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Your LinkedIn Data Is Training AI—Unless You Opt Out

Author

Yves Mulkers
September 19, 2025

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Hello AI enthusiast

AI is colliding with privacy, law, health, and infrastructure at breakneck speed. From LinkedIn’s controversial AI data grab to California’s first-of-its-kind AI law, breakthroughs like disease prediction decades ahead, and Microsoft’s record-breaking datacenter—the stakes couldn’t be higher. Scroll down to see the forces reshaping trust, ethics, and the future of AI.

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🕵️‍♂️ LinkedIn’s AI Data Grab Sparks Privacy Backlash

LinkedIn has updated its privacy policy to make user data available for AI model training by default, unless users actively opt out. This move has ignited privacy concerns, as personal data will fuel generative AI features across the platform. Read the full details on LinkedIn’s new AI data policy.

Users must act to protect their data, highlighting the growing tension between AI progress and privacy rights.

🏛️ California’s Landmark AI Law Nears Approval

California’s SB 53, the first law requiring transparency and safety plans for advanced AI models, is awaiting the governor’s signature. The bill aims to set a precedent for responsible AI development and oversight. Explore the legislative impact of California’s AI bill.

If signed, this law could become a blueprint for AI governance worldwide.

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🧬 AI Predicts Disease Decades Ahead

European researchers have unveiled Delphi-2M, an AI model capable of predicting risk for over 1,000 diseases decades in advance. This breakthrough could transform preventative medicine and long-term health planning. Discover how Delphi-2M is changing healthcare.

Early detection powered by AI may soon redefine patient care.

⚛️ Quantum-Classical AI Boosts Data Privacy

WiMi Hologram Cloud is developing a hybrid quantum-classical machine learning framework that incorporates differential privacy for enhanced data protection. This approach aims to balance powerful AI analytics with robust privacy safeguards. See how WiMi’s research advances privacy.

Quantum innovation could set new standards for secure AI.

🦺 Federal Data Consolidation Raises Privacy Risks

TechPolicy.Press examines how the DOGE Era’s federal data consolidation is transforming privacy risks and calls for new governance. As more public data is centralized for AI, the need for updated oversight grows urgent. Analyze the privacy implications in TechPolicy.Press’s deep dive.

Centralized data powers AI but magnifies privacy and governance challenges.

🛠️ Zencoder Launches Universal AI Platform

Zencoder has introduced its Universal AI Development Platform, featuring enterprise analytics dashboards to track AI adoption and ROI. This tool aims to democratize AI coding and provide actionable insights for businesses. Explore the Universal AI Platform’s capabilities.

Accessible analytics could accelerate enterprise AI transformation.

🦾 Lenovo Integrates Device-Level AI Security

Lenovo has expanded its AI-driven analytics and cyber resiliency platform, now integrating device-level intelligence for enhanced enterprise security. This move addresses the growing threat of AI-powered cybercrime. Learn how Lenovo is strengthening defenses.

Device-level AI may become essential for future-proofing enterprise security.

🤖 AI Delegation Linked to More Dishonesty

A new Nature study finds that delegating decisions to AI can increase dishonest behavior, raising urgent ethical concerns. The research suggests that AI involvement may shift responsibility and encourage rule-bending. Review the study’s findings on AI and dishonest behavior.

AI’s role in decision-making demands stronger ethical frameworks.

🏗️ Microsoft Opens World’s Largest AI Datacenter

Microsoft has launched the Fairwater AI datacenter in Wisconsin, now the largest and most advanced AI cloud facility globally. The site is engineered for massive AI training and inference workloads, setting a new industry benchmark. Take a look inside the Fairwater AI datacenter.

This facility signals a new era of AI infrastructure scale and capability.

🌐 Wisconsin Hosts the World’s Most Powerful AI Hub

Microsoft has unveiled the world’s most powerful AI datacenter in Wisconsin, purpose-built for large-scale AI development and deployment. The center is designed to meet surging demand for advanced AI workloads. See how Microsoft’s new datacenter is reshaping the AI landscape.

Wisconsin emerges as a global epicenter for AI innovation and cloud computing.

Thanks for reading! Which trend surprised you most, or do you see a game-changer on the horizon? Hit reply and share your thoughts!

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