> A human is able to figure this out because they can see what those objects are. What if you couldn't see? What if the interaction was limited to just text? W

> A human is able to figure this out because they can see what those objects are. What if you couldn't see? What if the interaction was limited to just text? Would you be smart enough to ask for an image of those objects? Do you think an LLM can "reason" to ask for additional information, like images of the objects? A sufficiently large LLM can be trained with a wide range of training data, to the point where it can answer some questions where its seemingly generating new information, but that new information is simply a combination of existing information. In the same way, when you ask it some question about code, it may put together two snippets of code never seen before into something that is new. The key factor there is all of that information is encoded into the network, so all the network is doing is essentially a somewhat complicated graph lookup.