However, it should also be noted that Krenn and Zeilinger recently suggested a more disruptive approach to use LLMs. They introduced SemNet, a dynamic knowledge organization method in the form of a continuously evolving network, constructed from 750,000 scientific papers dating back to 1919. Each node in SemNet represents a physical concept, and a link is established between two nodes when the concepts are jointly explored in articles. SemNet has proven its utility by enabling the authors to pinpoint influential research topics from the past. The authors trained SemNet to forecast trends in quantum physics, and these predictions have been validated using historical data.