The cloud of anthropic introduces AI Live Web Search: What does it mean to users. Mint

AI company Anthropic has rolled out a web search function for its assistant, cloud, which is capable of drawing real -time information from the Internet. This feature is currently designed to improve reaction accuracy on subjects requiring recent data in preview for users paid in the United States.

Anthropic suggests that the search function allows the cloud to cite direct sources, giving users the ability to verify the information. Instead of manually searching online, users receive summarized insight into the interactive format.

This facility is expected to be implemented in many industries. According to the company, sales teams can monitor market trends, track financial analysts can track income reports, and researchers can reach primary sources for studies. Consumers can also compare product details and reviews before shopping.

Currently, web search integration is limited to users paid in the United States, plans to expand access to free users and other areas with future plans. Users can activate the feature by adjusting their profile settings before using Cloud 3.7 sonnet.

This development aligns with a comprehensive tendency to incorporate live data access to AI assistants, as companies refine the equipment for real -time information recovering.

Last month, Anthropic launched its latest language model, Cloud 3.7 sonnet, which took to the choice of chat and deepsek. Anthropic also took its first step towards AI agents, which is called a cloud code with a new tool for developers.

In particular, Cloud moved away from the traditional story of being a pre-eminent model and an independent logic model. Instead, the Dario Amodi-LED company has integrated the frontier model as well as the Reasoning Model, which means that users can only ask the chatbot that when they want to think for a long time before they respond, the essentially trigger the argument mode where it reflects themselves before answering Querry.

Claude said that triggering logic mode (or as they call it, “extended thinking mode”) helps improve the performance of models in mathematics, physics, instructions and coding among many other functions.