Last week, Google notified Android users about changes coming to Gemini, effective July 7. The tech giant revealed that Gemini will interact with apps like Phone, Messages, WhatsApp, and Utilities even if Gemini Apps activity is disabled. This means Google will store user data, including WhatsApp chat content, for up to 72 hours, regardless of user preferences. While this update enhances Gemini’s functionality—allowing it to read and respond to WhatsApp messages—it raises privacy concerns for those who prefer not to share personal chat data. Users seeking to disable Gemini Apps activity can do so by opening the Gemini app, tapping their profile picture, and toggling off the feature. It’s important to note that Google will still retain data for security purposes. To restrict Gemini’s access, users can select specific apps or fully disable Gemini on their devices to prevent tracking.
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Google Gemini Can Access Your WhatsApp Chats—Here’s How to Disable It | Technology News
Robinhood Announces OpenAI Stock Tokens Supported by a Special Purpose Vehicle
In a recent CNBC interview, Robinhood CEO Vlad Tenev clarified that the tokens offered for OpenAI do not represent actual equity but are instead backed by Robinhood’s investment in a special purpose vehicle. OpenAI previously cautioned that these tokens do not equate to equity ownership, emphasizing that any equity transfers would require their approval, which has not been granted. Tenev noted that while these tokens aren’t technically equity instruments, they provide retail investors with the opportunity to gain exposure to OpenAI. This model isn’t new; other platforms like Linqto have also offered pre-IPO shares through similar structures. However, Linqto’s recent bankruptcy has raised concerns regarding the ownership rights of its investors. Ripple CEO Brad Garlinghouse has distanced Ripple from Linqto, highlighting the need for caution in such investments. For more details, visit our site on Robinhood’s unauthorized tokenized equity sales.
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OpenAI and Microsoft Launch Academy to Empower Teachers in AI Education – Tech in Asia
OpenAI and Microsoft have collaborated to support an academy focused on training teachers in artificial intelligence (AI). This initiative aims to empower educators with the knowledge and skills necessary to integrate AI into their teaching practices. By providing resources and training, the academy seeks to enhance educational outcomes and better prepare students for a future in a technology-driven world. Teachers will learn how to effectively utilize AI tools, fostering innovation and creativity in the classroom. This partnership highlights the importance of equipping educators with the latest technological advancements, ensuring they can deliver a modern curriculum. As AI continues to evolve, initiatives like this are crucial for integrating cutting-edge technology into education. The collaboration exemplifies a commitment to advancing educational practices and harnessing AI’s potential for transformative learning experiences. Through this initiative, OpenAI and Microsoft are paving the way for a new era in teaching, making resources more accessible and relevant.
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OpenAI Welcomes xAI Data Center Engineers – The Information
OpenAI has recently expanded its engineering team by hiring data center engineers from xAI, enhancing its infrastructure capabilities. This strategic move aims to boost operational efficiency and support the growing demands of its AI technologies. By integrating expertise from xAI, OpenAI seeks to strengthen its data management systems, ensuring robust performance and reliability. The hiring reflects OpenAI’s commitment to innovation and scaling its operations to accommodate an increasing user base. This transition is expected to improve the overall deployment of AI models, thereby enhancing user experience. As demand for AI solutions continues to rise, OpenAI’s focus on building a skilled team underscores its dedication to maintaining a competitive edge in the tech industry. Integrating new talent is crucial for driving advancements in AI research and application, and this strategic recruitment aligns with OpenAI’s long-term goals of delivering cutting-edge artificial intelligence solutions.
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Cloudflare Launches Pay Per Crawl Initiative to Automatically Block AI Crawlers
Cloudflare Takes a Stand Against AI Crawlers: A New Era in Web Security
In a bold move, Cloudflare has announced it will block AI crawlers by default as part of its new pay-per-crawl initiative. This policy shift aims to safeguard website content and ensure that data is accessed responsibly in a rapidly evolving technological landscape.
Key Highlights:
- Enhanced Security: Protects websites from unauthorized scraping and data misuse.
- Pay-Per-Crawl Model: Introduces a transparent pricing structure for AI-driven data access.
- Industry Impact: Sets a precedent for other companies in the tech space to consider similar measures.
This initiative reflects growing concerns about the ethical use of AI and the need for more robust digital safeguards. By prioritizing the protection of online content, Cloudflare is advocating for responsible AI development.
Join the conversation! What are your thoughts on this new policy? Share your insights and let’s explore how these changes will shape the future of access and security in AI.
