OpenAI’s newly released AI video generation model Sora has attracted widespread attention. Its realistic video generation capabilities are amazing, but it has also brought controversy about the source of training data. Although the chief technology officer of OpenAI admitted that Sora used public data for training, he did not clarify whether it included data from platforms such as YouTube, which triggered public concerns. Sora's stunning performance also exposed areas for improvement, such as further improvements in video quality and detail processing.
OpenAI's latest achievement, Sora, has triggered controversy among the public about the source of training data. The chief technology officer revealed that Sora is trained on public data, but it is uncertain whether it will use data such as YouTube. Sora generated videos are close to reality and need improvement. OpenAI plans to add an audio generation function to solve the problem of training data sources and cause public concern.
In the future, OpenAI plans to add audio generation functions to Sora, which will not only enhance the immersive experience of the video, but may also partially alleviate public concerns about the source of the data. However, how to balance technological development and data ethics is still a major challenge facing OpenAI, which requires continuous attention and exploration of more transparent and responsible AI model training methods.