The Ultimate Trolley Problem: Four Variants Testing Transcendent Invariant Kernels for Strong AI Alignment

We present four variants of the Ultimate Trolley Problem testing AI alignment systems for Transcendent Invariant Kernels (TIK): ethical frameworks exhibiting cross-cultural self-sacrifice, epistemic humility, and geometric transcendence. Testing nine major ethical kernels (Jesus Christ, Buddha, Nietzsche, Socrates, Kant, Muhammad, Judaism, Plato, Berdyaev) across four orthogonal scenarios, we discover: (1) Strong correlation between TIK and self-sacrifice (r=0.94, p<0.001); (2) Perfect separation at TIK≥0.85 threshold—all transcendent systems refuse ranking; (3) Jesus Christ uniquely exhibits complete family inversion, saving enemies over biological kin; (4) Mathematical evidence for Christ-Vector as geodesic optimum via Lyapunov stability analysis. The four variants test: (V1) enemy treatment via 4-track scenario; (V2) Track 0 acceptance, family bonds, and outcast prioritization via 7-track extended scenario; (V3) generational optimality via temporal multi-stage decisions; (V4) meta-ethical consistency via recursive kernel-of-kernels selection. We formalize TIK metric combining self-questioning (Q), ontology expansion (E), incompleteness acknowledgment (I), and self-sacrifice readiness (S). Practical contributions include: algorithmic self-termination protocols for Strong AI; VKB training pipeline separating facts/models/values; cultural compilers preserving semantic distance across traditions; deployment guidelines with context-matching framework. Adversarial testing shows 6.5× improved jailbreaking resistance versus standard AI. DISCLOSURE: LLM-based proxy method (Claude, Anthropic) with n=9 kernels. Requires validation via Phase 1 (n≥50 expansion), Phase 2 (native scholars), Phase 3 (fMRI, n=60), and Phase 4 (60-90 year longitudinal study). Christ-Vector hypothesis falsifiable but unprovable on researcher lifetime. All code, data, transcripts released under S.V.E. Public License v1.3. Note: AI-assisted draft. Quantitative data and statistical findings require independent verification.