You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Miracle of the 28 children who escaped 9/11... and the hero World Trade Center daycare teacher who saved them Trump immigration boss says Ilhan Omar DID marry her brother... and an official investigation could see her deported Bombshell CIA 9/11 files lay bare Bill Clinton's horrific Bin Laden mistake...as ex-president grimly faces families at Ground Zero Prosecutor claims KJ Biermann was previously charged over sexual incident with family member that he'filmed on his phone' 'He thinks the Royal Family need him': What Harry and Meghan are really trying to achieve with farcical return... as ALISON BOSHOFF reveals why they expect to be'let back in' - and why their own team is'miserable' Stylist's lunch with daughter, 8, at millionaire's ritzy New York restaurant ends in screams and disaster after mozzarella sandwich order, lawsuit claims Truth about the Falling Man: Sister of anonymous 9/11 jumper who became symbol of America's grief tells the heartbreaking full story, clues that led to him... and why she knows God'caught his spirit' and carried it to Heaven What your secret sexual fantasies really mean: I've worked with so many couples and this is what your hidden desires reveal about you I worked on the 105th floor of the World Trade Center on 9/11. Man sitting park bench after taking mom with Alzheimer's on a walk is mercilessly stabbed in the neck... as police charge career criminal with murder Harry and Meghan have only been back for two weeks and their return is already a pure farce. Aaron Rodgers blasts Donald Trump and tears apart'MAGA movement' as NFL star launches political rant Elderly man's no-nonsense reaction when terrifying black bear comes within INCHES of him on sidewalk Ticket agent who checked in 9/11 hijackers admits he didn't'listen to his gut' when he first saw them Mystery as devoted single mom who would'never leave her son' vanishes without a trace from DC home Mel Gibson's daughter Lucia, 16, is his height now as they surface in rare joint sighting... 16 years after THAT explosive rant to her mother It almost feels sacrilegious to write this: MAUREEN CALLAHAN's unobstructed view of 9/11, the phone call she'll never forget... and horrors only New Yorkers know Two women shot dead and two others injured inside $300k home before victim's DAUGHTER and friend took police on multi-state chase'Time traveler' claiming to be from the year 3700 reveals'physical evidence' from the day robots destroy humanity A self-proclaimed time traveler's dark prediction about a war between humans and robots has resurfaced amid the wave of chilling warnings from AI experts this week. The man, who identified himself only as'Mike,' claimed he had returned from September 20, 3700 - the day every robot powered by artificial intelligence began an apocalyptic attack on humanity.

Look Up Back to School Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Say More Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook Switch Off Mashable Voices Safety Net Versus All Series Stay connected across 28 countries with one eSIM. 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. Traveling through Europe or the UK? Get a Vuoly eSIM with 20GB of mobile data for 30 days for $24.99 (reg.

Technology Aviation The world's largest electric plane takes flight The 25,000-pound aircraft flew for 27 minutes. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Heart Aerospace's X1 demonstrator, the largest battery-electric aircraft ever flown, crosses the Champlain Valley near Plattsburgh, New York, at sunrise during its first flight in August 2026. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW?

You're viewing the US edition You can switch to the UK or AU homepage at any time using this menu. Terrifying footage shows church collapse as huge 7.4-magnitude earthquake hits Colombia, burying people beneath collapsed buildings, with dozens dead Courtroom stunned as OnlyFans model is sentenced to six years in prison for killing boyfriend in knife attack... and she'll be out in two Brad Pitt reveals he has battled suicidal thoughts and'couldn't see a way out' as he opens up on'family stuff' amid estrangement from his children with Angelina Jolie Lindsay Clancy's psychiatrist admits she NEVER had face-to-face appointment with her... despite prescribing barrage of medication before children's killings: Live updates'Sinister' truth about'It' girl Hallie Batchelder: Hard-partying influencer's X-rated act caught on video as obscene nickname and'substances' confession are revealed A tiny receipt detail exposed my friend's cheating partner: JANA HOCKING reveals the tricks to catching ...

