I think you're probably right that the verbalization is the 'interface layer' but why does that mean LLMs can't approach AGI? They also only use words as an 'interface' layer. Underlying weights are vectors in an abstract space.
With humans, it has been shown that reasoning processes for different aspects of human behavior are completely distinct from verbalization, they work fully autonomous, and the (inner) verbalization comes afterwards.
For LLMs, the tokens (i.e. words) are what the weights are based on, as there isn't other input into them.
