AI Research Is Getting Harder to Separate From Geopolitics


The world’s top AI research conference, the Conference on Neural Information Processing Systems—better known as NeurIPS—became the latest organization this week to become embroiled in a growing clash between geopolitics and global scientific collaboration. The conference’s organizers announced and then quickly reversed controversial new restrictions for international participants after Chinese AI researchers threatened to boycott the event.

“This is a potential watershed moment,” says Paul Triolo, a partner at the advisory firm DGA-Albright Stonebridge who studies US-China relations. Triolo argues that attracting Chinese researchers to NeurIPS is beneficial to US interests, but some American officials have pushed for American and Chinese scientists to decouple their work—especially in AI, which has become a particularly sensitive topic in Washington.

The incident could deepen political tensions around AI research, as well as dissuade Chinese scientists from working at US universities and tech companies in the future. “At some level now it is going to be hard to keep basic AI research out of the [political] picture,” Triolo says.

In its annual handbook for paper submissions, issued in mid-March, NeurIPS organizers announced updated restrictions for participation. The rules stated that the event could not provide services including “peer review, editing, and publishing” to any organizations subject to US sanctions, and linked to a database of sanctioned entities. It included companies and organizations on the Bureau of Industry and Security’s entity list and those on another list with alleged ties to the Chinese military.

The new rules would have affected researchers at Chinese companies like Tencent and Huawei who regularly present work at NeurIPS. The database also includes entities from other countries such as Russia and Iran. The US places limits on doing business with these organizations, but there are no rules around academic publishing or conference participation.

The NeurIPS handbook has since been updated to specify that the restrictions apply only to Specially Designated Nationals and Blocked Persons, a list used primarily for terrorist groups and criminal organizations.

“In preparing the NeurIPS 2026 handbook, we included a link to a US government sanctions tool that covers a significantly broader set of restrictions than those NeurIPS is actually required to follow,” the event’s organizers said in a statement issued Friday. “This error was due to miscommunication between the NeurIPS Foundation and our legal team.”

Before they reversed course, the conference organizers initially said that the new rule was “about legal requirements that apply to the NeurIPS Foundation, which is responsible for complying with sanctions,” adding that it was seeking legal consultation on the issue.

Immediate Backlash

The new rule drew swift backlash from AI researchers around the world, particularly in China, which produces a large quantity of cutting-edge machine learning papers and is home to a growing share of the world’s top AI talent. Several academic groups there issued statements condemning the measure and, more importantly, discouraging Chinese academics from attending NeurIPS in the future. Some urged Chinese academics to contribute instead to domestic research conferences, potentially helping increase the country’s influence in relevant science and tech fields.

The China Association of Science and Technology (CAST), an influential government-affiliated organization for scientists and engineers, said Thursday that it would stop providing funding for Chinese scholars traveling to attend NeurIPS and would use the money instead to support domestic and international conferences that “respect the rights of Chinese scholars.”

CAST also said it will no longer count publications at the 2026 NeurIPS conference as academic achievements when evaluating future research funding. It’s unclear if the organization will reverse course now that NeurIPS has walked back the new rule.

iPhone Air Sells Out in China


Apple’s iPhone Air sold out across online stores in China within hours of pre-orders opening on Friday, the South China Morning Post reports.

iPhone Air Text
Demand for the ‌iPhone Air‌ reportedly surged immediately after pre-orders opened. Apple’s online store and the official Tmall flagship both listed multiple color and storage configurations as unavailable within the first two hours of availability, reflecting even higher demand than the device saw in western markets last month. Prices begin at 7,999 yuan (approximately $1,122).

The ‌iPhone Air‌ was introduced globally in September but delayed in mainland China pending government approval for eSIM, which replaces physical SIM cards and enables slimmer smartphone designs.

The launch coincides with the Ministry of Industry and Information Technology’s decision to authorize eSIM trials for smartphones, marking the first time Chinese users can activate a mobile number without a physical SIM card. China Mobile, China Unicom, and China Telecom confirmed this week that they had received approval to begin commercial operations, paving the way for the ‌iPhone Air‌ to launch without regulatory restrictions.

