Researchers are exploring the use of large language models in autonomous chemical research, potentially enabling self-correction and automation in laboratory experiments. This involves the development of multi-agent systems and collective intelligence to facilitate scientific discovery. Studies and surveys are being conducted to examine the implications and applications of this technology in fields such as chemistry and biology.