The speaker says that LLMs and VLMs provide basic representations and generalization without requiring those foundational representation problems to be solved separately.

“is that with self-driving what took a big fraction of that time was solving the problem of building basic having basic perception that's robust and building representations and having a model that has some common sense so it can generalize to when i see something that's slightly out of distribution if somebody's waving down the road this way you don't need to train for it the thing will”

“will have some understanding of how to respond to something like that and these are things we're getting for free with llms or vlms today so we don't have to solve these very basic representation problems and so now deploying ais across different domains will sort of be like deploying a self-driving car with current models to a different city which is hard but not like a 10-year long task”