Natural language evolves with what's happening in the world. Natural language also refers to what's happening in the works. For ML to keep up with that it would

Natural language evolves with what's happening in the world. Natural language also refers to what's happening in the works. For ML to keep up with that it would have to understand what's going on in the world, no? Imagine you see a discussion about a border issue between two countries. You see a sentence that says: "What if country X does what Lukashenka did?" If you've paid attention to the news about the border issue between Belarus and Lithuania you'd understand that the sentence is referring to flying in Iraqi migrants to Belarus to then send them to Lithuania to try to cross the border. Effectively to "flood the border". It gets worse too depending on the perspective. For those that support Lukashenka the meaning might be different, because they don't accept that the above is what really happened. For an ML model to understand all of this, it would have to have an understanding of what's going on in the real world. And it would have to be able to glean this understanding from few examples. I'm not sure how feasible this is.