US Auto Safety Agency Reviewing Tesla Answers on Robotaxi Deployment Plans

FILE PHOTO: The logo of Tesla is seen on a store in Paris, France, October 30, 2020. REUTERS/Charles Platiau/File Photo
FILE PHOTO: The logo of Tesla is seen on a store in Paris, France, October 30, 2020. REUTERS/Charles Platiau/File Photo
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US Auto Safety Agency Reviewing Tesla Answers on Robotaxi Deployment Plans

FILE PHOTO: The logo of Tesla is seen on a store in Paris, France, October 30, 2020. REUTERS/Charles Platiau/File Photo
FILE PHOTO: The logo of Tesla is seen on a store in Paris, France, October 30, 2020. REUTERS/Charles Platiau/File Photo

US highway safety regulators are reviewing answers Tesla gave in response to the agency's questions about the safety of its self-driving robotaxi in poor weather, the agency said on Friday, ahead of plans to deploy the vehicles as soon as this weekend.

Tesla has sent invitations to a small group of people to join in a limited test of its robotaxi service in Austin, Texas, which is tentatively set to start on Sunday, according to posts and email screenshots on social media.

In a letter last month, NHTSA asked Tesla to answer detailed questions by June 19 on its plans to launch paid robotaxi service in Austin, to assess how the electric vehicle maker's cars with full self-driving technology will perform in poor weather, Reuters said.

The agency said it has received Tesla's response "and is in the process of reviewing it. Once our review has been completed the public file will be updated."

Tesla did not immediately respond to a request for comment.

The invitations said a Tesla employee will accompany riders in the front passenger seat, the posts showed. NHTSA asked Tesla if vehicles "will be supervised or otherwise monitored by Tesla in real time."

NHTSA has been investigating Tesla full self-driving collisions in reduced roadway visibility conditions since October. The probe covers 2.4 million Tesla vehicles equipped with full self-driving technology after four reported collisions, including a 2023 fatal crash.

The agency said in May it was seeking additional information about Tesla's development of robotaxis "to assess the ability of Tesla's system to react appropriately to reduced roadway visibility conditions" as well details on robotaxi deployment plans and the technology being used.

NHTSA said in May it wants to know how many vehicles will be used as robotaxis and the expected timetable for availability of robotaxi technology for vehicles controlled by people other than Tesla.

NHTSA's letter asked Tesla to describe how it intends to ensure the safety of robotaxi operations in reduced roadway visibility conditions such as sun glare, fog, airborne dust, rain, or snow. It also wants to know what happens if poor visibility is encountered during a ride.

Tesla CEO Elon Musk has said he will focus on safety in the trial, with humans remotely monitoring the vehicles.



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


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.