Merely expanding large language models is not sufficient for achieving artificial general intelligence (AGI). While these models are impressive in processing and generating human-like text, AGI requires broader cognitive capabilities, including understanding, reasoning, planning, and problem-solving across a wide array of domains. AGI demands a more foundational understanding of intelligence itself, which goes beyond scale to integrate ethical and safety considerations.