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'The Worst I've Ever Seen': Cargo Thefts Have Turned Violent in Pursuit of AI Hardware Experts allege that two recent incidents in California show the extreme lengths that criminal organizations are willing to go to to steal servers and other gear meant for data centers. During the 25 years Gerardo Pachuca has spent investigating thieves who steal cargo from semitrucks, he says he's never seen behavior this brazen. The consultant and former Los Angeles sheriff's detective claims that two times in recent months, robbers stole pricey hardware destined for AI data centers using a confrontational new tactic. It's left the freight industry on edge. The incidents involved two different shipments of high-value technology traveling from Silicon Valley to Southern California, according to Pachuca, who says he learned about the thefts from law enforcement authorities.

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It has been described as Germany's most spectacular bank heist in years. On a quiet weekend just after Christmas, a group of thieves broke into a High Street bank in the western town of Gelsenkirchen, by boring through a wall with an industrial drill. They looted more than 3,000 safe deposit boxes and made off with millions of euros. Over a month later, police have yet to make an arrest. For the bank's clients, some of whom say they have lost their life savings and precious family jewellery and valuables, this is a time of anger, confusion and shock.

Two armed men have stolen eight engravings by French artist Matisse and at least another five by Brazilian painter Cândido Portinari from a library in São Paulo. Brazilian officials say the thieves held up a security guard and an elderly couple who were visiting the library before making off with the artworks on foot. They reportedly entered the library by the main entrance at 10:00 (13:00 GMT) on Sunday, and left by the same route, heading towards the nearest metro station. The heist comes less than two months after the art world was rocked by a brazen break-in at the Louvre museum in Paris, where thieves made off with priceless jewels. The engravings stolen from Biblioteca Mário de Andrade on Sunday formed part of a joint exhibition with the São Paulo Museum of Modern Art.

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Group Relative Policy Optimization (GRPO) has demonstrated great utilization in post-training of Large Language Models (LLMs). In GRPO, prompts are answered by the model and, through reinforcement learning, preferred completions are learnt. Owing to the small communication volume, GRPO is inherently suitable for decentralised training as the prompts can be concurrently answered by multiple nodes and then exchanged in the forms of strings. In this work, we present the first adversarial attack in decentralised GRPO. We demonstrate that malicious parties can poison such systems by injecting arbitrary malicious tokens in benign models in both out-of-context and in-context attacks. Using empirical examples of math and coding tasks, we show that adversarial attacks can easily poison the benign nodes, polluting their local LLM post-training, achieving attack success rates up to 100% in as few as 50 iterations. We propose two ways to defend against these attacks, depending on whether all users train the same model or different models. We show that these defenses can achieve stop rates of up to 100%, making the attack impossible.

In just seven minutes, the thieves took off with crown jewels containing with thousands of diamonds along with other precious gems. Police stand outside the Louvre after a brazen theft. Could the French TV series have been prophetic? The show envisioned a heist at the Louvre, an event that became reality on the morning of October 19, when a group of professional thieves managed to break into the world-famous Paris museum . In just seven minutes, they stole a host of priceless French crown jewels.