I believe that simply expanding large language models is not sufficient for achieving artificial general intelligence (AGI). AGI requires not just processing vast amounts of data or mastering language syntax, but also understanding causal relationships and developing cognitive abilities that mimic human reasoning. Large language models lack this causal understanding and are primarily statistical, grounded in pattern recognition rather than the deeper, necessary grasping of the world's underlying structure.