole-brain emulation remains unachieved, with major open problems in measurement, model fidelity, computation, and validation. It does not establish that these problems can never be solved. And solving them would still not, by itself, show that the original person survived as a matter of subjective experience.
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