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Minimal Computational Substrate for Embodied Consciousness: Architecture & Python Simulation

Minimal Computational Substrate for Embodied Consciousness: Architecture & Python Simulation

The search for a minimal computational substrate for embodied consciousness simulation sits at the critical intersection of artificial intelligence, cognitive science, and the philosophy of mind. Instead of asking how to build a human-scale intelligence, this line of legacy-breaking inquiry ...

Hypothesis-Driven Synthesis: Solving LLM Logical Paradoxes

Hypothesis-Driven Synthesis: Solving LLM Logical Paradoxes

Large Language Models (LLMs) have demonstrated remarkable capabilities in fluent text generation, code synthesis, and contextual translation. However, their core architecture relies on autoregressive next-token prediction, which fundamentally struggles with complex reasoning tasks. Specifically, deep logical paradoxes and self-referential logic ...

Informational Thermodynamics Limits of Self-Assembling AI

Informational Thermodynamics Limits of Self-Assembling AI

Self-assembling AI architectures represent the frontier of adaptive computing, where neural systems dynamically configure their own parameters, routing paths, and network topologies without static human design. However, these systems do not operate in a physical vacuum. The growth of order, ...

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