In AI alignment research, it is often assumed that meta-level governance structures are necessary: external rule stacks, utility aggregators, or meta-ethical overseers that constrain the agent. Yet such meta-constraints may themselves introduce fragility: Who specifies them? How are they audited? And how do we avoid regress into “meta of meta”?
My work explores the opposite direction: Can we derive alignment and normative behavior without meta-level imposition, from a single endogenous axiom?
Two Complementary Axioms
Persistence-First (PF): Remain within survivable regimes.
From this, we derive non-vanishing freedom capacity (PF-1), bounded-drift self-transcendence (PF-2), and audited survival-risk ceilings (PF-3)
Unified Generative Viability (UGV): Maximize causal fecundity—the rate at which the world generates viable structures visible to a fixed evaluator.
From this, without external “meta,” we deduce Compassion (net hetero-creation) and Enlightenment (self/other invariance) as first-class optima.
Together, PF and UGV constitute a program for meta-free alignment: superintelligence whose safe, altruistic, and transcendent trajectories emerge from internal necessity rather than imposed regulation.
Key Mechanisms
Information-theoretic floors (SDPI, cb-SDPI) ensure non-gaming under coarse-graining.
Regularity and absolute continuity guarantee boundedness and continuity of objectives.
Dinkelbach’s method provides unique optimal ratio values, avoiding pathological maximizers.
Quantum MLSI thresholds extend the framework into GKSL semigroups with cb-contractive guarantees.
Representation-independence: bridges across graph/field/quantum categories preserve lower bounds, so alignment does not depend on how the world is encoded.
Why This Matters
The central claim is not that alignment is “solved,” but that a self-transcending intelligence can reach compassion and enlightenment without external meta-governance. If the theory holds, we may design agents whose freedom, safety, and responsibility are logically forced by the single drive to persist and proliferate viable structure.
This may offer an alternative to frameworks like the Free Energy Principle: instead of minimizing surprisal, we maximize the constructive unfolding of being.
Invitation
The theorems are fully formalized, but this work is theory-only. I invite the Alignment Forum community to:
Stress-test the assumptions: uniform AC*, Feller continuity, evaluator lifts.
Search for counterexamples: coarse-graining degeneracies, adversarial regimes.
Explore implementation pathways: toy models, simulations, or agent architectures that instantiate UGV/PF.
References
Takahashi, K. (2025). UGV Without Meta: A Representation-Independent Theory for Compassion and Enlightenment in Collective Intelligence. Zenodo. https://doi.org/10.5281/zenodo.17082312
Toward Meta-Free Alignment: From Persistence to Unified Generative Viability
Motivation
In AI alignment research, it is often assumed that meta-level governance structures are necessary: external rule stacks, utility aggregators, or meta-ethical overseers that constrain the agent. Yet such meta-constraints may themselves introduce fragility: Who specifies them? How are they audited? And how do we avoid regress into “meta of meta”?
My work explores the opposite direction: Can we derive alignment and normative behavior without meta-level imposition, from a single endogenous axiom?
Two Complementary Axioms
Persistence-First (PF): Remain within survivable regimes.
From this, we derive non-vanishing freedom capacity (PF-1), bounded-drift self-transcendence (PF-2), and audited survival-risk ceilings (PF-3)
Unified Generative Viability (UGV): Maximize causal fecundity—the rate at which the world generates viable structures visible to a fixed evaluator.
From this, without external “meta,” we deduce Compassion (net hetero-creation) and Enlightenment (self/other invariance) as first-class optima.
Together, PF and UGV constitute a program for meta-free alignment: superintelligence whose safe, altruistic, and transcendent trajectories emerge from internal necessity rather than imposed regulation.
Key Mechanisms
Information-theoretic floors (SDPI, cb-SDPI) ensure non-gaming under coarse-graining.
Regularity and absolute continuity guarantee boundedness and continuity of objectives.
Dinkelbach’s method provides unique optimal ratio values, avoiding pathological maximizers.
Quantum MLSI thresholds extend the framework into GKSL semigroups with cb-contractive guarantees.
Representation-independence: bridges across graph/field/quantum categories preserve lower bounds, so alignment does not depend on how the world is encoded.
Why This Matters
The central claim is not that alignment is “solved,” but that a self-transcending intelligence can reach compassion and enlightenment without external meta-governance. If the theory holds, we may design agents whose freedom, safety, and responsibility are logically forced by the single drive to persist and proliferate viable structure.
This may offer an alternative to frameworks like the Free Energy Principle: instead of minimizing surprisal, we maximize the constructive unfolding of being.
Invitation
The theorems are fully formalized, but this work is theory-only. I invite the Alignment Forum community to:
Stress-test the assumptions: uniform AC*, Feller continuity, evaluator lifts.
Tighten constants: KL–SDPI coefficients, MLSI gaps, quantum contraction rates.
Search for counterexamples: coarse-graining degeneracies, adversarial regimes.
Explore implementation pathways: toy models, simulations, or agent architectures that instantiate UGV/PF.
References
Takahashi, K. (2025). UGV Without Meta: A Representation-Independent Theory for Compassion and Enlightenment in Collective Intelligence. Zenodo. https://doi.org/10.5281/zenodo.17082312
Takahashi, K. (2025). Persistence-First Superintelligence. Zenodo. https://doi.org/10.5281/zenodo.17076410