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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.

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Credit: Tesla China/Weibo

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.

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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.

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Elon Musk

Tesla AI boss reveals how big Optimus is going to get

Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.

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Tesla Optimus Gen 3 [Credit: Tesla]

Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”

The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.

The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.

Tesla Optimus project fires up as Musk sees production line progress

Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.

Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.

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Tesla just built it 10 millionth car

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Credit: Tesla

Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.

In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.

Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.

The 10 millionth vehicle was a Diamond Black Model Y.

Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.

This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.

Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.

Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.

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Elon Musk

Elon Musk responds to Volvo’s latest LiDAR decision

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(Credit: Tesla)

Tesla CEO Elon Musk has responded to reports that Volvo is officially discontinuing the LiDAR sensor on two of its cars.

Volvo announced that it would officially scrap LiDAR systems on its EX90 and ES90 vehicles in various markets. In Norway, owners will get a €1,800 compensation for features that will never arrive due to this decision. There will be no option to remove the unit from vehicles, either.

The issue stems from Volvo’s supplier, Luminar, and its bankruptcy filing. Luminar will no longer be able to supply LiDAR units to Volvo for the EX90 and ES90, effectively axing any use the unit has on vehicles. Volvo will phase out the data collection processes via the LiDAR system, and it will not be utilized whatsoever.

Musk saw the story on X and responded, stating:

“I did try to warn them. Humans drive using neural nets and optical sensors. Same is true for robot cars.”

Musk has been publicly vocal about his disdain for LiDAR systems, once calling them “a fool’s errand,” as he has consistently kept the outlook that they are not needed for effective self-driving.

The typical example used as evidence for this by Musk is humans themselves: made with only eyes and memories, humans are capable of navigating a car by using what they can see and what they’ve personally experienced on the road.

Elon Musk argues lidar and radar make self driving cars more dangerous

“Same is true for robot cars,” Musk says, as Teslas have eight exterior cameras that help see everything surrounding the vehicle, and a neural network that analyzes behavior and tendencies with every mile driven.

Tesla is a vision-only self-driving company that ditched sensors and radar several years ago in favor of cameras. Behind this effort, the company has established a reputation for having one of the most robust self-driving platforms in the world.

Musk’s big bet with Tesla on its self-driving program’s strategy has widely paid off. Other companies continue to utilize things like LiDAR, radar, and sensors for effective self-driving, but Tesla has shown that there is more than one way to give consumers a strong and accurate driver assistance suite.

The real question is: who will be the first company to take Musk’s advice and attempt a self-driving platform based on cameras only, or even license FSD for themselves?

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