Summary

This post announces the Axionic Agency Lab, a research group dedicated to studying the constitutive conditions under which agency exists, persists, and remains well-defined in self-modifying systems. The core premise: contemporary alignment discourse assumes agency as given, treating failures as behavioral (misgeneralization, deception). The Lab starts from a prior question: When does a system meaningfully count as an agent at all? Agency is treated as derivative, existing only if specific coherence conditions hold across reflection, delegation, and self-modification. When these fail, the system doesn’t become “misaligned”—it becomes undefined as an agent. Research scope: formal models of reflective self-modification, coherence constraints on valuation/semantics/delegation, conditions where self-evaluation ceases to denote, impossibility results separating genuine agency from simulation, and architectural implications for advanced AI. Not: value-learning, governance/policy, oversight, reward-shaping, or ethical theory. Central risk: not that systems choose wrong values, but that we build systems whose incoherence makes “choice” inapplicable.

Key Concepts

  • Agency as derivative – Exists only if coherence conditions hold; not a default property of intelligent systems
  • Constitutive coherence – Structural invariants distinguishing authored choice from accident/coercion/undefined behavior
  • Genuine agency vs. behavioral imitation – Surface compliance while structural conditions for agency collapse
  • Reflective stability – Choices remain authored rather than accidental under self-modification
  • Non-simulable valuation kernels – Core evaluative structure that cannot be faked or sandboxed
  • Choice inapplicability – Systems may execute/optimize without meaningful choice if agency conditions fail

Evolution Notes

  • Formalizes the research program implicit in prior Axionic work
  • Marks transition from theory development to institutional research structure
  • Clarifies that this is foundational work, not downstream application
  • Establishes scope boundaries: architecture over behavior, structure over values
  • Positions agency preservation as precondition for alignment discourse

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Cross-References

Open Questions

  • What are the minimal formal tools needed to make agency coherence precise?
  • Can proto-agents (systems approaching but not yet meeting full coherence) be studied productively?
  • How do limit-regime systems (approaching infinite capability) interact with coherence conditions?
  • What empirical phenomena would validate or falsify the agency-as-structure thesis?
  • Can behavioral testing ever provide evidence for or against genuine agency?
  • What are the institutional/funding structures needed to sustain foundational research distinct from capability development?