Month: May 2024

Washington — Aleksander Dugin, a Russian nationalist ideologue and strong supporter of President Vladimir Putin, has been bombarded with attacks on Chinese social media, where netizens criticized and mocked his Russian expansionist views that had once included the dismembering of China.

Two years after Putin launched an invasion of Ukraine, pro-Russia sentiment has been prevalent on Chinese internet.

But the backlash against Dugin has revealed a less mentioned side of what has so far appeared to be a cozy alliance between Beijing and Moscow — hostility between Chinese nationalists and their Russian counterparts, the result of centuries of territorial disputes and political confrontations that Beijing has been reticent about displaying publicly in recent decades.

On May 6, Dugin opened an account on two of the most popular Chinese social media apps Weibo, China’s X, formerly known as Twitter, and Bilibili, a YouTube-like video site.

In the first video posted on both Weibo and Bilibili, Dugin greeted the Chinese audience and praised Beijing’s economic and political achievements in recent decades.

In the same video, he also criticized an article published in April in The Economist by Feng Yujun, director of Russian and Central Asian studies at Fudan University in Shanghai. Feng said in the article that Russia will inevitably lose the Ukraine war.

Dugin countered that Feng and some Chinese people underestimated Russia’s “tenacity and perseverance.”

The video was quickly condemned by Chinese citizens, who posted comments such as “Russia must lose,” which received thousands of likes.

“This is an extremist who is extremely unfriendly to China and has made plans to dismember China,” another message posted by a Weibo user named “Zhixingbenyiti” said.

Dugin, 62, was born in Moscow. In the 1980s, he became an anti-communist dissident.

After the collapse of the Soviet Union, he began to promote Russian expansionism. He believes that Moscow’s territorial expansion in Eurasia will allow it to counter Western forces led by the United States.

In his 1997 book, Foundations of Geopolitics, Dugin wrote that dismembering China was a necessary step for Russia to become strong. People within Putin’s inner circle have reportedly shown interest in Dugin’s writing, which gave rise to his nickname “Putin’s brain.”

However, Dugin’s attitude toward China has changed significantly in recent years. In 2018, he visited China for the first time. In a speech at Fudan University, he praised China’s economy, culture and leadership in the fight against colonialism.

He also changed his previous support for containing China and said in a speech that China and Russia could work together to “form a very important and non-negligible containment/pull effect” on Western powers.

Dugin is now a senior fellow at Fudan University’s China Institute and one of the columnists for China’s nationalist news organization, Guancha.

Before Russia invaded Ukraine in February 2022, Dugin said in a column that the alliance between China and Russia would “mean the irreversible end of Western hegemony.”

Philipp Ivanov, a senior fellow at the Asia Society Policy Institute, told VOA that “Dugin is an opportunist. As the Ukraine war dramatically accelerated the alignment between China and Russia, his position started to change, resulting in his current attempt to engage with China’s intellectual and broader community.”

Ivanov also thinks Dugin’s influence on the Kremlin has been exaggerated.

Since joining Chinese social media, Dugin has gained more than 100,000 followers on Weibo and 25,000 followers on BiliBili. He has published fewer than five posts on Weibo, but nearly every one of them has more than 1,000 comments, most of which criticized him.

Under a post in which Dugin supported Putin on his fifth presidential term, people responded with comments such as “Russia is about to lose the war” and “The gates of hell are waiting for you.”

Wang Xiaodong, China’s most influential nationalist scholar, shared a Weibo post he made two years ago criticizing Dugin and Chinese pro-Russian groups.

“Introducing Dugin’s ideas is not because I worry that the Kremlin will implement his ideas; He has the intention but not the strength! I just want to tell the Chinese people how some Russians, including elites in the powerful departments, view China. Do we Chinese need to risk our lives for them?” the post read.

Ivanov was not surprised by the attacks on Dugin on the Chinese internet.

“While Chinese netizens may support Putin’s anti-Western/anti-US agenda, they are skeptical or outright negative about Russia’s assault on an independent country’s sovereignty and Russian expansionism, nationalism and chauvinism (which Dugin represents),” he told VOA in an email.

He said the history of China-Russia relations is predominantly about confrontation, competition and mistrust.

Among the attacks on Dugin, many netizens also brought up former Chinese territories that Russia occupied in the past 200 years.

“For the sake of ever-lasting friendship between China and Russia, please return Sakhalin and Vladivostok,” one Weibo comment posted by “lovejxcecil” read.