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How Supercomputing Will Evolve, According to Jack Dongarra


Quantum computing is interesting. It’s really a wonderful area for research, but my feeling is we have a long way to go. Today we have examples of quantum computers—hardware always arrives before software—but those examples are very primitive. With a digital computer, we think of doing a computation and getting an answer. The quantum computer is instead going to give us a probability distribution of where the answer is, and you’re going to make a number of, we’ll call it runs on the quantum computer, and it’ll give you a number of potential solutions to the problem, but it’s not going to give you the answer. So it’s going to be different.

With quantum computing, are we caught in a moment of hype?

I think unfortunately it’s been oversold—there’s too much hype associated with quantum. The result of that typically is that people will get all excited about it, and then it doesn’t live up to any of the promises that were made, and then the excitement will collapse.

We’ve seen this before: AI has gone through that cycle and has recovered. And now today AI is a real thing. People use it, it’s productive, and it’s going to serve a purpose for all of us in a very substantial way. I think quantum has to go through that winter, where people will be discouraged by it, they’ll ignore it, and then there’ll be some bright people who figure out how to use it and how to make it so that it is more competitive with traditional things.

There are many issues that have to be worked out. Quantum computers are very easy to disturb. They’re going to have a lot of “faults”—they will break down because of the nature of how fragile the computation is. Until we can make things more resistant to those failures, it’s not going to do quite the job that we hope that it can do. I don’t think we’ll ever have a laptop that’s a quantum laptop. I may be wrong, but certainly I don’t think it’ll happen in my lifetime.

Quantum computers also need quantum algorithms, and today we have very few algorithms that can effectively be run on a quantum computer. So quantum computing is at its infancy, and along with that the infrastructure that will use the quantum computer. So quantum algorithms, quantum software, the techniques that we have, all of those are very primitive.

When can we expect—if ever—the transition from traditional to quantum systems?

So today we have many supercomputing centers around the world, and they have very powerful computers. Those are digital computers. Sometimes the digital computer gets augmented with something to enhance performance—an accelerator. Today those accelerators are GPUs, graphics processing units. The GPU does something very well, and it just does that thing well, it’s been architected to do that. In the old days, that was important for graphics; today we’re refactoring that so that we can use a GPU to satisfy some of the computational needs that we have.

NVIDIA, AMD may soon start selling new AI chips in China to comply with US restrictions


To comply with the U.S.’ restrictions on exporting advanced semiconductor technology to China, chipmakers NVIDIA and AMD will soon begin selling new GPUs made for AI workloads in China, Taiwanese tech publication Digitimes reported, citing supply chain sources.

NVIDIA plans to sell a stripped-down AI GPU, code-named “B20,” while AMD is looking to target AI workload needs with its new Radeon AI PRO R9700 workstation GPU, Digitimes reported, adding that the companies will likely start selling these AI chips in China from July.

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NVIDIA on Wednesday said it had incurred a $4.5 billion charge in Q1 due to licensing requirements impacting its ability to sell its H20 AI chip to companies in China, and it couldn’t ship an additional $2.5 billion of H20 chips in the quarter due to the restrictions. The company forecast that licensing requirements would result in an $8 billion hit to the company’s revenue in Q2.

Cybersecurity Professor Faced China-Funding Inquiry Before Disappearing, Sources Say


Jason Covert, one of attorneys representing Xiaofeng Wang and his wife, Nianli Ma, a library systems analyst whose employee profile was also removed by Indiana University, tells WIRED that Wang and Ma are both “safe” and that neither of them have been arrested. Their legal team is not currently aware of any pending criminal charges against them, and while the couple’s attorneys have viewed a search warrant from the Department of Justice, Covert says they have not received a copy of the affidavit establishing probable cause.

Wang is considered among the top researchers in the field of privacy, data security, and biometric privacy, and his sudden disappearance came as a shock to many of his academic peers. Wang joined IU in 2004 and is the lead principal investigator of the multidisciplinary Center for Distributed Confidential Computing, which he established in 2022 with an almost $3 million grant from the National Science Foundation (NSF), according to a since-deleted bio on IU’s website. As part of his application for the NSF funding and other US federal research grants, Wang would have been required to disclose other grants he already received or were currently pending review.

On March 28, the FBI searched two home addresses associated with Wang. The same day, IU also reportedly terminated Wang’s job via an email sent by provost Rahul Shrivastav, which WIRED obtained and was first reported by The Indiana Daily Student. The email also said it was understood that Wang had recently accepted a position with a university in Singapore, a detail also repeated in the statement attributed to Li.

