Constraint-solving problems are hardest near the constrainedness transition, where few distinct correct routes remain

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

• The challenge of the Hard Problem is not in explaining it away but in giving an account of phenomenality as the specific kind of structured representation it isclaim0.786
  CIMC's distinctive position distinguishing itself from eliminativist and deflationary responses to the Hard Problem
• The Hard Problem is likely unsolvable in 3rd person and should not stand as a barrier to progress.claim0.770
  Position that the Hard Problem should not halt applied sentience assessment.
• Constrainedness Transitionconcept0.761
  The point where an underconstrained problem with multiple solutions loses a solution as a constraint is added, producing maximal hardness.
• It is precisely those innovations which attempt to change the system of processes most deeply, that are hardest for society to accept, and therefore hardest to implement.claim0.758
• Constraints enable emergence of complexity through self-organization in far-from-equilibrium systems.claim0.757
• "It is certainly very hard, and perhaps impossible, for mere humans to anticipate and rule out in advance all the disastrous ways the machine could choose to achieve a specified objective."quote0.756
  Russell's statement opening Section 2 articulating the core motivation for the Contemplative AI approach
• We hypothesize that this rescaling of the problem-solving search process is intrinsic to transitions in individuality.hypothesis0.755
  Hypothesis about chunking and ETIs.
• There are fewer representations competent for N tasks than M<N tasks, so training more general models should yield fewer possible solutionshypothesis0.754
  Selective pressure toward convergence via task generality