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Showing posts with label Contextual AI. Show all posts

Google Testing ‘Contextual Suggestions’ Feature for Wider Android Rollout

 



Google is reportedly preparing to extend a smart assistance feature beyond its Pixel smartphones to the wider Android ecosystem. The functionality, referred to as Contextual Suggestions, closely resembles Magic Cue, a software feature currently limited to Google’s Pixel 10 lineup. Early signs suggest the company is testing whether this experience can work reliably across a broader range of Android devices.

Contextual Suggestions is designed to make everyday phone interactions more efficient by offering timely prompts based on a user’s regular habits. Instead of requiring users to manually open apps or repeat the same steps, the system aims to anticipate what action might be useful at a given moment. For example, if someone regularly listens to a specific playlist during workouts, their phone may suggest that music when they arrive at the gym. Similarly, users who cast sports content to a television at the same time every week may receive an automatic casting suggestion at that familiar hour.

According to Google’s feature description, these suggestions are generated using activity patterns and location signals collected directly on the device. This information is stored within a protected, encrypted environment on the phone itself. Google states that the data never leaves the device, is not shared with apps, and is not accessible to the company unless the user explicitly chooses to share it for purposes such as submitting a bug report.

Within this encrypted space, on-device artificial intelligence analyzes usage behavior to identify recurring routines and predict actions that may be helpful. While apps and system services can present the resulting suggestions, they do not gain access to the underlying data used to produce them. Only the prediction is exposed, not the personal information behind it.

Privacy controls are a central part of the feature’s design. Contextual data is automatically deleted after 60 days by default, and users can remove it sooner through a “Manage your data” option. The entire feature can also be disabled for those who prefer not to receive contextual prompts at all.

Contextual Suggestions has begun appearing for a limited number of users running the latest beta version of Google Play Services, although access remains inconsistent even among beta testers. This indicates that the feature is still under controlled testing rather than a full rollout. When available, it appears under Settings > Google or Google Services > All Services > Others.

Google has not yet clarified which apps support Contextual Suggestions. Based on current observations, functionality may be restricted to system-level or Google-owned apps, though this has not been confirmed. The company also mentions the use of artificial intelligence but has not specified whether older or less powerful devices will be excluded due to hardware limitations.

As testing continues, further details are expected to emerge regarding compatibility, app support, and wider availability. For now, Contextual Suggestions reflects Google’s effort to balance convenience with on-device privacy, while cautiously evaluating how such features perform across the diverse Android ecosystem.

AI Startup by Dhravya Shah Gains $3 Million Investment and O-1 Visa Recognition

 


As one of the youngest innovators in the global tech landscape, Mumbai-born innovator Dhravya Shah is just 20 years old and makes a big impact in the industry every day. It was Shah’s unconventional decision to move away from the traditional path of IIT preparation to pursue his ambitions abroad that has ultimately culminated in remarkable success, challenging conventional thinking. 

There has been a significant amount of interest in his artificial intelligence venture, Supermemory, with investors and the global AI community both paying close attention to this venture. As a pioneering platform for the enhancement of the memory capabilities of artificial intelligence systems, Supermemory has already been adopted by a large number of companies and developers to develop advanced applications on its platform. 

Shah describes his vision for the project as "my life's work" in a new post on the social network X. Shah's vision reflects a rare blend of ingenuity, entrepreneurial spirit, and technical savvy-qualities that have quickly positioned him as one of the most promising young minds shaping the future of AI. 

Artificial intelligence continues to advance the limits of contextual understanding as more and more advances are made, and researchers are continuously working to enhance the ability of models to retain information for extended periods of time, a challenge which will continue to be important in order for truly intelligent systems to evolve. It was in this dynamic environment that Dhravya Shah was beginning to make her way through life. 

While Shah was a teenager in Mumbai, he displayed an early interest in technology and consumer applications, a passion which set him apart from the rest of his peers. In contrast to the rest of the students of his age, who were engrossed in studying for India's notoriously competitive engineering entrance exams, he devoted his time to coding and experimenting.

When he persevered and developed a Twitter automation tool—a platform that turned tweets into visually engaging screenshots—he ultimately sold it to a leading social media management company, Hypefury—an organization that is widely known for its social media automation tools. 

By selling his company, he not only validated his entrepreneurial instincts, but also provided him with the financial means to further his academic ambitions in the United States, where he was accepted into Arizona State University, marking the beginning of his global technology and innovation journey. He has been recognized as both ambitious and successful in his career in the United States. 

Shah was granted the prestigious O-1 visa, which is an exceptionally rare honor awarded to individuals who demonstrate extraordinary abilities in such fields as science, business, education, athletics, or the arts, a distinction reserved only for the most extraordinary innovators and creators in the world. Shah, who is among the youngest Indians to be given such an honor, stands out as a remarkable accomplishment. 

