The speaker says empirical results show that sufficiently large AI models can be trained on all subject areas and learn them together.

“different disciplines and so forth and the models have only a finite amount of parameters maybe you just can't like pack all that knowledge into this finite amount of parameters and you need to have specialized ais for different things and and in fact for small enough models that is true and like for really tiny models you just can't teach them all the things that they currently know and so you would need to have a specialized model for different things but what we've learned empirically is that for big enough models you can just train them on everything and then they learn everything at once and”