AI Is Here to Replace Nuclear Treaties. The last major nuclear arms treaty between the US and Russia just expired. Some experts believe a combination of satellite surveillance, AI, and human reviewers can take its place. For half a century, the world's nuclear powers relied on an intricate and complex series of treaties that slowly and steadily reduced the number of nuclear weapons on the planet. Those treaties are gone now, and it doesn't appear that they'll be coming back anytime soon.

Meta will finance Oklo's purchase of uranium for its reactors. It's a massive vote of confidence for both the startup and nuclear power, but challenges remain. There are two ways for tech companies to invest in nuclear power right now. One is to buy power from traditional reactors that are already built, either by purchasing electricity from the plants directly or financing the reconstruction of decommissioned units. The other is to invest in one of the dozens of reactor startups promising to commercialize designs and technologies never before used in the American market to generate electricity.

US support for nuclear energy is soaring. Meanwhile, coal plants are on their way out and electricity-sucking data centers are meeting huge pushback. Welcome to the next front in the energy battle. Take yourself back to 2017. Get Out and The Shape of Water were playing in theaters, Zohran Mamdani was still known as rapper Young Cardamom, and the Trump administration, freshly in power, was eager to prop up its favored energy sources. That year, the administration introduced a series of subsidies for struggling coal-fired power plants and nuclear power plants, which were facing increasing price pressures from gas and cheap renewables.

President Donald Trump has arrived in the UK for his historic second state visit, which will see a crowded mix of royal pageantry, trade talks and international politics. Before making the trip from the US on Air Force One, Trump sent positive signals, describing the visit as an honour and saying: My relationship is very good with the UK. They want to see if they can refine the trade deal a little bit I'm into helping them, said Trump, with a multi-billion US technology investment deal being announced as the president's visit got underway. But Trump said the main purpose of the visit was to see my friend King Charles: He represents the country so well, such an elegant gentleman. Landing at Stansted airport, President Trump received an official welcome from a line-up on the runway including Foreign Secretary Yvette Cooper. The president is spending the night in the US ambassador's residence, Winfield House, before a day of royal ceremony and lavish spectacle in Windsor Castle on Wednesday - with the president describing Windsor as the ultimate in settings.

Within a week of his inauguration, President Trump issued an executive order to develop "The Iron Dome for America" (rebranded the "Golden Dome" a month later.) The eruption of a revived conflict between Israel and Iran in June has only strengthened the case for an American version of the Iron Dome in the eyes of the administration. Trump has often expressed admiration for Israel's Iron Dome, an air defense system that can intercept short-range rockets and artillery over the small nation and that is funded in part by the United States. But in the complicated security landscape confronting the world today, is spectacle the same as safety? This story is from our forthcoming print issue, which is all about security.

This paper introduces ChatbotManip, a novel dataset for studying manipulation in Chatbots. It contains simulated generated conversations between a chatbot and a (simulated) user, where the chatbot is explicitly asked to showcase manipulation tactics, persuade the user towards some goal, or simply be helpful. We consider a diverse set of chatbot manipulation contexts, from consumer and personal advice to citizen advice and controversial proposition argumentation. Each conversation is annotated by human annotators for both general manipulation and specific manipulation tactics. Our research reveals three key findings. First, Large Language Models (LLMs) can be manipulative when explicitly instructed, with annotators identifying manipulation in approximately 84\% of such conversations. Second, even when only instructed to be ``persuasive'' without explicit manipulation prompts, LLMs frequently default to controversial manipulative strategies, particularly gaslighting and fear enhancement. Third, small fine-tuned open source models, such as BERT+BiLSTM have a performance comparable to zero-shot classification with larger models like Gemini 2.5 pro in detecting manipulation, but are not yet reliable for real-world oversight. Our work provides important insights for AI safety research and highlights the need of addressing manipulation risks as LLMs are increasingly deployed in consumer-facing applications.

