AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
The tiling agent's problem, also known as reflective consistency, examines how one agent can intentionally modify another while maintaining certain properties. This analysis is crucial for ensuring that self-modifications do not compromise safety-relevant features. The concept revolves around understanding when agents can trust each other, with self-trust being a pivotal factor in avoiding harmful self-modifications. The exploration of tiling results aims to establish clear conditions under which both AI and humans can preserve essential safety properties throughout self-modification processes.