Anna

AI video is no longer a marketing experiment. In 2026, it’s becoming an operational layer — used for product education, e-commerce conversion, internal enablement, multilingual campaigns, and executive communication. What started as flashy generative demos is now embedding itself into workflows. And China is accelerating this shift faster than most Western markets. The reason isn’t […]

ERNIE 4.5 AI is Baidu’s flagship foundation model for enterprise deployment inside China. Baidu ERNIE 4.5 is embedded across search, cloud, and industry platforms, giving it distribution strength and regulatory alignment advantages in the domestic market. Leaders evaluating ERNIE 4.5 AI should assess it as an integrated enterprise system rather than a standalone large language

DeepSeek Nvidia is not a news cycle topic. It is a capacity question that determines which Chinese AI labs can train frontier models in 2025 and which cannot. Compute access inside China now sits at the intersection of export controls, cloud allocation rules, and software lock-in. That intersection shapes architecture choices, training timelines, and unit

The AI assistant market in 2026 is crowded. You have your general-purpose chat tools, your research engines with citations, and your IDE native coding companions. Kimi AI from Moonshot AI takes a different path. It focuses on completing complex analytical tasks rather than simply generating conversational responses. This distinction matters more now than it did

Hunyuan AI marks Tencent’s shift from single-model releases to a full generative infrastructure layer. Instead of competing on isolated benchmarks, the company is building systems that generate video, images, 3D assets, and interactive content within the same stack. This shift is happening at scale. By 2025, Tencent reported over 150 enterprise integrations of its Hunyuan