claim

active

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

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 the mind-scale dimension of super-beneficiary status

Source paper

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Sharing the World with Digital Minds

Carl Shulman · Nick Bostrom

Neighborhood — ranked by edge-count

Claims (2)

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Multiple distinct quantitative and qualitative dimensions make it robust that digital minds will be super-beneficiaries at technological maturity
supports
The paper's central empirical-philosophical thesis synthesizing nine paths
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
Supports the mind-scale dimension by noting human brain inefficiency relative to morally relevant properties

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.

If welfare grows more slowly than cost with mind scale, greatest total welfare would be obtained by building vast numbers of tiny minds, implying insect populations may already overwhelm humans in aggregate welfarehypothesis0.843
One of two scaling hypotheses examined for the mind-scale dimension
Population size is only one of several quantitative dimensions along which digital minds may vastly excel humans in welfare per resource unitclaim0.813
Extends Parfit's argument beyond population size to multiple dimensions
The exponential or super-exponential reproductive potential of digital minds could allow them to vastly outnumber humans in a relatively short time, correspondingly increasing the collective strength of their moral claimsclaim0.793
Establishes the reproductive capacity dimension of super-beneficiary status
If rapidly reproducing digital minds have at least as strong a claim to universal basic income as biological humans, fiscal capacity would be quickly exhaustedclaim0.780
Concrete illustration of how standard welfare policies fail in the presence of super-beneficiaries
Scaling intelligence via expansion of cognitive boundaries through inclusion of others' stress-reduction in one's own homeostatic loops.claim0.776
Central thesis: expanding an agent's sensors and goals outward to include others' states creates bidirectional feedback loop that scales intelligence and increases compassion.
Human cognition evolved to detect agency in medium-sized objects at medium speeds in 3D space, limiting recognition of intelligence in unfamiliar substrates.claim0.773
If an AI system could be a welfare subject and moral patient, then many model instances could be run after training, scaling up the problem rapidly.hypothesis0.773
Scalability concern.
Constraints and biases of human intelligence are best avoided by ‘designing for emergence’ rather than implementing a pre-existing theory of intelligence.claim0.772
Recommendation for creating non-anthropocentric machine intelligence.