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OpenAI has introduced its video generation tool, Sora, to the UK and EU countries, including Switzerland, Norway, Liechtenstein, and Iceland.
The AI startup showcased Sora in February 2024 and released the model to ChatGPT Plus and Pro users in December. According to the company, Sora’s primary objective is to train models that facilitate problem-solving through real-world interaction.
Sora was built upon past research in DALL-E and GPT models. The model employed a recaptioning technique from the former. Recaptioning involves generating descriptive captions for visual data training, enabling the model to follow users’ text instructions in generated videos faithfully.
As noted by The Guardian, Sora had already drawn significant attention in the United States, with film industry figures like Tyler Perry expressing concerns about its impact on traditional production methods. Perry even halted an $800 million expansion of his Atlanta studio, citing concerns that AI tools like Sora could make physical set construction and location shoot obsolete.
With its UK release, OpenAI showcased the tool’s potential through collaborations with European artists.
The launch has also added to the ongoing copyright debate. Filmmakers argued that Sora’s existence is based on stolen goods, as the training data includes unlicensed copyrighted material.
OpenAI maintains that its use of copyrighted material complies with legal frameworks, stating that Sora was trained on a diverse range of datasets, including publicly available sources. The company previously acknowledged that access to copyrighted content is crucial for training advanced AI models.
In India, Bollywood music labels, including T-Series, Saregama, and Sony Music and news publishers such as Indian Express, NDTV, ANI and others sued OpenAI for copyright violations.
There is an ongoing debate about the training of AI models. The violation of intellectual property of artists and journalists has become a major concern. Meanwhile, countries like India are in the process of developing their in-house AI, further compounding concerns about data training.
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