Current AI systems excel at specialized tasks but lack general intelligence.

Most modern AI, like language models, image recognition, and game-playing bots, operate extremely well within narrow domains. They can process vast amounts of data and identify patterns faster than humans, but they struggle to transfer their skills to new, unrelated tasks without retraining. This limitation highlights the gap between specialized AI and AGI, which would seamlessly adapt and learn across diverse challenges like a human brain.