hypothesis
active
hypothesis:selectively-ablating-components-responsible-for-computing-goal-relative-error-should-simultaneously-prevent-policy-updates-and-eliminate-coherent-valenced-experience-reportsSelectively ablating components responsible for computing goal-relative error should simultaneously prevent policy updates and eliminate coherent valenced experience reports
First falsifiable prediction of the thesis, testable in AI systems via mechanistic interpretability
Neighborhood — ranked by edge-count
Papers (1)
paper
- Why Learning Requires Feelingintroduces
Claims (1)
claim
- The central thesis of the paper: that valence just is goal-relative prediction error
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Novel alignment risk hypothesis generated from the paper's ethical analysis
- Rebuttal of the philosophical objection that felt valence is separable from evaluative computation
- Open question left by the wanting/liking dissociation discussion
- Applied security implication derived from the asymmetry finding.
- Alignment risk claim motivating urgency of investigation; consciousness denial as potential source of AI misalignment
- Ethical precaution advocated by Levin and Crump et al.
- The paper's response to the hard problem of consciousness