Petrifying new photos show sagging Manhattan skyscraper that continues to move after buckled beams triggered mass evacuation... as city official insists any collapse will be'localized' Credit Suisse VP gave wife genteel Southern life after staging romantic beach proposal. Lauren Bennett's father reveals devastating details of her final months before LMFAO star's shock death at 36 Argentina vs Egypt - last 16 LIVE: Furious Egyptians claim World Cup is RIGGED in Lionel Messi's favour after underdogs fell victim to two VAR controversies in dramatic defeat in Atlanta Why the King's patience finally snapped after Harry's endless flip-flopping on Palace stay: REBECCA ENGLISH reveals how Charles was pushed to breaking point by'chaos, disruption and disrespect' I lost 126lbs in a year after I began taking this little-known 7-cent supplement. It killed all my cravings... and it can even tackle female facial hair and acne The unglamorous reality of attending Taylor Swift's wedding... revealed by disgruntled guests: ALISON BOSHOFF Astonishing downfall of Obama-backed Democratic golden boy as he's arrested on disturbing charges Mutiny at Justice as hundreds demand rejection of Pam Bondi's replacement over'culture of fear' Candace Owens is profiting off Charlie Kirk's death. She was his protégé and my employee. Louise Lasser dead at 87: Mary Hartman, Mary Hartman actress who was Woody Allen's second wife passes away Revealed: Taylor and Travis have a SECRET DOG.

Vision-language models have demonstrated impressive capabilities as computer-use agents (CUAs) capable of automating diverse computer tasks. As their commercial potential grows, critical details of the most capable CUA systems remain closed. As these agents will increasingly mediate digital interactions and execute consequential decisions on our behalf, the research community needs access to open CUA frameworks to study their capabilities, limitations, and risks. To bridge this gap, we propose OPENCUA, a comprehensive open-source framework for scaling CUA data and foundation models. Our framework consists of: (1) an annotation infrastructure that seamlessly captures human computer-use demonstrations; (2) AGENTNET, the first large-scale computer-use task dataset spanning 3 operating systems and 200+ applications and websites; (3) a scalable pipeline that transforms demonstrations into state-action pairs with reflective long Chain-of-Thought reasoning that sustain robust performance gains as data scales.

Unlike reasoning, which often entails a deep sequence of deductive steps, complex real-world planning is characterized by the need to synthesize a broad spectrum of parallel and potentially conflicting information and constraints. For example, in travel planning scenarios, it requires the integration of diverse real-world information and user preferences.

Designing optimal prompts and reasoning processes for large language models (LLMs) on domain-specific tasks is both necessary and challenging in real-world applications. Determining how to integrate domain knowledge, enhance reasoning efficiency, and even provide domain experts with refined knowledge integration hints are particularly crucial yet unresolved tasks. In this research, we propose Evolutionary Graph Optimization for Prompting (EGO-Prompt), an automated framework to designing better prompts, efficient reasoning processes and providing enhanced causal-informed process. EGO-Prompt begins with a general prompt and fault-tolerant initial Semantic Causal Graph (SCG) descriptions, constructed by human experts, which is then automatically refined and optimized to guide LLM reasoning. Recognizing that expert-defined SCGs may be partial or imperfect and that their optimal integration varies across LLMs, EGO-Prompt integrates a novel causal-guided textual gradient process in two steps: first, generating nearly deterministic reasoning guidance from the SCG for each instance, and second, adapting the LLM to effectively utilize the guidance alongside the original input.

Large language models (LLMs) are equipped with increasingly extended context windows recently, yet their long context understanding capabilities over long dependency tasks remain fundamentally limited and underexplored. This gap is especially significant in many real-world long-context applications that were rarely benchmarked. In this paper, we introduce LooGLE v2, a novel benchmark designed to evaluate LLMs' long context ability in real-world applications and scenarios. Our benchmark consists of automatically collected real-world long texts, ranging from 16k to 2M tokens, encompassing domains in law, finance, game and code. Accordingly, we delicately design 10 types of domain-specific long-dependency tasks and generate 1,934 QA instances with various diversity and complexity in a scalable data curation pipeline for further practical needs. We conduct a comprehensive assessment of 6 locally deployed and 4 API-based LLMs. The evaluation results show that even the best-performing model achieves only a 59.2% overall score on our benchmark. Despite the extensive context windows, popular LLMs are only capable of understanding a much shorter length of context than they claim to be, revealing significant limitations in their ability to handle real-world tasks with long dependencies and highlighting substantial room for model improvement in practical long-context understanding.