The Difference Between Child and AI Meaning Acquisition

Hey everyone,

I've been thinking about how generative AI understands the meaning of words through neural machine learning. Is it only about digits without other layers?

That got me wondering—how different is the way a child learns meanings compared to how a machine does it? Am I even asking the right question? Is this like asking, "What's the difference between a stone and a tiger?"—where the answer is just, "They're different, and that's that," without any deeper distinction?

If you've come across any interesting empirical papers or evidence based books on this, I'd love to know about them.

Thanks!