生成式人工智能模型，包括大型语言模型和多模态模型，如包含文本和其他媒体，正处于改变现代生活众多方面的边缘，包括娱乐、教育、公民生活、艺术和各种职业。生成式AI有可能对多个科学领域的发现方法和速度产生实质性影响。我们采访了来自各种领域（包括物理、生命和社会科学）的20名科学家，以了解生成式AI技术如何能够添加价值到他们各自的学科实践中，包括加速科学发现（即研究）的方式，以及其他方面的职业发展，包括未来学者的教育和科学发现的传播。除了确认生成式AI提供了增强科学家当前实践的机会，我们还询问了参与者对AI的担忧。这些结果可以帮助引导负责任的模型和接口的开发，用于科学教育、探究和传播。
总结：
一些科学家对生成式人工智能在他们领域的潜在应用进行了探讨。语言学家认为，生成式AI可以用于自然语言生成和翻译，但其受限的语法和结构可能会限制其效果。神经科学家认为，生成式AI可以用于模拟神经网络，以更好地了解大脑的工作原理。生物学家认为，生成式AI可以通过模拟生物过程来帮助研究新药物的开发和生物系统的理解。艺术家认为，生成式AI可以用于创意艺术项目，但可能会引起涉及版权、伦理和审美风格等问题。总体来说，科学家们普遍认为，生成式AI具有潜在的应用领域，在未来将继续发挥重要作用。
标题：Scientists’ Perspectives on the Potential for Generative AI in their Fields
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