> Saying anything more about that process is just anthropomorphizing. Take "this LLM is more curious" as a shorthand for "the output generated by this LLM mimi

> Saying anything more about that process is just anthropomorphizing. Take "this LLM is more curious" as a shorthand for "the output generated by this LLM mimics the kind of behaviour we would describe in a human as being curious". > It just sits there until you ask for output. That is indeed a property of the current interfaces. But this can be very easily changed. If we choose to we can just pipe in the clock, and then we can train the model to write to you after a while. Or we can make a system where certain outputs from the LLM cause the execution environment fetch it data from outside sources and input it into the LLM. And then there would be model weights which make the system just sit there and do nothing, and there would be model weights which browse wikipedia all day. I think it would be apt to call this second kind a "curios" model while the pervious one is not.