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Tesla used this clever workaround to train FSD for China’s roads

Credit: @DriveGreen80167/X

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An initial version of what is effectively Tesla’s Full Self-Driving (FSD) has started going live in China this week, and some early users are commenting on how well it’s performing in the country—despite only being available in North America previously.

In response to some of these reports, Elon Musk has revealed how the system has so quickly adapted to China’s road signs and traffic laws, noting that the company’s emphasis on video-based training makes the FSD-based system able to learn so quickly.

On Tuesday, users on X commented on how the FSD system had seemingly begun learning about driving in China ahead of time, and with “virtually no additional software development costs,” as Ray4Tesla points out. In response to him and James Douma, Musk said that Tesla deployed a pretty straightforward solution for pre-training FSD on China’s roads, utilizing videos like how its systems in North America are trained.

“We just used publicly available video on the Internet of roads and signs in China and used that to train in sim,” Musk says.

READ MORE ON FSD SUPERVISED: Tesla’s FSD rollout in Mexico is a bigger deal than it seems

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Crucially, the process was similar to how Tesla’s camera-based, “vision-only” system works for FSD Supervised in North America, but instead using a simulator in China ahead of the access to real-world video. Now, with the service starting to roll out (despite not being termed FSD just yet due to some data privacy laws in China), Tesla should soon or already be able to start utilizing real-time footage to train the model, building on top of the simulated experiences grabbed from online.

Back in 2023, ahead of the launch of FSD beta v12, Musk and FSD engineers pointed out that the then-forthcoming version would play a key role in solving autonomy—especially due to its move toward a neural network that would be trained on video instead of on a “rules-based approach” and human-written code.

“FSD (Supervised) v12 upgrades the city-streets driving stack to a single end-to-end neural network trained on millions of video clips, replacing over 300k lines of explicit C++ code,” Tesla wrote in the release notes for the version.

Now well into v13 and having dropped the beta moniker nearly a year ago, Tesla has continued to tout its non-Lidar, camera-only based system, with executives regularly highlighting FSD’s scalability. While first reviews in China seem generally positive, we can definitely expect to see how the system fairs in new markets in the coming months, as multiple companies race toward commercial autonomy.

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Elon Musk discusses Tesla FSD rollout challenges for Europe and China

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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These Tesla, X, and xAI engineers were just poached by OpenAI

The news is the latest in an ongoing feud between Elon Musk and the Sam Altman-run firm OpenAI.

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Credit: OpenAI | YouTube

OpenAI, the xAI competitor for which Elon Musk previously served as a boardmember and helped to co-found, has reportedly poached high-level engineers from Tesla, along with others from xAI, X, and still others.

On Tuesday, Wired reported that OpenAI hired four high-level engineers from Tesla, xAI, and X, as seen in an internal Slack message sent by co-founder Greg Brockman. The engineers include Tesla Vice President of Software Engineering David Lau, X and xAI’s head of infrastructure engineering Uday Ruddarraju, and fellow xAI infrastructure engineer Mike Dalton. The hiring spree also included Angela Fan, an AI researcher from Meta.

“We’re excited to welcome these new members to our scaling team,” said Hannah Wong, an OpenAI spokesperson. “Our approach is to continue building and bringing together world-class infrastructure, research, and product teams to accelerate our mission and deliver the benefits of AI to hundreds of millions of people.”

Lau has been in his position as Tesla’s VP of Software Engineering since 2017, after previously working for the company’s firmware, platforms, and system integration divisions.

“It has become incredibly clear to me that accelerating progress towards safe, well-aligned artificial general intelligence is the most rewarding mission I could imagine for the next chapter of my career,” Lau said in a statement to Wired.

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READ MORE ON OPENAI: Elon Musk’s OpenAI lawsuit clears hurdle as trial looms

At xAI, Ruddarraju and Dalton both played a large role in developing the Colossus supercomputer, which is comprised of over 200,000 GPUs. One of the major ongoing projects at OpenAI is the company’s Stargate program,

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“Infrastructure is where research meets reality, and OpenAI has already demonstrated this successfully,” Ruddarraju told Wired in another statement. “Stargate, in particular, is an infrastructure moonshot that perfectly matches the ambitious, systems-level challenges I love taking on.”

