Google’s Gemini 3 Makes Search Smarter
▼ Summary
– Google has launched Gemini 3, its most advanced AI model to date, featuring enhanced reasoning, multimedia, and coding capabilities.
– The company is integrating Gemini 3 into existing products like Google Search, Maps, and Gmail to improve them and drive business value.
– Google’s CEO acknowledges the AI market appears inflated but believes the company is insulated due to its broad product portfolio and pioneering research.
– New AI tools such as NotebookLM and AI Studio are being developed, with potential applications in gaming and robotics for future growth.
– Google is responding to competition from ChatGPT by leveraging Gemini 3 in AI Overviews and visual search, which have seen significant increases in user engagement.
Google’s latest artificial intelligence model, Gemini 3, represents a significant leap forward in smart technology, integrating advanced reasoning, multimedia interpretation, and coding capabilities directly into the company’s ecosystem. Rather than functioning as a standalone chatbot, this new system is engineered to enhance existing Google services, starting with its highly profitable search platform. The goal is to make everyday digital interactions more intuitive and efficient for users worldwide.
Demis Hassabis, CEO of Google DeepMind, emphasized the strategic importance of this integration. He described his team as the “engine room of Google,” noting that artificial intelligence is now being embedded across the company’s entire product lineup. While acknowledging that the broader AI sector may appear overvalued, with startups commanding massive investments and data center expansion raising concerns, Hassabis expressed confidence in Google’s resilience. He pointed out that even if market enthusiasm wanes, Google’s diverse portfolio, including AI-enhanced versions of Google Maps, Gmail, and Search, provides a sturdy buffer against volatility.
In more optimistic scenarios, Hassabis believes Google’s broad research initiatives and product integration give it a competitive edge. Beyond improving established tools, the company is also developing new applications like NotebookLM, which can transform text into audio formats such as podcasts, and AI Studio, a platform for rapidly prototyping AI-driven applications. Looking further ahead, Google is exploring how AI can revolutionize gaming and robotics, fields where long-term investment could yield substantial returns regardless of short-term market shifts.
Gemini 3 is now accessible through the Gemini app and within AI Overviews, a feature in Google Search that synthesizes information alongside traditional results. During recent demonstrations, Google illustrated how the model can respond to complex queries, like a question about the three-body problem in physics, by generating custom interactive visualizations in real time. This ability to produce dynamic, context-aware answers marks a notable evolution in how users can retrieve and interact with information.
Robby Stein, Vice President of Product for Google Search, reported a consistent year-over-year increase in natural language queries, many of which appear tailored for AI Overviews. He also highlighted a 70 percent surge in visual searches, a trend powered by Gemini’s sophisticated image analysis features. This growth underscores a broader shift toward multimodal and conversational search behaviors among users.
Despite Google’s long-standing leadership in AI research, including its foundational work on the transformer architecture that underpins most modern language models, the rapid ascent of ChatGPT in 2022 presented an unexpected challenge. Not only did OpenAI’s chatbot capture public attention, but it also introduced a new model for web search that threatened Google’s core operations. In response, Google has accelerated its own AI deployments, aiming to blend cutting-edge innovation with the reliability and scale its users depend on.
(Source: Wired)
