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"But what is pitched as a more convenient way of looking up information online has prompted scrutiny over how and where these chatbots select the information they provide. Looking into the sort of evidence that large language models (LLMs, the engines on which chatbots are built) find most convincing, three computer science researchers from the University of California, Berkeley, found current chatbots overrely on the superficial relevance of information. They tend to prioritise text that includes pertinent technical language or is stuffed with related keywords, while ignoring other features we would usually use to assess trustworthiness, such as the inclusion of scientific references or objective language free of personal bias."

"Meanwhile, Goel plans on bringing the chatbot to more schools and classes. While he doesn't see Jill completely replacing professors and assistants, he thinks giving more students the opportunity for one-on-one interactions - even if with an AI - will help keep them engaged in the coursework."