Elon Musk is currently in the process of suing OpenAI for shifting toward a for-profit model, as well as for accepting an investment of billions of dollars from Microsoft. OpenAI retaliated with a counterlawsuit, in which it alleges that Musk is interfering with the company’s business and engaging in unfair competition practices.

Elon Musk confirms Grok 4 launch on July 9 with livestream event

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SpaceX share sale expected to back $400 billion valuation

The new SpaceX valuation would represent yet another record-high as far as privately-held companies in the U.S. go.

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A new report this week suggests that Elon Musk-led rocket company SpaceX is considering an insider share sale that would value the company at $400 billion.

SpaceX is set to launch a primary fundraising round and sell a small number of new shares to investors, according to the report from Bloomberg, which cited people familiar with the matter who asked to remain anonymous due to the information not yet being public. Additionally, the company would sell shares from employees and early investors in a follow-up round, while the primary round would determine the price for the secondary round.

The valuation would represent the largest in history from a privately-owned company in the U.S., surpassing SpaceX’s previous record of $350 billion after a share buyback in December. Rivaling company valuations include ByteDance, the parent company of TikTok, as well as OpenAI.

Bloomberg went on to say that a SpaceX representative didn’t respond to a request for comment at the time of publishing. The publication also notes that the details of such a deal could still change, especially depending on interest from the insider sellers and share buyers.

READ MORE ON SPACEX: SpaceX to decommission Dragon spacecraft in response to Pres. Trump war of words with Elon Musk

SpaceX’s valuation comes from a few different key factors, especially including the continued expansion of the company’s Starlink satellite internet company. According to the report, Starlink accounts for over half of the company’s yearly revenue. Meanwhile, the company produced its 10 millionth Starlink kit last month.

The company also continues to develop its Starship reusable rocket program, despite the company experiencing an explosion of the rocket on the test stand in Texas last month.

The company has also launched payloads for a number of companies and government contracts. In recent weeks, SpaceX launched Axiom’s Ax-4 mission, sending four astronauts to the International Space Station (ISS) for a 14-day stay to work on around 60 scientific experiments. The mission was launched using the SpaceX Falcon 9 rocket and a new Crew Dragon capsule, while the research is expected to span a range of fields including biology, material and physical sciences, and demonstrations of specialized technology.

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Tesla Giga Texas continues to pile up with Cybercab castings

Tesla sure is gathering a lot of Cybercab components around the Giga Texas complex.

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Credit: @JoeTegtmeyer/X

Tesla may be extremely tight-lipped about the new affordable models that it was expected to start producing in the first half of the year, but the company sure is gathering a lot of Cybercab castings around the Giga Texas complex. This is, at least, as per recent images taken of the facility. 

Cybercab castings galore

As per longtime drone operator Joe Tegtmeyer, who has been chronicling the developments around the Giga Texas complex for several years now, the electric vehicle maker seems to be gathering hundreds of Cybercab castings around the factory. 

Based on observations from industry watchers, the drone operator appears to have captured images of about 180 front and 180 rear Cybercab castings in his recent photos.

Considering the number of castings that were spotted around Giga Texas, it would appear that Tesla may indeed be preparing for the vehicle’s start of trial production sometime later this year. Interestingly enough, large numbers of Cybercab castings have been spotted around the Giga Texas complex in the past few months.

Cybercab production

The Cybercab is expected to be Tesla’s first vehicle that will adopt the company’s “unboxed” process. As per Tesla’s previous update letters, volume production of the Cybercab should start in 2026. So far, prototypes of the Cybercab have been spotted testing around Giga Texas, and expectations are high that the vehicle’s initial trial production should start this year. 

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With the start of Tesla’s dedicated Robotaxi service around Austin, it might only be a matter of time before the Cybercab starts being tested on public roads as well. When this happens, it would be very difficult to deny the fact that Tesla really does have a safe, working autonomous driving system, and it has the perfect vehicle for it, too.

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