Military weapon systems and command-and-control infrastructure augmented by artificial intelligence (AI) have seen rapid development and deployment in recent years. However, the sociotechnical impacts of AI on combat systems, military decision-making, and the norms of warfare have been understudied. We focus on a specific subset of lethal autonomous weapon systems (LAWS) that use AI for targeting or battlefield decisions. We refer to this subset as AI-powered lethal autonomous weapon systems (AI-LAWS) and argue that they introduce novel risks--including unanticipated escalation, poor reliability in unfamiliar environments, and erosion of human oversight--all of which threaten both military effectiveness and the openness of AI research. These risks cannot be addressed by high-level policy alone; effective regulation must be grounded in the technical behavior of AI models. We argue that AI researchers must be involved throughout the regulatory lifecycle. Thus, we propose a clear, behavior-based definition of AILAWS--systems that introduce unique risks through their use of modern AI--as a foundation for technically grounded regulation, given that existing frameworks do not distinguish them from conventional LAWS. Using this definition, we propose several technically-informed policy directions and invite greater participation from the AI research community in military AI policy discussions.

AI will lead to more need for workers rather than make people redundant, Amazon founder Jeff Bezos predicted during an appearance at a tech conference in Paris. Bezos pushed back against growing concerns that AI will replace large numbers of workers. Instead he argued that the tech will unlock new opportunities and increase demand for human labour. This is in contradiction to some other tech and political figures - including former UK prime minister Rishi Sunak, now an adviser to Microsoft and AI firm Anthropic, who recently said AI was having an impact on young people's job prospects . I know there's a lot of concern that many people have, including many smart people, that AI is going to make humans redundant and so on, Bezos said.

Recent proposals for regulating frontier AI models have sparked concerns about the cost of safety regulation, and most such regulations have been shelved due to the safety-innovation tradeoff. This paper argues for an alternative regulatory approach that ensures AI safety while actively promoting innovation: mandating that large AI laboratories release small, openly accessible "analog models"--scaled-down versions trained similarly to and distilled from their largest proprietary models. Analog models serve as public proxies, allowing broad participation in safety verification, interpretability research, and algorithmic transparency without forcing labs to disclose their full-scale models. Recent research demonstrates that safety and interpretability methods developed using these smaller models generalize effectively to frontier-scale systems. By enabling the wider research community to directly investigate and innovate upon accessible analogs, our policy substantially reduces the regulatory burden and accelerates safety advancements. This mandate promises minimal additional costs, leveraging reusable resources like data and infrastructure, while significantly contributing to the public good. Our hope is not only that this policy be adopted, but that it illustrates a broader principle supporting fundamental research in machine learning: deeper understanding of models relaxes the safety-innovation tradeoff and lets us have more of both.

The issue of AI sovereignty was in focus at London Tech Week. The issue of AI sovereignty was in focus at London Tech Week. UK sets out AI infrastructure push at London Tech Week - how does it stack up? Ownership of the commanding heights of the AI economy is a political talking point around the world, as countries seek to assert some control of a technology dominated by the US and China. London Tech Week, the showcase event for the UK tech industry, focused heavily on that theme this week.

An AI agent system proposed by researchers in Spain promises to prevent energy theft and damage to EV chargers, as well as the critical energy infrastructure that powers them. The number of electric vehicles on roads around the world continues to grow. The boom in EV adoption has driven the development of accessible, fast, and efficient charging infrastructure. However, this expansion also brings with it new cybersecurity risks that have been not been widely studied, and for which there are still few viable solutions. Cristina Alcaraz, an infrastructure-security researcher at Spain's University of Malaga, explains that the liability of electric-vehicle charging stations is due to the fact that they integrate multiple physical and digital components.

With an initial capacity of 24 megawatts, the innovative data center uses seawater as a natural cooling system. China is submerging data centers into the ocean to keep them cool.Photograph: Shanghai Hailanyun Technology China has become the first country in the world to operate an underwater data center, or UDC, powered by wind. Located off the coast of Shanghai, the complex represents a significant advance in the country's strategy to secure energy supplies in the face of the accelerated growth of artificial intelligence, reduce dependence on fossil fuels, and reduce the environmental impact of its technology infrastructure. The initiative is the result of a collaboration between private company HiCloud Technology and state-owned China Communications Construction, which involved an investment of 1.6 billion yuan, equivalent to about $236 million. With an initial capacity of 24 megawatts, the facility is submerged at a depth of 10 meters in the Lin-gang Special Zone, within the China Pilot Free Trade Zone in Shanghai.

Sen. Tom Cotton urges the Justice Department to investigate a China-linked influence campaign he says is aimed at undermining America's AI infrastructure.

Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. How can communities take back control of the digital infrastructure that powers everyday life? In this episode, Eleanor Drage speaks with Tara Merk about how community-owned data centers could transform digital ownership and challenge the dominance of Big Tech. The conversation explores alternative models of internet infrastructure that prioritize local empowerment, sustainability, and cooperative governance over corporate control. Drawing on examples from Germany's renewable energy sector and community-led initiatives, Merk reflects on how decentralized ownership models can create fairer and more environmentally responsible technological systems.

Ukrainian drones have struck energy and industrial targets across several Russian regions, Russian authorities say, in an escalating campaign of strikes against infrastructure. In Saratov, a region on the Volga River with several oil refineries that has come under regular Ukrainian attack in recent years, Governor Roman Busargin said on Sunday on Telegram that "civil infrastructure" had been damaged in the overnight strikes. In the Kirov region, northeast of Moscow and about 1,300km (800 miles) from Ukraine, Governor Alexander Sokolov said drones had hit a facility in the Urzhumsky district. The Ukrainian army confirmed the attack, saying it had also hit the Lazarevo oil-pumping station in the region. Governors in the Rostov, Voronezh and Belgorod regions, all of which border Ukraine, also reported strikes, and three civilians were injured in Belgorod.

Ukraine has launched coordinated drone attacks on Russian energy infrastructure across multiple regions overnight. The most significant strike hit Taganrog, Rostov Oblast, where a major port fire broke out after drones hit a tanker, fuel tank and administrative building, Russia's RIA Novosti state media agency reported. "A tanker, a fuel tank, and an administrative building caught fire at the port of Taganrog as a result of a drone attack," Slyusar wrote. "According to preliminary information, there are no casualties. The information is being clarified."