China's Growing 'Robotaxi' Fleet Sparks Concern, Wonder on Streets

The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)
The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)
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China's Growing 'Robotaxi' Fleet Sparks Concern, Wonder on Streets

The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)
The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)

Turning heads as they cruise past office buildings and malls, driverless taxis are slowly spreading through Chinese cities, prompting both wariness and wonder.

China's tech companies and automakers have poured billions of dollars into self-driving technology in recent years in an effort to catch industry leaders in the United States.

Now the central city of Wuhan boasts one of the world's largest networks of self-driving cars, home to a fleet of over 500 taxis that can be hailed on an app just like regular rides.

At one intersection in an industrial area of Wuhan, AFP reporters saw at least five robotaxis passing each other as they navigated regular traffic.

"It looks kind of magical, like a sci-fi movie," a local surnamed Yang told AFP.

But not everyone shares Yang's awe.

Debate around safety was sparked in April when a Huawei-backed Aito car was involved in a fatal accident, with the company saying its automatic braking system failed.

A minor collision between a jaywalker and a Wuhan robotaxi last month re-ignited concerns.

Taxi drivers and workers in traditional ride-hailing companies have also raised fears of being replaced by artificial intelligence -- although the technology is far from fully developed.

- Five to 500 -

Wuhan's driverless cabs are part of tech giant Baidu's Apollo Go project, which first received licenses to operate in the city in 2022.

Initially only five robocars ferried passengers around 13 square kilometers (five square miles) of the city of around 14 million.

Baidu says the taxis now operate in a 3,000 square kilometer patch -- more than a third of the total land area of Wuhan, including a small part of the city center.

In comparison, US leader Waymo says the largest area it covers is 816 square kilometers, in Arizona.

When a car reaches its pickup point, riders scan a QR code with their phones to unlock the vehicle -- with the front seats blocked off over safety concerns.

The fares are currently heavily discounted, with a thirty-minute ride taken by AFP costing just 39 yuan ($5.43) compared with 64 yuan in a normal taxi.

"They are stealing our rice bowls, so of course we don't like them," Wuhan taxi driver Deng Haibing told AFP, using a popular Chinese term for livelihoods.

Deng said he fears robotaxi companies will push traditional drivers out of business with subsidized fares, before raising prices once they achieve domination -- similar to the strategy employed by ride-hailing apps in the 2010s.

"Currently the impact isn't too big because robotaxis aren't fully popularized and can't drive everywhere yet," Deng said.

- 'Simply not ready' -

The robotaxi fleet is a tiny fraction of the tens of thousands of taxis and ride-hailing cars in Wuhan.

More and more Chinese cities are rolling out policies to promote self-driving services though, part of a national push for tech supremacy.

Baidu and domestic rival Pony.ai have for years tested models of varying autonomy levels in industrial parks around the country.

Shanghai issued its first batch of provisional permits for fully driverless cars last month, and the capital Beijing has approved fully autonomous robotaxis in suburban areas.

The southwest city of Chongqing and southern tech hub of Shenzhen also have pilot projects underway.

Technology wise, there's still a long way to go before self-driving taxis become ubiquitous though, according to Tom Nunlist, tech policy analyst at Trivium China.

"Everybody seems to think autonomous driving is inevitable at this point, and frankly, I don't know that it is," he told AFP.

"Presently fully autonomous driving tech is simply not ready for large-scale deployment," he said.

Even in Wuhan's Apollo Go taxis -- which can spot obstacles and wait scrupulously at intersections -- ultimate responsibility for safety still lies with human officers monitoring rides remotely.

During one ride in an Apollo Go car, one manipulated the car's built-in touchscreen to remind AFP reporters to put on their seatbelts.

"Safety personnel provide strong assurances for your ride via remote 5G assistance technology," the Apollo Go app tells users.

Robotaxis are also far from able to replicate the human touch.

"Some customers have disabilities and (driverless cars) definitely wouldn't be able to help them, and some passengers are carrying large items," ride-hailing driver Zhao told AFP.

"Only a human can help."



Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.


Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
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Uber, Lyft to Test Baidu Robotaxis in UK from Next Year 

A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)
A sign of Baidu is pictured at the company's headquarters in Beijing, China March 16, 2023. (Reuters)

Uber Technologies and Lyft are teaming up with Chinese tech giant Baidu to try out driverless taxis in the UK next year, marking a major step in the global race to commercialize robotaxis.

It highlights how ride-hailing platforms are accelerating autonomous rollout through partnerships, positioning London as an early proving ground for large-scale robotaxi services ‌in Europe.

Lyft, meanwhile, plans ‌to deploy Baidu's ‌autonomous ⁠vehicles in Germany ‌and the UK under its platform, pending regulatory approval. Both companies have abandoned in-house development of autonomous vehicles and now rely on alliances to accelerate adoption.

The partnerships underscore how global robotaxi rollouts are gaining momentum. ⁠Alphabet's Waymo said in October it would start ‌tests in London this ‍month, while Baidu ‍and WeRide have launched operations in the ‍Middle East and Switzerland.

Robotaxis promise safer, greener and more cost-efficient rides, but profitability remains uncertain. Public companies like Pony.ai and WeRide are still loss-making, and analysts warn the economics of expensive fleets could pressure margins ⁠for platforms such as Uber and Lyft.

Analysts have said hybrid networks, mixing robotaxis with human drivers, may be the most viable model to manage demand peaks and pricing.

Lyft completed its $200 million acquisition of European taxi app FreeNow from BMW and Mercedes-Benz in July, marking its first major expansion beyond North America and ‌giving the US ride-hailing firm access to nine countries across Europe.