Alphabet (GOOGL) Unveils Gemini 2.5: Key Insights from Insider Monkey
Google’s parent company, Alphabet Inc. (GOOGL), has unveiled its latest artificial intelligence initiative, Gemini 2.5, aiming to enhance user experiences across its platforms. This updated AI model is designed to improve the functionality of various applications, including Google Search and Google Workspace, by offering faster responses and more accurate information. Gemini 2.5 enhances multimodal capabilities, allowing it to process text and images simultaneously, which is expected to elevate content creation and comprehension. Moreover, this rollout is part of Alphabet’s broader strategy to integrate advanced AI solutions across its ecosystem, promoting innovation and efficiency. As competitors ramp up their AI efforts, Gemini 2.5 positions Alphabet as a leader in the AI landscape, strengthening its market presence. Businesses and consumers alike can anticipate improved productivity and engagement through these advancements. This strategic move highlights Alphabet’s commitment to leveraging cutting-edge technology to shape the future of digital interactions.
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घर से लाखों कमाए! 5 AI Tools जो आपको बनाएंगे Freelancer का बादशाह | Paisa Live
Before investing in the Arisinfra Solutions IPO, it’s crucial to understand key factors such as the Grey Market Premium (GMP), allotment details, price band, and a comprehensive review. The GMP provides insights into the expected listing price versus the issue price, aiding in investment decisions. The allotment process determines how shares are distributed among investors, impacting potential gains. Additionally, the price band sets the upper and lower limits for the IPO, guiding investors on the investment range. A detailed review of the company’s fundamentals, market position, and performance forecasts will further inform your decision. Analyzing these elements ensures a well-informed investment approach in the Arisinfra Solutions IPO, maximizing potential returns while minimizing risks. Stay updated with market trends and expert opinions to make the best investment choice.
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Master AI-Powered Viral Shorts for YouTube and TikTok in Minutes: The Definitive 2025 Guide
Unlock the secret to creating viral AI-powered Shorts for YouTube and TikTok with our ultimate 2025 guide! This comprehensive resource equips you with essential tips and techniques to craft engaging short-form videos that capture attention and boost your online presence. Discover how AI tools streamline video editing, enhance creativity, and optimize content for maximum reach. Learn targeted strategies for leveraging trending hashtags, appropriate video lengths, and effective storytelling to increase viewer retention and engagement. Explore practical examples of successful brands and creators, along with insights on analyzing performance metrics to refine your content strategy. Engage your audience and drive higher shares and likes by tapping into audience preferences and algorithm insights. Whether you’re a beginner or an experienced creator, this guide empowers you to produce compelling Shorts that stand out in the crowded digital landscape. Start creating viral content that resonates with viewers today!
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Leveraging AI in Trading: Is It Possible for AI to Recommend Stock Purchases?
Leveraging Artificial Intelligence (AI) in stock trading can streamline research and enhance decision-making. AI tools can swiftly process vast amounts of market data, helping identify trading opportunities and analyze stocks by combining current sentiment, historical patterns, and technical performance. While they can assist with stock screening, generating trading signals, and asset allocation, it’s crucial to remember that AI should complement—not replace—your judgment.
Investors can utilize AI to build custom indicators and backtest strategies under various market conditions. Automating trades can save time, but there’s potential for inaccuracies if the data is flawed. Risk management remains essential, as AI does not guarantee profits, and it is prone to data privacy and security concerns. Therefore, when considering AI-powered investing apps and platforms like AInvest or Trade Ideas, start cautiously, maintain a skeptical outlook on lofty promises, and focus on informed trading strategies.
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Exploring 50+ Multilingual AI Models: Uncovering 3 Key Challenges to Achieving Global Fairness
A recent survey by researchers at Beijing Foreign Studies University highlights challenges faced by multilingual large language models (MLLMs) in AI advancement. Key hurdles identified include uneven training data, imperfect cross-language alignment, and inherent biases that may compromise fairness and accuracy for global language speakers. Professor Yuemei Xu emphasizes the need for balanced, diverse data to create equitable systems for over 100 languages, crucial for sectors like education, healthcare, and legal support. The analysis of over 50 MLLMs reveals that most models are biased towards high-resource languages like English, impacting performance on low-resource languages. The survey aims to establish a roadmap for enhancing multilingual AI by advocating for high-quality multilingual datasets, effective alignment methods, and robust bias detection strategies. Published in Frontiers of Computer Science, this research serves as a blueprint for developing a more inclusive, capable global AI landscape.