Prompt Sora: “Animated scene features a close-up of a short fluffy monster kneeling beside a melting red candle 
Prompt Sora: A gorgeously rendered papercraft world of a coral reef, rife with colorful fish and sea creatures 
Prompt Sora: Several giant wooly mammoths approach treading through a snowy meadow, their long wooly fur lightly blows in the wind as they walk. 
Prompt Sora: Beautiful, snowy Tokyo city is bustling. The camera moves through the bustling city street, following several people enjoying the beautiful snowy weather and shopping at nearby stalls. 
Prompt Sora: A stylish woman walks down a Tokyo street filled with warm glowing
- Sora, OpenAI’s latest AI model, can generate lifelike videos from written instructions. Currently in testing, it can produce videos up to one minute long, showcasing its ability to understand real-world concepts and blend multiple scenes seamlessly without disrupting character or style.
- The aim is to teach AI to comprehend and mimic the dynamics of the physical world, with the ultimate goal of creating models that can help solve real-world problems requiring interaction with the environment.
- OpenAI claims that Sora can construct intricate scenes, incorporating complex camera movements and multiple characters. Technically, Sora operates as a diffusion model, starting with a video resembling static noise and gradually refining it into the final product by progressively eliminating the noise.
- Videos and images are represented as collections of smaller data units called patches, similar to tokens in GPT. This unified data representation allows for training diffusion transformers on a wider array of visual data, spanning various durations, resolutions, and aspect ratios.
- One challenging aspect addressed by OpenAI in Sora is maintaining consistency with the subject, even when it temporarily disappears from view, while also preserving visual style. This is achieved by allowing the model to process multiple frames simultaneously, providing it with some predictive ability to anticipate and plan for future events.
- OpenAI has showcased several impressive videos created with Sora, including historical footage of California’s gold rush era, a stylish woman strolling through a Tokyo street, and playful scenes of golden retrievers in the snow. However, OpenAI acknowledges that some generated videos may display unrealistic movements, such as a person walking in the wrong direction on a conveyor belt or sand transforming into a chair with counterintuitive motion.
- Currently, Sora is unavailable to the general public as OpenAI is focused on enhancing its safety measures. This involves rejecting text prompts containing extreme violence, sexual content, hateful imagery, or potential infringements on third-party intellectual property or celebrity privacy rights. OpenAI is collaborating with experts to test the model’s limitations in areas such as misinformation, hateful content, and bias.
- Despite extensive research and testing, OpenAI acknowledges the unpredictability of their technology’s beneficial and harmful applications. They emphasize the importance of learning from real-world usage to continuously improve and ensure the safety of AI systems over time.
- OpenAI plans to implement safety measures developed for DALL-E-3 into Sora, as well as utilize C2PA metadata to identify videos generated through AI.
- Sora is not the first AI model to generate videos from text prompts to enter the market. Other solutions include Runway, Pika, Stability AI, Google Lumiere, and others.
- As observed by some commentators on Hacker News, demo videos presented by OpenAI are likely carefully selected to showcase the model’s capabilities at their best. Results may vary when attempting to generate videos from particular prompts, and initial user-generated videos may exhibit lower quality and detail. Nonetheless, these observations do not diminish the impressiveness of Sora and its potential impact in the text-to-video generation field.
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