这是老杨在公众号的第446篇原创文章，本文中关于对“Sora”的相关介绍部分内容来自于网络！
最近两天的朋友圈又被一则科技新闻刷屏了，那就是：OpenAI发布文生视频模型“Sora”。它是继ChatGPT之后，OpenAI又推出的一款震惊科技圈的产品。
一、Sora是什么？有什么优势？
Sora，OpenAI发布的人工智能文生视频大模型，于2024年2月15日（美国当地时间）正式对外发布，Sora可以生成长达一分钟的视频，同时保持视觉品质并遵循用户提示。它能够生成具有多个角色、特定类型的运动以及精确的主题和背景细节的复杂场景。除了能够仅由文本指令生成视频外，该模型还能够获取现有的静态图像并从中生成视频，并精确地将图像内容动画化。Sora还可以对视频色彩风格等要素精确理解，创造出人物表情丰富、情感生动的视频内容。目前 Sora 尚未对公众全面开放，仅邀请部分测试者进行体验. 数字化转型网（www.szhzxw.cn）
二、Sora 三大亮点突出：
⑴．60 秒长视频，Sora 可以保持视频主体与背景的高度流畅性与稳定性。
⑵.单视频多角度镜头，Sora 在一个视频内实现多角度镜头，分镜切换符合逻辑且十分流畅。⑶.理解真实世界的能力，Sora 对于光影反射、运动方式、镜头移动等细节处理得十分优秀，极大地提升了真实感。
三、Sora的出现对社会有哪些影响？
周鸿祎预测，Sora 的出现，或意味着 AGI（通用人工智能）实现将从 10 年缩短到 1 年。Sora的推出将为视频生成领域带来革命性的进步。也将对多个行业产生影响，包括但不限于广告、影视、游戏、教育、新闻等领域。它可以帮助企业和个人更快速地创作和制作视频内容，提高效率。但同时，这也可能导致部分视频从业者面临失业的风险，尤其是近些年随着短视频的风靡，国内涌现出众多视频职业剪辑制作者，他们的前景恐令人担忧。
四、那么Sora的出现对企业的数字化转型有何启示呢？
不难看出人工智能技术发展之迅猛，已经大大超出了我们的预期，在尚未出现强大的人工智能能力时，我们需要具有前瞻性的思考力，学会利用AI工具提升创作力，而不是恐慌！新技术的出现不仅颠覆我们的认知与生活，更在颠覆我们的思维模式，但在AI技术为我们带来思想狂欢的同时，在数字化建设与AI的融合利用方面企业需要的是更多的理智，原因如下：
第一，AI技术目前尚不成熟，需要一个发展完善的过程，而对于场景化的技术落地，则需要更长的路要走； 数字化转型网（www.szhzxw.cn）
第二，AI技术落地企业场景需要的不仅是时间更需要大量的资金投入；一般的企业难以承受，且这种投入是持续性的；
第三，企业员工的AI思维能力与AI工具的融合更需要一个长时间的磨合过程；
所以在当前企业领导对于AI技术需要的是理智的思考，不要对其产生过高的期望，同时当前大部分软件公司在AI方面的技术支持能力还有很大的提升空间，所以企业领导不要想当然的认为只要利用了AI技术就可以马上优化多少员工，降低多少成本支出。
目前而言大部分传统企业数字化基础薄弱，对数字化技术的理解能力有限，虽然在思想上易接受先进的技术，但易对新技术产生过高的期望，产生很多离奇的想法。当前大部分的传统企业领导缺乏对数字化的深度认知，过多想当然的思维，才易导致系统落地时巨大的落差感，因此企业领导要清楚的是并不是所有的先进技术都是最好的、都适应于企业，能解决实际问题的才是最好的。
新兴技术具有普适性，并不是某个企业的专属，也并适应于所有工作场景，从概念到应用再到产出价值需要一个阶段与过程，因此技术有一个不断完善的过程，在这个过程中必然会产生各种不适、甚至是各种错误，因此企业必须要有一个接受、融合的过程，以完美的心态去要求新技术，以此来衡量新技术的成熟度是不科学的，也是不可取的，因此AI技术与普通技术最大的不同就是自我学习能力，但需要大量的时间去训练，因此AI人工技术在企业内的落地应用并发挥价值需要的时间，需要的是耐心，企业做数字化转型建设亦是如此。 数字化转型网（www.szhzxw.cn）
