AI text-to-video generators, such as Meta’s Make-A-Video, have garnered attention as the next frontier in AI content generation. This AI model allows users to input a description of a scene and generates a short video accordingly. Although the videos are clearly artificial, they represent a significant advancement in the field. Meta’s CEO, Mark Zuckerberg, described the work as impressive progress, acknowledging the challenges of generating video content. The potential applications of video generation tools are immense, but there are also concerns about their misuse, such as misinformation and nonconsensual pornography. Meta intends to be thoughtful about the development of generative AI systems and is currently publishing a paper on Make-A-Video. Other institutions, like Tsinghua University and the Beijing Academy of Artificial Intelligence, are also working on text-to-video models. The Make-A-Video model is trained on image and caption pairs as well as unlabeled video footage from various datasets. However, the model has limitations in terms of blurry footage, disjointed animation, and inability to learn certain information inferred by humans. Additionally, there are concerns about social biases learned by the model, but without open access, it is difficult to determine the extent of these biases. Meta is committed to sharing its research and results with the community and refining its approach to this emerging technology responsibly.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| AI text-to-video generators | Advancement in AI technology | More advanced and realistic video generation | Push for creative expression and content creation |
| Potential for harmful applications | Ethical implications | Stricter regulations and safeguards | Concerns over misinformation and harassment |
| Multiple institutions working on AI | Increased competition | More advanced and diverse text-to-video models | Desire to improve technology and capabilities |
| Technical limitations of AI model | Improvement in AI technology | Longer videos, multiple scenes, higher res | Push for better performance and capabilities |
| Biases and social prejudices | Addressing social biases | Reduction of biased outputs | Focus on responsible AI and refining approach |