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Tesla owner’s manuals outside North America hint at FSD beta rollout
Tesla has begun including Full Self-Driving (FSD) beta information in some of its newer owner’s manuals across Europe, China and Australia, further suggesting that the automaker may be inching toward a release of the system beyond North America.
The FSD beta was spotted being tested in Australia and Europe by just a few vehicles earlier this year, and Tesla has been ramping up hiring for the system in China in the past few months. In addition, China debuted a smart expressway for self-driving last month, designed for the use of up to Level 4 driving automation.
On Saturday, Tesla software observer Teslascope pointed out that the automaker has been hinting at the deployment of its FSD beta beyond North America, as details about the software can now be found in newer vehicle manuals from the company in Europe, China, Australia and elsewhere.
Although Tesla has been testing the software outside of North America for years, Teslascope notes that the FSD beta will still require regulatory approval in many countries, even as U.S. officials continue to navigate how to create a regulatory framework around self-driving software.
As a reminder with today’s “hinting” to Full Self-Driving (Beta) outside of North America within Owner’s Manuals, Tesla has been testing their autonomous suite for 2+ years now.
Many countries will require regulator approval, however, we remain confident in expansion soon. https://t.co/tyOkA5jDvN
— Teslascope (@teslascope) November 18, 2023
Credit: Tesla | Model 3 Owner’s Manual in Europe
It’s still not clear when Tesla will be rolling the FSD beta out publicly in these regions, though the addition of the system to its owner’s manuals is definitely not a bad thing.
Other sources have also claimed that Tesla’s FSD beta is set to enter the Chinese market, adding that the company is just waiting to announce the news.
https://twitter.com/bentv_sh/status/1725906555361808877
In each of the owner’s manuals, Tesla notes that “Depending on market region, vehicle configuration, options purchased, and software version, your vehicle may not be equipped with Full Self Driving (Beta) (also referred to as Autosteer on City Streets), or the feature may not operate exactly as described.”
The automaker also details plans to roll the feature out to customers beyond North America gradually, as can be seen below from the manuals.
“As Full Self-Driving (Beta) deployment expands, Tesla will gradually make it available to eligible customers in select countries outside of the United States and Canada,” the automaker writes.
“Because every country contains unique infrastructure, driving behaviors, and traffic patterns that Full Self-Driving (Beta) must adapt to over time, it is essential for drivers using Full Self-Driving (Beta) in newly eligible countries to be extra attentive and overly cautious. You must be ready to take over safely at any time.”
The company also notes that its FSD beta is a “hands-on feature that requires you to pay attention to the road at all times,” rather than offering higher levels of automation that would allow the driver to stop monitoring road conditions.
Last month, Tesla’s FSD beta program reached half a billion cumulative miles driven, ahead of the company’s release of the system’s version 12 in North America, which reportedly will no longer be a beta, according to CEO Elon Musk. It’s not clear exactly when the release will take place, though it’s expected to come soon.
In what seemed to be a joke tinged with self-awareness around Tesla’s failure to stick to rollout deadlines and his many prior claims that software would be released in just two weeks, Musk last week said customers might be able to try out FSD version 12 in “about 2 weeks.”
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
