Alex Pretti's Minneapolis death was murder, Americans declare in damning poll as voters issue new demand to Trump... and reveal how few back the shooting'Greedy pig' Harry Styles is shamefully exploiting obsessed women. I know... because it happened to me: LIZ JONES My sister confided an unbearable secret about her boyfriend. Keeping quiet is intolerable... our mother will be devastated: DEAR JANE Trump accounts: Million-dollar baby plan aims to create a fortune for America's newest arrivals before age 30 Nicki Minaj flashes dagger-long nails as she clutches Trump's hand after gushing she's his No. 1 fan Bryan Kohberger's warped requests from behind bars leave prison guards sickened... as new pictures of Idaho murders reveal full extent of his barbarity Bruce Willis' wife Emma makes heartbreaking admission about star's dementia battle Hilarious live gaffe on David Muir's World News Tonight that'triggered behind the scenes meltdown' Haley Kalil confident her bitter lawsuit with ex-NFL star husband will be thrown out as she cites'free speech' after revealing size of his manhood'He was Mr Perfect... now we're seeing his true colours': How Harry Styles cultivated his'good boy' image... and why fans are now turning on him after this controversial new move Mom who gave all four of her daughters the same name slams critics: 'Our family doesn't need outside approval' Brooklyn Beckham and Nicola Peltz share photo of the'world's most expensive wine' at £17,000 a BOTTLE... as it's revealed she gets a '$1m monthly allowance' from her billionaire father Battlefield'voice of God' sonic weapon used in warzones unleashed on Minneapolis protesters A military grade device capable of projecting a deafening, focused sound was deployed during a tense anti ICE protest in Minnesota Monday night. State patrol troopers faced off with activists outside the SpringHill Suites in Maple Grove, where demonstrators believed federal immigration agents were staying. Officers threatened to engage a long range acoustic device (LRAD), giving the crowd a countdown before deployment.

This paper introduces the "Singularity Warfare" concept, arguing that the accelerating pace of technological revolution, driven by artificial intelligence and quantum mechanics, is fundamentally reshaping the nature of conflict. Moving beyond traditional "Newtonian" warfare and current military doctrine s, this framework posits that future battlefields will be defined by a merger of physical and abstract domains, where human imagination and algorithmic logic become a unified, actionable reality. Victory will hinge on a unit's ability to maintain cognitive and technological "coherence" while creating "decoherence" in the adversary. The paper synthesizes theories from physics, philosophy, and futurology to provide a metatheoretical framework for understanding this paradigm shift. Introduction Following the Second World War, modern warfare was traditionally divided into two primary categories: strategic and conventional forces.

In this conversation, Helen Warrell, FT investigations reporter and former defense and security editor, and James O'Donnell, MIT Technology Review's senior AI reporter, consider the ethical quandaries and financial incentives around AI's use by the military. Welcome back to, a new collaboration between the Financial Times and MIT Technology Review. In this conversation, Helen Warrell, investigations reporter and former defense and security editor, and James O'Donnell, 's senior AI reporter, consider the ethical quandaries and financial incentives around AI's use by the military. It is July 2027, and China is on the brink of invading Taiwan. Autonomous drones with AI targeting capabilities are primed to overpower the island's air defenses as a series of crippling AI-generated cyberattacks cut off energy supplies and key communications. In the meantime, a vast disinformation campaign enacted by an AI-powered pro-Chinese meme farm spreads across global social media, deadening the outcry at Beijing's act of aggression.

Recent studies suggest that very small language models (SLMs) can generate surprisingly coherent text when trained on simplified, child-directed corpora such as TinyStories. These findings have been interpreted as evidence that readability -- characterized by accessible vocabulary, familiar narrative structure, and simple syntax -- plays a key role in enabling such capabilities to emerge. In this paper, we challenge that interpretation. We construct synthetic datasets with matched structure but varied readability, and find that readability alone does not predict coherence or learning efficiency in SLMs. Models trained on complex, adult-level text perform comparably to those trained on simplified language, and even exhibit faster development of coherence during training. Instead, we show that statistical simplicity, as measured by n-gram diversity, is a stronger predictor of learnability. Our findings caution against the growing trend of anthropomorphizing language model training -- drawing parallels to human cognitive development without empirical basis -- and argue for more precise reasoning about what properties actually support capability emergence in small models.

