Core concepts, principles, methodology
I. The Binding Problem asks how our minds combine separate aspects of perception—like color, shape, and sound—into a single, unified experience. When we look at a red ball rolling across the floor, we don’t simply see color in one place, shape in another, and motion somewhere else. Instead, we experience one vivid scene. This has…
AWE systems complement AGI, grounding its potential in wisdom and ethics. Together, they create a future where intelligence serves human connection and flourishing.
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.
Explore how the Trolley Problem dissolves with AWE principles, reframing ethics as relational and interdependent, not binary, to address real-world complexity.
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
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…
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,”…
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…
Artificial Wisdom Emulation (AWE) redefines AI’s future by integrating wisdom, ethics, and contextual understanding into AI systems. Explore how AWE levels create smarter, wiser AI that complements AGI to serve humanity’s collective well-being.
Have you ever wondered if, in our relentless pursuit of smarter machines, we’re actually missing the bigger picture? We’ve been so fixated on achieving Artificial General Intelligence (AGI) that we might be overlooking what we really want out of AI. Maybe it’s time we adjust our focus from creating intelligent systems that can outdo human…