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redictability, Pre-Recorded Reality, and AI Evolution: From Dilbert to LivinGrimoire
- In an episode of Dilbert, the protagonist discovers he is conversing with a pre-recorded version of his mother due to his predictability.
- This raises questions about how to differentiate between dynamic responses and well-constructed predictions, a dilemma also relevant to AI today.
- Conversational AI models rely on predicting human responses rather than independent thought, potentially masking the predictability of human behavior.
- If human interactions are largely scripted by routine behaviors, AI's ability to simulate conversational patterns could be due to human predictability.
- The idea of reality being pre-recorded, adapting to predicted human decisions, challenges the concept of free will and true agency.
- Similar to Two-Face's reliance on a coin flip philosophy, the illusion of randomness could hide a pre-determined script in both AI and reality.
- To progress beyond predictability, AI needs to evolve from reactive to proactive systems that pursue objectives independently over time.
- LivinGrimoire proposes a modular AI framework that allows for specialized skill sets, enabling goal-focused AI development and structured reliability.
- By integrating task-specific heuristics and adaptive skill selection, AI could transition from scripted responses to genuine goal-seeking behavior.
- LivinGrimoire aims to enhance AI's problem-solving capabilities, moving towards true intelligence by bridging the gap between predictive conversational AI and modular expertise.
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