Google announced a major overhaul of its Search engine, transitioning from a list of links to an AI-driven experience. The update introduces conversational answers, autonomous agents, and interactive interfaces. This shift is expected to reduce traffic to publishers across the web.

The new Search experience leverages Google's advanced language models to generate direct answers to user queries. Instead of presenting a list of links, the system provides synthesized responses that draw from multiple sources. Users can ask follow-up questions and receive coherent, context-aware replies.

Autonomous agents are another key component of the redesign. These AI systems can perform tasks on behalf of users, such as booking reservations or making purchases. The agents operate within the search interface, streamlining complex workflows without requiring users to visit multiple websites.

Interactive interfaces will allow users to refine results through dynamic elements like sliders and dropdowns. For example, a search for "best laptops" might include filters for price range, brand, and specifications, with results updating in real time. This approach aims to keep users within Google's ecosystem longer.

The company emphasized that these changes are designed to improve user experience by providing faster, more accurate answers. However, the shift poses challenges for publishers who rely on search traffic. Google acknowledged that click-through rates to external sites may decline as users find answers directly on the search results page.

Google plans to roll out the new features gradually, starting with a limited set of queries in the United States. The company will test the system with a small percentage of users before expanding. No specific timeline was provided for a broader release.

Publishers have expressed concern about the potential impact on their revenue. Google stated it will continue to prioritize high-quality content and may introduce new ways for publishers to appear in AI-generated answers. The company also noted that it will provide tools for publishers to manage how their content is used.

The transformation marks a significant departure from Google's traditional search model, which has been the primary driver of web traffic for decades. As AI becomes more integrated into search, the relationship between Google and content creators is likely to evolve further.

Google has begun rolling out a new feature called AI agents, designed to monitor specific topics and send users proactive alerts when updates occur. The system operates in the background, tracking changes across web sources without requiring manual searches. Users can set up these agents to follow subjects like news events, product launches, or research developments.

The AI agents leverage Google's language models to understand user interests and identify relevant changes. Once configured, the agents continuously scan for new information and deliver notifications through Google's existing alert infrastructure. This shifts the search experience from a pull model—where users actively query—to a push model that surfaces updates automatically.

According to Google, the agents are built on the same technology powering its generative search features. They can parse complex queries and discern meaningful updates from noise. For example, a user tracking a specific company's earnings reports would receive alerts only when new financial data is published, not for unrelated press releases.

The rollout began this week for select users in the United States who have opted into Google's Search Labs program. The feature is accessible through the Google app on Android and iOS, as well as desktop browsers. Users can create agents by entering a topic and specifying alert frequency—options include real-time, daily, or weekly digests.

Google emphasized that the agents respect user privacy and do not store personal data beyond what is necessary for alert configuration. The company also noted that users retain full control over which topics are monitored and can pause or delete agents at any time. Alerts are delivered via the Google app notifications or email, depending on user preference.

This launch comes as Google faces increasing competition from AI-powered search tools like Perplexity and Microsoft's Copilot. By offering proactive monitoring, Google aims to differentiate its search ecosystem and deepen user engagement. The company plans to expand the feature to more regions and languages in the coming months.

Early testers have reported mixed results, with some praising the convenience of automated tracking while others noted occasional irrelevant alerts. Google acknowledged that the system is still learning and will improve over time based on user feedback. The company encouraged users to provide feedback through the Search Labs interface.

Google's AI agents are available now for Search Labs participants in the US. The feature is free to use and does not require a subscription. Google stated that it will continue to refine the agents' accuracy and expand their capabilities based on user needs.

Google announced Gemini 3.5 Flash during its annual developer conference, marking a strategic shift toward autonomous AI agents rather than conversational chatbots. The company described the model as its most capable offering for coding and agentic workflows.

Gemini 3.5 Flash is designed to execute complex tasks independently, including building software applications from the ground up. Google emphasized the model's ability to reason through multi-step problems and take actions without human intervention.

The model represents a departure from earlier AI products that focused primarily on text generation and question-answering. Google's leadership framed the release as a move toward more practical, action-oriented AI systems.

Developers will gain access to Gemini 3.5 Flash through Google's AI platform, Vertex AI, and via the Gemini API. The company highlighted the model's improved performance on coding benchmarks compared to previous versions.

Google also introduced new safety features tailored for agentic AI, including guardrails to prevent unintended actions. The company stated that these measures are critical as AI systems gain the ability to interact with external tools and services.

Pricing for Gemini 3.5 Flash will be competitive with other high-performance models, though specific rates were not disclosed at the event. Google plans to offer tiered access based on usage volume.

The release comes as competitors like OpenAI and Anthropic also push toward agentic AI capabilities. Google's strategy appears to focus on integrating these agents deeply with its cloud ecosystem and developer tools.

Gemini 3.5 Flash is available immediately for developers in preview. Google expects to roll out broader access in the coming months, with a general availability date yet to be announced.

Google DeepMind has announced the integration of Street View with Project Genie, a move that enables the creation of immersive, interactive world simulations. The technology is designed to support applications in robotics, gaming, and virtual travel. Users can navigate through simulated environments that include dynamic elements such as weather changes and rare scenarios.

The integration leverages the vast dataset of Street View imagery to train Genie's world model. This model can generate realistic, interactive 3D environments from static images. The system can simulate various conditions, including different times of day, weather patterns, and even uncommon events like accidents or natural disasters.

DeepMind researchers highlighted that the model can extrapolate beyond the original Street View data to create plausible variations of real-world locations. This capability is particularly valuable for training autonomous systems, such as self-driving cars, in a safe and controlled virtual setting. The simulations can also be used for urban planning and disaster response training.

For gaming and entertainment, the integration opens up possibilities for creating detailed, explorable virtual worlds based on real places. Users could virtually visit cities, landmarks, or remote areas with the ability to interact with the environment. The system supports real-time rendering, allowing for smooth navigation and interaction.

The project is part of DeepMind's broader efforts to build general-purpose world models that can understand and simulate the physical world. Genie, initially introduced as a model for generating interactive environments from text or images, now gains the ability to incorporate real-world data from Street View.

DeepMind has not announced a specific release date for the integrated system. However, the company stated that the technology is being tested internally and with select partners. Pricing details have not been disclosed, and the system is expected to be available through Google Cloud services.

The integration of Street View with Genie represents a significant step in making AI-generated simulations more realistic and useful. By grounding simulations in real-world data, DeepMind aims to bridge the gap between virtual and physical environments. The company emphasized that the technology adheres to privacy and data usage policies, ensuring that Street View imagery is used responsibly.