There are reports that Large Language Models, or LLMs, are now generating new research ideas and then also writing the required code, doing the necessary experiments, summarizing research results, visualizing related data and providing scientific manuscripts reporting on research results. Those claims are questioned by Subbarao Kambhampati, a professor in the School of Computing and Augmented Intelligence, part of the Fulton Schools, and a past president of the Association for the Advancement of Artificial Intelligence. He points to cases of LLMs showing poor reasoning and planning abilities and struggling with deducing new facts from existing information. The article is also published in Startup News.