According to DeepLearning.AI, researchers from Tencent, Xiamen University, and Fudan University have introduced FlashWorld, a new model capable of generating high-quality, coherent 3D scenes from text or images within seconds. The innovation leverages a hybrid of 2D-first and 3D-direct methods, streamlining the multi-step diffusion process to accelerate scene generation. This advancement holds significant potential for industries such as gaming, virtual reality, and digital content creation, as reported by DeepLearning.AI.

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).