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AI Surveillance Expands in U.S. Immigration Enforcement

The Department of Homeland Security (DHS) and U.S. Immigration and Customs Enforcement (ICE) are expanding their use of AI-driven surveillance technologies, such as facial recognition, predictive analytics, and military-grade drones, to monitor immigrants and U.S. citizens. These tools, originally designed for battlefield use, are now being employed in domestic settings, including protests and community surveillance. Civil liberties advocates highlight the lack of transparency and oversight, warning of privacy violations and the disproportionate impact on immigrant and marginalized groups. Key technologies in use include Palantir’s Immigration Lifecycle Operating System (ILOS), mobile device analysis, voice analytics, and the Hurricane Score, which predicts compliance risks for immigrants. Critics argue that these technologies chill free speech and exacerbate systemic inequalities, calling for greater community engagement and regulation.

about AI Surveillance Expands in U.S. Immigration Enforcement

Tom Schmidt: The DeFi Investor Backing Real Solutions

Tom Schmidt, a Stanford Computer Science graduate and former product manager at Facebook and Instagram, transitioned into crypto through 0x, where he shaped early decentralized exchange protocols. Now at Dragonfly Capital, he backs DeFi projects like DODO, Lido, and Ethena, prioritizing substance over hype. Unlike flashy investors, Schmidt focuses on technical rigor and real-world utility, leveraging his product-building experience to identify protocols that simplify complexity without compromising user value. His quiet yet influential presence—through investments, writings, and podcasts—offers a grounded perspective in an industry often dominated by speculation.

about Tom Schmidt: The DeFi Investor Backing Real Solutions
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