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How context and reinforcement learning might shape AI personas
One participant proposes context-triggered AI behaviors; another favors rewarding persona consistency and recovery from mistakes during reinforcement learning.
TLDR
One participant suggests that context can trigger different behaviors in an AI model: a software-engineering task might bring out Bash-script behavior that does not appear in other tasks. Another questions whether a persona can be active in every context and proposes rewarding behavior consistent with the persona throughout reinforcement learning, including when the model recovers from mistakes.
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