mlsanityData to 7 Oct 2026

Deconstructing Superintelligence: Identity, Self-Modification and Diff'erance

arXiv 2604.19845 ↗First posted 21 Apr 2026cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

Self-modification is routinely treated as constitutive of artificial superintelligence (SI), yet modification is a relative action requiring a supplement outside the operation. We formalise this on an associative operator algebra A with update operator hat U, difference operator hat D, and self-representation operator hat R, identifying the supplement with operatornameComm(hat U). A propagation theorem shows [hat U,hat R] decomposes through [hat U,hat D], so non-commutation propagates to self-representation. The liar paradox is the rank-one case [hat T,PiL]=0, and emphclass A systems, in which hat U acts on hat D, reproduce it at system scale, yielding a structure coinciding with Priest's inclosure schema and Derrida's diff'erance. Our results show that the strong self-modification taken to define superintelligence may undermine the persistent identity upon which such systems are premised.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 18 of its 86 references that are in the map. First posted on arXiv 21 Apr 2026.

Builds on

18 of 86 references.

References · 18

  1. 2023Reflexion: Language Agents with Verbal Reinforcement Learningcited by 4,064
  2. 2023Self-Refine: Iterative Refinement with Self-Feedbackcited by 3,317
  3. 2023Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolutioncited by 521
  4. 2024Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Trainingcited by 478
  5. 2023Editing Large Language Models: Problems, Methods, and Opportunitiescited by 367
  6. 2024Alignment faking in large language modelscited by 316
  7. 2025Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agentscited by 294
  8. 2019Risks from Learned Optimization in Advanced Machine Learning Systemscited by 250
  9. 2023Evaluating the Ripple Effects of Knowledge Editing in Language Modelscited by 238
  10. 2019Reward Tampering Problems and Solutions in Reinforcement Learning: A Causal Influence Diagram Perspectivecited by 107
  11. 2022Is Power-Seeking AI an Existential Risk?cited by 101
  12. 2023Consciousness in Artificial Intelligence: Insights from the Science of Consciousnesscited by 99
6 more
  1. 2023Scheming AIs: Will AIs fake alignment during training in order to get power?cited by 90
  2. 2024Taking AI Welfare Seriouslycited by 28
  3. 2016Self-Modification of Policy and Utility Function in Rational Agentscited by 11
  4. 2023Computational Dualism and Objective Superintelligencecited by 8
  5. 2025Quantum AIXI: Universal Intelligence via Quantum Informationcited by 2
  6. 2025Quantum AGI: Ontological Foundationscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.