OpenAI launches Sora, an AI that can create 60-second videos from text instructions

By - Che Browndon
Written-on - February 17, 2024

Sora AI

OpenAI took the world by storm in November 2022 after it launched ChatGPT (Chat Generative Pre-trained Transformer), a highly sophisticated AI able to write computer programs, essays, answer questions, generate business ideas, compose music, translate and even summarize text. It is based on the Language Learning Model and requires text prompts to answer questions thrown at it. It became one of the fastest growing software applications in history gaining over 100 million users in a span of

What is "Sora"?

OpenAI recently announced a brand new AI model. This AI is known as “Sora” and it is capable of creating 60-second videos with just text prompts. Text prompts are sentences or keywords input provided to AI language models for a reply otherwise known as output to be generated. In order for Sora to function, all you need to do is create a prompt message or input a text message. This message should be specific and it should be detailed or concise. This AI is able to generate complex scenes with multiple characters, specific types of motion and accurate details of the subject and background because Sora understand how those prompt text exist in the real world. It is also revealed the model has a deep understanding of language enabling it to interpret prompts and generate compelling characters. Sora can also create multiple shots within a generated video.

Sora is a diffusion model hence it generates videos by staring off with one that looks like static noise and gradually transforms it by removing the noise over many steps. The model was given foresight of many frames at a time when enables the subject stay the same even after temporarily going out of view. Sora uses a transformer architecture giving it amazing scaling performance. Sora was built on past research on DALL-E and GPT models. Sora uses the recaptioning technique from the DALL-E 3 which generates descriptive captions for the visual training data hence its able to follow the user’s text instructions faithfully. Videos and images are represented as collections of smaller units called patches having relations to the GPT model. By unifying how data is trained, diffusion transformers can be trained on a wider range of visual data spanning different durations, resolution and aspect ratios.

This AI can also generate a video from an existing still image. The images content will be animated with accuracy and with attention to even tiny details. It can also expand an existing video and even fill in missing frames.

ComicCone official image-logo

Some limitations

Sora may struggle with accurately stimulating the physics of a complex science. OpenAI also gave an example to this scenario and here’s how it goes. A person might bite a cookie, but afterwards, the cookie may not have a bite mark. Sora might also confuse spatial details of a prompt for instance mixing up left and right. It may struggle with precise description of events that take place over time such as Camera trajectory

Access and Safety

The access to Sora was given to red teamers, some visual artists, designers, and filmmakers on how to advance the model to assist professionals. They are trying to get the feedback as fast as possible so the public eventually gets a “feel” of this new AI model. OpenAI also emphasized on safety measures emphasizing on how it is working on various ways to ensure the product doesn’t cause “issues”. One of such steps is the creation of policies meant to govern the use of the AI model.


OpenAI announced this AI showcasing what it can be and it was quite impressive. These videos were extremely detailed. It was visually amazing. In order to see the Videos Sora created and to get more information about this brand new AI model, you can click here.


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