The statement says Wang planned to start at the unnamed Singaporean university on June 1, 2025 and requested a leave of absence from Indiana University in early March. But IU responded by “putting him on administrative leave, removing his IU homepage, and disabling his IU email address,” it claims.

Wang’s new job offer “would be irrelevant in any event because it is for [the] next academic year and would not justify firing him,” Tanford says. Terminating his employment via an email was a violation of university policy, Tanford claims, which prohibits firing a tenured professor without cause, and requires a 10-day notice and a hearing before a faculty board of review, if requested by the staff member. “The faculty is deeply concerned. If the administration can fire a tenured professor without due process and in violation of a policy approved by our trustees, none of us is safe,” he says.

Reached for comment, an IU spokesperson declined to answer detailed questions from WIRED about prior communications between the university and Wang and the school’s decision to fire him.

“Indiana University was recently made aware of a federal investigation of an Indiana University faculty member,” university spokesperson Mark Bode tells WIRED in an emailed statement. “At the direction of the FBI, Indiana University will not make any public comments regarding this investigation. In accordance with Indiana University practices, Indiana University will also not make any public comments regarding the status of this individual.”

Anthropic CEO says spies are after $100M AI secrets in a ‘few lines of code’


Anthropic’s CEO Dario Amodei is worried that spies, likely from China, are getting their hands on costly “algorithmic secrets” from the U.S.’s top AI companies — and he wants the U.S. government to step in.

Speaking at a Council on Foreign Relations event on Monday, Amodei said that China is known for its “large-scale industrial espionage” and that AI companies like Anthropic are almost certainly being targeted.

“Many of these algorithmic secrets, there are $100 million secrets that are a few lines of code,” he said. “And, you know, I’m sure that there are folks trying to steal them, and they may be succeeding.”

More help from the U.S. government to defend against this risk is “very important,” Amodei added, without specifying exactly what kind of help would be required.

Anthropic declined to comment to TechCrunch on the remarks specifically but referred to Anthropic’s recommendations to the White House’s Office of Science and Technology Policy (OSTP) earlier this month.

In the submission, Anthropic argues that the federal government should partner with AI industry leaders to beef up security at frontier AI labs, including by working with U.S. intelligence agencies and their allies.

The remarks are in keeping with Amodei’s more critical stance toward Chinese AI development. Amodei has called for strong U.S. export controls on AI chips to China while saying that DeepSeek scored “the worst” on a critical bioweapons data safety test that Anthropic ran.

Amodei’s concerns, as he laid out in his essay “Machines of Loving Grace” and elsewhere, center on China using AI for authoritarian and military purposes.

This kind of stance has led to criticism from some in the AI community who argue the U.S. and China should collaborate more, not less, on AI, in order to avoid an arms race that results in either country building a system so powerful that humans can’t control it.

DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot


The DeepSeek AI chatbot, released by a Chinese startup, has temporarily dethroned OpenAI’s ChatGPT from the top spot on Apple’s US App Store.

The app is completely free to use, and DeepSeek’s R1 model is powerful enough to be comparable to OpenAI’s o1 “reasoning” model, except DeepSeek’s chatbot is not sequestered behind a $20-a-month paywall like OpenAI’s is. Also, the DeepSeek model was efficiently trained using less powerful AI chips, making it a benchmark of innovative engineering.

I’ve tested many new generative AI tools over the past couple of years, so I was curious to see how DeepSeek compares to the ChatGPT app already on my smartphone. After a few hours of using it, my initial impressions are that DeepSeek’s R1 model will be a major disruptor for US-based AI companies, but it still suffers from the weaknesses common to other generative AI tools, like rampant hallucinations, invasive moderation, and questionably scraped material.

How to Access the DeepSeek Chatbot

Users interested in trying out DeepSeek can access the R1 model through the Chinese startup’s smartphone apps (Android, Apple), as well as on the company’s desktop website. You can also use the model through third-party services like Perplexity Pro. In the app or on the website, click on the DeepThink (R1) button to use the best model. Developers who want to experiment with the API can check out that platform online. It’s also possible to download a DeepSeek model to run locally on your computer.

