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cs.AI2026

Platform Adaptation Under Governance Interventions: Actor Best-Response Modeling and an External Public-Case Benchmark

Wesley Shu, Peng Wei

Digital platforms govern by changing rules: rankings, monetization thresholds, moderation standards, verification systems, disclosure requirements, appeal processes, and access pol…

cs.AI2026

Second-Order Policy Effects as State Transitions: A Source-Linked Benchmark for Policy Simulation

Wesley Shu

Policy evaluation often estimates direct benefits and costs while treating the institutional environment as fixed. In practice, a policy changes the system it enters: actors adapt,…

cs.AI2026

Validation-Frontier Representation Selection under Constrained Observation

Wesley Shu

AI systems deployed outside clean benchmark settings often rely on observations that are incomplete, unstable, costly, or degraded by monitoring failures. This paper studies repres…

cs.AI2026

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance

Wesley Shu, Peng Wei

Artificial Jagged Intelligence (AJI) denotes a recurring pattern in which large learning systems exhibit strong local capabilities while remaining weak or brittle in other domains.…

cs.AI2026

AI Safety as Control of Irreversibility: A Systems Framework for Decision-Energy and Sovereignty Boundaries

Wesley Shu, Peng Wei

Recent AI systems compress the distance between capability growth and capability deployment. Earlier high-risk technologies were slowed by capital intensity, physical bottlenecks,…

cs.AI2026

A Public Theory of Distillation Resistance via Constraint-Coupled Reasoning Architectures

Peng Wei, Wesley Shu

Knowledge distillation, model extraction, and behavior transfer have become central concerns in frontier AI. The main risk is not merely copying, but the possibility that useful ca…