According to DeepLearning.AI, Meta has launched a comprehensive open-weights image segmentation suite featuring SAM 3 for segmenting images and videos—including from text prompts—SAM 3D Objects for converting segmented items into 3D meshes or gaussians using point clouds, and SAM 3D Body for generating full 3D human figures. Meta’s internal tests indicate these models surpass most competitors in both segmentation accuracy and 3D reconstruction quality. All models are accessible online with downloadable weights under the Meta license, offering businesses and developers practical tools for advanced computer vision and AI-driven content creation. (Source: DeepLearning.AI, Dec 8, 2025)

According to DeepLearning.AI, Andrew Ng emphasized that declining public trust in artificial intelligence is a significant industry challenge, urging the AI community to directly address concerns and prioritize applications that deliver real-world benefits (source: DeepLearning.AI, The Batch, Dec 4, 2025). Meanwhile, Meta released SAM 3, which can transform images into 3D scenes and people, advancing generative AI capabilities for sectors like gaming and virtual reality. Marble introduced a system for creating editable 3D worlds from text, images, and video, opening new business opportunities in interactive content creation. Baidu launched an open vision-language model along with its large-scale multimodal Ernie 5.0, strengthening its position in the Chinese AI ecosystem and expanding use cases in enterprise AI solutions. Additionally, RoboBallet demonstrated coordinated control of multiple robotic arms, highlighting automation potential in manufacturing and performing arts. These developments underscore the rapid evolution of generative and multimodal AI, with significant implications for business innovation and public adoption (source: DeepLearning.AI, The Batch, Dec 4, 2025).