Open AI Sora is a highly anticipated text-to-video generation tool that have the game-changing capabilities. Its ability to generate hyper-realistic scenes from text prompts with audio is next to impossible. SORA has already found its way in a lots of social media users heart.
This innovative tool’s ability to create videos based on text prompts sparked interest among followers, who submitted prompts and eagerly awaited the resulting 60-second videos. Sora’s exceptional performance positions it as a top contender in the video generation landscape, with the potential to set new industry standards.
Sora is currently available to only a small group of professionals, including visual artists, designers, and filmmakers, but is ready to be public in the near future.
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CTO Mira Murti on SORA
Mira Murati says, “Sora is ready for the public by “this year,” which means we can expect Sora access in a couple of months.”
Murati also highlighted Sora’s ability to generate videos quickly from simple text inputs, providing insight into its user-friendly functionality in an interview with The Wall Street Journal. She further says, “Sora’s availability is currently limited to a select group of professionals, including visual artists, designers, and filmmakers, but soon will be publicly available.” This indicate that we will be able to access it within a few months.
More About Open AI’s SORA
OpenAI has exciting plans for Sora, as they have already incorporate audio feature into the generated videos. This will help SORA to improve the overall user experience and add a touch of realism.
Murati described the company’s overall vision for Sora, is to see its as a versatile tool for editing and content creation.
In terms of data utilization, Murati clarified that Sora’s training data primarily consists of publicly available or licensed content, drawing images from platforms like Shutterstock.
She also discuss about, Open AI’s commitment to privacy and ethical usage, so that Sora will not create videos featuring public figures and will watermark all outputs as a preventative measure.
