Tesla
Tesla FSD improvements in China continues with Baidu’s help
Tesla is working with Baidu to improve FSD in China, as strict data laws prevent Tesla from training its AI locally.
Baidu is helping Tesla Full Self-Driving (FSD) improve in China.
Engineers from Baidu, a leading AI company in China, are helping Tesla with its FSD Version 13 software.
According to Reuters’ sources, Baidu recently dispatched engineers from its mapping team to Tesla’s Beijing office. The engineers are working on integrating Baidu’s navigation map information with Tesla’s FSD V13 software.
Tesla’s way of improving FSD V13 in China differs from the methods used in the United States. In the U.S., Tesla trains FSD to improve navigation techniques and learn about roads. In contrast, Tesla cannot train FSD in China due to the country’s data laws.
“Then China, which is a gigantic market, we do have some challenges because they currently don’t allow us to transfer training videos outside of China. And then the US government won’t let us do training in China. So, we’re in a bit of a there. It’s like a quandary,” noted Elon Musk during the last earnings call.
“So, we were solving then is by literally looking at videos of streets in China that are available on the Internet to understand and then feeding that into our training so that publicly available video of street signs and traffic rules in China can be used for training and then also putting it in a very accurate simulator. And so, it will train using SIM for bus lanes in China,” he added.
Tesla has rolled out FSD (Supervised) in Mexico and started the process to release it in parts of Europe. Despite a few regulatory issues, Musk is optimistic that FSD (Unsupervised) will be available in more countries this year.
“But I think we’ll have unsupervised FSD in almost every market this year, limited simply by regulatory issues, not technical capability. And then unsupervised FSD in the U.S. this year, in many cities but nationwide next year. And hopefully, we have unsupervised FSD in most countries by the end of next year,” he noted during the Q4 and Full Year 2024 earnings call.
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Tesla back on top as Norway’s EV market surges to 98% share in February
Tesla became Norway’s top-selling brand with 1,210 registrations, representing a 16.6% share.
Tesla reclaimed the top spot in Norway’s auto market in February as electric vehicles captured more than 98% of all new car registrations.
The rebound follows a sharp January slump triggered by VAT rule changes, which prompted numerous car buyers to advance their purchases into late 2025.
As per data from the Norwegian Road Traffic Information Council (OFV), 7,127 new electric vehicles were registered in February, representing a 98.01% market share. Fossil-fuel vehicles and hybrids accounted for just 2% of total new registrations.
Total new car registrations reached 7,272 units in February, hinting at a rapid recovery after January sales fell nearly 75% year-over-year following VAT adjustments.
OFV Director Geir Inge Stokke noted that similar patterns were observed after previous VAT changes in 2022, with demand temporarily weakening before normalizing, as noted in an Allt Om Elbil report.
“We are now seeing signs that the market is returning to a more normal level of activity, which we also experienced after the VAT change in 2022. At that time, changes in demand led to a weak start to 2023. We have seen the same pattern this year,” he said.
Amidst this trend, the Tesla Model Y made a strong comeback in the domestic market. After an unusually weak January that saw the Tesla Model Y drop to seventh place, the model returned to the top of Norway’s sales chart in February.
The Model Y recorded 1,073 registrations, giving it a 14.8% market share for the month. Tesla also became Norway’s top-selling brand with 1,210 registrations, representing a 16.6% share. Toyota followed with 941 registrations, while Volkswagen, Volvo, and Skoda rounded out the top five brands.
The February data suggests that Tesla’s January dip was tied more to timing effects around VAT adjustments than to structural demand shifts. It would then be interesting to see how the rest of the year unfolds for Tesla, particularly as the company pushes for the release of its Full Self-Driving (Supervised) system to Europe this year.
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Tesla arson suspect pleads guilty, faces up to 70 years in prison
The update was announced by the U.S. Attorney’s Office for the District of Nevada.
A Las Vegas man has pleaded guilty to federal arson charges tied to a March 2025 attack on a Tesla Collision Center in Nevada.
The update was announced by the U.S. Attorney’s Office for the District of Nevada.
According to court documents, on March 18, 2025, Paul Hyon Kim spray-painted the word “RESIST” on the front entrance of the Tesla Collision Center before damaging the facility and multiple vehicles.
Federal prosecutors stated that Kim used a PA-15 multi-caliber firearm equipped with a .300 BLACKOUT upper receiver and a 7.62mm silencer to shoot out surveillance cameras. He then fired multiple rounds into Tesla vehicles on the property.
Authorities stated that Kim later threw three Molotov cocktails into three separate Tesla vehicles. Two of the devices exploded and ignited the vehicles, while a third did not detonate. In total, five Tesla vehicles were damaged in the incident.
Kim pleaded guilty to two counts of arson of property used in interstate commerce, one count of attempted arson of property used in interstate commerce, and one count of unlawful possession of an unregistered firearm classified as a destructive device.
The mandatory minimum sentence for the charges is five years in federal prison, though the total maximum statutory penalty is 70 years, as per a release from the United States Attorney’s Office of the District of Nevada.
Sentencing is scheduled for May 27, 2026, before U.S. District Judge Jennifer A. Dorsey. A federal judge will determine the final sentence after considering the U.S. Sentencing Guidelines and other statutory factors.
The case was investigated by the FBI, the Bureau of Alcohol, Tobacco, Firearms and Explosives, and the Las Vegas Metropolitan Police Department, with assistance from the Clark County Fire Department.
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Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.
Tesla’s Full Self-Driving (Supervised) system has now surpassed 8.4 billion cumulative miles.
The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.
Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system.
The milestone also brings Tesla closer to a benchmark previously outlined by CEO Elon Musk. Musk has stated that roughly 10 billion miles of training data may be needed to achieve safe unsupervised self-driving at scale, citing the “long tail” of rare but complex driving situations that must be learned through experience.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable.
As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
With the fleet now past 8.4 billion cumulative miles, Tesla’s supervised system is approaching that threshold, even as regulatory approval for fully unsupervised deployment remains subject to further validation and oversight.
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