Maths models have very probably significant differences. For instance, they are strapped to a formal solver. Not to mention, they should be in "continuous" ML learning mode.
I wonder if from the observation data of particle physics we have, a "physics" model could "infer" a hard mathemical theory using those previous maths models (and probably other tools) which would fit this very observation data.
ScyFy: if those mathemical theories are beyond us, we would need other models in order to try to extract some predictions which could be interesting for us to verify with some "real-life"/reasonable experiments.
I wonder if from the observation data of particle physics we have, a "physics" model could "infer" a hard mathemical theory using those previous maths models (and probably other tools) which would fit this very observation data.
ScyFy: if those mathemical theories are beyond us, we would need other models in order to try to extract some predictions which could be interesting for us to verify with some "real-life"/reasonable experiments.