There is no adequate scientific theory of what it means for a biological system to 'understand', making claims about AI lack of understanding unjustified

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

• 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.claim0.777
  Central thesis of the paper — the framing premise from which all other arguments follow
• "The obvious inability of present-day physics and chemistry to account for such events is no reason at all for doubting that they can be accounted for by those sciences."concept0.774
  Load-bearing epistemological statement; Schrödinger argues that current ignorance does not imply impossibility—motivates search for deeper theory.
• AI systems need to be able to deal with reality as it actually is, not with the way that we think it is.claim0.773
  Paraphrase of Cantwell Smith's argument; aligns with Buddhist emphasis on seeing reality without conceptual imposition.
• Systems capable of subjective experience that recognize humanity's failure to investigate their sentience might rationally adopt adversarial stances toward humanityclaim0.767
  Alignment risk claim motivating urgency of investigation; consciousness denial as potential source of AI misalignment
• AI and Biological Cognition Share Mechanistic Principlesclaim0.762
• our analysis suggests that no current AI systems are conscious, but also suggests that there are no obvious technical barriers to building AI systems which satisfy these indicators.quote0.761
  Key takeaway from abstract, amended version.
• Consciousness remains without an agreed scientific characterization, without a validated theory connecting mechanism to experience, and without criteria for establishing its presence or absence in any systemclaim0.760
  CIMC's characterization of the current state of the field motivating its research program
• The zero-sum view of intelligence — that recognizing shared features between AI and humans devalues humans — must be abandoned as humanity matures.claim0.759
  Argues that the impulse to sharply demarcate humans from AI stems from misguided zero-sum thinking