Achieving true Artificial General Intelligence (AGI), the ability to acquire knowledge without explicit training, remains a challenge for current AI architectures.
Current AI systems can only simulate creativity and general intelligence on a surface level, struggling to make connections between unrelated domains and lacking the ability to generalize.
Developing AGI requires massive computational resources and conceptual breakthroughs in understanding the brain and human reasoning.
While progress has been made, it is likely still a decade or more away from creating a minimal AGI that can function across domains like humans.