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An information-theoretic framework quantifying intensional inheritance, enabling AI systems to model conceptual meaning, probabilistic relationships, and human-like reasoning beyond simple example-based hierarchies.

How well can AI tackle real-world science? ScienceAgentBench puts 102 tasks to the test, exposing both its breakthroughs and struggles.

Telework has stopped being a perk and become a basic condition of workplace hygiene. 

Sharon explores the evolution of consciousness through AI’s role, tech integration, and the emergence of cyborgs, introducing terms like ‘ozeozes,’ ‘Inner Silk Road,’ and ‘Regenaissance.

AI models are aligning across tasks and modalities, revealing surprising patterns. The Platonic Representation Hypothesis suggests a universal framework for machine learning's future—will it mirror human cognition?

Ancient wisdom can guide AI ethics, blending time-tested virtues with modern principles for technology that prioritizes compassion, justice, and sustainable development.