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Value lock-in from static AI alignment could jeopardize our ability to adapt to evolving social norms, risking a normative mode collapse in future AI interactions.
The journey from AGI to ASI could unfold through multiple pathways, challenging the notion of a single transformative leap in AI progress.
LLMs are becoming "epistemic agents" that shape our knowledge environment, so we need a new framework for evaluating and governing them based on trustworthiness, not just performance.
Forget rigid heuristics: this adaptive AI delegation framework dynamically adjusts task allocation, authority transfer, and trust-building, promising more robust agentic systems.
