ChatGPT can browse the web, write code and analyze images, but ask it what time it is and you might get the correct answer, a confident wrong answer, or a polite refusal -- sometimes all three within minutes of each other.

The problem stems from how large language models work. These systems predict answers based on training data and don't receive constant real-time updates about things like time unless they specifically search the internet. AI robotics expert Yervant Kulbashian told The Verge that a language model "is only referencing things that have entered this space," comparing it to a castaway on an island stocked with books but no watch.

OpenAI can give ChatGPT access to system clocks, and does so through features like Search. But there are tradeoffs: every clock check consumes space in the model's context window, the finite portion of information it can hold at any given moment. Pasquale Minervini, a natural language processing researcher at the University of Edinburgh, said the leading models also struggle to read analog clock faces and have trouble with calendars.

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