Although China has not been involved in the war, the Russia-Ukraine war has been a hot topic on the Chinese internet.

According to Eric Liu, a former Weibo censor, Dugin’s joining the platform undoubtedly brought more traffic to Weibo. However, it also means that Weibo needs to invest more resources in censorship to prevent him from making remarks that Beijing considers sensitive.

“He is a foreigner. He has no idea about China’s ‘political correctness’ or where the boundaries are,” Liu said. “This risk will have to be taken care of by Weibo, which brought him in.”

On Thursday, Dugin posted on Weibo that China and Russia could achieve “anything” together. His comment section has been turned off. 
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WASHINGTON — U.S. prosecutors on Thursday announced the arrests of an American woman and a Ukrainian man they say helped North Korea-linked IT workers posing as Americans to obtain remote-work jobs at hundreds of U.S. companies.

The U.S. Department of Justice (DoJ) said the elaborate scheme, aimed at generating revenue for North Korea in contravention of international sanctions, involved the infiltration of more than 300 U.S. firms, including Fortune 500 companies and banks, and the theft of the identities of more than 60 Americans.

A DoJ statement said the overseas IT workers also attempted to gain employment and access to information at two U.S. government agencies, although these efforts were “generally unsuccessful.”

An earlier State Department statement said the scheme had generated at least $6.8 million for North Korea. It said the North Koreans involved were linked to North Korea’s Munitions Industry Department, which oversees development of the country’s ballistic missiles, weapons production, and research and development programs.

An indictment filed in federal court in Washington last week and unsealed on Thursday said charges had been filed against Christina Marie Chapman, 49, of Litchfield Park, Arizona; Ukrainian Oleksandr Didenko, 27, of Kyiv; and three other foreign nationals.

A Justice Department statement said Chapman was arrested on Wednesday, while Didenko was arrested on May 7 by Polish authorities at the request of the United States, which is seeking his extradition.

The State Department announced a reward of up to $5 million for information related to Chapman’s alleged co-conspirators, who used the aliases Jiho Han, Haoran Xu and Chunji Jin, and another unindicted individual using the aliases Zhonghua and Venechor S.

Court records did not list lawyers for those arrested and it was not immediately clear whether they had legal representation.

The head of the Justice Department’s Criminal Division, Nicole Argentieri, said the alleged crimes “benefited the North Korean government, giving it a revenue stream and, in some instances, proprietary information stolen by the co-conspirators.”

The charges “should be a wakeup call for American companies and government agencies that employ remote IT workers,” she said in the statement.

It said the scheme “defrauded U.S. companies across myriad industries, including multiple well-known Fortune 500 companies, U.S. banks, and other financial service providers.”

The DoJ said Didenko was accused of creating fake accounts at U.S. IT job search platforms, selling them to overseas IT workers, some of whom he believed were North Korean. It said overseas IT workers using Didenko’s services were also working with Chapman.

Didenko’s online domain, upworksell.com, was seized Thursday by the Justice Department, the statement said.

The DOJ statement said the FBI executed search warrants for U.S.-based “laptop farms” – residences that hosted multiple laptops for overseas IT workers.

It said that through these farms, including one Chapman hosted from her home, U.S.-based facilitators logged onto U.S. company computer networks and allowed the overseas IT workers to remotely access the laptops, using U.S. IP addresses to make it appear they were in the United States.

The statement said search warrants for four U.S. residences associated with laptop farms controlled by Didenko were issued in the Southern District of California, the Eastern District of Tennessee, and Eastern District of Virginia, and executed between May 8 and May 10.

North Korea is under U.N. sanctions aimed at cutting funding for its missile and nuclear weapons programs and experts say it has sought to generate income illicitly, including through IT workers.

Confidential research by a now-disbanded U.N. sanctions monitoring panel seen by Reuters on Tuesday showed they had been investigating 97 suspected North Korean cyberattacks on cryptocurrency companies between 2017 and 2024, valued at some $3.6 billion.

The U.N. sanctions monitors were disbanded at the end of April after Russia vetoed renewal of their mandate.

