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arXiv:2512.10100cs.AI

Robust AI Security and Alignment: A Sisyphean Endeavor?

Apostol Vassilev

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

This manuscript establishes information-theoretic limitations for robustness of AI security and alignment by extending Gödel's incompleteness theorem to AI. Knowing these limitations and preparing for the challenges they bring is critically important for the responsible adoption of the AI technology. Practical approaches to dealing with these challenges are provided as well. Broader implications for cognitive reasoning limitations of AI systems are also proven.

arXiv comments
17 pages, 1 figure. This version will appear in IEEE Security $ Privacy in June 2026
Journal reference
IEEE Security & Privacy, vol. 24, no. 3, pp. 52-58, May-June 2026
DOI
doi:10.1109/MSEC.2026.3678214
Subjects
cs.AIArtificial Intelligence

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Jun 2026 to Jun 2026. Found in 1 HN submission from Aug 2026 to Aug 2026. Open submission discussions.

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Discussed in comments1 thread

  1. The White House Wants Anthropic to Block All Jailbreaks. It May Not Be Possible 1 comment

    • It likely isn't: https://arxiv.org/abs/2512.10100 Feels like the days when SQL injection was seen all the time. We learned mixing instructions and data is a bad idea and a constant game of whack-a-mole. Now a new generation gets to learn this lesson.

      sybercecurityView on HNParent context

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