AI at School Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Look Up Say More Safety Net Versus Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age All Series Beyond Flock itself, testimony raised harder questions about police accountability, data security and a decade-old industry. Chance Townsend is the General Assignments Editor at Mashable, covering tech, video games, dating apps, digital culture, and whatever else comes his way. He has a Master's in Journalism from the University of North Texas and is a proud orange cat father. His writing has also appeared in PC Mag and . Flock Safety, the largest U.S. seller of automated license plate reader (ALPR) cameras, continues to draw national scrutiny.

Look Up Versus Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices All Series FBI warned ICE agents of fake'tradwife' dating profiles The memo came after viral TikToks suggested women share information about suspected ICE agents they met on dating apps. Anna Iovine is the associate editor of features at Mashable. Previously, as the sex and relationships reporter, she covered topics ranging from dating apps to pelvic pain. Before Mashable, Anna was a social editor at VICE and freelanced for publications such as Slate and the Columbia Journalism Review. Follow her on Instagram .

City Detects's Blight Scores can help catch code violations, but critics aren't so sure. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Garbage trucks have a new side hustle: unkempt yard snitches. Garbage trucks now do more than just pick up tossed-out food scraps and junk. In at least four states (California, Georgia, South Carolina, Texas), some city-run sanitation vehicles are being outfitted with AI-equipped cameras from a company called City Detect .

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Los Angeles Unified School District teachers conduct ICE patrols near schools, watching for federal immigration agents and alerting immigrant communities before classes begin.

We study safe linear bandits (SLBs), where an agent selects actions from a convex set to maximize an unknown linear objective subject to unknown linear constraints in each round. Existing methods for SLBs provide strong regret guarantees, but require solving expensive optimization problems. To address this, we propose Constrained Linear Thompson Sampling (COLTS), a sampling-based framework that selects actions by solving perturbed linear programs, which significantly reduces computational costs while matching the regret and risk of prior methods. We develop two main variants: S-COLTS, which ensures zero risk and eO( d3T) regret given a safe action, and R-COLTS, which achieves eO( d3T)regret and risk with no instance information. In simulations, these methods match or outperform state of the art SLB approaches while substantially improving scalability. On the technical front, we introduce a novel coupled noise design that ensures frequent'local optimism' about the true optimum, and a scaling-based analysis to handle the per-round variability of constraints.

Plus: Google publishes a live exploit for an unpatched flaw, the feds arrest two men accused of creating thousands of nonconsensual deepfake nudes, and more. A WIRED investigation this week found that a former Phoenix police officer who owns a company that offers firearms training to Immigration and Customs enforcement was involved in six shootings, four of which were deadly . Meanwhile, a New York police officer's lawyer has been banned from Madison Square Garden amid a lawsuit the cop filed over injuries sustained during a boxing match at an MSG venue. The Take It Down Act went into effect in the United States this week, allowing people to demand that websites and other platforms remove their nonconsensual nudes. WIRED reached out to more than a dozen companies to give you a rundown on how to take action .

From threat modeling to encrypted collaboration apps, we've collected experts' tips and tools for safely and effectively building a group--even while being targeted and tracked by the powerful. Rarely in modern US history have so many Americans opposed the actions of the federal government with so little hope for a top-down political solution. That's left millions of people seeking a bottom-up approach to resistance: grassroots organizing. Yet as Americans assemble their own movements to protect and support immigrants, push back against the Department of Homeland Security's dangerous incursions into cities, and protest for civil rights and policy changes, they face a federal government that possesses vast surveillance powers and sweeping cooperation from the Silicon Valley companies that hold Americans' data. That means political, social, and economic organizing presents a risky dilemma. How do you bring people of all ages, backgrounds, and technical abilities into a mass movement without exposing them to monitoring and targeting by a government--and in particular Immigration and Customs Enforcement and Customs and Border Protection, agencies with paramilitary ambitions, a tendency to break the law, and more funding than some countries' militaries. Organizing safely in an age of surveillance increasingly requires not only technical security know-how, but also a tricky balance between secrecy and openness, says Eva Galperin, the director of cybersecurity at the Electronic Frontier Foundation, a nonprofit focused on digital civil liberties.

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ICE and CBP's Face-Recognition App Can't Actually Verify Who People Are ICE has used Mobile Fortify to identify immigrants and citizens alike over 100,000 times, by one estimate. It wasn't built to work like that--and only got approved after DHS abandoned its own privacy rules. The face-recognition app Mobile Fortify, now used by United States immigration agents in towns and cities across the US, is not designed to reliably identify people in the streets and was deployed without the scrutiny that has historically governed the rollout of technologies that impact people's privacy, according to records reviewed by WIRED. The Department of Homeland Security launched Mobile Fortify in the spring of 2025 to "determine or verify" the identities of individuals stopped or detained by DHS officers during federal operations, records show. DHS explicitly linked the rollout to an executive order, signed by President Donald Trump on his first day in office, which called for a "total and efficient" crackdown on undocumented immigrants through the use of expedited removals, expanded detention, and funding pressure on states, among other tactics. Despite DHS repeatedly framing Mobile Fortify as a tool for identifying people through facial recognition, however, the app does not actually "verify" the identities of people stopped by federal immigration agents--a well-known limitation of the technology and a function of how Mobile Fortify is designed and used.