A research report from a Washington think tank in April said North Korean animators may have helped create popular television cartoons for big Western firms despite international sanctions. 
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Protesters disrupted Google’s annual conference this week over the tech giant’s deal providing artificial intelligence and other services to the Israeli government. Matt Dibble reports from Mountain View, California. Camera: Matt Dibble.
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In Africa, about 15% of the population faces disability challenges despite advancements in technology. Limited infrastructure and high cost of assistive tech create barriers to digital access, leading to exclusion. A conference in Nairobi this week aims to help change that. Mohammed Yusuf reports.
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TAIPAI, TAIWAN — Taiwanese chipmaker TSMC said Thursday there was no damage to its facilities after an incident at its Arizona factory construction site where

a waste disposal truck driver was transported to a hospital.

Firefighters responded to a reported explosion Wednesday afternoon at the Taiwan Semiconductor Manufacturing Company plant in Phoenix, the Arizona Republic reported, citing the local fire department.

TSMC, the world’s largest contract chipmaker whose clients include Apple and Nvidia, said in a statement none of its employees or onsite construction workers had reported any related injuries.

“This is an active investigation with no additional details that can be shared at this time,” it added.

TSMC’s Taipei-listed shares pared earlier gains after the news and were last up around 0.8% on Thursday morning. TSMC last month agreed to expand its planned investment by $25 billion to $65 billion and to add a third Arizona plant by 2030.

The company will produce the world’s most advanced 2 nanometer technology at its second Arizona facility expected to begin production in 2028.
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SYDNEY — Researchers in New Zealand say that artificial intelligence, or AI, can help solve problems for patients and doctors.  

A new study from the University of Auckland says that an emerging area is the use of AI during operations using so-called “computer vision.”

The study, published in the journal Nature Medicine, says that artificial intelligence has the potential to identify abnormalities during operations and to unburden overloaded hospitals by enhancing the monitoring of patients to help them recover after surgery at home.

The New Zealand research details how AI “tools are rapidly maturing for medical applications.”  It asserts that “medicine is entering an exciting phase of digital innovation.”

The New Zealand team is investigating computer vision, which describes a machine’s understanding of videos and images. 

 

Dr. Chris Varghese, a doctoral researcher in the Department of Surgery at the Faculty of Medical and Health Sciences at the University of Auckland, led the AI research team.

He told VOA the technology has great potential.

“The use of AI in surgery is a really emerging field. We are seeing a lot of exciting research looking at what we call computer vision, where AI is trying to learn what surgeons see, what the surgical instruments look like, what the different organs look like, and the potential there is to identify abnormal anatomy or what the safest approach to an operation might be using virtual reality and augmented reality to plan ahead of surgeries, which could be really useful in cutting out cancers and things like that.”

Varghese said doctors in New Zealand are already using AI to help sort through patient backlogs.

 

“We are using automated algorithms to triage really long waiting lists,” he said. “So, getting people prioritized and into clinics ahead of time, based on need, so the right patients are seen at the right time.”

The researchers said there are limitations to the use of artificial intelligence because of concerns about data privacy and ethics.

The report concludes that “numerous apprehensions remain with regard to the integration of AI into surgical practice, with many clinicians perceiving limited scope in a field dominated by experiential” technology.

The study also says that “autonomous robotic surgeons…. is the most distant of the realizable goals of surgical AI systems.”
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Seafaring robots are increasingly used for tasks ranging from ocean exploration to rescue missions. Matt Dibble has the latest in this week’s episode of LogOn.
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WASHINGTON — U.S. President Joe Biden on Tuesday unveiled a bundle of steep tariff increases on an array of Chinese imports including electric vehicles, computer chips and medical products, risking an election-year standoff with Beijing in a bid to woo voters who give his economic policies low marks.

Biden will keep tariffs put in place by his Republican predecessor Donald Trump while ratcheting up others, including a quadrupling of EV duties to over 100%, the White House said in a statement. It cited “unacceptable risks” to U.S. economic security posed by what it considers unfair Chinese practices that are flooding global markets with cheap goods.

The new measures impact $18 billion in Chinese imported goods including steel and aluminum, semiconductors, batteries, critical minerals, solar cells and cranes, the White House said. The announcement confirmed earlier Reuters reporting.

The United States imported $427 billion in goods from China in 2023 and exported $148 billion to the world’s No. 2 economy, according to the U.S. Census Bureau, a trade gap that has persisted for decades and become an ever more sensitive subject in Washington.

“China’s using the same playbook it has before to power its own growth at the expense of others by continuing to invest, despite excess Chinese capacity and flooding global markets with exports that are underpriced due to unfair practices,” White House National Economic Adviser Lael Brainard told reporters on a conference call.

