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Trump 'not happy' with UK response to Iran conflict

BBC News

US President Donald Trump has renewed his criticism of the UK government over its response to the Iran conflict, after Prime Minister Sir Keir Starmer said the country would not be drawn into the wider war. Trump told reporters on Monday he was not happy with the UK, adding it should be involved enthusiastically in efforts to reopen the Strait of Hormuz - a vital oil shipping channel . He later told a press conference there were some countries that greatly disappointed me before he singled out the UK, which he said had been considered the Rolls-Royce of allies. Trump's remarks came after Sir Keir said the UK was working with allies on a viable, collective plan to reopen the strait. Sir Keir also said the UK already had minehunters in the region but there was no decision yet on what action would be taken.


The Iran War Is Throwing Global Shipping Into Chaos

WIRED

Flexport CEO Ryan Petersen says the conflict is stranding cargo and threatening inflation. After years of chaos in the global supply chain, Ryan Petersen, CEO of the logistics company Flexport, felt 2026 might offer some modicum of order. The pandemic was firmly in the rearview mirror. Red Sea shipping channels--which had been closed due to the Gaza crisis--were finally opening. The Supreme Court struck down many of Donald Trump's tariffs, and some Flexport customers were hoping for refunds.


The tiny tuxedo cat who became a naval hero

Popular Science

A 17-year-old British sailor saved Simon from the Hong Kong docks when he was likely a year old. Breakthroughs, discoveries, and DIY tips sent six days a week. One day in March of 1948, George Hickinbottom, a British sailor, was walking around the docks of Stonecutters Island in Hong Kong. When the 17-year-old spotted a small black-and-white tuxedo cat, barely out of kittenhood, he decided to smuggle the hungry, scrawny animal aboard his ship, the HMS . Hickinbottom didn't get in trouble.


A Training Examples

Neural Information Processing Systems

Market research indicates that there is a significant opportunity for a new co ee bar located in the heart of the downtown business district.






Appendixfor" Self-InterpretableModelwith TransformationEquivariant Interpretation "

Neural Information Processing Systems

Please refer to the Appendix 5 for details. Besides, in order to balance the classification loss and the transformation loss we set the scalar factor to beλ = 5 throughoutthetrainingphase. Here the first rows are the untransformed and the transformed images, while the second rows are the corresponding interpretations. This is a supplement toFigure 1 in the main body of the paper. And also there are perturbation methods such as randomized input sampling (RISE) [8] and extremal perturbation (EP) [2].


VICoT-Agent: A Vision-Interleaved Chain-of-Thought Framework for Interpretable Multimodal Reasoning and Scalable Remote Sensing Analysis

Wang, Chujie, Luo, Zhiyuan, Liu, Ruiqi, Ran, Can, Fan, Shenghua, Chen, Xi, He, Chu

arXiv.org Artificial Intelligence

The current remote sensing image analysis task is increasingly evolving from traditional object recognition to complex intelligence reasoning, which places higher requirements on the model's reasoning ability and the flexibility of tool invocation. T o this end, we propose a new multimodal agent framework, Vision-Interleaved Chain-of-Thought Framework (VICoT), which implements explicit multi-round reasoning by dynamically incorporating visual tools into the chain of thought. Through a stack-based reasoning structure and a modular MCP-compatible tool suite, VICoT enables LLMs to efficiently perform multi-round, interleaved vision-language reasoning tasks with strong generalization and flexibility.W e also propose the Reasoning Stack distillation method to migrate complex Agent behaviors to small, lightweight models, which ensures the reasoning capability while significantly reducing complexity. Experiments on multiple remote sensing benchmarks demonstrate that VICoT significantly outperforms existing SOTA frameworks in reasoning transparency, execution efficiency, and generation quality.