While expansion of large language models is a critical step, it alone is not sufficient for achieving artificial general intelligence (AGI). These models are crucial for processing and understanding vast amounts of data which simulates one aspect of human intelligence. However, AGI requires integration of broader cognitive functions like reasoning, problem-solving, and learning from minimal data, which are areas we still need to extensively develop.