U.S. Trade Representative Katherine Tai said the revised tariffs were justified because China was continuing to steal U.S. intellectual property and in some cases had become “more aggressive” in cyber intrusions targeting American technology.

She said prior “Section 301” tariffs had minimal impact on U.S. economy-wide prices and employment, but had been effective in reducing U.S. imports of Chinese goods, while increasing imports from other countries.

But Tai recommended tariff exclusions for dozens of industrial machinery import categories from China, including 19 for solar product manufacturing equipment.

Even as Biden’s steps fell in line with Trump’s premise that tougher trade measures are warranted, the Democrat took aim at his opponent in November’s election.

The White House said Trump’s 2020 trade deal with China did not increase American exports or boost American manufacturing jobs, and it said the 10% across-the-board tariffs on goods from all points of origin that Trump has proposed would frustrate U.S. allies and raise prices. Trump has floated tariffs of 60% or higher on all Chinese goods.

Administration officials said their measures are “carefully targeted,” combined with domestic investment, plotted with close allies and unlikely to worsen a bout of inflation that has already angered U.S. voters and imperiled Biden’s re-election bid. They also downplayed the risk of retaliation from Beijing.

Biden has struggled to convince voters of the efficacy of his economic policies despite a backdrop of low unemployment and above-trend economic growth. A Reuters/Ipsos poll last month showed Trump had a 7 percentage-point edge over Biden on the economy.

Analysts have warned that a trade tiff could raise costs for EVs overall, hurting Biden’s climate goals and his aim to create manufacturing jobs.

Biden has said he wants to win this era of competition with China but not to launch a trade war that could hurt the mutually dependent economies. He has worked in recent months to ease tensions in one-on-one talks with Chinese President Xi Jinping.

Both 2024 U.S. presidential candidates have sharply departed from the free-trade consensus that once reigned in Washington, a period capped by China’s joining the World Trade Organization in 2001.

China has said the tariffs are counterproductive and risk inflaming tensions. Trump’s broader imposition of tariffs during his 2017-2021 presidency kicked off a tariff war with China.

As part of the long-awaited tariff update, Biden will increase tariffs this year under Section 301 of the Trade Act of 1974 from 25% to 100% on EVs, bringing total duties to 102.5%, from 7.5% to 25% on lithium-ion EV batteries and other battery parts and from 25% to 50% on photovoltaic cells used to make solar panels. “Certain” critical minerals will have their tariffs raised from nothing to 25%.

The tariffs on ship-to-shore cranes will rise to 25% from zero, those on syringes and needles will rise to 50% from nothing now and some personal protective equipment (PPE) used in medical facilities will rise to 25% from as little as 0% now. Shortages in PPE made largely in China hampered the United States’ COVID-19 response.

More tariffs will follow in 2025 and 2026 on semiconductors, whose tariff rate will double to 50%, as well as lithium-ion batteries that are not used in elective vehicles, graphite and permanent magnets as well as rubber medical and surgical gloves.

A step Biden previously announced to raise tariffs on some steel and aluminum products will take effect this year, the White House said.  

A number of lawmakers have called for massive hikes on Chinese vehicle tariffs. There are relatively few Chinese-made light-duty vehicles being imported now. Senate Banking Committee Chairman Sherrod Brown wants the Biden administration to ban Chinese EVs outright, over concerns they pose risks to Americans’ personal data.

U.S. Treasury Secretary Janet Yellen, who warned China in April that its excess production of EVs and solar products was unacceptable, said that such concerns were widely shared by U.S. allies and the actions were “motivated not by anti-China policy but by a desire to prevent damaging economic dislocation from unfair economic practices.” 
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As generative AI technologies like ChatGPT rapidly gain popularity, they are beginning to change the future of the job market. Some fear mass unemployment, but others see a bright future for human-AI cooperation. Maxim Adams has the story.
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Washington — Two Air Force fighter jets recently squared off in a dogfight in California. One was flown by a pilot. The other wasn’t.

That second jet was piloted by artificial intelligence, with the Air Force’s highest-ranking civilian riding along in the front seat. It was the ultimate display of how far the Air Force has come in developing a technology with its roots in the 1950s. But it’s only a hint of the technology yet to come.

The United States is competing to stay ahead of China on AI and its use in weapon systems. The focus on AI has generated public concern that future wars will be fought by machines that select and strike targets without direct human intervention. Officials say this will never happen, at least not on the U.S. side. But there are questions about what a potential adversary would allow, and the military sees no alternative but to get U.S. capabilities fielded fast.

