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 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.

Andrej Karpathy has taken a position at Anthropic, the artificial intelligence company, where he will focus on pre-training. The move was announced by the company on Monday. Karpathy brings extensive experience from his previous roles at OpenAI and Tesla.

Karpathy co-founded OpenAI in 2015 and served as a research scientist there. He later joined Tesla in 2017, where he led computer vision and AI efforts. His work at Tesla included developing the neural networks for the company's Autopilot system.

At Anthropic, Karpathy will contribute to the pre-training of large language models. Pre-training is a critical phase in developing AI systems, where models learn from vast amounts of data before being fine-tuned for specific tasks.

Anthropic is known for its focus on AI safety and alignment. The company has developed models like Claude, which compete with OpenAI's GPT series. Karpathy's expertise in AI research is expected to bolster Anthropic's pre-training capabilities.

Karpathy announced his departure from OpenAI in 2023 after eight years with the company. He had been on a sabbatical since then. His move to Anthropic marks his return to active AI research.

The hiring is seen as a significant addition to Anthropic's team, which includes several former OpenAI employees. Anthropic has been expanding its research efforts to develop more capable and safe AI systems.

Karpathy's role at Anthropic will involve working on improving the efficiency and effectiveness of pre-training methods. This includes exploring new architectures and training techniques to enhance model performance.

Anthropic confirmed the appointment in a statement, expressing enthusiasm about Karpathy joining the team. The company did not disclose further details about his specific projects or timeline.

winning AI giant Demis Hassabis was early Anthropic investor: FT has become a significant development in the technology sector. This advancement signals new momentum in the ai haberleri space and carries important implications for both consumers and industry players.

The technical details surrounding this announcement suggest a deliberate strategy aimed at capturing market share while addressing existing user pain points. Industry analysts note that the timing of this release aligns with broader shifts in how technology is adopted at scale.

From a competitive standpoint, this move places additional pressure on established players who have dominated the segment for years. The introduction of these features could force rivals to accelerate their own roadmaps or risk losing relevance in an increasingly crowded marketplace.

Consumer reactions have been mixed but generally positive, with early adopters highlighting the practical benefits over marketing promises. The focus appears to be on solving real problems rather than introducing novelty for its own sake.

Looking at the broader ecosystem, this development may trigger ripple effects across adjacent categories. Partnerships, supply chains, and developer communities are all likely to feel the impact as adoption scales.

Whether this represents a lasting shift or a temporary market reaction will depend on execution quality and sustained innovation in the coming quarters.}