摘要:Today, the editor will interpret and share "When Generative AI is Embedded in Short Videos: Application Scenarios, Utility Crisis,
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1 内容摘要(Content summary)
今天小编将从“思维导图、精读内容、知识补充”三个板块,解读分享文献《当生成式AI嵌入短视频:应用场景、效用危机与实践路径》。
Today, the editor will interpret and share "When Generative AI is Embedded in Short Videos: Application Scenarios, Utility Crisis, and Practical Paths" from the three sections of "mind map, intensive reading content, and knowledge supplement".
2 思维导图(Mind mapping)
3 精读内容(Intensive reading content)
本次泛读的文章是刊载于青年记者期刊上的一篇文章,作者回顾了人工智能驱动图像生产的时代出现的一些危机,提出生成式AI的推广应用要坚持科技向善的价值理念,以数据为生产要素,以深度学习算法技术实现创作的全面智能化,方能真正促进短视频生产与传媒业发展。
The article extensively read this time is published in the Youth Journalist Journal. The author reviews some crises that have arisen in the era of artificial intelligence driven image production and proposes that the promotion and application of generative AI should adhere to the value concept of technology for good, use data as a production factor, and achieve comprehensive intelligence of creation through deep learning algorithm technology, in order to truly promote the development of short video production and media industry.
作为OpenAI公司旗下首个由文字生成视频的AI模型,Sora拓展了传媒领域的研究议题和学术想象,有众多学者展开了对其的研究。作者认为生成式AI已成为全球发展最快的消费级应用产品,深刻改变者人类的艺术创作和文化生产方式,故其从价值理念、底层逻辑和技术基础三方面提出了人工智能赋能短视频发展的实践路径。
As the first AI model under OpenAI that generates videos from text, Sora has expanded the research topics and academic imagination in the media field, with numerous scholars conducting research on it. The author believes that generative AI has become the fastest-growing consumer level application product globally, profoundly changing the way humans create art and produce culture. Therefore, it proposes a practical path for AI to empower the development of short videos from three aspects: value concepts, underlying logic, and technological foundations.
生成式AI大模型经过大量参数的训练使得其工作能力得到了全方位的提升,从一开始的单模态单向感知,转变为可以模拟人脑的多模态全面认知。作为一种新质生产力,生成式人工智能Sora基于强大的扩散模型和转换器架构可产出高分辨率、流畅真实的视频,使得短视频制作得到全面智能化、自动化,降低了视频制作的门槛。
The generative AI model has undergone extensive parameter training, resulting in a comprehensive improvement in its working ability. It has evolved from a single modal and unidirectional perception to a multimodal and comprehensive cognition that can simulate the human brain. As a new type of productivity, generative artificial intelligence Sora, based on a powerful diffusion model and converter architecture, can produce high-resolution, smooth and realistic videos, making short video production fully intelligent and automated, and lowering the threshold for video production.
生成式人工智能大模型Sora生成视频的威力十分强大且十分智能,它可跟据人的文字描述生成多条多种所需视频,并根据人的进一步要求细化更改视频内容,使视频创作高效且富有创意,以此提高观众的满意度和参与度。
The generative artificial intelligence model Sora has great power and intelligence in generating videos. It can generate multiple required videos based on human textual descriptions and refine and modify the video content according to further human requirements, making video creation efficient and creative, thereby improving audience satisfaction and participation.
目前生成式人工智能已不局限于生成文字,现存模型已在常规文字生成模型的基础上进行了升维,变得可以生成视频,将文本视频化、自动生成MV、抽象知识的具象呈现等功能一应俱全,大大扩展了艺术创作的范围,推动了短视频等行业的智能化、精细化和多样化的发展,形成了更加繁荣和包容的数字文化生态。
At present, generative artificial intelligence is no longer limited to generating text. Existing models have been upgraded on the basis of conventional text generation models, becoming capable of generating videos, including text visualization, automatic generation of music videos, and concrete presentation of abstract knowledge. This greatly expands the scope of artistic creation, promotes the intelligent, refined, and diversified development of industries such as short videos, and forms a more prosperous and inclusive digital cultural ecology.
虽然文生视频模型可生成高质量的视频,在推动短视频内容创作的全面智能化、创意生成、跨模态开发内容场景及创造虚拟偶像方面具有优势,但其负面效应也在逐步显现,如人工智能生成内容可能引发拟造真实、创作主体不清、技术狂欢及计算宣传带来的信任危机、版权危机、泛娱乐危机及操纵危机等问题。
Although the Wensheng video model can generate high-quality videos and has advantages in promoting the comprehensive intelligence, creative generation, cross modal development of content scenes, and creation of virtual idols in short video content creation, its negative effects are gradually emerging, such as the potential for artificial intelligence generated content to trigger issues such as authenticity, unclear creative subjects, trust crisis caused by technological frenzy and computational propaganda, copyright crisis, pan entertainment crisis, and manipulation crisis.
作者在梳理总结了以上生成式AI在短视频生成等内容产出领域可能会出现的弊端和问题后,提出了一些生成式AI合理嵌入短视频创作的实践路径,如科技向善、搜集更多数据、重视底层技术等建议,希望通过合理使用生成式AI技术,使得短视频行业迎来更加智能化、多样化和高效化的发展,为用户提供更加丰富的体验的同时,促进社会的进步和文化的传播。
After summarizing the possible drawbacks and problems of generative AI in the field of short video generation and other content production, the author proposes some practical paths for the reasonable embedding of generative AI in short video creation, such as technology for the good, collecting more data, and emphasizing underlying technologies. It is hoped that through the reasonable use of generative AI technology, the short video industry will usher in more intelligent, diversified, and efficient development, providing users with richer experiences while promoting social progress and cultural dissemination.
4 知识补充(Knowledge supplement)
什么是新质生产力?
What is new quality productivity?
新质生产力是相对于传统生产力而言的,人类社会的不同历史阶段,生产力发展所依赖的技术支撑和工具各不相同。新质生产力是以新技术深化应用为驱动,以新产业、新业态和新模式快速涌现为重要特征,进而构建起新型社会生产关系和社会制度体系的生产力。新质生产力的出现和发展壮大是推动人类文明进步的根本动力。
New quality productivity is relative to traditional productivity, and the technological support and tools relied on for the development of productivity vary in different historical stages of human society. New quality productivity is driven by the deepening application of new technologies, characterized by the rapid emergence of new industries, new formats, and new models, and the construction of new social production relations and social institutional systems. The emergence and development of new productive forces are the fundamental driving force behind the progress of human civilization.
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参考资料:
翻译:ChatGPT 4
文字:https://baike.baidu.com/item/新质生产力/63458194
参考文献:郭婉君, 王晴川. 当生成式AI嵌入短视频:应用场景、效用危机与实践路径 [J/OL]. 青年记者, 1-7[2025-03-20].
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