claim

active

claim:large-parts-of-the-human-brain-are-irrelevant-or-only-weakly-relevant-to-awareness-and-moral-status-suggesting-engineering-could-produce-more-efficient-minds-at-different-scales

Large parts of the human brain are irrelevant or only weakly relevant to awareness and moral status, suggesting engineering could produce more efficient minds at different scales

Supports the mind-scale dimension by noting human brain inefficiency relative to morally relevant properties

Source paper

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Sharing the World with Digital Minds

Carl Shulman · Nick Bostrom

Neighborhood — ranked by edge-count

Claims (1)

claim

The claim that human-sized minds are optimal for generating welfare per resource unit may seem a little suspicious absent further justification, since the scaling relationship is unlikely to have a peak at human mind size
supports
Supports the mind-scale dimension of super-beneficiary status

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

We hypothesize that general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, and that successful implementation can be established via analysis or testing.hypothesis0.788
The central hypothesis of the paper
Many recent discussions of AI, and its impact on individuals and on society, are importantly incomplete because they neglect Diverse Intelligence, synthetic morphology, and developmental biology.claim0.787
Central thesis of the paper — the framing premise from which all other arguments follow
Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.782
Core theoretical claim connecting consciousness to biological learning
Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.782
Central methodological claim of the paper.
If different organizations of nervous tissue can achieve the same functions, the possibility that cognitive capacities, including sentience, can be achieved by other tissues should be considered.claim0.781
Conditional claim urging consideration of non-neural tissues for cognition.
Consciousness is not the result of mental architecture and cognitive ability, but its prerequisite — a necessary precondition for complex learning and intelligent behavior.claim0.781
Genesis Hypothesis claim that consciousness forms before rather than from cognition
If sub-neural chemical dynamics are crucial for cognition, then neural models ignoring them will fail to capture key cognitive phenomena.hypothesis0.781
Sloman's implicit hypothesis behind his critique of synaptic weight-only models.
There is no privileged material substrate for Selves; cognition can arise in neurons, single cells, plants, tissues, swarms, and engineered systems.claim0.779
Second foundational pillar of TAME; supports basal cognition and rejects brain-centrism.