Artificial Intelligence

Meta, Microsoft Stocks Surge on Earnings

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**Excerpt:**

Tech giants Meta and Microsoft stunned Wall Street with blockbuster earnings, sending their stocks soaring as AI and cloud computing fueled record growth. Microsoft’s revenue hit $70.1 billion—beating estimates—while Meta’s $42.3 billion haul signaled a dramatic turnaround. Both companies credited AI investments for their success, with Microsoft’s Azure cloud and Meta’s new AI assistant driving optimism. But as economic uncertainty lingers, can their momentum hold? Dive into the details and what it means for investors.

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Business

Jensen Huang AI Factories for All

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*”At the Hill and Valley Forum in Washington, D.C., Nvidia CEO Jensen Huang declared that every company—regardless of industry—will soon need its own ‘AI factory.’ These dedicated facilities, he argued, will transform raw data into actionable intelligence, much like traditional factories revolutionized manufacturing. Huang’s vision signals a future where AI is not just an optional tool but a core competitive necessity. From small businesses leveraging AI for efficiency to enterprises scaling innovation, the message is clear: adaptation is urgent. As policymakers and tech leaders grapple with AI’s rapid evolution, Huang’s prediction underscores a pivotal shift—businesses that delay risk obsolescence. The question is no longer *if* but *when* your company will build its AI factory.”*

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NYC Subway Cameras Predict Trouble Early

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*”New York City is testing AI-powered subway cameras designed to predict and prevent crime before it happens. The MTA’s new ‘predictive prevention’ system analyzes live footage for unusual behavior—such as erratic movements or signs of distress—to alert authorities early. While officials stress the technology doesn’t identify individuals, privacy advocates question its potential for overreach. As cities worldwide turn to AI for security, the debate continues: Does this innovation make commuters safer, or does it risk normalizing invasive surveillance?”*

*(Tags: AI surveillance, NYC subway safety, crime prediction, MTA, public transit technology)*

Google Launches Gemini 2.5 Flash Preview

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The AI race just got hotter. Google’s *Gemini 2.5 Flash*—a faster, smarter, and more efficient AI model—launched in preview mode on April 17, 2025, directly challenging OpenAI’s freshly released *o3* and *o4-mini* models. Designed to dynamically scale its reasoning power based on task complexity, *Gemini 2.5 Flash* promises speed without sacrificing accuracy, while giving developers granular control over cost and performance. With Google and OpenAI locked in a rapid-fire battle of upgrades, users reap the rewards: cutting-edge AI that’s more accessible and adaptable than ever. Will this be Google’s comeback moment?

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Nvidia CEO Visits Beijing Amid U.S. Chip Ban

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*”Nvidia CEO Jensen Huang’s high-profile visit to Beijing underscores the escalating tensions between the U.S. and China over advanced AI technology. Coming just after the U.S. banned Nvidia from selling its cutting-edge AI chips to China, Huang’s trip signals a critical moment in the global semiconductor race. As the U.S. tightens export controls, citing national security risks, Nvidia faces a delicate balancing act—complying with regulations while preserving its lucrative Chinese market. With China relying heavily on foreign chips for AI development, Huang’s discussions in Beijing may hint at behind-the-scenes negotiations. Yet, as the tech cold war deepens, the stakes for Nvidia—and the future of AI—have never been higher.”*

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Business

Ireland Probes X Over Grok AI Data Use

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*”Elon Musk’s X is under investigation by Ireland’s Data Protection Commission (DPC) over allegations it violated EU privacy laws by using personal user data—such as posts and messages—to train its AI chatbot, Grok, without proper consent. The probe, announced on April 11, 2025, could result in fines of up to 4% of X’s global revenue, setting a precedent for AI firms operating in Europe. This case highlights the growing tension between rapid AI development and strict GDPR compliance, with implications for transparency, data sourcing, and the future of ethical AI innovation.”*

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