More than a year ago, in November 2022, the North American company OpenAI created by Elon Musk or Sam Altman, among others, launched its ChatGPT text generation artificial intelligence technology. Since its launch, the AI ​​market has diversified and there are few large technology companies that do not have their own.

This week, OpenAI, which already had more applications such as Dall-E image AI, has once again filled the covers with the launch of a new technology.

This is Sora, OpenAI’s AI for generating videos from natural language that has surprised everyone after the first clips with its realism and speed.

The first advances are that the generated videos will have watermarks to identify that they have been created by AI, thus alleviating the problem of possible misinformation that worries many.

The videos that Sora creates at the moment have a duration of 60 seconds through the prompts that users enter. The technology is expected to be available to everyone in the coming months when all security measures are in place.

The value of data in this context can manifest itself in several ways:

• AI training: Sora has been generating and feeding on material for some time, both from publicly accessible videos and from authors who have transferred their rights. The data provides examples of real content that AI can use to learn patterns, styles, and features that it will then replicate in its own creations.

• Improved accuracy and quality: The more data Sora has at its disposal, the better its ability to generate high-quality, realistic videos. The volume and diversity of data used can help avoid bias and improve AI’s ability to produce accurate and varied results.

• Identification of possible misuses: For now, OpenAI has released the technology to a group of academics who will investigate possible misuses and develop measures to mitigate these risks. Analyzing AI behavior and usage patterns can help detect suspicious or malicious activity.

• Implementation of security measures: Assessing data on potential security vulnerabilities and risks can inform the development of appropriate protective measures. This may include identifying potential access points for attacks or tampering, as well as implementing authentication and verification systems to ensure the integrity of AI-generated videos.

In short, the value of data lies in its ability to fuel and improve the functioning of AI, as well as its role in identifying and mitigating risks associated with its use. Intelligent analysis and interpretation of data is essential to ensure the responsible and safe development of AI-based video generation technology.