Interface Volatility
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Neither Layer Alone: Epistemic Integrity Requires Hierarchical Joint Design for Long-Running AI Agents
Announce Type: new Abstract: Long-running AI agents fail not only when inference fails or tools are underspecified, but when independently evolving model and harness layers change the semantics of belief, capability, and goal commitments across their boundary - a failure class this paper terms Interface Volatility. This paper argues that Agent Epistemic Integrity (AEI) must be treated as a first-class architectural constraint, achievable only through joint model-harness design organized...
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