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Donald Trump's White House UFC Event Would Be Embarrassing Anywhere A Monster Energy-sponsored MMA show on the White House's South Lawn was never going to be the height of dignity. But UFC Freedom 250 is failing to clear even the lowest bar. With his history of involvement in pro wrestling and boxing and his zeal for garish excess--the man is a failed casino impresario, after all--it makes perfect sense that Donald Trump would want to celebrate both America's birthday and his own with UFC cage fights on the White House lawn, sponsored by Monster Energy. If there's been any surprise, it's been in how the whole affair has so far failed to clear the lowest bar. The event's promoters are certainly setting expectations high.

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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. Raccoons are increasingly encroaching on populated areas, posing health risks for humans. 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 . Raccoons are cute and curious creatures, but frequently carry infectious diseases .

Chinese Drivers Are Using Tiny Plastic Heads to Fool Tesla's Autopilot Safeguards A cottage industry of celebrity figurines, blinking screens, and other DIY gadgets is helping drivers bypass Tesla's distracted-driving controls. In China, for just $30, you can have Dwayne Johnson drive your Tesla for you. Sounds too cheap to be true? What you're actually buying is a tiny replica of The Rock's head, designed to sit above the rearview mirror and trick Tesla into thinking an attentive driver is behind the wheel. Tesla's self-driving system appears unable to tell the difference between the figurines and a real person, allowing the actual driver to look away from the road, scroll through their phone, or even doze off--activities that are supposed to be prohibited while assisted-driving features are engaged.

SpaceX's stock market debut has thrust the richest man in the universe into an unexplored frontier of wealth. There are thousands of billionaires across the world. But there is only one trillionaire. Elon Musk became the first person to amass a personal fortune of over $1,000,000,000,000--that's 12 zeros--after shares of his rocket company SpaceX debuted on the Nasdaq stock exchange on Friday. SpaceX's initial public offering on Thursday valued the company at nearly $1.8 trillion, up from its most recent private valuation of around $1.25 trillion.

GOP lawmakers, tech investors, and even OpenAI have tied the anti-data-center movement in the US to Chinese interference. Experts say it's much more complicated than that. Right-wing officials and data center investors are increasingly claiming that data center protests are being funded and influenced by the Chinese government. OpenAI added to the discourse on Wednesday when it released a report describing a cluster of accounts originating in China that, the company said, had been spreading anti-data-center messages on social media. Experts who spoke to WIRED, however, are skeptical of the funding claims.

Neural Combinatorial Optimization (NCO) has emerged as a promising learning-based paradigm for addressing Vehicle Routing Problems (VRPs) by minimizing the need for extensive manual engineering. While existing NCO methods, trained on small-scale instances (e.g., 100 nodes), have demonstrated considerable success on problems of similar scale, their performance significantly degrades when applied to large-scale scenarios. This degradation arises from the distributional shift between training and testing data, rendering policies learned on small instances ineffective for larger problems. To overcome this limitation, we introduce a novel learning framework driven by Large Language Models (LLMs). This framework learns a projection between the training and testing distributions, which is then deployed to enhance the scalability of the NCO model. Notably, unlike prevailing techniques that necessitate joint training with the neural network, our approach operates exclusively during the inference phase, obviating the need for model retraining. Extensive experiments demonstrate that our method enables a backbone model (trained on 100-node instances) to achieve superior performance on large-scale Traveling Salesman Problem (TSP) and Capacitated Vehicle Routing Problem (CVRP) of up to 100K nodes from diverse distributions.

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We can no longer ignore the growing threat of fully autonomous weapons. Should drones be allowed to kill autonomously? For years, we have had unconfirmed reports and rumours that AI-controlled weapons have killed soldiers on the battlefield without a human in the loop. Now, we know it has happened. As we report here, the use of autonomous killers in a test exercise marks a watershed in warfare .