在AI技术高速发展的今天，企业必须以正确的认知来面对与引进先进技术：
①.如何让技术成为生产力；
②.如何保障生产力顺利提升；
③.如何搭建先进生产力体系；
企业尤其需要的是如何利用数字化进行员工的能力升级，而非利用技术给员工带来下岗的压力。
企业要面对的不仅是对AI技术的认知，同时更重要的是面对如何利用AI技术，当前有部分头部软件企业已经将AI技术应用于各种工作场景，老杨这里所指的技术是指企业信息中心的技术层面，包含两个方面的内容： 数字化转型网（www.szhzxw.cn）
第一，系统运维层面:
传统的后台运维需要耗费企业系统管理员大量的时间精力，比如流程设置，就需要先做表单然后一个节点与一个节点的去设置审批人、各种判断条件，而应用了AI技术之后，只需要对AI助手描述你的要求，即可快速实现流程的搭建；这就是AI技术给企业信息部门带来的技术变革，但值得要提醒的是有了AI技术并不代表着企业可以取消系统运维岗了，任何一个人都可以做系统运维，这是非常错误的想法，技术操作层面可替代，但技术思维才是最核心的。同时AI技术应用场景并不是非常成熟，还需要一个不断学习完善的过程，这就需要具有技术与管理思维的员工来完成此事；
第二，开发层面:
AI技术确实给当前的程序员带来了不小的压力，当一个新技术问世的同时必然会削弱另一项技术的影响力甚至让其消失，比如低代码平台的出现，让企业的一些场景摆脱了专业技术的约束，让员工培训一下之后就可以快速搭建一套应用系统场景，但这势必会影响到企业内部源代码开发人员的生存地位；因此当AI出现时，特别是AI+低代码场景出现时，信息部门的软件开发人员该何去何从？公然抵触？还是用各种方法去证明AI的各种缺陷，阻止其在企业全面应用？这是企业不得不全面考虑的问题，数字化转型是一个系统工程，如果某一个环节考虑不周，将影响全局的发展，因此当AI应用于企业工作场景时，企业首先要提升的就是AI与技术层面的融合能力，而非排斥；只有融合发展，才会进步，故步自封，只能被逐步出局。
在业务场景与AI技术融合的过程中，首先还是得培养业务人员的AI意识，也就是数字化转型过程中经常提到的转意识；要让业务人员全面了解AI的背后逻辑是什么，如何在工作中利用AI，出现问题了原因是什么，是企业原始数据不够精细，还是管理流程出了问题，要让业务人员尤其是管理者清楚的知道AI并不是喊一句：芝麻开门那般简单，要拒绝完美主义，因为从技术角度讲当前的AI并不是完美的，从应用角度讲，还是有限的，因此企业需要的是一个AI+人工不断精进学习的过程，企业应当杜绝短期见效主义，出现一点问题后就大喊“AI无用论”的现象，所以业务人员具备AI思维很关键，要打破传统工作思维，用AI的逻辑去思考、解决问题是关键。 数字化转型网（www.szhzxw.cn）
当前企业已经逐步进入了AI智能时代，只是还有很多企业没有做好准备，不清楚、不知道该如何应用AI，以为AI就如如念咒语一般简单：如意如意随我心意，快快显灵，企业要清楚的知道，AI不仅是技术，更是一种思维，想更好的利用AI技术，就必须先学会转型：意识转型、思想转型、工作模式转型，同时也必须有容错的心态，如AI一般的学习能力。
在数字化+AI时代里，信息部门的成员更是要学会“五个主动”即：主动拥抱新技术，主动学习新技术，主动应用新技术，主动推广新技术，主动融合新技术。
翻译：
The revelation of Sora for enterprise digital transformation
This is Lao Yang in the public number of the 446 original article, this article about the “Sora” related introduction part of the content from the network!