In order to use all the consumer features, you will need to create a user account that tracks your chats. “We store the information we collect in secure servers located in the People’s Republic of China,” reads the company’s privacy policy. Check out this article from WIRED’s Security desk for a more detailed breakdown about what DeepSeek does with the data it collects. It’s worth keeping in mind that, just like ChatGPT and other American chatbots, you should always avoid sharing highly personal details or sensitive information during your interactions with a generative AI tool.

Is This Basically FreeGPT?

Yes and no! If you’re looking for a free chatbot to use, ChatGPT already includes plenty of free features. So does Anthropic’s Claude, Google’s Gemini, and Meta’s AI tool. So, why is the fact that DeepSeek is free notable? It’s about the raw power of the model that’s generating these free-for-now answers. As previously mentioned, DeepSeek’s R1 mimics OpenAI’s latest o1 model, without the $20-a-month subscription fee for the basic version and $200-a-month for the most capable model. This comes as a major blow to OpenAI’s attempt to monetize ChatGPT through subscriptions.

Another feature that’s similar to ChatGPT is the option to send the chatbot out into the web to gather links that inform its answers. DeepSeek does not have deals with publishers to use their content in answers; OpenAI does , including with WIRED’s parent company, Condé Nast. But the web search outputs were decent, and the links gathered by the bot were generally helpful.

Still, the current DeepSeek app does not have all the tools longtime ChatGPT users may be accustomed to, like the memory feature that recalls details from past conversations so you’re not always repeating yourself. DeepSeek also doesn’t have anything close to ChatGPT’s Advanced Voice Mode, which lets you have voice conversations with the chatbot, though the startup is working on more multimodal capabilities.

A Research Breakthrough, but Still Inaccurate

Though it may almost seem unfair to knock the DeepSeek chatbot for issues common across AI startups, it’s worth dwelling on how a breakthrough in model training efficiency does not even come close to solving the roadblock of hallucinations, where a chatbot just makes things up in its responses to prompts. Many of the outputs I generated included blatant falsehoods, confidently spewed out. For example, when I asked R1 what the model already knew about me without searching the web, the bot was convinced I’m a longtime tech reporter at The Verge. No shade, but not true!

DeepSeek vs. ChatGPT Hands On With DeepSeeks R1 Chatbot

Reece Rogers

A New Jam-Packed Biden Executive Order Tackles Cybersecurity, AI, and More


Four days before he leaves office, US president Joe Biden has issued a sweeping cybersecurity directive ordering improvements to the way the government monitors its networks, buys software, uses artificial intelligence, and punishes foreign hackers.

The 40-page executive order unveiled on Thursday is the Biden White House’s final attempt to kickstart efforts to harness the security benefits of AI, roll out digital identities for US citizens, and close gaps that have helped China, Russia, and other adversaries repeatedly penetrate US government systems.

The order “is designed to strengthen America’s digital foundations and also put the new administration and the country on a path to continued success,” Anne Neuberger, Biden’s deputy national security adviser for cyber and emerging technology, told reporters on Wednesday.

Looming over Biden’s directive is the question of whether president-elect Donald Trump will continue any of these initiatives after he takes the oath of office on Monday. None of the highly technical projects decreed in the order are partisan, but Trump’s advisers may prefer different approaches (or timetables) to solving the problems that the order identifies.

Trump hasn’t named any of his top cyber officials, and Neuberger said the White House didn’t discuss the order with his transition staff, “but we are very happy to, as soon as the incoming cyber team is named, have any discussions during this final transition period.”

The core of the executive order is an array of mandates for protecting government networks based on lessons learned from recent major incidents—namely, the security failures of federal contractors.

The order requires software vendors to submit proof that they follow secure development practices, building on a mandate that debuted in 2022 in response to Biden’s first cyber executive order. The Cybersecurity and Infrastructure Security Agency would be tasked with double-checking these security attestations and working with vendors to fix any problems. To put some teeth behind the requirement, the White House’s Office of the National Cyber Director is “encouraged to refer attestations that fail validation to the Attorney General” for potential investigation and prosecution.

The order gives the Department of Commerce eight months to assess the most commonly used cyber practices in the business community and issue guidance based on them. Shortly thereafter, those practices would become mandatory for companies seeking to do business with the government. The directive also kicks off updates to the National Institute of Standards and Technology’s secure software development guidance.

