In July, Google unveiled the groundbreaking AI Edge Gallery app, transforming how users access Artificial Intelligence (AI) on Android devices. This app allows users to run AI models offline, eliminating the need for an internet connection. Key features include image generation, code writing, and smart responses—all processed locally for enhanced speed and data privacy.

Powered by the efficient Gemma 3.1B language model, which is compact yet powerful, the app can swiftly process text, making it ideal for various use cases, including education and personal productivity.

The app’s privacy-first design ensures that personal data remains on the device, greatly reducing risks associated with cloud servers. Currently available as an open-source Android app, Google plans an iOS release soon.

This innovation not only makes AI more accessible without online dependency but also signals a shift towards on-device AI solutions, reinforcing user privacy and influencing future tech trends.

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Pi Network’s recent launch of Pi App Studio marks a significant leap in crypto innovation, enabling users to create decentralized applications (dApps) effortlessly through natural language, with no coding required. Since June 28, 2025, the platform has seen over 7,900 apps developed, reflecting a burgeoning community enthusiasm and a surge in real-world utility. The launch has positively impacted Pi Coin’s value, which experienced a 0.3% increase shortly after, underscoring the growing excitement surrounding the platform’s capabilities.

Notable projects include Ayai, an AI chatbot for interactive discussions, and Universe of Pi, promoting Pi adoption with resources for users. This development signals not just progress towards Pi’s mainnet migration but also potential exchange listings, enhancing its overall credibility. For ongoing updates in crypto, follow us on Google News, and elevate your trading experience with the Pintu crypto app—perfect for a seamless trading journey. Always conduct thorough research before investing in crypto assets.

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OpenAI has finalized a significant $30 billion cloud deal with Oracle, marking a pivotal moment in AI data center expansion. The partnership involves OpenAI renting 4.5GW of capacity under the Project Stargate initiative, a government-backed scheme aimed at enhancing AI infrastructure across the U.S. and globally. This venture, announced in January with support from SoftBank, plans to invest $500 billion over four years in AI advancements. Oracle will spearhead the development of new data centers, expanding its Abilene, Texas site from 1.2GW to 2GW. Other potential locations for development include Michigan, Wyoming, Georgia, Ohio, and Pennsylvania. The deal, which starts generating revenue in 2028, has significantly boosted Oracle’s forecast, with CEO Safra Catz highlighting the company’s robust growth and cloud service agreements. Stay updated with ITPro for the latest insights and reports on AI trends and cybersecurity challenges.

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Robinhood’s recent foray into tokenized assets in Europe has hit a snag due to its unauthorized distribution of “OpenAI” tokens, raising eyebrows and sparking criticism, particularly from Elon Musk. The tokens, part of Robinhood’s launch to democratize access to private markets, were never approved by OpenAI, which stated they do not signify any ownership rights. The company’s move to tokenize shares is seen as a risky legal maneuver via a special purpose vehicle, aimed at offering indirect market exposure to retail investors. While Robinhood continues its strategy to establish tokenization as a global trading standard, the legal and ethical ramifications are significant. The European Commission may scrutinize this incident closely, especially given the MiCA transparency rules, which necessitate clarity in assets offered. This case exemplifies the tension between financial innovation and regulatory compliance, underscoring the need for trust in tokenized finance.

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Former OpenAI board member, Ilya Sutskever, has expressed skepticism regarding Meta’s recent hiring initiatives in the AI sector. He emphasizes concerns about the company’s ability to foster genuine innovation and ethical AI development, particularly following a history of privacy issues and controversies. Sutskever highlights the importance of transparency and accountability in AI advancements, cautioning that merely increasing headcount may not translate into meaningful progress. He suggests that industry leaders should prioritize ethical considerations and user safety over rapid growth. As the AI landscape evolves, the focus should shift towards collaborative efforts that enhance trust and responsible deployment of technology. This skepticism reflects broader industry discussions about the balance between scaling AI capabilities and ensuring they align with societal values and standards. Understanding these dynamics is critical for stakeholders aiming to navigate the complex intersection of technology, ethics, and public perception in the AI realm.

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