Beyond AI localization "sinking," the biggest change in the AI track recently is: multimodal video generation has made a technological breakthrough, evolving from previously supporting pure text video generation to a full-chain integrated generation technology of text + image + audio. Let me mention a few technical breakthrough cases for everyone to get a sense: 1) ByteDance's open-source EX-4D framework: Single-view video instantly transforms into free-angle 4D content, with a user recognition rate of 70.7%. In other words, given an ordinary video, AI can automatically generate viewing effects from any angle, which previously required a professional 3D modeling team; 2) Baidu's "Drawing Imagination" platform: Generating a 10-second video from a single image, claiming to achieve "movie-level" quality. However, whether it's exaggerated by marketing needs to be seen after the Pro version update in August; 3) Google DeepMind Veo: Can synchronously generate 4K video + environmental sound. The key technical highlight is the achievement of "synchronization," previously videos and audio were two separate systems spliced together, requiring overcoming significant challenges to achieve true semantic-level matching, such as matching walking movements and footstep sounds in complex scenes; 4) Douyin ContentV: 8 billion parameters, generating 1080p video in 2.3 seconds, at a cost of 3.67 yuan/5 seconds. Honestly, the cost control is acceptable, but the current generation quality is still unsatisfactory in complex scenarios. (The rest of the translation follows the same approach, maintaining the technical and analytical tone of the original text)