Recent progress in AI capabilities has heightened concerns that AI systems could pose a threat to national security, for example, by making it easier for malicious actors to perform cyberattacks on critical national infrastructure, or through loss of control of autonomous AI systems. In parallel, federal legislators in the US have proposed nascent 'AI incident regimes' to identify and counter similar threats. In this paper, we consolidate these two trends and present a timely proposal for a legally mandated post-deployment AI incident regime that aims to counter potential national security threats from AI systems. We start the paper by introducing the concept of 'security-critical' to describe sectors that pose extreme risks to national security, before arguing that 'security-critical' describes civilian nuclear power, aviation, life science dual-use research of concern, and frontier AI development. We then present in detail our AI incident regime proposal, justifying each component of the proposal by demonstrating its similarity to US domestic incident regimes in other 'security-critical' sectors. Finally, we sketch a hypothetical scenario where our proposed AI incident regime deals with an AI cyber incident. Our proposed AI incident regime is split into three phases. The first phase revolves around a novel operationalization of what counts as an 'AI incident' and we suggest that AI providers must create a 'national security case' before deploying a frontier AI system. The second and third phases spell out that AI providers should notify a government agency about incidents, and that the government agency should be involved in amending AI providers' security and safety procedures, in order to counter future threats to national security.

Disruptions in energy imports, backlash in social acceptance, and novel technologies failing to develop are unexpected events that are often overlooked in energy planning, despite their ability to jeopardize the energy transition. We propose a method to explore unexpected events and assess their impact on the transition pathway of a large-scale whole-energy system. First, we evaluate unexpected events assuming "perfect foresight", where decision-makers can anticipate such events in advance. This allows us to identify dealbreakers, i.e., conditions that make the transition infeasible. Then, we assess the events under "limited foresight" to evaluate the robustness of early-stage decisions against unforeseen unexpected events and the costs associated with managing them. A case study for Belgium demonstrates that a lack of electrofuel imports in 2050 is the main dealbreaker, while accelerating the deployment of renewables is the most robust policy. Our transferable method can help policymakers identify key dealbreakers and devise robust energy transition policies.

More than a decade after the triple meltdown at the Fukushima Daiichi power plant, Japan is again turning to nuclear power as it struggles to reach its emissions targets and bolster its energy security. In a draft strategic energy plan due to be approved by the cabinet this month, the trade and industry ministry signalled it was ditching attempts to lessen Japan's reliance on nuclear power in the wake of the Fukushima disaster – the world's worst nuclear accident since Chornobyl 25 years earlier. The document dropped a reference to "reducing reliance" on nuclear energy that had appeared in the three previous plans, and instead called for a "maximisation" of nuclear power, which will account for about 20% of total energy output in 2040, based on the assumption that 30 reactors will be in full operation by then. The plan envisages a share of between 40% and 50% for renewable energy – compared with just under a third in 2023 – and a reduction in coal-fired power from the current 70% to 30-40%. The push to restart reactors idled since the plant was struck by a tsunami triggered by a magnitude-9.0

Global carbon emissions would be 6% lower than today if not for the "inaccurate narrative" against nuclear power since the Chornobyl disaster that has created "unfounded public concern", according to Tony Blair's thinktank. A report from the Tony Blair Institute (TBI) has found that if the nuclear power industry had continued to grow at the same pace as before the 1986 nuclear disaster, the carbon savings would be the equivalent of removing the emissions of Canada, South Korea, Australia and Mexico combined. The world's emissions are higher than they might have been because of a sharp slowdown in the number of nuclear reactors opened since the 1980s, said the report, released on Monday. It found that more than 400 reactors started up in the 30 years before the Chornobyl disaster, but fewer than 200 had been commissioned in the almost 30 years since. "The result is that nuclear energy has never become the ubiquitous power source many had projected, with countries instead turning towards alternatives such as coal and gas," the report said. The thinktank has predicted a "new nuclear age" in the years ahead, driven by a surge in demand for low-carbon electricity from the power-thirsty datacentres needed to power artificial intelligence.