In the last two days, the circle of friends has been brushed by a science and technology news, that is: OpenAI released Vincennes video model “Sora”. After ChatGPT, OpenAI launched another product that shocked the tech world. 数字化转型网（www.szhzxw.cn）
First, what is Sora? What are the advantages?
Sora, OpenAI’s AI Vincenne video grand model, was officially released on February 15, 2024 (US local time), Sora can generate up to one minute of video, while maintaining visual quality and following user prompts. It is capable of generating complex scenes with multiple characters, specific types of movement, and precise theme and background details. In addition to being able to generate video from text instructions alone, the model is also able to take existing still images and generate video from them, and precisely animate the image content. Sora can also accurately understand elements such as the color style of the video to create video content with rich expressions and vivid emotions. Sora is not yet fully open to the public, and only some testers are invited to play it.
Second, three highlights of Sora:
⑴. For 60-second long videos, Sora can maintain a high degree of fluency and stability of the video subject and background.
(2) Single video multi-angle lens, Sora can achieve multi-angle lens in one video, and the point switch is logical and very smooth. (3) Ability to understand the real world, Sora is excellent at handling details such as light and shadow reflection, movement mode, and camera movement, which greatly improves the sense of reality.
Third, what is the impact of Sora on society?
Zhou Hongyi predicted that the emergence of Sora, or means that the realization of AGI (general artificial intelligence) will be shortened from 10 years to 1 year. The launch of Sora will revolutionize the field of video generation. It will also have an impact on a number of industries, including but not limited to advertising, film and television, games, education, news and other fields. It can help businesses and individuals create and produce video content more quickly and efficiently. But at the same time, this may also lead to some video practitioners face the risk of unemployment, especially in recent years with the popularity of short videos, many professional video clip producers have emerged in China, their prospects are worrying. 数字化转型网（www.szhzxw.cn）
Fourth, what are the implications of the emergence of Sora for the digital transformation of enterprises?
It is not difficult to see that the rapid development of artificial intelligence technology has greatly exceeded our expectations, and when there is no strong artificial intelligence capability, we need to have forward-looking thinking and learn to use AI tools to enhance creativity, not panic! The emergence of new technologies not only subverts our cognition and life, but also subverts our thinking mode, but while AI technology brings us a carnival of thought, enterprises need more rationality in the integration and utilization of digital construction and AI, for the following reasons:
First, AI technology is not mature at present, and it needs a perfect process of development, and for the landing of scenario-based technology, it needs a longer way to go;
Second, the landing of AI technology in the enterprise scene requires not only time but also a large amount of capital investment; The average enterprise can not afford, and this investment is continuous;
Third, the integration of employees’ AI thinking ability and AI tools requires a long running-in process;
Therefore, in the current business leaders for AI technology needs to be rational thinking, do not have too high expectations, at the same time, most of the current software companies in the AI technical support capacity there is still a lot of room for improvement, so business leaders do not take it for granted that as long as the use of AI technology can immediately optimize how many employees, reduce how much cost.
At present, most traditional enterprises have weak digital foundation and limited understanding of digital technology. Although they are easy to accept advanced technology in thought, they are easy to have excessive expectations for new technology and produce a lot of bizarre ideas. At present, most of the traditional business leaders lack the depth of digital cognition, too much taken for granted thinking, which can easily lead to a huge sense of gap when the system is landed, so business leaders should be clear that not all advanced technologies are the best, are adapted to the enterprise, and can solve practical problems is the best. 数字化转型网（www.szhzxw.cn）
Emerging technologies are universal, not exclusive to an enterprise, and can be adapted to all work scenarios. From concept to application to value output requires a stage and process. Therefore, technology has a process of continuous improvement, in which there will inevitably be various discomfort and even various mistakes. It is unscientific and undesirable to ask for new technology with a perfect attitude to measure the maturity of new technology. Therefore, the biggest difference between AI technology and ordinary technology is self-learning ability, but it takes a lot of time to train, so the application of AI artificial technology in the enterprise and its value need time and patience. The same is true for enterprises to build digital transformation.
