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Minimal Computational Substrate for Embodied Consciousness Simulation Explained

Minimal Computational Substrate for Embodied Consciousness Simulation Explained

Minimal computational substrate for embodied consciousness simulation is a foundational question at the intersection of artificial intelligence, cognitive science, neuroscience, and philosophy of mind. In simple words:What is the smallest kind of computational system that could realistically simulate a conscious, ...

Hypothesis-Driven Synthesis: Can It Solve Logical Paradoxes LLMs Can’t?

Hypothesis-Driven Synthesis: Can It Solve Logical Paradoxes LLMs Can’t?

Hypothesis-Driven Synthesis is increasingly discussed as a possible solution to a key weakness of current Large Language Models (LLMs): their difficulty with deep logical paradoxes and self-referential reasoning. In simple words:Hypothesis-Driven Synthesis asks the system to actively propose, test, reject, ...

Informational Thermodynamics Limits of Self-Assembling AI Explained

Informational Thermodynamics Limits of Self-Assembling AI Explained

Informational thermodynamics limits of self-assembling AI describe the fundamental physical and informational boundaries that restrict how intelligent systems can organize themselves, learn, and evolve. In simple words:Self-assembling AI cannot grow intelligence for free—every bit of learning, structure, and order comes ...

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