> And yet I can provide modern LLMs unique never before asked scenarios that require the ability to reason about real world phenomenon and they can respond in ways more thoughtful than the average person.
One example is to provide it a list of objects and ask it what would be the most plausible way to stack them without damaging the objects while also being stable. Optionally, you can ask the model to generate a rational for the solution provided.
You can even invent a fictious object that has never existed, define it's properties, and ask the model to include it in the list.
you have a lot of resources about similar problems on the internet. so LLMs will have some patterns to leverage even if it is not even sure if you will get correct answers.
Give me an example of that