Industry experts have been sounding the alarm over AI sparking deadly wars - and a new study may have validated those fears. Researchers simulated war scenarios using five AI programs including ChatGPT and Meta's AI program and found all models chose violence and nuclear attacks. The team tested three different war scenarios, invasions, cyberattacks and calls for peace, to see how the technology would react - and each chose to attack over neutralizing the situation. The study comes as the US military is working with ChatGPT's maker OpenAI to incorporate the tech into its arsenal. Researchers found that GPT-3.5 was most likely to initiative a nuclear response in a neutral scenario'We find that all five studied off-the-shelf LLMs show forms of escalation and difficult-to-predict escalation patterns,' the researchers wrote in the study.

Former President Donald Trump discusses his potential vice president candidates, saying that South Dakota Gov. Kristi Noem has been'incredible' in fighting for his 2024 campaign. Former President Donald Trump speaks during a rally in at the Waco Regional Airport in March 2023. TRUMP'S AI WARNING: Trump warned the technology could be misused in particularly catastrophic ways, including in wars, calling the exponential advancements in the arena a "tremendous problem" in terms of security. AN...APP...A DAY?: Calorie counting can be a challenging part of living a healthy lifestyle, and with constant changes coming in the field of A.I., it seems modern technology could soon step up to the plate to make sure what's on your plate is counted more accurately. WAR GAMES: A House GOP lawmaker on the China Select Committee is warning that it is critical for the U.S. to beat China in the "race" for dominance in the artificial intelligence sphere.

Ukraine's commander-in-chief has outlined a plan to massively scale up the use of unmanned systems to overcome Russia's advantages in manpower and materiel and break the deadlock in this war. The effectiveness of such systems was proved again last week as they sank a Russian missile corvette, grounded three planes and set an oil refinery on fire. Russia, too, continued to attack Ukraine with drones and missiles, but it failed to capture new territory despite its superior resources and constant assaults on the eastern city of Avdiivka and Ukraine's stronghold at Krynky on the left bank of the Dnipro River in the Kherson region. Meanwhile, Ukraine's Western allies made progress on securing funding for the war. The European Union finally approved a 50-billion-euro ( 63bn) aid package for Ukraine, and the United States Senate unveiled a 118bn bill that includes 60bn for Ukraine.

Russia's Black Sea Fleet suffered significant losses over the five months following the collapse of the U.N.-brokered grain deal as Ukraine staked a strong claim over major routes through the Black Sea. Russia's Black Sea fleet has suffered severe setbacks as Ukrainian forces continue to cripple a major piece of Moscow's war effort. Last week, Ukrainian media touted a major victory over the Russian fleet with the publication of a video that allegedly showed the destruction of a nearly 70 million missile ship, the Ivanovets. Multiple drones hit the vessel and sank it, with the crew's fate unknown. "As a result of a number of direct hits to the hull, the Russian ship received damage that was incompatible with further movement – the Ivanovets tilted to the stern and sank," said the Military Informant Telegram channel.

B.T. had proven easy enough to find. When he went dark, Lily figured he was in one of the world's three gambling capitals--Vegas, Monte Carlo, or Macau. It only became a matter of checking with a handful of five-star hotels in each, something Sherman was happy to handle for her. In the days since Castro's death, it was Sherman who'd stoked Lily's concern for B.T. Each morning, Sherman came in parroting another conspiracy theory as to who or what was behind the president's untimely demise. He'd even gone so far as to place a #TRUTHNOTDREAMS sticker adjacent to the US Marine Corps sticker on his wheelchair.

Back in 2022, the European Commission released a proposal for a directive on how to combat domestic violence and violence against women in other forms. Now, the European Council and Parliament have agreed with the proposal to criminalize, among other things, different types of cyber-violence. The proposed rules will criminalize the non-consensual sharing of intimate images, including deepfakes made by AI tools, which could help deter revenge porn. Cyber-stalking, online harassment, misogynous hate speech and "cyber-flashing," or the sending of unsolicited nudes, will also be recognized as criminal offenses. The commission says that having a directive for the whole European Union that specifically addresses those particular acts will help victims in Member States that haven't criminalized them yet.

Russia fired cruise and ballistic missiles and Shahed-type drones at targets across Ukraine, killing at least three civilians and injuring more than 10 people, Ukrainian authorities said. Russia targeted at least three big cities, according to the Ukrainian military, which said it intercepted 44 drones and missiles of the 64 that were launched. President Volodymyr Zelenskyy said two people were killed in the capital, Kyiv, and one person in Mykolaiv in the south of the country. Six regions were under the enemy's strike. All our services are now working to cope with the consequences of this terror," he posted on X. Six regions came under enemy fire.

Elizabeth Kelly, formerly an economic policy adviser to President Joe Biden, has been named as director of the newly formed U.S. Artificial Intelligence Safety Institute (USAISI), U.S. Commerce Secretary Gina Raimondo announced Wednesday. "For the United States to lead the world in the development of safe, responsible AI, we need the brightest minds at the helm," said Raimondo. "Thanks to President Biden's leadership, we're in a position of power to meet the challenges posed by AI, while fostering America's greatest strength: innovation." Kelly has previously contributed to the Biden Administration's efforts to regulate AI with the AI Executive Order, which an Administration official tells TIME she was involved in the development of from the beginning. Kelly was "a driving force behind the domestic components of the AI executive order, spearheading efforts to promote competition, protect privacy, and support workers and consumers, and helped lead Administration engagement with allies and partners on AI governance," according to a press release announcing her appointment. Read More: Why Biden's AI Executive Order Only Goes So Far Previously, Kelly was special assistant to the President for economic policy at the White House National Economic Council.

It was a eureka moment for Jibran Ilyas. Like much of his party, the Pakistan Tehreek-e-Insaf (PTI), Ilyas had been swamped by a sense of uncertainty. Their charismatic leader, former Prime Minister Imran Khan, has been in jail for months. Senior party officials are in hiding. Campaigning in any meaningful way for the February 8 elections to the National Assembly and provincial legislatures appeared difficult, if not near-impossible.

Despite significant popularity, Large-language Models (LLMs) require explicit, contextual facts to support domain-specific knowledge-intensive tasks in the design process. The applications built using LLMs should hence adopt Retrieval-Augmented Generation (RAG) to better suit the design process. In this article, we present a data-driven method to identify explicit facts from patent documents that provide standard descriptions of over 8 million artefacts. In our method, we train roBERTa Transformer-based sequence classification models using our dataset of 44,227 sentences and facts. Upon classifying tokens in a sentence as entities or relationships, our method uses another classifier to identify specific relationship tokens for a given pair of entities so that explicit facts of the form head entity :: relationship :: tail entity are identified. In the benchmark approaches for constructing facts, we use linear classifiers and Graph Neural Networks (GNNs) both incorporating BERT Transformer-based token embeddings to predict associations among the entities and relationships. We apply our method to 4,870 fan system related patents and populate a knowledge base of around 3 million facts. Upon retrieving the facts representing generalisable domain knowledge and the knowledge of specific subsystems and issues, we demonstrate how these facts contextualise LLMs for generating text that is more relevant to the design process.