This baffles me honestly. ChatGPT, for some reason, does not know of time or the date. It just assumes everything happens at the same time or recognizes ‘day’ or ‘night’ when you tell it. But it never keeps track of anything.
This baffles me honestly. ChatGPT, for some reason, does not know of time or the date. It just assumes everything happens at the same time or recognizes ‘day’ or ‘night’ when you tell it. But it never keeps track of anything.
Despite how the information is presented to you, LLMs aren’t reasoning engines. They don’t come to conclusions based on the information fed to them; they don’t learn. They’re complex probability sieves that try to predict the expected output based on a set of input tokens.
So they have no concept of anything, including time. They look at a prompt, compare it to the prompts they were trained on, and with a bit of random path selection thrown in, try to find the best path to the goal.
My guess is that up until now, this hasn’t required taking time into consideration. It would definitely be possible to create a model that valued time context, but apparently that hasn’t been an important variable to this point in time, at least for frontier models.