The June 2025 briefing to Wes Streeting (2nd left) was released under the Freedom of Information Act. The June 2025 briefing to Wes Streeting (2nd left) was released under the Freedom of Information Act. NHS deal with AI firm Palantir called into question after officials' concerns revealed Health officials fear Palantir's reputation will hinder the delivery of a "vital" £330m NHS contract, according to briefings seen by the Guardian, sparking fresh calls for the deal to be scrapped. In 2023, ministers selected Palantir, a US surveillance technology company that also works for the Israeli military and Donald Trump's ICE operation, to build an AI-enabled data platform to connect disparate health information across the NHS . Now it has emerged that after Keir Starmer demanded faster deployment, Whitehall officials privately warned that the public perception of Palantir would limit its rollout, meaning the contract would not offer value for money.

The automaker has taken the covers off its Cayenne Electric and Cayenne Turbo Electric, the most powerful production Porsches ever. But it won't confirm a key AI feature of its first fully electric SUV. In the first nine months of 2025, Porsche's operating profit plummeted by 99 percent compared to the same stint the year before. Profit has tanked for the auto brand with a track record of making billions. The reasons for Porsche's misfortune are no secret.

Chatbots can pass the Turing test--but they can't yet handle an office worker's inbox. One morning last month, I decided to try artificial intelligence on a dire problem: my inbox. In the past twenty years, the e-mail address I use for writing projects has been discovered by a staggering number of P.R. firms, scammers, and strangers with eccentric requests. On this particular day, I had eight hundred and twenty-nine messages. Of the fifty most recent e-mails, the majority were dreck, but about eight were of actual interest, suggesting a hit rate of sixteen per cent--just enough that I had to worry about missing something important.

Whereas o1 was a major technological advancement, GPT-5 is, above all else, a refined product. During a press briefing, Sam Altman compared GPT-5 to Apple's Retina displays, and it's an apt analogy, though perhaps not in the way that he intended. Much like an unprecedentedly crisp screen, GPT-5 will furnish a more pleasant and seamless user experience. That's not nothing, but it falls far short of the transformative AI future that Altman has spent much of the past year hyping. In the briefing, Altman called GPT-5 "a significant step along the path to AGI," or artificial general intelligence, and maybe he's right--but if so, it's a very small step.

Stargate, the massive artificial intelligence (AI) infrastructure project recently unveiled by President Donald Trump, has begun production in Texas -- with data center construction in other states expected to be announced in the coming months. OpenAI, Softbank, Oracle and other partners' total investment of 500 million in the project will produce a large-scale network of campuses. Each campus will be designed in the roughly 1 gigawatt (GW) or greater range, a measurement of electricity that can power a minimum of 750,000 homes. During a recent press briefing on The Stargate Project attended by Fox News Digital, OpenAI announced that construction on the first site is underway in Abilene, Texas. Significant progress has been made in identifying additional locations.

In just a few years, Samsung has built up a substantial collection of artificial intelligence tricks, features and apps. While some of them have been impressive, like live translation and annotation, others (often involving generative AI) aren't actually helpful -- or notable -- enough to warrant regular use. The latest trio of Galaxy S flagship phones means another barrage of AI. Samsung has saved the best hardware for its S25 Ultra, of course, but the company also has smaller (and cheaper) flagships, with the Galaxy S25 ( 800) and larger S25 ( 1,000) both launching at the same time. And those AI features could be more crucial for the base S25 and larger S25 .

So much of this year felt like a fever dream: The attempted assassination of Donald Trump. Which is why, this year, I'm leaning into my nerdish tendencies and rounding up some good, interesting, or inspiring news stories from the science world--promising discoveries, exciting new data, historic events, and unsung heroes. In the hope of providing relief from the hell that has been 2024, here's a non-comprehensive list of the year's coolest science stories, both big and small: Wildlife filmmaker Carlos Gauna and University of California, Riverside, PhD student Phillip Sternes spotted what appears to be a baby great white shark off the coast of California last year. In January, the team published the photos in the journal Environmental Biology of Fishes. "Where white sharks give birth is one of the holy grails of shark science. No one has ever been able to pinpoint where they are born, nor has anyone seen a newborn baby shark alive," Gauna said in a UC Riverside press release.

Our society increasingly benefits from Artificial Intelligence (AI). Unfortunately, more and more evidence shows that AI is also used for offensive purposes. Prior works have revealed various examples of use cases in which the deployment of AI can lead to violation of security and privacy objectives. No extant work, however, has been able to draw a holistic picture of the offensive potential of AI. In this SoK paper we seek to lay the ground for a systematic analysis of the heterogeneous capabilities of offensive AI. In particular we (i) account for AI risks to both humans and systems while (ii) consolidating and distilling knowledge from academic literature, expert opinions, industrial venues, as well as laypeople -- all of which being valuable sources of information on offensive AI. To enable alignment of such diverse sources of knowledge, we devise a common set of criteria reflecting essential technological factors related to offensive AI. With the help of such criteria, we systematically analyze: 95 research papers; 38 InfoSec briefings (from, e.g., BlackHat); the responses of a user study (N=549) entailing individuals with diverse backgrounds and expertise; and the opinion of 12 experts. Our contributions not only reveal concerning ways (some of which overlooked by prior work) in which AI can be offensively used today, but also represent a foothold to address this threat in the years to come.

As key models in geometric deep learning, graph neural networks have demonstrated enormous power in molecular data analysis. Recently, a specially-designed learning scheme, known as Kolmogorov-Arnold Network (KAN), shows unique potential for the improvement of model accuracy, efficiency, and explainability. Here we propose the first non-trivial Kolmogorov-Arnold Network-based Graph Neural Networks (KA-GNNs), including KAN-based graph convolutional networks(KA-GCN) and KAN-based graph attention network (KA-GAT). The essential idea is to utilizes KAN's unique power to optimize GNN architectures at three major levels, including node embedding, message passing, and readout. Further, with the strong approximation capability of Fourier series, we develop Fourier series-based KAN model and provide a rigorous mathematical prove of the robust approximation capability of this Fourier KAN architecture. To validate our KA-GNNs, we consider seven most-widely-used benchmark datasets for molecular property prediction and extensively compare with existing state-of-the-art models. It has been found that our KA-GNNs can outperform traditional GNN models. More importantly, our Fourier KAN module can not only increase the model accuracy but also reduce the computational time. This work not only highlights the great power of KA-GNNs in molecular property prediction but also provides a novel geometric deep learning framework for the general non-Euclidean data analysis.

Rep. Dan Crenshaw, R-Texas, warned of the "real problem" Congress must tackle regarding drone security on Tuesday, following a House Intelligence Committee classified briefing on the mysterious sightings. "I think it's inaccurate for the Biden administration to say that they're absolutely sure that there's [sic] no problems here – they're not absolutely sure," Crenshaw told Fox News anchor Martha MacCallum on "The Story" Tuesday. "There's about 100 cases of these sightings that are still under under active investigation. Now, keep in mind, there was like 6,000 before a lot of them had been assessed to just be planes, manned aircraft, things like that… satellites. As a member of the House Intelligence Committee, Crenshaw emphasized that one of the "biggest problems" in addressing drone security is the lack of a clear "legal framework." A map depicts the various locations mystery drones have been spotted in Northeastern USA in December 2024. "Since 2017, 2018, we've given the federal government authority to detect and mitigate drone activity across the United States, but that tends to be pretty limited," said Crenshaw. "So DOJ has authority, DOD has authority, DOE - Department of Energy - has authority, DHS has some authority.