Another part of the directive focuses on the protection of cloud platforms’ authentication keys, the compromise of which opened the door for China’s theft of government emails from Microsoft’s servers and its recent supply-chain hack of the Treasury Department. Commerce and the General Services Administration have 270 days to develop guidelines for key protection, which would then have to become requirements for cloud vendors within 60 days.

To protect federal agencies from attacks that rely on flaws in internet-of-things gadgets, the order sets a January 4, 2027, deadline for agencies to purchase only consumer IoT devices that carry the newly launched US Cyber Trust Mark label.

Apple Discounts Products in China Amid Fierce Competition


Apple has announced rare direct discounts on its flagship iPhone models and other products in China, signaling an effort to counter mounting competition and fluctuating consumer demand in one of its largest markets.

iPhone 16 Pro
Between January 4 and January 7, Apple will provide discounts of up to 500 yuan (approximately $68) on the iPhone 16 Pro and ‌iPhone 16 Pro‌ Max models through its website and Apple Stores in mainland China. The iPhone 16 and ‌iPhone 16‌ Plus models will be discounted by 400 yuan, while iPhone 14 and iPhone 15 models will receive markdowns of up to 300 yuan. Other products, including the MacBook Air, iPad, Apple Watch, AirPods, and Apple Pencil, will also see price reductions, with the ‌MacBook Air‌ eligible for a discount of up to 800 yuan. The promotional items are available in limited quantities, with only 29,300 iPhones included in the sale. The promotion is tied to specific payment methods, such as WeChat Pay and Alipay.

Apple rarely offers direct discounts on its latest products, particularly its flagship ‌iPhone‌ models. Such promotions are usually handled by third-party retailers in China, especially during major shopping events like Singles Day, when platforms like Alibaba’s Tmall and Pinduoduo slash prices to drive sales. For instance, during the last Singles Day shopping festival in November, ‌iPhone 16‌ models were discounted by as much as 1,600 yuan on Tmall. The timing of the latest promotion comes as Apple faces heightened competition from Huawei and other Chinese brands, although the company did offer a similar promotion last year.

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Cybercriminals Pose a Greater Threat of Disruptive US Election Hacks Than Russia or China


Russian, Chinese, and Iranian state-backed hackers have been active throughout the 2024 United States campaign season, compromising digital accounts associated with political campaigns, spreading disinformation, and probing election systems. But in a report from early October, the threat-sharing and coordination group known as the Election Infrastructure ISAC warned that cybercriminals like ransomware attackers pose a far greater risk of launching disruptive attacks than foreign espionage actors.

While state-backed actors were emboldened following Russia’s meddling in the 2016 US presidential election, the report points out that they favor intelligence-gathering and influence operations rather than disruptive attacks, which would be viewed as direct hostility against the US government. Ideologically and financially motivated actors, on the other hand, generally aim to cause disruption with hacks like ransomware or DDoS attacks.

The document was first obtained by the national security transparency nonprofit Property of the People and viewed by WIRED. The US Department of Homeland Security, which contributed to the report and distributed it, did not return WIRED’s requests for comment. The Center for Internet Security, which runs the Election Infrastructure ISAC, declined to comment.

“Since the 2022 midterm elections, financially and ideologically motivated cyber criminals have targeted US state and local government entity networks that manage or support election processes,” the alert states. “In some cases, successful ransomware attacks and a distributed denial-of-service (DDoS) attack on such infrastructure delayed election-related operations in the affected state or locality but did not compromise the integrity of voting processes … Nation-state-affiliated cyber actors have not attempted to disrupt US elections infrastructure, despite reconnaissance and occasionally acquiring access to non-voting infrastructure.”

According to DHS statistics highlighted in the report, 95 percent of “cyber threats to elections” were unsuccessful attempts by unknown actors. Two percent were unsuccessful attempts by known actors, and 3 percent were successful attempts “to gain access or cause disruption.” The report emphasizes that threat intelligence sharing and collaboration between local, state, and federal authorities help prevent breaches and mitigate the fallout of successful attacks.

In general, government-backed hackers may stoke geopolitical tension by conducting particularly aggressive digital espionage, but their activity isn’t inherently escalatory so long as they are abiding by espionage norms. Criminal hackers are bound by no such restrictions, though they can call too much attention to themselves if their attacks are too disruptive and risk a law enforcement crackdown.