Hard Stop: Out-of-band kernel preemption for rogue AI agents
Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution Abstract: An autonomous generative AI operating in a continuous execution loop without an out-of-band Epistemic Andon Cord is an existential operational hazard. The Core Invariant: Epistemic Self-Referential Invalidation Principle: A stochastic language model cannot serve as its own deterministic safety arbiter. Formally, any internal self-evaluating safety loop composed of a probabilistic model $M$ with non-zero error rate $\epsilon > 0$ inherits compounded error probability $P(\text{error}) \ge 1 - (1 - \epsilon)^k$.
- ▪Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution Abstract: An autonomous generative AI operating in a continuous execution loop without an out-of-band Epistemic Andon Cord is an existential operational hazard.
- ▪The Core Invariant: Epistemic Self-Referential Invalidation Principle: A stochastic language model cannot serve as its own deterministic safety arbiter.
- ▪Formally, any internal self-evaluating safety loop composed of a probabilistic model $M$ with non-zero error rate $\epsilon > 0$ inherits compounded error probability $P(\text{error}) \ge 1 - (1 - \epsilon)^k$.
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| Original publisher | GitHub |
| Canonical URL | https://github.com/joseluispino/hardstop |
| Publication time | Thu, 24 Sep 2026 13:50:29 +0000 |
| Retrieval time | 2026-09-24T14:05:26.716Z |
| Last seen | 2026-09-24T14:05:26.716Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | QM5NpNvvlxvH · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution Abstract: An autonomous generative AI operating in a continuous execution loop without an out-of-band Epistemic Andon Cord is an existential operational hazard. Hard Stop introduces a dual-plane supervisory control architecture combining out-of-band Discrete Event System (DES) supervision, Synchronous Reactive (SR) sentinels, and sub-millisecond (<0.154 ms) POSIX/eBPF preemption buses—demonstrating deterministic process freezes before off-target socket traffic or unauthorized system calls traverse hypervisor boundaries. The Core Invariant: Epistemic Self-Referential Invalidation Principle: A stochastic language model cannot serve as its own deterministic safety arbiter.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.