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Tesla's free Autopilot battles BMW's best driver-assist tech in head-to-head test
A Tesla Model 3’s Standard Range Plus equipped with the company’s Autopilot feature was recently put to the test against a worthy competitor: the BMW M850i Gran Coupe, a car that combines luxury and performance with the German automaker’s own premium driver-assist software.
YouTube’s Ash Davies on Cars decided to compare the two vehicles and their respective driver-assist software as a way to see how one of the cheapest Tesla vehicles available would fare against the tech of one of the most luxurious and costly BMW vehicles that money could buy. The Model 3 was equipped with the company’s basic Autopilot, a feature that now comes standard on all of Tesla’s vehicles. This means the car was equipped with the ability to steer, accelerate, and brake for other vehicles and passengers in its lane.
The BMW M850i Gran Coupe, on the other hand, is equipped with an optional Driver Assistance Professional Package that gives drivers more awareness through a series of safety features like blind-spot notifications, cross-traffic alerts, lane-keeping steering assist and parking assistance. It also includes a feature that’s somewhat similar to Tesla Autopilot called Extended Traffic Jam Assistant, which helps the driver operate the vehicle in congested areas of the road.
Initially, Davies took the Model 3 out for a drive on his local freeway. Impressed by the vehicle’s ability to control and maneuver without incident, he stated he had no worries about the car driving itself, mostly due to the Driving Visualization feature available on the vehicle’s 15″ display screen. The reviewer noted that the Model 3’s basic Autopilot, while lacking the finer features found in Tesla’s Full Self-Driving suite, already behaves a lot like a human driver. The driver-assist system is also so refined that it’s very easy to trust Autopilot.
Davies then hopped in the six-figure BMW, explaining that the best tech of veteran car manufacturers are usually found in the top end models like the M805i Grand Coupe. While Davies took particular note of the vehicle’s luxurious features, he was not that impressed with the car’s actual tech. Even with its driver-assist feature active, for example, the vehicle’s display does not render any other cars on the road, unlike Tesla’s standard Autopilot.
He also notes that the Driver Assistance package is more like an adaptive cruise control than an Autopilot feature. After unsuccessfully attempting a lane change, Davies opted to test how well the vehicle stops when faced with traffic. The BMW slowed down, but it did so with such abruptness that the reviewer stated that “It slowed down with all the force of a car that thought it was about to have a crash.”
Tesla’s industry-leading Autopilot technology is one of many reasons the electric car maker continues to solidify its reputation as one the most innovative automotive company in the world. As told by Davies in his video, it is apparent Tesla’s Autopilot feature is easily outperforming the much more expensive features on a luxury car like a BMW. Perhaps, the reviewer noted, Tesla is simply a company that is very good with software while veteran automakers like BMW are good with hardware. And when it comes to driver-assist technology, the best software will likely win.
You can watch Ash Davies on Cars‘ comparison of Tesla’s Autopilot and BMW’s driver-assist features in the video below.
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.”
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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
