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Trump threatens to 'annihilate' Iran in UN speech as officials meet on sidelines

BBC News

Trump threatens to'annihilate' Iran in UN speech as officials meet on sidelines To play this video you need to enable JavaScript in your browser. Figure caption, Watch: Trump threatens to'annihilate' Iran if no deal reached President Donald Trump has told the United Nations General Assembly he faces a big decision on whether to strike Iran again or pursue a peace deal. A single member of Iran's delegation watched on during the president's speech on Tuesday in New York, in which he said he could annihilate the Islamic Republic if the conflict went unresolved. Before a standing-room-only audience, Trump also rejected global government, vowed to broker peace between Russia and Ukraine and ensure the US wins the artificial intelligence race. His comments came on a day of high-level diplomacy.


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Mashable

Look Up Versus Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices All Series Four ways to edit and publish clips without leaving your browser. The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. Deal pricing and availability subject to change after time of publication. ViceForge Creator Elite combines four video editing tools in one browser-based platform, with AI highlight detection, captions, voiceovers, 4K output, and more with a lifetime subscription for $119.99 (reg.


Balaclava boys on electric bikes: How to tackle the problem?

BBC News

Balaclava boys on electric bikes: How to tackle the problem? From the Pentland Hills near Edinburgh to the streets of the country's biggest cities, a common menace is causing irritation, alarm and in some cases even death. The sight of young men, their identities hidden by black balaclavas, tearing around on electric bikes or scooters is becoming a familiar one. The picture above was taken by a man who posted on social media about morons on electric bikes scaring a nearby horse, external as they rode illegally on public footpaths. Aside from being showered with gravel churned up by the gobby miscreants, no one came to harm that day, but others have not been so lucky.


Asbestos killed my mum in her 40s โ€“ was her school to blame?

BBC News

Asbestos killed my mum in her 40s - was her school to blame? To play this video you need to enable JavaScript in your browser. Figure caption, 'Mum died young from asbestos - now my family want justice' When Caroline Bryan was enjoying high school with friends in the early 90s, she would never have imagined replaying those memories in her final weeks, while searching for answers about her terminal condition. The mum was 46 when she died from mesothelioma, an incurable cancer linked to asbestos exposure. As she came to terms with her difficult diagnosis, Caroline's belief was the only place she could have encountered asbestos was during her time at school decades earlier.


Zelensky has 'questions to answer' about corruption in his government, sacked minister tells BBC

BBC News

Zelensky has'questions to answer' about corruption in his government, sacked minister tells BBC To play this video you need to enable JavaScript in your browser. Ukrainian President Volodymyr Zelensky has questions to answer about corruption in his government, his sacked defence minister Mykhailo Fedorov has told the BBC. Fedorov, a popular minister who modernised the armed forces and pioneered drone warfare, was fired last month after reportedly falling out with the head of Ukraine's armed forces. He told the BBC a money laundering investigation announced last week raised questions about Zelensky's awareness of potential corruption in his inner circle. Fedorov also reiterated that democracy should not be the hostage of Putin - but stopped short of declaring his own political ambitions days after he posted a video calling for elections in Ukraine. Supporters have protested on Kyiv's streets weekly since he was sacked, calling on the president to reinstate him.


Russia says at least seven killed in largest Ukrainian attack of 2026

BBC News

To play this video you need to enable JavaScript in your browser. At least seven people have been killed in Russia after what officials called the largest-scale attack launched by Ukraine this year. Some 822 drones were used - 600 aiming for Moscow, according to its regional governor who said the Russian capital had suffered one of the most massive drone attacks in recent memory. A warehouse belonging to Russian online retailer Wildberries was hit. Russian attacks on Ukraine also killed at least seven people and injured more than 39.


'Like a bus seat back in the day' - new Wales kit leaves fans divided

BBC News

'Like a bus seat back in the day' - new Wales kit leaves fans divided Wales football fans have been left divided over the country's new home kit, with some comparing the pattern on the red shirt to that seen on bus seats. The new shirt was revealed on Thursday by the Football Association of Wales (FAW), which said it was inspired by the rich tradition of Welsh double cloth weaving. It is the first Wales shirt produced by sportswear brand Sudu, after the FAW parted ways with Adidas after 13 years. FAW said the reaction to football kits was subjective, adding it remained incredibly proud of the creative process behind the new Cymru home kit. The association said the kit rejected reused designs, and that Sudu had worked with the association and fans to understand the DNA of the nation.


Recurrent Attention-based Token Selection for Efficient Streaming Video-LLMs

Neural Information Processing Systems

Video Large Language Models (Video-LLMs) excel at understanding videos incontext, provided they have full access to the video when answering queries. However, these models face challenges in streaming scenarios where hour-long videos must be processed online, and questions need timely responses. In this work, we propose a training-free approach compatible with standard Video-LLMs, leveraging three key concepts: 1) LLM-informed selection of visual tokens to identify those that the LLM has attended to and contributed to its understanding of each short clip. Our attention-based selection allows us to discard up to 95% of unimportant visual tokens with minimal performance loss; 2) Recurrent processing of past selected tokens to generate temporally coherent understanding of each processed clip; 3) Caption-based question answering for lightweight and accurate responses. Our method achieves state-of-the-art performance on streaming video benchmarks, striking a balance between efficiency and effectiveness.


CoT-lized Diffusion: Let's Reinforce T2IGeneration Step-by-step

Neural Information Processing Systems

Experiments on 3DScene benchmarks show that CoT-Diff significantly improves spatial alignment and compositional fidelity, and outperforms the state-of-the-art method by 34.7% in complex scene spatial accuracy, validating the effectiveness of this entangled generation paradigm.


Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations

Neural Information Processing Systems

Benchmarks for out-of-distribution (OOD) generalization frequently show a strong positive correlation between in-distribution (ID) and OOD accuracy across models, termed "accuracy-on-the-line." This pattern is often taken to imply that spurious correlations--correlations that improve ID but reduce OOD performance--are rare in practice. We find that this positive correlation is often an artifact of aggregating heterogeneous OOD examples. Using a simple gradient-based method, OODSelect, we identify semantically coherent OOD subsets where accuracy on the line does not hold. Across widely used distribution shift benchmarks, the OODSelect uncovers subsets, sometimes up to over half of the standard OOD set, where higher ID accuracy predicts lower OOD accuracy. Our findings indicate that aggregate metrics can obscure important failure modes of OOD robustness. We release code and the identified subsets to facilitate further research.