Google has strategically rolled out significant AI upgrades, focusing on practical applications rather than flashy announcements. These upgrades include enhanced search capabilities that allow for better comparisons, how-to guides, and open-ended questions, making search more intuitive and user-friendly. Additionally, Google introduced a multimodal search feature that integrates voice, camera, and text inputs, providing personalized recommendations based on user preferences. At their Google Cloud Next event, they unveiled a two-way agent-to-agent protocol, enabling AI agents to communicate and perform tasks independently, showcasing a future of autonomous AI collaboration. Meanwhile, Meta and Microsoft have been in the spotlight with their AI developments. Meta's Llama 4 models, particularly the Llama 4 Scout, have made significant strides in token memory capacity, allowing for extensive data handling and accurate information retrieval. However, Meta faced controversy over alleged performance inflation. Microsoft celebrated its 50th anniversary with AI updates, including memory features for its Co-Pilot assistant and AI-generated content for games, highlighting the evolving landscape of AI applications. Google's approach contrasts with its competitors by focusing on building a comprehensive AI ecosystem that spans business workflows and creative tools, aiming for broad and deep integration rather than competing for headlines.