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, ...
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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 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 ...
Metacognitive Scaffolding and AGI: How It Shapes LLM Architectures
Metacognitive scaffolding and AGI is a topic that sits at the intersection of artificial intelligence, cognitive science, and learning theory. As Large Language Models (LLMs) become more powerful, researchers are asking a deeper question: Can teaching AI systems to “think ...
AI Agents and Recruitment Tools Transforming Hiring in 2025
AI Agents and Recruitment Tools Transforming Hiring in 2025: AI agents and recruitment tools are rapidly transforming how hiring teams source, screen, and select talent in 2025. These next-generation technologies automate repetitive tasks, improve efficiency, and enhance the candidate experience ...