Anthropic AI claims to have thwarted multiple malicious operations using its Claude models, ranging from cyber-espionage and weapons design to mass surveillance campaigns. On the conventional weapons front, the company alleges in a new report that it intervened in northern Yemen, blocking an effort to deploy Claude for missile guidance software, including a guided rocket and a long-range ballistic missile. According to Anthropic's threat report, the operators used Claude "in place of human software engineers", reportedly assigning different instances of the model specific roles to write missile-guidance and flight-control software. While internal safeguards blocked many requests, Anthropic admitted several slipped through. The operators avoided detection by obscuring their ultimate goals and breaking tasks across separate sessions, so no single prompt gave away the operation.

Autonomous excavators from Bedrock Robotics are doing commercial earthwork on active construction sites in Texas and Nevada with no operator in the cab.

X has discovered a bot farm network with 200,000 accounts on its platform as part of its Safety team's investigation into suspected inauthentic Chinese accounts. The company announced its findings on its Global Government Affairs page. It said that 200 accounts out of the 200,000 were posting comic strips, images and text about AI data centers in a manner that "could manipulate a legitimate debate about American AI and energy policy." Specifically, their posts talked about how AI data centers can drive up the prices of household electricity and strain the grids of towns nearby. They also posted AI-generated cartoons depicting data center operators as unscrupulous businessmen raking in profits from the facilities while average families shoulder the bill.

The UK's energy regulator is using a variety of tricks to keep speculative data center projects from plugging into the power grid. The country's AI ambitions hang in the balance. As data center developers compete for a cut of the hundreds of billions of dollars flowing into the artificial intelligence industry, the queue to join the UK's power grid has become jammed with projects that will likely never get built. The snarl is exacerbating already years-long wait times for viable projects, and it's messing with attempts to forecast energy demand and plan grid expansions. In July, the UK's energy regulator, Ofgem, laid out a proposal meant to force phantom data centers out of the swollen queue.

Agentic AI is no longer a research artifact. These systems are embedded in live infrastructure, clinical workflows, and legal processes: deleting databases, advising patients, and generating legal documents. Wrong outputs cannot simply be taken back. The central question has shifted from whether these systems are ready to make consequential decisions to who is accountable when they get those decisions wrong. The standard apparatus of fault-finding (identifying an actor, establishing a duty, connecting a breach to an injury) was built for a world in which agents are human, decisions are sequential, and causation is legible.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Say More Safety Net Creator Hub Versus Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series More than 4.6 million license plates appear in the website's collection of public Flock records. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.

Say More Creator Hub Gift Ideas For Everyone On Your List Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Mashable Selects Versus Switch Off Trending Now Safety Net In My Bag VidCon with Mashable All Series More and more cities are leaning on AI to help emergency operators. Chase joined Mashable's Social Good team in 2020, covering online stories about digital activism, climate justice, accessibility, and media representation. Modern emergency services systems lean on AI. New Orleans, home to more than 300,000 residents and an emergency system that handles thousands of calls each day, is turning to AI for help. The city recently confirmed that emergency services, overseen by the Orleans Parish Communication District, are deploying an AI triage tool to screen and sort incoming calls to assist human operators.

Undergrads' weed-killing robot wins top prize A team of Cornell undergraduates beat 95 other teams to take the grand prize at The Farm Robotics Challenge with their invention: an autonomous robot that kills weeds with electricity. Their robot can travel through a vineyard or orchard without a human operator, zapping weeds with a small amount of electricity, saving labor and energy and preventing crop loss, without the use of herbicides. Led by Andrew James, an agricultural sciences major in the College of Agriculture and Life Sciences (CALS), the team of agricultural specialists and engineers studied the existing electrical weeding technology, developed their own low-energy system and built a working prototype over the course of four intense months. Natalia Kurz, a biological engineering major in CALS, said the project required a lot of late nights. "There were fears for us, like, was it just going to be for nothing?"

Is the war entering a new phase? Patriot missile interceptors are the most coveted Western-made weapon Ukraine needs - right now and every night when Russia attacks. Frequent Russian strikes depleted Ukraine's stock of the pricey United States-made interceptors - and US President Donald Trump has now offered hope, giving Kyiv a licence to make them. We'll show them how to do it, it's very complex actually. But it's - you'll figure out the complexity quickly," Trump told Ukrainian President Volodymyr Zelenskyy at a NATO summit in Turkiye on Wednesday. "This way, you can't complain that we're not giving them enough." Trump has not specified when the production might start - and said that Washington would hold on to its own stash. Ukraine said it will attempt to master domestic production as soon as possible. In the short-term perspective, Ukraine "perhaps, gets nothing," according to Nikolay Mitrokhin, a researcher with Germany's Bremen University.

We establish approximation and learning guarantees for Fourier neural operators (FNOs) applied to time-$T$ solution operators of dissipative evolution equations. The analysis builds on the premise that FNOs can efficiently approximate and learn solution operators whenever these operators admit stable and accurate spectral discretizations. To formalize this idea, we introduce classes of evolution operators defined through spectral methods and derive FNO approximation bounds and polynomial sample complexity guarantees for these classes. For equations with polynomial nonlinearities, the learning rates depend primarily on the smoothness of the input space and the dimension of the physical domain. Our results hold uniformly over broad families of dissipative equations, rather than for a single fixed PDE, and apply in particular to the Navier--Stokes, Allen--Cahn, and Cahn--Hilliard equations. For equations with non-polynomial smooth nonlinearities, we prove that polynomial sample complexity still holds with rates that now additionally depend on the smoothness of the nonlinear terms and the dissipation strength. Overall, we connect classical spectral approximation theory with modern operator learning and explain when FNOs can learn nonlinear evolution operators efficiently.