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IGUS is the International Group of Experts on the Explosion Risks of Unstable Substances. Today, the aim of the group is to exchange information on the behavior of unstable substances and to improve safety in production, storage, transport, and use of these substances. Full members of IGUS work for governments and independent research organizations. Experts from industry can and do attend meetings by invitation. IGUS's 50th anniversary in 2012 gives reason to have a closer look at the questions of how IGUS came to be, what IGUS's aims and objectives were, and how it is organized and working today.
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article chronicles the projects built as part of this hackathon. Participants employed LLMs for various applications, including predicting properties of molecules and materials, designing novel interfaces for tools, extracting knowledge from unstructured data, and developing new educational applications. The diverse topics and the fact that working prototypes could be generated in less than two days highlight that LLMs will profoundly impact the future of our fields. The rich collection of ideas and projects also indicates that the applications of LLMs are not limited to materials science and chemistry but offer potential benefits to a wide range of scientific disciplines.