Pathways to AGI: From Narrow AI to General Cognition
A comprehensive analysis of architectural shifts required to transition from task-specific models to systems capable of transfer learning, abstract reasoning, and cross-domain adaptation.
Exploring the architecture, ethics, alignment challenges, and socio-economic implications of machines capable of human-level cognitive flexibility and autonomous reasoning.
A comprehensive analysis of architectural shifts required to transition from task-specific models to systems capable of transfer learning, abstract reasoning, and cross-domain adaptation.
Examining reward hacking, specification gaming, and the emerging frameworks for value alignment, including Constitutional AI and recursive reward modeling.
How scaled attention mechanisms, chain-of-thought prompting, and test-time compute are bridging the gap between statistical pattern matching and deliberative reasoning.
Distinguishing between behavioral equivalence and subjective experience. What metrics actually measure general intelligence, and does phenomenology matter for AGI deployment?
Why purely digital training may hit a ceiling, and how robotics, simulation-to-real transfer, and sensorimotor grounding could unlock true generalization.
Policy recommendations, red-teaming methodologies, and pause mechanisms proposed by leading research institutes to mitigate existential risk during rapid capability gains.