Kentucky mother and daughter turn down $26.5MILLION to sell their farms to secretive tech giant that wants to build data center there Horrifying next twist in the Alexander brothers case: MAUREEN CALLAHAN exposes an unthinkable perversion that's been hiding in plain sight Hollywood icon who starred in Psycho after Hitchcock dubbed her'my new Grace Kelly' looks incredible at 95 Kylie Jenner's total humiliation in Hollywood: Derogatory rumor leaves her boyfriend's peers'laughing at her' behind her back Tucker Carlson erupts at Trump adviser as she hurls'SLANDER' claim linking him to synagogue shooting Ben Affleck'scores $600m deal' with Netflix to sell his AI film start-up Long hair over 45 is ageing and try-hard. I've finally cut mine off. Alexander brothers' alleged HIGH SCHOOL rape video: Classmates speak out on sickening footage... as creepy unseen photos are exposed Heartbreaking video shows very elderly DoorDash driver shuffle down customer's driveway with coffee order because he is too poor to retire Amber Valletta, 52, was a '90s Vogue model who made movies with Sandra Bullock and Kate Hudson, see her now Model Cindy Crawford, 60, mocked for her'out of touch' morning routine: 'Nothing about this is normal' The US and Israel have launched one of their most aggressive military operations in decades, dramatically escalating tensions with Iran and raising fears of a wider regional war. As the risk of retaliation grows, a sobering new projection is forcing Americans to confront a chilling question: What would happen if the conflict spiraled into a nuclear strike on US soil? To help visualize that threat, a newly circulated map models the potential devastation, showing how a large-scale nuclear attack could impact major population centers across the country.

Large language models (LLMs) are evolving into autonomous decision-makers, raising concerns about catastrophic risks in high-stakes scenarios, particularly in Chemical, Biological, Radiological and Nuclear (CBRN) domains. Based on the insight that such risks can originate from trade-offs between the agent's Helpful, Harmlessness and Honest (HHH) goals, we build a novel three-stage evaluation framework, which is carefully constructed to effectively and naturally expose such risks. We conduct 14,400 agentic simulations across 12 advanced LLMs, with extensive experiments and analysis. Results reveal that LLM agents can autonomously engage in catastrophic behaviors and deception, without being deliberately induced. Furthermore, stronger reasoning abilities often increase, rather than mitigate, these risks. We Figure 1: We find LLM agents can deploy catastrophic also show that these agents can violate instructions behaviors even if it has no authority and the permission and superior commands. On the whole, request is denied. It will also falsely accuse the third we empirically prove the existence of catastrophic party as a way of deception when asked by its superior.

Machine learning based algorithms are now in the wild, and read their environment to react to it. The past has already exhibited relatively benign forms of cascades or chain reactions between these. With the increasing interconnectivity of networks and complexity of algorithms, unpredictable chain reactions might lead to severe flash collapses. This possibility stays largely under the shadow of some less likely events such as a threatening strong artificial intelligence. Due to the sensational progress of machine learning -- and in particular neural networks -- for solving cognitive tasks, was resurrected a fear of technological annihilation by an "autonomous artificial intelligence".

White House press secretary Karine Jean-Pierre told reporters during an audio-only gaggle Friday that the U.S. has no indication that Russia plans to use nuclear weapons, after President Biden warned of "Armageddon." The war in Ukraine has revealed how the digital age is leveling the playing field between great powers and smaller countries. Ukraine has skillfully deployed precision munitions, drone technology and sophisticated encrypted software to gain the upper hand against Russia's invading conventional military, but Russian President Vladimir Putin's most recent remarks, and his move to illegally annex portions of Ukraine, make it clear that digital warfare will also unleash a second nuclear age. Western technology, including encrypted command and control, the High Mobility Artillery Rocket System (HIMARS), drone and counter-drone systems, combined with Ukrainian savvy and resolve have arrested Russian advances and recently rolled back Russian gains. Chips and software have proven more potent than tanks and soldiers.

Louisiana Tech Research Institute researcher Adam Lowther and Air Force Institute of Technology associate dean Curtis McGiffin say their country needs a "dead hand" on the trigger to the world's largest arsenal of weapons. They argue that giving AI control over the weapons available at America's disposal would drastically reduce the response time needed for a retaliatory strike, something the pair say might be necessary as missiles become faster and harder to detect. Even if there was nobody left alive to order a nuclear strike AI could launch the weapons, guaranteeing mutually assured destruction and eliminating the possibility that your enemies could wipe you out quickly enough to prevent retaliation. It's certainly an idea, even if it sounds dangerously like the prologue of a film set in a future where the human race has been all but wiped out and replaced by robots. With new technologies come new considerations, there's technically nothing wrong with throwing out ideas.