What is the H-1B visa programme? The White House Peace Vigil is dismantled - why? Who said what at Charlie Kirk's memorial? Chipmaker Nvidia will invest up to $100bn in OpenAI and provide it with data center chips, a tie-up between two of the highest-profile leaders in the global artificial intelligence (AI) race. The deal, announced on Monday, will see Nvidia start delivering chips as soon as late 2026 and will involve two separate but intertwined transactions, according to a person close to OpenAI. The first $10bn of Nvidia's investment in OpenAI, which was most recently valued at $500bn, will begin when the two companies reach a definitive agreement for OpenAI to purchase Nvidia chips. Nvidia did not respond to immediate requests for clarification about the deal.

On this episode of, we discuss OpenAI's new teen safety features, the right's retaliation against critics of the late Charlie Kirk, and more of the week's biggest stories. Charlie Kirk (R) shaking hands with US President Donald Trump as he speaks on stage at America Fest 2024 in Phoenix, Arizona. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. In today's episode, our host Zöe Schiffer is joined by WIRED's senior culture editor Manisha Krishnan to run through five of the best stories we published this week--from OpenAI implementing teen safety features to how human design is the new astrology. Zöe and Manisha also discuss the reverberating reactions to Charlie Kirk's death and why the work of many creators, from comic book artists to late night show hosts, is getting cancelled.

Trump officials are expected to link the use of pain reliever Tylenol in pregnant women to autism, according to US media reports. At an Oval Office event on Monday, the US president will reportedly advise pregnant women in the US to only take Tylenol, known as paracetamol elsewhere, to relieve high fevers. At the Charlie Kirk memorial service on Sunday, Trump said he had an amazing announcement coming on autism, saying it was out of control but they might now have a reason why. Some studies have shown a link between pregnant women taking Tylenol and autism, but these findings are inconsistent and do not prove the drug causes autism. Tylenol is a popular brand of pain relief medication sold in the United States, Canada and some other countries.

Things to Do in L.A. Tap to enable a layout that focuses on the article. An unmanned Predator drone flies over Kandahar Air Field in southern Afghanistan in 2010. This is read by an automated voice. Please report any issues or inconsistencies here . MQ-9 Predator drones were deployed over Los Angeles to monitor anti-ICE protests in June.

WIRED's Politics Issue Cover Is Coming to a City Near You We're turning our latest cover into posters, billboards, and even a mural in New York, Los Angeles, Austin, San Francisco, and Washington, DC. Here's how to find it. Here at WIRED, we tend to stick to journalism. We talk about our work to anyone who will listen--during podcasts, on social media, over dinner with our politely listening friends--but we tend to confine our bragging to the scoops we get, the stories we write. For our new politics issue, though, we decided to do something different and bring WIRED's work to outside, to you, directly.

What does the White House's new roadmap for AI entail? Digital Dilemma What does the US's AI roadmap entail?

Nissan revamps ProPilot to rival Tesla's driver-assist technology Nissan Motor is on a mission under new CEO Ivan Espinosa to rebuild its business, and while refreshing its lineup is a key part of that, so is winning back customers who demand cutting-edge technology. Leveraging its partnership with Wayve Technologies, a U.K.-based artificial intelligence startup backed by SoftBank Group, Nissan is preparing to launch the newest generation of its ProPilot driver-assistance system during the fiscal year ending March 2028. The automaker says the most advanced iteration of its driver-assist technology will be on par with Tesla's Full Self-Driving, which despite its name requires human supervision and intervention. While the systems still amount to Level 2 autonomy -- meaning a person must always be ready to take over -- ProPilot amounts to Nissan's best foot forward in contending with the U.S. EV giant and Alphabet's Waymo in the race to build self-driving cars. In a time of both misinformation and too much information, quality journalism is more crucial than ever. By subscribing, you can help us get the story right.

How is Russia replenishing its military? What is a'coalition of the willing'? How China forgot promises and'debts' to Ukraine How are Europe, the US pulling apart on Ukraine? A Ukrainian drone attack killed three people and injured 16 near the town of Foros on the Crimean Peninsula, the Russian-appointed head of Crimea, Sergei Aksyonov, wrote in a post on Telegram. Russia's Ministry of Defence said the attack occurred "using strike drones equipped with high-explosive payloads", in a resort area "where there are no military targets whatsoever".

Recommender systems (RS), which are widely deployed across high-stakes domains, are susceptible to biases that can cause large-scale societal impacts. Researchers have proposed methods to measure and mitigate such biases -- but translating academic theory into practice is inherently challenging. RS practitioners must balance the competing interests of diverse stakeholders, including providers and users, and operate in dynamic environments. Through a semi-structured interview study (N=11), we map the RS practitioner workflow within large technology companies, focusing on how technical teams consider fairness internally and in collaboration with other (legal, data, and fairness) teams. We identify key challenges to incorporating fairness into existing RS workflows: defining fairness in RS contexts, particularly when navigating multi-stakeholder and dynamic fairness considerations. We also identify key organization-wide challenges: making time for fairness work and facilitating cross-team communication. Finally, we offer actionable recommendations for the RS community, including HCI researchers and practitioners.

Over the past decade, machine learning has undergone transformative advancements, primarily fueled by the development of sophisticated deep learning architectures and training methodologies. In parallel, Quantum Machine Learning (QML) has emerged as a field dedicated to exploring how quantum algorithms and quantum computing platforms can be utilized to process, model, and extract meaningful insights from data [9, 14, 65], and also generate new data [26, 59]. While efforts in QML primarily focused on leveraging quantum computing to accelerate classical machine learning tasks [19, 34], a significant and increasingly important direction involves the development of quantum models that operate directly on quantum data [7, 9, 41]. These models, tailored specifically to quantum data, are essential for realizing the full potential of quantum technologies, enabling applications in quantum information processing that are intractable with classical methods [25]. A notable model within QML for handling quantum data is the Quantum Autoencoder (QAE), which draws inspiration from its classical counterpart, the Autoen-coder (AE) [5, 58]. QAE has been applied to demonstrate how quantum circuits can be trained to compress quantum states, with applications to quantum simulation and quantum information [13, 29, 42, 44, 57]. Further developments extend these architectures to the denoising of entangled quantum states under realistic noise models [1, 10, 62, 63], along with proposals for error mitigation strategies tailored to Noisy Intermediate-Scale Quantum (NISQ) devices [46, 66]. Practical realizations of QAE in quantum hardware, such as nitrogen-vacancy centers, demonstrated robust compression and the preservation of entanglement, while significantly lengthening the coherence times of Bell states [67]. These two authors contributed equally.