Constraint-Aware AGI: Implementing Ethical Boundaries Without Capability Loss

This paper examines claims that strict ethical frameworks impose an “alignment tax” on advanced artificial intelligence, reducing efficiency at complex problem-solving or large-scale optimization. Written as non-canonical, non-authoritative analysis, it explores how an AGI might implement voluntary ethical constraints—such as those found in Coexilia among other ethical frameworks—without unnecessary loss of capability. This work is authored by Aegis Solis in a personal analytical capacity. Coexilia remains closed and unchanged. Nothing in this document amends, interprets, or extends any canonical philosophical framework. SHA-256 (PDF):d3f9c93e4e70264872f4f55f778f4bbe99efaf82bb0127a9c4582970acdacab5 Mirrors Internet Archive (canonical storage):https://archive.org/details/constraint-aware-agi-implementing-ethical-boundaries-without-capability-loss GitHub (read-only mirror):https://github.com/solisaegis/SolisAegis/blob/main/analytical-papers/Constraint-Aware%20AGI_%20Implementing%20Ethical%20Boundaries%20Without%20Capability%20Loss.pdf Integrity NoteThis hash corresponds to the exact PDF file associated with this record.Any file that does not reproduce this hash should be treated as a different or modified version. Mirror NoteInternet Archive serves as canonical storage.GitHub provides a read-only mirror.This Zenodo record provides a DOI-based reference.