Yann LeCun recently expressed his views on artificial intelligence processing of video data at the World Economic Forum. He believes that the currently popular generative models are not suitable for video data processing, which represents a new challenge in the field of AI. LeCun emphasized that AI understanding of video should not stop at the pixel level, but should make predictions in a more abstract representation space, and pointed out that understanding causal relationships is crucial for future AI systems, which is also critical for human interaction with the physical world.
In this article, Yann LeCun, speaking at the World Economic Forum, said that currently widely used generative models are not suitable for processing video data. Video data is a new challenge for AI. AI understanding of video cannot rely on prediction in pixel space, but should predict in abstract representation space. He also mentioned the importance of understanding cause and effect in building future AI systems. This is extremely important for human interaction with the physical world.
LeCun's views point out a new path for the future development direction of artificial intelligence, and also highlights the need for further research in video processing and causal understanding. This will promote the application and development of artificial intelligence technology in a wider range of fields and ultimately improve human life.