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arXiv AI By Muhammad Atta Ur Rahman, Melanie Schranz, Samira Hayat

LLM-Powered Swarms: A New Frontier or a Conceptual Stretch?

Read the original on arXiv AI →

The paper examines whether large language model (LLM)-powered systems, such as OpenAI’s Swarm (OAS) framework, embody the core principles of classical swarm intelligence—decentralization, simplicity, emergence, and scalability. By implementing and comparing LLM-based and classical versions of Boids and Ant Colony Optimization, the authors find that while LLM swarms can mimic swarm-like dynamics, they suffer from significant computational overhead, with the LLM-based Boids simulation taking about 300 times longer than its classical counterpart.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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