OpenAI has introduced Sora, a text-to-video diffusion model capable of generating high-definition video clips up to one minute long from short text descriptions. Sora utilizes a diffusion transformer architecture, inspired by large language models, to transform visual data into unified representations for large-scale training, enabling it to handle a diverse range of video characteristics. It incorporates patch-based representations and a video compression network to efficiently manage and generate video content, while leveraging methodologies from DALL-E3 for enhanced text fidelity. Sora can animate static images, extend videos, and edit video content using text prompts, offering flexibility in video generation and editing tasks. Despite its capabilities, Sora has limitations in simulating complex spatial interactions and understanding causality. OpenAI is implementing safety measures, including red team testing and content detection, to ensure responsible use. Sora stands out among other text-to-video models like Google's Lumiere and Stability AI's Stable Video Diffusion, providing a powerful tool for content creation and simulation tasks.