TO EXPLORE AI SORA POSSIBLEMULTI-DIMENSIONALINFLUENCESON THE FUTUREEDUCATION INDUSTRY, SHORT-VIDEO INDUSTRY, FILM INDUSTRY AND ROBOTICS INDUSTRY

In February 2024, OpenAI released Sora (a new Generative Artificial Intelligence (GAI) model), which possessed some capabilities to generate photo-realistic, sequential, animating, high-quality, enriching, or imaginative scenarios. In the context of the birth of Sora, this study focuses on the potential influence of Sora on future multiple industries.The functional analysis method and literature method are used for research. This study thinks that Sora will have an effect on the past business model, stimulating the future short-video industry to display more new paths.With the upgrading of Soras capabilities, it will not only substantially expand the future robots perceptual capabilities, but also bring the user with immersive experiences. Through gamified teaching methods and intelligent learning solutions, Sora has the potential to help students access more learning resources and increase engagement and motivation. Sora will have a direct influence on a number of aspects of the future film production industry, such as making technologies, intrinsic patterns, sales volume and personnel composition. Thesecontributions provide a theoretical and practical reference for practitioners in the education industry, robotics industry, the film industry and the short video industry. However, the study belongs to an exploration study in which some opinions need to be repeatedly verified by future researchers.

Authors

Publication Details

Journal
International Journal of Advanced Research
Published
2024-12-28
DOI
https://doi.org/10.21474/ijar01/19996
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
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article

TO EXPLORE AI SORA POSSIBLEMULTI-DIMENSIONALINFLUENCESON THE FUTUREEDUCATION INDUSTRY, SHORT-VIDEO INDUSTRY, FILM INDUSTRY AND ROBOTICS INDUSTRY

Hapini Awang, Nur Suhaili Mansor, Liu Yonggang
International Journal of Advanced Research
E-commerce and Technology Innovations
article

TO EXPLORE AI SORA POSSIBLEMULTI-DIMENSIONALINFLUENCESON THE FUTUREEDUCATION INDUSTRY, SHORT-VIDEO INDUSTRY, FILM INDUSTRY AND ROBOTICS INDUSTRY

Hapini Awang, Nur Suhaili Mansor, Liu Yonggang
article en

Abstract

In February 2024, OpenAI released Sora (a new Generative Artificial Intelligence (GAI) model), which possessed some capabilities to generate photo-realistic, sequential, animating, high-quality, enriching, or imaginative scenarios. In the context of the birth of Sora, this study focuses on the potential influence of Sora on future multiple industries.The functional analysis method and literature method are used for research. This study thinks that Sora will have an effect on the past business model, stimulating the future short-video industry to display more new paths.With the upgrading of Soras capabilities, it will not only substantially expand the future robots perceptual capabilities, but also bring the user with immersive experiences. Through gamified teaching methods and intelligent learning solutions, Sora has the potential to help students access more learning resources and increase engagement and motivation. Sora will have a direct influence on a number of aspects of the future film production industry, such as making technologies, intrinsic patterns, sales volume and personnel composition. Thesecontributions provide a theoretical and practical reference for practitioners in the education industry, robotics industry, the film industry and the short video industry. However, the study belongs to an exploration study in which some opinions need to be repeatedly verified by future researchers.

International Journal of Advanced ResearchVol. 12(12)
Openalex Percentile: Top 55%
E-commerce and Technology Innovations
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TO EXPLORE AI SORA POSSIBLEMULTI-DIMENSIONALINFLUENCESON THE FUTUREEDUCATION INDUSTRY, SHORT-VIDEO INDUSTRY, FILM INDUSTRY AND ROBOTICS INDUSTRY — Hapini Awang, Nur Suhaili Mansor, et al. · International Journal of Advanced Research (2024) | TGRS Research Map | TGRS