On June 25, the Nifty 50 surged to a new high, closing above the 25,200 mark for the first time since October, reflecting a 0.8% gain ahead of the June futures and options (F&O) expiry. Analysts anticipate further advances toward the 25,300–25,350 range, supported by positive technical indicators and a declining VIX. A sustained move above this zone could lead the index towards targets of 25,500–25,600, provided it maintains support levels between 25,100 and 25,000. Global market cues appear mixed to positive. Stocks like PB Fintech and Mobikwik are highlighted for potential block deals. The conversation includes insights from market experts Nandita Khemka, Chandan Taparia, and Kranthi Bathini regarding these developments.
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Comprehensive Updates on Stock and Share Markets: Economy, Finance, Sensex, Nifty, and Global Market Insights, Plus Live IPO News from NSE and BSE
How to Prevent Meta AI from Sharing Your Prompts on Facebook and Instagram – NBC 5 Dallas-Fort Worth
Meta’s new AI app, launched in April, has raised privacy concerns due to the public sharing of user prompts, including bizarre and personal requests. Users have inadvertently shared conversations generating images like women mud wrestling and humorous depictions of public figures. Although the chat feature is private by default, users can still opt to share prompts publicly through a specific process. Meta emphasizes that users can adjust privacy settings within the app to prevent their queries from being shared on platforms like Facebook and Instagram. Users are advised to go to their profile settings, manage their information, and toggle the visibility settings for prompts. This move comes as Meta aims to strengthen its AI capabilities amid competition from industry giants like Google and OpenAI, recently investing $14 billion in startup Scale AI to enhance its AI strategy.
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Microsoft and OpenAI at Odds Over AGI Clause: New Report – Tech in Asia
Microsoft and OpenAI are reportedly in conflict over a clause related to artificial general intelligence (AGI) in their partnership agreement. The disagreement centers on rights governing the use and ownership of AGI, with Microsoft seeking greater control. This clash highlights the complexities of collaboration between tech giants when it comes to ethical considerations and future developments in AI. While both organizations share the goal of advancing AI technologies, their divergent views on AGI rights could affect their ongoing partnership and future projects. As they navigate these differences, the broader implications for the AI industry and regulatory landscape may come into play, emphasizing the need for clear frameworks in ethical AI development. The outcome of this dispute could shape the competitive landscape and influence how AI technologies evolve in the coming years.
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Seeking Publisher: Book Proposal on AI, Creativity, and Human Agency
The author seeks an English-language publishing partner for their completed manuscript, “Thinking Outsourcing: The Hidden Cost of Surrendering Your Mind to AI.” The book, approximately 105,000 words, explores how generative AI encourages outsourcing not just tasks but critical thinking, emphasizing the need for structured thought and individual judgment. Written in a conversational style, it blends philosophy and cognitive science with real-world AI case studies, aimed at tech-savvy, non-specialist readers, including product managers and educators. It features practical “AI collaboration cycles” and positions itself between notable works like “The Shallows” and “Make Time.” The author, who is an AI educator and former language-model PM, invites introductions to publishers or literary agents and offers to share the full draft and additional materials. Interested parties can reach the author at haebom@kakao.com for connections or feedback.
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Zhipu AI, the Chinese Startup, Wins Government Contracts – Insights from Tech in Asia
Chinese startup Zhipu AI has successfully secured government contracts, highlighting its growing influence in the AI sector. This development comes at a time when the Chinese government is increasingly investing in advanced technologies to boost its economy and enhance public services. Zhipu AI specializes in language processing, providing tools that can aid various sectors including education and public administration. The government contracts not only validate the company’s technology but also position it for further growth and expansion. By aligning with the government’s initiatives, Zhipu AI aims to leverage its innovations to contribute to societal needs while cementing its place in the competitive AI landscape. This move underscores the government’s commitment to fostering homegrown tech companies as part of its broader industrial strategy. Overall, Zhipu AI’s recent achievements reflect both its technical capabilities and the supportive role of governmental collaboration in advancing AI initiatives.
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Introducing AI Phone Interviewer: Your 30-Second Call Solution
Prepin.ai offers a quick AI-powered screening interview via phone, allowing users to receive a call within 30 seconds for a 2–3 minute session. Currently, the platform handles general screening questions and generates simple reports while actively validating demand for additional features such as technical screening libraries, ATS integrations, custom question sets, and multi-language support. The team seeks feedback from recruiters and startup founders about the interview experience. They encourage potential users to try the call to evaluate its naturalness and voice quality before providing feedback on comfort level and usability in hiring processes. The MVP aims to test the concept’s viability, inviting thoughts on whether it represents the future of recruitment or is simply unnecessary automation. Interested parties can access a demo by leaving their email on the site.
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Meta Launches New AI Tool for WhatsApp to Summarize Unread Messages – Tech in Asia
Meta has introduced a new AI tool for WhatsApp designed to summarize unread messages for users. This feature aims to enhance user experience by allowing individuals to catch up on conversations quickly without having to read each message in detail. The AI tool analyzes unread messages and generates concise summaries, making it easier for users to stay informed about ongoing discussions. This new capability is part of Meta’s broader push to incorporate AI innovations across its platforms, improving communication efficiency. By streamlining message management, Meta hopes to increase user engagement and satisfaction on WhatsApp, a platform that connects billions worldwide. The tool illustrates Meta’s commitment to leveraging AI technology to solve practical communication challenges. Overall, the feature emphasizes convenience and productivity, catering to the fast-paced lifestyle of modern users.
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Federal Judge Sides with AI Company Anthropic in Pivotal Copyright Infringement Case Against Authors
A federal judge in San Francisco ruled in favor of Anthropic, an AI company, in a copyright infringement case involving authors who claimed the company used their copyrighted books to train its AI models illegally. The judge determined that Anthropic’s training methods could be considered “transformative,” thus potentially qualifying as fair use under copyright law. However, he acknowledged that Anthropic also downloaded millions of books from unauthorized sources, allowing the authors’ complaint regarding piracy to proceed to trial this December. The Authors’ Guild expressed concern over the ruling’s fair use aspect regarding pirated materials, suggesting that statutory damages for copyright infringement could be substantial. The ruling is significant as it represents the first major legal assessment of fair use in the context of generative AI, while similar cases involving other authors against different AI companies are ongoing, shaping future copyright considerations surrounding AI training.
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Michael Tsai’s Blog: Exploring Radar AI Training
Apple has introduced a new opt-in training program for Apple Intelligence that allows users to contribute content from their iPhones for AI model development. This training occurs on-device using Differential Privacy to preserve user privacy. However, concerns have arisen regarding the lack of a clear opt-out option, with users able to refuse only by disabling analytics sharing.
In the Feedback Assistant, users must now consent to allow their submitted bug report attachments to be utilized for AI training, which has outraged developers. They feel this practice disrespects their trust in Apple when sharing sensitive data intended to resolve issues. Parents and past experiences suggest that this may benefit broader AI models rather than just internal bug triaging.
Overall, developers express frustration over inadequate feedback from Apple on bug reports, feeling their time and contributions are undervalued. The situation raises serious privacy concerns and questions about data handling transparency.
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