Can New AI Tools Transform Search Despite Reliability Concerns?

The recent advances in artificial intelligence from Google and Microsoft have sparked significant interest. Their new tools, Gemini 2.5 and Copilot, offer users innovative ways to conduct searches using voice, image, or text.

Tests reveal that while these platforms perform well for straightforward inquiries, they tend to falter with more intricate questions, raising concerns about the reliability of AI-generated responses. Notably, Copilot's answers can be swayed by certain web pages, highlighting potential biases in its algorithms.

Despite these shortcomings, both companies aim to enhance their offerings, with promises of future updates that may include personal task management features. Additionally, Google's Gemini 2.5 Deep Think model showcases remarkable reasoning capabilities, having recently achieved accolades in academic competitions.

This illustrates the ongoing evolution of AI technologies, which are set to reshape how users interact with information online, while also emphasizing the necessity for continuous improvement in accuracy and functionality.