Today, with the rapid development of AI technology, enterprises must face and introduce advanced technologies with a correct understanding:
①. How to make technology productive;
How to ensure the smooth improvement of productivity;
How to build an advanced productivity system;
In particular, companies need to use digitalization to upgrade the capabilities of their employees, rather than using technology to put employees under pressure to be laid off.
Enterprises have to face not only the cognition of AI technology, but more importantly, how to use AI technology. At present, some head software companies have applied AI technology to various work scenarios. Lao Yang here refers to the technical level of enterprise information center, including two aspects: 数字化转型网（www.szhzxw.cn）
First, system operation and maintenance level:
Traditional background operation and maintenance needs to consume a lot of time and energy of enterprise system administrators, such as process setting, you need to first make a form and then set the approver and various judgment conditions from node to node, and after the application of AI technology, you only need to describe your requirements to the AI assistant, you can quickly realize the construction of the process; This is the technological change brought by AI technology to the enterprise information department, but it is worth reminding that with AI technology does not mean that the enterprise can cancel the system operation and maintenance post, any person can do system operation and maintenance, which is a very wrong idea, the technical operation level can be replaced, but the technical thinking is the core. At the same time, the application scenario of AI technology is not very mature, but also needs a process of continuous learning and improvement, which requires employees with technical and management thinking to complete this matter;
Second, development level:
AI technology does bring a lot of pressure to the current programmers, when a new technology comes out, it will inevitably weaken the influence of another technology or even make it disappear, such as the emergence of low-code platforms, so that some scenes of enterprises get rid of the constraints of professional technology, so that employees can quickly build a set of application system scenarios after training. However, this will inevitably affect the survival status of internal source code developers; So when AI comes along, especially AI+ low-code scenarios, where do software developers in information departments go from here? A blatant conflict? Or is it a way to prove AI’s flaws and prevent its full application in the enterprise? This is a problem that enterprises have to consider comprehensively, digital transformation is a system engineering, if a certain link is not considered, it will affect the overall development, so when AI is applied to the enterprise work scene, the enterprise must first improve the integration ability of AI and technology, rather than exclusion; Only integrated development, will progress, complacent, can only be gradually out.
In the process of the integration of business scenarios and AI technology, first of all, it is necessary to cultivate the AI awareness of business personnel, which is often mentioned in the process of digital transformation. To let business personnel fully understand what is the logic behind AI, how to use AI in work, what is the cause of the problem, whether the original data of the enterprise is not fine enough, or the management process is wrong, let business personnel, especially managers, clearly know that AI is not a shout: As simple as Open Sesame, we should reject perfectionism, because from the technical point of view, the current AI is not perfect, from the application point of view, it is still limited, so what enterprises need is a process of AI+ artificial continuous improvement learning, enterprises should put an end to short-term effectiveness, and shout “AI useless” phenomenon after a little problem. Therefore, it is key for business personnel to have AI thinking, to break the traditional work thinking, to use AI logic to think and solve problems is the key. 数字化转型网（www.szhzxw.cn）
At present, enterprises have gradually entered the era of AI intelligence, but there are still many enterprises are not ready, do not know, do not know how to apply AI, thinking that AI is as simple as saying a mantra: The enterprise must clearly know that AI is not only a technology, but also a kind of thinking, want to make better use of AI technology, you must first learn to transform: consciousness transformation, thought transformation, work mode transformation, but also must have a tolerance for error mentality, such as AI general learning ability.
In the era of digitalization +AI, members of the information department should learn the “five initiatives”, that is, actively embrace new technologies, actively learn new technologies, actively apply new technologies, actively promote new technologies, and actively integrate new technologies.
本文由数字化转型网（www.szhzxw.cn）转载而成，来源于湘江数评；作者：老兵；编辑/翻译：数字化转型网宁檬树。
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