Scientists from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences have reimagined the pollination process by developing a new system that uses gene editing to create flowers that can be easily pollinated by AI-controlled robots working round the clock.

Anomalies in temperature and salinity that originate in the midlatitude North Atlantic can affect the Atlantic Meridional Overturning Circulation (AMOC) in the Nordic Seas up to a decade later. The study published in Nature’s journal Communications Earth & Environment shows that the anomalies that travel northward with the Atlantic Water are an important part of the system, and actively modulate both the inflow of warm water into the Nordic Seas and the overflow of dense water back into the deep Atlantic.

In the field of natural language processing, the rapid development of large language model (LLM) has attracted increasing attention. LLMs have shown a high level of creativity in various tasks, but the methods for assessing such creativity are inadequate. Assessment of LLM creativity needs to consider differences from humans, requiring multiple dimensional measurement while balancing accuracy and efficiency. This paper aims to establish an efficient framework for assessing the level of creativity in LLMs. By adapting the modified Torrance tests of creative thinking, the research evaluates the creative performance of various LLMs across 7 tasks, emphasizing 4 criteria including fluency, flexibility, originality, and elaboration. In this context, researchers develop a comprehensive dataset of 700 questions for testing and an LLM-based evaluation method. In addition, this study presents a novel analysis of LLMs′ responses to diverse prompts and role-play situations. Researchers found that the creativity of LLMs primarily falls short in originality, while excelling in elaboration. In addition, the use of prompts and role-play settings of the model significantly influence creativity. Additionally, the experimental results also indicate that collaboration among multiple LLMs can enhance originality. Notably, their findings reveal a consensus between human evaluations and LLMs regarding the personality traits that influence creativity. The findings underscore the significant impact of LLM design on creativity and bridge artificial intelligence and human creativity, offering insights into LLMs′ creativity and potential applications.