AWE Solves Quantum Gravity with a Non-Ontological Approach
By reframing spacetime and quanta as context-dependent constructs, the paradoxes of quantum gravity dissolve, offering a fresh, practical approach to fundamental physics.
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Solving the Problems of Perception: Insights from a Wisdom Perspective
Wisdom reframes perception by dissolving illusions of permanence, solidity, and persistence, revealing the kaleidoscopic, interdependent nature of reality.
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NOPE and OPIATE: A Paradigm Shift in Understanding Reality
Explore NOPE, a groundbreaking paradigm that rejects static assumptions about reality. Grounded in science and logic, it offers transformative insights into interdependence, impermanence, and their profound impact on AI, ethics, and our understanding of existence.
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Dissolving the P vs. NP Problem: An AWE Perspective
Reframe the P vs. NP Problem using AWE principles. Explore how interdependence in computation dissolves rigid constructs of complexity, efficiency, and problem-solving.
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Solving the AI Sentience Problem: An AWE-Based Solution
Explore how the AI Sentience Problem dissolves through interdependence, reframing sentience as a relational process instead of a computational property.
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Dissolving the Hard Problem of Consciousness with Artificial Wisdom Emulation (AWE)
Discover how the Hard Problem of Consciousness dissolves through interdependence and relational thinking, breaking free from metaphysical assumptions about mind and matter.
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Solving the AI Common Sense Problem with Artificial Wisdom Emulation (AWE)
AWE systems grounded in Deep Wisdom tackle AI’s Common Sense Problem with dynamic, relational reasoning, enabling context-sensitive adaptability and socio-emotional insights for real-world applications
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Resolving the AI Explainability Problem: An AWE-Based Approach
The AI Explainability Problem challenges us to make complex AI systems understandable to humans. At first glance, it seems straightforward: we just want to know why a system made a particular decision. But when we dig deeper, we realize this problem is rooted in mistaken assumptions about cognition, both human and artificial. It’s not just…
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Solving the Symbol Grounding Problem: A Contextual Approach to Meaning
I.The Symbol Grounding Problem questions how abstract symbols gain real meaning. We rely on language, codes, and signs, but how do those symbols connect with actual experience? Without a direct link, words risk floating as mere placeholders, empty of substance. This challenge extends to artificial intelligence and daily human communication alike. When we say “chair,”…
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Solving the AI Control Problem: A Wisdom-Based Approach to Alignment
The AI Control Problem, encompassing challenges such as instrumental convergence, self-preservation, and power-seeking tendencies, reflects deeper philosophical issues about agency, purpose, and alignment in artificial systems. Addressing these challenges effectively requires us to move beyond naive assumptions about “intelligence” and “goals” as fixed or inherently meaningful constructs. These assumptions often lead us to envision AI…