As a result of a desire to challenge himself and sharpen his creative instincts, he embarked on a personal mission in which he was going to build a new project every week for 40 weeks in order to refine his creativity. As a result of these experiments, the early version of Supermemory emerged, originally dubbed Any Context. It was a tool designed to allow users to interact with the bookmarks they had on Twitter. 

Shah's career development has further been accelerated by his tenure at Cloudflare in 2024, during which he contributed to AI and infrastructure projects, and then advanced to an administrative role at Cloudflare in 2024. After initially developing a simple idea, he has since developed a sophisticated platform that allows AI systems to gain insight from unstructured data. This has enabled AI systems to comprehend and retain context effectively. 

While he was in this period, he received mentoring from industry leaders, including Cloudflare's Chief Technology Officer Dane Knecht, who encouraged him to develop Supermemory into a fully-formed product. Shah decided to pursue this endeavor full time due to Shah's conviction that the technology had great potential and to his own conviction that it had great potential. This marked the start of a new chapter in Shah's entrepreneurial career, which has helped shape the future of contextual artificial intelligence. 

It is Shah's vision that Supermemory will redefine how artificial intelligence processes and retains information. Supermemory is the centerpiece of Shah's vision. While many AI models are incredibly capable of generating responses, they remain limited by the fact that they cannot recall previous interactions. As a consequence, their contextual understanding and personalized capabilities are restricted. 

Using Supermemory, AI systems will be equipped with the capability of storing, retrieving, and utilizing information that was previously discussed in a secure and structured manner, which will allow them to overcome the problem of long-term memory. Shah and his growing team are announcing a significant milestone by raising $3 million, which underscores investor confidence in their approach to solving one of the biggest challenges AI faces. 

There is a dynamic memory layer under Supermemory, which is a part of the technology that powers Supermemory, which can be used alongside large language models such as GPT and Claude. It connects externally, so that the models can recall stored data whenever necessary—whether it relates to user preferences, historical context, or previous conversations—rather than altering them themselves. 

Using an external memory engine, as a central component of this architecture, the system supports both scalability as well as security, making the architecture adaptable across a wide range of AI ecosystems. The external memory engine functions independently of the core model so that strict control over data access and privacy can be maintained. 

Supermemory's engine is used to retrieve and supply contextual information to an AI model in real-time when a query is sent to it, thereby enhancing performance and continuity. In addition to enhancing performance, this approach gives developers an integrated solution for building smarter, context-aware applications that have the capacity to sustain meaningful interactions over a prolonged period of time. 

It is apparent that Supermemory's growing influence is reflected in its rapidly expanding clientele, which already includes Cluely, which is backed by Andreessen Horowitz (a16z); Montra, which is a video editing platform powered by artificial intelligence; and Scira, a search tool powered by artificial intelligence. Furthermore, the company is also working with a robotics firm to develop systems that allow robots to retain visual memories in order for robots to work efficiently. 

The technology can be applied to many industries, highlighting its broad applicability. It is the low latency architecture, according to Supermemory's founder Dhravya Shah, which differentiates the company from its competitors in a crowded AI landscape, offering faster access to stored context and smoother integration with existing models, those benefits being crucial to Supermemory's success. 

This is a confidence shared by investors who, according to Joshua Browder, believe that the platform has a high level of performance, rapid retrieval capabilities, and that this is a compelling solution for AI companies who need to create a memory layer that is both efficient and reliable. According to experts, Supermemory falls into an evolution in artificial intelligence where memory, reasoning, and learning come together to create systems that feel inherently more human in nature. 

Using Supermemory as a tool to enable artificial intelligence to remember, understand, and adapt, Supermemory will enable people to have more individualized, consistent, and emotional digital experiences, including virtual tutors and assistants and health and wellness companions. As much as the startup's technological potential is impressive, it represents a new generation of Indian founders making their mark on the global AI stage. 

Rather than just participating in the future, these young innovators are actively defining it as well. A testament to Shah’s perseverance, calculated risk-taking, and relentless innovation can be found in Supermemory’s story, which continues to unfold as the company continues to evolve. His journey from coding in Mumbai to building a global recognition of AI company in his early twenties shows the changing narrative of India’s technology talent, which increasingly transcends borders and redefines entrepreneurship on an international scale in the process. 

In the age of generative artificial intelligence, platforms such as Supermemory are being positioned to become critical infrastructure, bridging the gap between fleeting intelligence and lasting comprehension, allowing machines to retain information, remember context, and learn from their experience. Shah’s creation illustrates a future where artificial intelligence interactions could be more engaging, meaningful, and human in nature. 

A smarter application for developers, an even more personalized and efficient enterprise, and a technology that remembers and evolves with users are some of the advantages it brings. With investors rallying around his vision, Dhravya Shah and Supermemory are not merely building a product, they are quietly creating the blueprint for artificial intelligence to take place in the future, where memory will be a fundamental part of meaningful digital intelligence in the future.