Exposed records from the private group included the personal information of a senior White House intelligence official and an active-duty special operations officer. A data exposure at Dialog, the private events group cofounded by Peter Thiel, exposed personal information of multiple US national security personnel. These include an intelligence official on the National Security Council (NSC) and an active-duty intelligence officer supporting sensitive military operations, WIRED has learned. The Pentagon is now examining the matter. Personal information about intelligence and military personnel is among the data most sought by foreign intelligence services, which use it to identify, surveil, and approach US operatives abroad and at home.

A state of emergency has been declared across Venezuela after successive quakes with magnitudes above 7 struck the country on Wednesday evening, causing widespread damage and triggering tsunami warnings.

Japan is building a 21st-century military, but it is running out of 21st-century citizens to man it.

The US military has long known that cheap fixes could stop location data from exposing its troops. It adopted almost none--and now says adversaries are using the data to target soldiers during a war. For nearly a decade, the Pentagon was warned--by its own contractors, analysts, and intelligence agencies--that anyone with a credit card could buy a map of where American troops sleep, work, and store nuclear weapons. Now the bill has come due in a war zone. A newly disclosed letter shows the warnings went unheeded: US Central Command now confirms it has received "multiple threat reports concerning adversary exploitation of commercial location data to target or surveil US personnel in theater"--the first official acknowledgment that the data-broker economy is being used to hunt American forces in the Middle East.

British forces based in Iraq shot down two Iranian drones overnight, Defence Secretary John Healey has said. But some drones in the attack hit the coalition base in the Iraqi city of Erbil, the capital of the Kurdistan region, and injured a number of US troops. There were no British casualties. Brigadier Guy Foden said the base and another in the Iraqi capital of Baghdad were struck a number of times on Wednesday night and British personnel are currently in Erbil helping to defend that base. Since the US-Israeli strikes on Iran, US bases in Iraq have been targeted in retaliation.

Drones aren't yet licensed to carry passengers, but some may already be airlifting wounded personnel off the battlefield and could be employed for smuggling people Still from a promotional video for Skysurfer, a US company that sells "ultralight aircraft" for personal, recreational use The first passenger-carrying drones may already be in use. These aren't sophisticated urban air taxis, but crudely modified cargo drones transporting combat casualties and criminals. Heavy-lift drones are essentially scaled-up versions of the familiar quadcopters. Hair-raising videos of hobbyists carried by home-made drones show that the basic technology is simple enough. But meeting aircraft safety requirements for passenger transport takes years, and drone-makers, including Volocopter, EHang and Eve Air Mobility, are all aiming to get vehicles certified this year or next.

'Appropriate and unambiguous': White House defends Trump over middle-finger gesture at heckler The White House has defended US President Donald Trump after he aimed an offensive gesture at a heckler during his appearance at a Ford factory in Detroit on Tuesday. Footage of the incident published by TMZ appears to show the president responding to a man who shouted at him from afar. The White House said: A lunatic was wildly screaming expletives in a complete fit of rage, and the President gave an appropriate and unambiguous response. The heckler has been suspended by Ford, the United Auto Workers union told the BBC's US partner, CBS News. A Ford spokesperson told CBS: One of our core values is respect and we don't condone anyone saying anything inappropriate like that within our facilities.

Is Trump losing patience with Putin? Will sanctions against Russian oil giants hurt Putin? The United Kingdom is sending military equipment and personnel to Belgium after a spate of disruptive drone sightings forced the temporary closures of two major airports. Air Chief Marshal Richard Knighton told the BBC network on Sunday that the military had agreed to "deploy our people, our equipment to Belgium to help them" after a request from Belgian authorities. In the past week, both Belgium's main international airport at Brussels and one of Europe's biggest cargo airports at Liege were forced to close temporarily because of drone incursions.

The integration of machine learning (ML) is critical for industrial competitiveness, yet its adoption is frequently stalled by the prohibitive costs and operational disruptions of upgrading legacy systems. The financial and logistical overhead required to support the full ML lifecycle presents a formidable barrier to widespread implementation, particularly for small and medium-sized enterprises. This paper introduces a pragmatic, API-based framework designed to overcome these challenges by strategically decoupling the ML model lifecycle from the production environment. Our solution delivers the analytical power of ML to domain experts through a lightweight, browser-based interface, eliminating the need for local hardware upgrades and ensuring model maintenance can occur with zero production downtime. This human-in-the-loop approach empowers experts with interactive control over model parameters, fostering trust and facilitating seamless integration into existing workflows. By mitigating the primary financial and operational risks, this framework offers a scalable and accessible pathway to enhance production quality and safety, thereby strengthening the competitive advantage of the manufacturing sector.

Effective disaster response is essential for safeguarding lives and property. Existing statistical approaches often lack semantic context, generalize poorly across events, and offer limited interpretability. While Large language models (LLMs) provide few-shot generalization, they remain text-bound and blind to geography. To bridge this gap, we introduce a Geospatial Awareness Layer (GAL) that grounds LLM agents in structured earth data. Starting from raw wildfire detections, GAL automatically retrieves and integrates infrastructure, demographic, terrain, and weather information from external geodatabases, assembling them into a concise, unit-annotated perception script. This enriched context enables agents to produce evidence-based resource-allocation recommendations (e.g., personnel assignments, budget allocations), further reinforced by historical analogs and daily change signals for incremental updates. We evaluate the framework in real wildfire scenarios across multiple LLM models, showing that geospatially grounded agents can outperform baselines. The proposed framework can generalize to other hazards such as floods and hurricanes.