Mercedes-Benz has officially received certification to operate its SAE Level 3 autonomous driving system, DRIVE PILOT, in Nevada, making it the first brand to do so in the United States.
Mercedes first launched its DRIVE PILOT system at the end of 2021. Then they began shipping vehicles with the capability to customers in Germany in mid-2022, becoming the first automaker in the country to pass through the government’s stringent autonomous driving certification process.
Now, the brand has become the first to receive certification in the United States.
The DRIVE PILOT system is officially certified to operate on “suitable freeway sections” in Nevada in high-traffic density situations. It can operate at speeds up to 40 MPH. The company first revealed its paperwork had been filed with Nevada and California earlier this year, with California expected to grant certification later this year. Currently, DRIVE PILOT is available on the Mercedes EQS Sedan and Mercedes S-Class sedans, with vehicles being delivered with the system beginning in the second half of this year.
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- Credit: Mercedes-Benz
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- Credit: Mercedes-Benz
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- Credit: Mercedes-Benz
Mercedes-Benz was granted this approval as DRIVE PILOT meets the requirements of Nevada Chapter 482A for Autonomous Vehicles. As Mercedes states, some functions and applications will be available that would otherwise be blocked while driving. These activities are legally permissible depending on laws that apply where DRIVE PILOT is being used.
Best outlined by Mercedes Board Member Markus Schäfer, this is just the beginning of a larger rollout of the software:
“DRIVE PILOT demonstrates once more that our pioneering spirit is part of our DNA. Certification in Nevada marks the start of its international rollout and, with it, the dawning of a new era.”
To achieve this certification, among other regulations, Mercedes showed that its set of redundant driving systems could keep drivers safe while controlling the vehicle. A combination of steering, braking actuators, and onboard electrical system redundancy measures keep the vehicle maneuverable, even if a system fails.
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- Credit: Mercedes-Benz
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- Credit: Mercedes-Benz
Additionally, the vehicles will rely on a combination of LiDAR, radar, and cameras that allow the car to monitor where it is relative to other vehicles constantly down to the centimeter. Mercedes combines these systems with high-precision GPS mapping, ensuring the most consistent experience possible.
DRIVE PILOT will also take matters into its own hands if drivers fail to take back control, even after “increasingly urgent” audible and visual alerts. Mercedes said that it would brake the vehicle to a standstill in a controlled manner, then will activate hazard lights. Doors will be unlocked, and Mercedes’ emergency call system will contact first responders. This is an increasingly needed feature in case of a major medical emergency.
While the Mercedes technology has often been drawn as a parallel to Tesla’s Full Self-Driving offering, through this most recent certification, Mercedes now differentiates itself in two ways. Foremost, in a crash with another vehicle, while DRIVE PILOT is engaged, Mercedes accepts legal liability for the accident. Furthermore, this certification has shown relevant authorities that it can operate safely, a process that Tesla will likely need to follow through in the near future.
Mercedes’ announcement also follows a series of other major milestones for the company. The German luxury automaker recently revealed that it would be opening its own series of EV chargers, starting in North America and working globally. Mercedes has also recently highlighted (in granular detail) its incredible production shift to EVs occurring worldwide and utilizing each of its current manufacturing plants.
While there is no doubt many still see Mercedes as a non-threat to Tesla’s Full Self-Driving suite, today’s announcement proves otherwise. Hopefully, through this continued competition, autonomy can improve overall and become available to most people as a safe alternative to regular vehicle operation.
Alongside DRIVE PILOT, Mercedes also announced that its Level 2 driver assistance system would make its North American debut later this year, which features ADAS features like autonomous lane merging, speed controls, and perhaps most importantly, emergency braking.
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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
