Earth Observation (EO) provides critical planetary data for environmental monitoring, disaster management, climate science, and other scientific domains. Here we ask: Are AI systems ready for reliable Earth Observation? We introduce \datasetnamenospace, a benchmark of 140 yes/no questions from NASA Earth Observatory articles across 13 topics and 17 satellite sensors. Using Google Earth Engine API as a tool, LLM agents can only achieve an accuracy of 33% because the code fails to run over 58% of the time. We improve the failure rate for open models by fine-tuning synthetic data, allowing much smaller models (Llama-3.1-8B) to achieve comparable accuracy to much larger ones (e.g., DeepSeek-R1). Taken together, our findings identify significant challenges to be solved before AI agents can automate earth observation, and suggest paths forward. The project page is available at https://iandrover.github.io/UnivEarth.

Multi-agent large language model simulations have the potential to model complex human behaviors and interactions. If the mechanics are set up properly, unanticipated and valuable social dynamics can surface. However, it is challenging to consistently enforce simulation mechanics while still allowing for notable and emergent dynamics. We present AgentDynEx, an AI system that helps set up simulations from user-specified mechanics and dynamics. AgentDynEx uses LLMs to guide users through a Configuration Matrix to identify core mechanics and define milestones to track dynamics. It also introduces a method called \textit{nudging}, where the system dynamically reflects on simulation progress and gently intervenes if it begins to deviate from intended outcomes. A technical evaluation found that nudging enables simulations to have more complex mechanics and maintain its notable dynamics compared to simulations without nudging. We discuss the importance of nudging as a technique for balancing mechanics and dynamics of multi-agent simulations.

This study addresses the problem of hallucinated span detection in the outputs of large language models. It has received less attention than output-level hallucination detection despite its practical importance. Prior work has shown that attentions often exhibit irregular patterns when hallucinations occur. Motivated by these findings, we extract features from the attention matrix that provide complementary views capturing (a) whether certain tokens are influential or ignored, (b) whether attention is biased toward specific subsets, and (c) whether a token is generated referring to a narrow or broad context, in the generation. These features are input to a Transformer-based classifier to conduct sequential labelling to identify hallucinated spans. Experimental results indicate that the proposed method outperforms strong baselines on hallucinated span detection with longer input contexts, such as data-to-text and summarisation tasks.

Traffic crash detection in long-form surveillance videos is essential for improving emergency response and infrastructure planning, yet remains difficult due to the brief and infrequent nature of crash events. We present \textbf{HybridMamba}, a novel architecture integrating visual transformers with state-space temporal modeling to achieve high-precision crash time localization. Our approach introduces multi-level token compression and hierarchical temporal processing to maintain computational efficiency without sacrificing temporal resolution. Evaluated on a large-scale dataset from the Iowa Department of Transportation, HybridMamba achieves a mean absolute error of \textbf{1.50 seconds} for 2-minute videos ($p<0.01$ compared to baselines), with \textbf{65.2%} of predictions falling within one second of the ground truth. It outperforms recent video-language models (e.g., TimeChat, VideoLLaMA-2) by up to 3.95 seconds while using significantly fewer parameters (3B vs. 13--72B). Our results demonstrate effective temporal localization across various video durations (2--40 minutes) and diverse environmental conditions, highlighting HybridMamba's potential for fine-grained temporal localization in traffic surveillance while identifying challenges that remain for extended deployment.

At WIRED's AI Power Summit on Monday, industry executives and officials discussed the impact artificial intelligence is having on every corner of society--and where it goes from here. In an increasingly divided world, one thing that everyone seems to agree on is that artificial intelligence is a hugely disruptive--and sometimes downright destructive--phenomenon. At WIRED's AI Power Summit in New York on Monday, leaders from the worlds of tech, politics, and the media came together to discuss how AI is transforming their intertwined worlds. The Summit included voices from the AI industry, a current US senator, a former Trump administration official, and publishers including WIRED's parent company, Condé Nast. You can view a livestream of the event in full below.

Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. Interconnected systems have become the backbone of modern societies. However, the very same critical role played by these systems brings significant challenges: Securing interconnected systems is not merely a technological necessity, but a cornerstone for safeguarding the economic, political, and social stability of countries. While these challenges are global, the Arab World presents a unique landscape that warrants a nuanced exploration of both commonalities and peculiarities within the broader context of securing interconnected systems (see Figure for a brief summary of these challenges). Interconnected systems, including cyber-physical systems, often combine computational and physical processes. They include critical infrastructure such as power grids, transportation networks, and healthcare systems, alongside commercial and industrial applications.

Fighter jets from the UK will join Nato allies in defending Polish airspace after last week's incursion of Russian drones, the defence secretary has confirmed. RAF Typhoon jets will fly air defence missions over Poland as part of the military alliance's mission to bolster the eastern flank. Other allies including Denmark, Germany and France are already taking part - a jet from the latter was scrambled earlier on Monday in response to another potential incursion by Russian drones. Nato said that alert was quickly over. Tensions have risen across Europe since Poland accused Russia of the incident, which saw 19 drones enter its territory.

Russian military exercises near NATO borders follow the recent incursion of Russian drones into the airspace of Poland and Romania, further stoking tensions with the West. On Sunday, Russia released images of its launch of a 3M22 Zircon hypersonic missile from a frigate in the Barents Sea, in the Arctic Ocean, near NATO borders. The launch comes against a backdrop of rising tensions with the West, just days after several Russian drones violated the airspace of North Atlantic Treaty Organization member countries Poland and Romania. The Zircon test is part of the Zapad 2025 joint maneuvers with Belarus, a week of military exercises aimed at assessing defensive and coordination capabilities between the two allied countries. It also serves to show that Russia's military force has not lost its strength, despite heavy losses more than three years after the start of the invasion of Ukraine .

Over 200 contractors who work on improving Google's AI products, including Gemini and AI Overviews, have been laid off, sources say. Workers enter a building on the Google headquarters campus on July 23, 2025, in Mountain View, California. More than 200 contractors who worked on evaluating and improving Google's AI products have been laid off without warning in at least two rounds of layoffs last month. The move comes amid an ongoing fight over pay and working conditions, according to workers who spoke to WIRED. In the past few years, Google has outsourced its AI rating work--which includes evaluating, editing, or rewriting the Gemini chatbot's response to make it sound more human and "intelligent"--to thousands of contractors employed by Hitachi-owned GlobalLogic and other outsourcing companies.

Belarus and Russia's show of firepower appears to be a message to Europe In a large field 45 miles (72km) from Belarus' capital Minsk, a battle is raging. There are giant explosions as Sukhoi-34 bombers drop guided bombs. Helicopter gunships join the attack, while surveillance drones sweep overhead to view the damage. Together with other international media we've been brought to the Borisovsky training ground where Belarusian and Russian forces are taking part in joint manoeuvres. Military attachés, too, from a variety of embassies are observing the drill from a viewing platform.