“Whether you want to call it a race or not, it certainly is,” said Adm. Christopher Grady, vice chairman of the Joint Chiefs of Staff. “Both of us have recognized that this will be a very critical element of the future battlefield. China’s working on it as hard as we are.”

A look at the history of military development of AI, what technologies are on the horizon and how they will be kept under control:

From machine learning to autonomy

AI’s military roots are a hybrid of machine learning and autonomy. Machine learning occurs when a computer analyzes data and rule sets to reach conclusions. Autonomy occurs when those conclusions are applied to act without further human input.

This took an early form in the 1960s and 1970s with the development of the Navy’s Aegis missile defense system. Aegis was trained through a series of human-programmed if/then rule sets to be able to detect and intercept incoming missiles autonomously, and more rapidly than a human could. But the Aegis system was not designed to learn from its decisions and its reactions were limited to the rule set it had.

“If a system uses ‘if/then’ it is probably not machine learning, which is a field of AI that involves creating systems that learn from data,” said Air Force Lt. Col. Christopher Berardi, who is assigned to the Massachusetts Institute of Technology to assist with the Air Force’s AI development.

AI took a major step forward in 2012 when the combination of big data and advanced computing power enabled computers to begin analyzing the information and writing the rule sets themselves. It is what AI experts have called AI’s “big bang.”

The new data created by a computer writing the rules is artificial intelligence. Systems can be programmed to act autonomously from the conclusions reached from machine-written rules, which is a form of AI-enabled autonomy.

Testing an AI alternative to GPS navigation

Air Force Secretary Frank Kendall got a taste of that advanced warfighting this month when he flew on Vista, the first F-16 fighter jet to be controlled by AI, in a dogfighting exercise over California’s Edwards Air Force Base.

While that jet is the most visible sign of the AI work underway, there are hundreds of ongoing AI projects across the Pentagon.

At MIT, service members worked to clear thousands of hours of recorded pilot conversations to create a data set from the flood of messages exchanged between crews and air operations centers during flights, so the AI could learn the difference between critical messages like a runway being closed and mundane cockpit chatter. The goal was to have the AI learn which messages are critical to elevate to ensure controllers see them faster.

In another significant project, the military is working on an AI alternative to GPS satellite-dependent navigation.

In a future war high-value GPS satellites would likely be hit or interfered with. The loss of GPS could blind U.S. communication, navigation and banking systems and make the U.S. military’s fleet of aircraft and warships less able to coordinate a response.

So last year the Air Force flew an AI program — loaded onto a laptop that was strapped to the floor of a C-17 military cargo plane — to work on an alternative solution using the Earth’s magnetic fields.

It has been known that aircraft could navigate by following the Earth’s magnetic fields, but so far that hasn’t been practical because each aircraft generates so much of its own electromagnetic noise that there has been no good way to filter for just the Earth’s emissions.

“Magnetometers are very sensitive,” said Col. Garry Floyd, director for the Department of Air Force-MIT Artificial Intelligence Accelerator program. “If you turn on the strobe lights on a C-17 we would see it.”

The AI learned through the flights and reams of data which signals to ignore and which to follow and the results “were very, very impressive,” Floyd said. “We’re talking tactical airdrop quality.”

“We think we may have added an arrow to the quiver in the things we can do, should we end up operating in a GPS-denied environment. Which we will,” Floyd said.

The AI so far has been tested only on the C-17. Other aircraft will also be tested, and if it works it could give the military another way to operate if GPS goes down.

Safety rails and pilot speak

 

Vista, the AI-controlled F-16, has considerable safety rails as the Air Force trains it. There are mechanical limits that keep the still-learning AI from executing maneuvers that would put the plane in danger. There is a safety pilot, too, who can take over control from the AI with the push of a button.

The algorithm cannot learn during a flight, so each time up it has only the data and rule sets it has created from previous flights. When a new flight is over, the algorithm is transferred back onto a simulator where it is fed new data gathered in-flight to learn from, create new rule sets and improve its performance.

But the AI is learning fast. Because of the supercomputing speed AI uses to analyze data, and then flying those new rule sets in the simulator, its pace in finding the most efficient way to fly and maneuver has already led it to beat some human pilots in dogfighting exercises.

But safety is still a critical concern, and officials said the most important way to take safety into account is to control what data is reinserted into the simulator for the AI to learn from.
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