The marvel of artificial intelligence lies in its newfound ability to transform your prompts into captivating videos. But the burning question remains: what’s the magic behind this technological wizardry?

Sora AI is a new and advanced  artificial intelligence software that lets people make incredibly realistic videos using just a few words.

OpenAI, the developers of DALL-E and ChatGPT, are excited to announce their forthcoming service, poised for imminent release to the broader public.

This recent advancement appears to have emerged unexpectedly. Past endeavors in AI-generated video content, as observed, have been subpar, with their quality falling considerably short of satisfactory. Describing them as less than deceiving would be an understatement.

OpenAI’s achievement in this regard raises the question of how they have accomplished it. As of now, the accessibility of the tool to users is a matter of inquiry. Examining the implications for the future of video, film, and content, we embark on an in-depth exploration of OpenAI’s latest groundbreaking tool Sora AI and its potential impact on various industries.

What is Sora?

Sora represents an advanced AI tool with the capability to generate complete videos of up to one minute in duration. By providing it with a prompt, such as “a field of cats worshipping one giant dog,” the tool is designed to produce a video aligning with the specified description in theory.

For those not closely monitoring social media or specialized computing forums, the rapid ascent of Sora might have gone unnoticed. Its introduction lacked a grand announcement or extensive advertising; rather, it seemingly appeared suddenly without much prior buildup.

OpenAI has revealed a collection of example videos, predominantly showcasing Sora’s ability to generate remarkably lifelike content. These videos demonstrate the tool’s proficiency in rendering reflections in mirrors, capturing precise fluid movements in liquids, and replicating the realistic descent of snow particles.

How does Sora work?

In essence, Sora operates in a manner similar to preceding AI image generators, albeit with a more intricate process involving numerous steps. The underlying mechanism employed by AI image generators, including Sora, is based on diffusion models.

The process becomes somewhat intricate, but fundamentally, it involves taking a video converted entirely into static. Subsequently, the system is trained to reverse this static, yielding a clear and detailed image, or in the case of Sora, a video.

In the training process, Sora is provided with examples of videos along with corresponding alt text that elucidates the events occurring in the video. This approach aids the model in establishing associations between the visual content and the contextual descriptions, facilitating the learning process.

Credit / Openai

Ultimately, this training enables the system to establish a connection between textual prompts and the resultant video output. The complexity of this task is notably heightened when contrasted with the generation of AI images that has been observed over the past year.

The model is required to comprehend a myriad of intricate features, including 3D models, movement, reflections, shadows, and an extensive array of complex elements to successfully replicate the desired content.

In adherence to its commitment to transparency, OpenAI provides a comprehensive breakdown of the model’s functionality on its website. However, there is an absence of information regarding the origin of the videos used in the training process.

How to use Sora AI

Presently, Sora is not accessible to the majority of users. Consistent with previous practices, OpenAI is exercising caution in the dissemination of its tools. The initial phase involves a limited group of individuals referred to as ‘red teamers’ who rigorously assess the tool for potential areas of harm or risk.

Subsequently, the tool is slated to be released to a select group of visual artists, designers, and filmmakers. This deliberate step aims to gauge how the tool integrates with and serves the needs of creative professionals.

It is anticipated that following the assessment by creative professionals, Sora will likely transition to public availability. Given its robust capabilities, a pay-to-use model akin to GPT can be expected for access to this powerful tool.

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Is Sora the best AI video generator?

The videos released thus far indicate that Sora has made substantial strides beyond anything witnessed in the past. Merely a year ago, initial attempts at AI video generation were deemed somewhat comical, showcasing a remarkable evolution in a relatively short span.

During that time, a video featuring Will Smith eating spaghetti gained viral attention, alongside another video titled ‘Pepperoni Hug Spot,’ an AI-generated TV commercial. Both instances were perceived more as surreal and unsettling experiences rather than credible examples of AI video production.

In a comparative analysis with the earlier videos, Sora represents an entirely different realm. It excels in generating videos characterized by precise lighting, reflections, and authentic human attributes. Notably, Sora has effectively addressed challenging issues, such as seamlessly incorporating individuals entering and exiting the screen, demonstrating a remarkable advancement in AI video generation.

Despite its impressive capabilities, Sora is not without imperfections. Upon observing a compilation of Sora videos, noticeable errors become apparent, such as instances where body parts vanish and reappear, individuals seemingly materialize unexpectedly, and feet appear to hover above the ground.

Presently, only carefully selected videos from OpenAI are available for public view. Upon wider accessibility to the public, a broader spectrum of videos, both showcasing the model’s strengths and revealing its weaknesses, is anticipated to emerge.