Summary of Large Language Models Show Both Individual and Collective Creativity Comparable to Humans, by Luning Sun et al.
Large Language Models show both individual and collective creativity comparable to humans
by Luning Sun, Yuzhuo Yuan, Yuan Yao, Yanyan Li, Hao Zhang, Xing Xie, Xiting Wang, Fang Luo, David Stillwell
First submitted to arxiv on: 4 Dec 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates the creativity of Large Language Models (LLMs) by benchmarking them against individual humans and groups of humans across 13 creative tasks spanning three domains. The authors find that the best LLMs, Claude and GPT-4, rank in the 52nd percentile against humans, excelling in divergent thinking and problem solving but lagging in creative writing. Additionally, when questioned multiple times, an LLM’s collective creativity is equivalent to 8-10 humans, with two additional responses of LLMs equaling one extra human. This study provides insights into the capabilities of LLMs in various creative tasks and raises questions about their potential impact on the future of work. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how well computers can be creative like humans. It tests computer models called Large Language Models (LLMs) by giving them 13 different tasks that require creativity, such as writing stories or solving puzzles. The researchers compare the LLMs to individual people and groups of people doing the same tasks. They find that some LLMs are quite good at coming up with new ideas and solving problems, but they’re not as good at creating written work like stories or poems. This study helps us understand how computers can be creative and what it might mean for the future of work. |
Keywords
» Artificial intelligence » Claude » Gpt