Fox News chief political analyst Brit Hume explains why President Donald Trump should not remove himself from the peace negotiations between Russia and Ukraine and more on'Special Report.' When Russia invaded Ukraine in February 2022, many experts predicted Kyiv's quick fall. When Ukraine pushed back overextended Russian forces, the same experts confidently said that Russia's mass -- a population almost four times larger than Ukraine -- would certainly grind Ukraine down. Triumph for Putin was inevitable. But, an odd thing happened on the way to Russia's victory parade: Ukraine is outfighting Russia.

The tiny "stealth" Carbon Voyager 1, fast-moving Black Tide I, and explosives-carrying Sea Shark 800 were the highlight of an expo for companies vying to help Taiwan build up a maritime drone force. Taipei believes drones could be pivotal in repelling China in the event its forces attempt to invade the self-ruled island, which Beijing has threatened to annex by force if necessary. Su'ao is just 60km (37 miles) from Fulong, one of the so-called "red beaches" identified by defence experts as potential landing sites for the People's Liberation Army (PLA) due to their unique topography. Whereas Russia sent tanks across land borders to launch its war on Ukraine in 2022, a Chinese invasion of Taiwan would involve Beijing sending vessels across the 180-km- (112-mile-)wide Taiwan Strait. While the Taiwan Strait's choppy waters and Taiwan's mountainous geography and shallow beaches pose formidable challenges to an amphibious invasion, technological advances and a decades-long modernisation campaign by the PLA have steadily chipped away at the island's natural defences.

Artificial intelligence gets tons of press – and for good reason. But AI's fast-rising expertise lies not just within the matrix of its own nifty algorithms, but also in its wider connections. It's about "intelligent connectivity" that relies on raw data – lots and lots of it – and on the communication networks that carry it. This blend of technologies may be surrounding you at a large store like Walmart. Retailers fight for their target audience using sensors galore, stationed in their aisles and checkout lines.

At Fort Sill, service members from across the military are undergoing counter-drone training at the Joint C-sUAS (Counter small Unmanned Aircraft System) University (JCU), also known as "drone university." The program has become a critical part of the Military's efforts to combat the rapidly growing use of unmanned aerial systems (UAS) by adversaries. "It's the Army's premier Counter-Small UAS training institution," said Col. Moseph Sauda, the program's director. "Our mission is to prepare and train the joint force to counter the threat, to be able to understand that threat, how they operate, and how they attack us… We can then develop not only tactics, techniques, and procedures, but also the employment methodology that maximizes the capabilities of our existing systems." A 3D-printed drone flies above from Oklahoma's Fort Sill at the U.S. Army's Joint C-sUAS University.

The F-35 has had to develop a thick skin. From my former colleagues in Congress to defense-industry experts, the world's premier fighter jet is accustomed to criticism for issues with cost, production and more. In November, though, one of America's most influential voices decided to jump on the bandwagon: Elon Musk. Musk shared a video of a drone swarm with the caption, "Meanwhile, some idiots are still building manned fighter jets like the F-35," and he included a trash-can emoji for good measure. You can imagine the pleasant surprise of the men and women who build the F-35, as well as the brilliant men and women who pilot it, when a drone-like swarm of voices came to their defense.

As the future of warfare pivots toward artificial intelligence, Ukraine is sitting on a valuable resource: millions of hours of footage from drones which can be used to train AI models to make decisions on the battlefield. AI has been deployed by both sides on the battlefield during Russia's invasion of Ukraine to identify targets, scanning images far quicker than a human can. Oleksandr Dmitriev, founder of OCHI, a nonprofit Ukrainian digital system which centralizes and analyses video feeds from over 15,000 drone crews working on the front lines, said his system had collected 2 million hours, or 228 years, of battlefield video from drones since 2022.