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Baidu transforms search with AI upgrades and smart features

July 3, 2025•Unknown•Original Link•2 minutes
Artificial Intelligence
Baidu
Search Technology

Baidu has upgraded its search platform with AI, introducing a smart box that handles complex tasks beyond traditional queries.

Beijing, China – Baidu, a leading player in China's artificial intelligence (AI) sector, has announced sweeping changes to its core internet search service, marking the most significant update in a decade. The company is leveraging its AI capabilities to transform the traditional search experience into a more dynamic and multifunctional tool.

Key Upgrades:

  • Smart Search Box: Baidu has enlarged its mobile app's search bar, turning it into a "smart box" that supports long-text input and complex queries. This feature can process prompts thousands of words long, far exceeding the limitations of conventional search engines.
  • Multimodal AI Integration: The upgraded search platform integrates Baidu's Ernie AI models and over 18,000 third-party AI agents. These agents autonomously perform tasks such as text and image generation, trip planning, object identification, and research report writing.
  • Task-Oriented Search: The new system shifts from mere information retrieval to assisting users in completing tasks, aligning with Baidu's goal to "expand the boundaries of search."

Future Rollout:

Baidu plans to introduce additional features in phases over the coming weeks, further enhancing the platform's capabilities. The company's statement emphasizes its commitment to redefining search through AI innovation.

Context:

Baidu's move reflects broader trends in the tech industry, where AI is increasingly being integrated into everyday tools to improve functionality and user experience. As one of China's AI champions, Baidu's updates could set a precedent for other search platforms globally.

For more details, visit SCMP's coverage on Baidu.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
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