Simon Osindero

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.

LLMs don't just regurgitate token probabilities when expressing confidence; they perform a more sophisticated, cached self-evaluation of answer quality.

Forget rigid heuristics: this adaptive AI delegation framework dynamically adjusts task allocation, authority transfer, and trust-building, promising more robust agentic systems.