I would assume that larger models working with additional training data will eventually allow them to understand physics to the same extent as humans inspecting the world - i.e. to capture what we call Naive Physics [0]. But the limit isn't there; the next generation of GenAI could model the whole scene and then render it with ray tracing (no special casing needed).
There seems to be little basis for this assumption, as current models don’t exhibit understanding. Understanding would allow to apply it to situations that don’t match existing patterns in the training data.
That’s not large models “understanding physics.” Better, giving output “statistically consistent” with real physical measurements. And no one, to my knowledge, has yet succeeded in a general AI app that reverts to a deterministic calculation in response to a prompt.
I would assume that larger models working with additional training data will eventually allow them to understand physics to the same extent as humans inspecting the world - i.e. to capture what we call Naive Physics [0]. But the limit isn't there; the next generation of GenAI could model the whole scene and then render it with ray tracing (no special casing needed).
[0] https://en.wikipedia.org/wiki/Na%C3%AFve_physics