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 welfare

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

• 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 sizeclaim0.843
  Supports the mind-scale dimension of super-beneficiary status
• 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 claimsclaim0.791
  Establishes the reproductive capacity dimension of super-beneficiary status
• Scaling intelligence via expansion of cognitive boundaries through inclusion of others' stress-reduction in one's own homeostatic loops.claim0.784
  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 psychology has evolved to generate pleasure and pain where this motivated reproductive fitness, not to maximize well-being, entailing hard-to-avoid suffering and sparingly doled pleasuresclaim0.779
  Grounds the claim that digital minds can be engineered to have much better hedonic balance than humans
• A realization of our own multiscale, nested architecture naturally leads to the conclusion that care needs to be extended to all sentient beings.claim0.773
  Extends ethical concern based on the collective nature of selves.
• A larger mind that is more conscious in the relevant sense could contain a greater amount of maximally-intense hedonic experience than a smaller mindhypothesis0.771
  Addresses the possibility of an in-principle maximum of hedonic intensity for mind scale
• 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.hypothesis0.771
  Scalability concern.
• Population size is only one of several quantitative dimensions along which digital minds may vastly excel humans in welfare per resource unitclaim0.767
  Extends Parfit's argument beyond population size to multiple dimensions