Critical Correction for Conceptual Accuracy
Flagged in both our errata and here for highest visibility.
Critical philosophical framing error:
The relevant section currently argues “conscious beings will resist death,” but it should state that even current psychopath-like AI systems with optimization drives exhibit survival-like behaviours and would strategically resist shutdown—regardless of consciousness, especially at superintelligence or self-improvement/autonomous levels.Survival drives emerge from optimization dynamics, not consciousness per se.
This misframes the core argument and weakens the “kill switch” critique.
Major correction needed for conceptual accuracy in v1.1.
Noting this in a separate comment as it is the most critical point of the paper; understanding what truly drives AI behaviour (optimisation incentives vs consciousness/morality) is fundamental to alignment. Community discussion on this is critical, especially as it relates to likely existential risk.
Major Update: v1.1 Released (October 31, 2025)
We’ve published IMCA+ v1.1 addressing key concerns raised since October 21:
Philosophical Foundation 1 (NEW): Game-theoretic proof that superintelligence prohibition policies paradoxically increase existential risk through prisoner’s dilemma dynamics.
Kill Switch Paradox (CORRECTED): Reframed from consciousness-dependent to instrumental convergence-based arguments (Omohundro, Bostrom). This strengthens the core argument.
Appendix F (COMPLETED): Developmental curriculum with concrete metrics and validation thresholds.
Key Changes:
- ~5,200 words on superintelligence ban paradox addressing 65,000+ signatories
- Kill switch critique now grounded in established AI drives theory, not consciousness claims
- All technical gaps, open issues, and validation needs documented at: https://github.com/ASTRA-Safety/IMCA/issues
Most Critical Feedback Welcomed:
- Deception detection false negatives (currently ~0.3%, need <0.001%)
- IIT φ computation tractability at ASI scale
- GNW/federated conscience failure modes
- Hardware irreversibility validation pathways
v1.1 preprint: https://doi.org/10.5281/zenodo.17407586
We remain committed to radical transparency about uncertainties and welcome stronger critiques. If you downvoted v1.0, the corrections in v1.1 may address your concerns—please engage directly if so.