Self-Replicating Prompts for Large Language Models: Towards Artificial Culture

Stenzel, Gerhard; Zorn, Maximilian ; Altmann, Philipp ; Mansky, Maximilian; Kölle, Michael und Gabor, Thomas (2024): Self-Replicating Prompts for Large Language Models: Towards Artificial Culture. ALIFE 2024: The International Conference for Artificial Life, Kopenhagen, Dänemark, 22. - 26. Juli 2024. Faíña, Andrés; Risi, Sebastian; Medvet, Eric; Stoy, Kasper; Chan, Bert; Miras, Karine; Zahadat, Payam; Grbic, Djordje und Nadizar, Giorgia (Hrsg.): In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference, Cambridge, MA: MIT.

Abstract

We consider various setups where large language models (LLMs) communicate solely with themselves or other LLMs. In accordance with similar results known for program representations (like λ-expressions or automata), we observe a natural tendency for the evolution of self-replicating text pieces, i.e., LLM prompts that cause any receiving LLM to produce a response similar to the original prompt. We argue that the study of these self-replicating patterns, which exist in natural language and across different types of LLMs, may have important implications on artificial intelligence, cultural studies, and related fields.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• Ort: Cambridge, MA
• Sprache: Englisch