News
Tesla with sleeping driver proves there’s still misunderstanding and irresponsibility surrounding autonomy
Update: 11:06 AM EST: Paragraph 7 added to show the probability of the driver having a medical emergency. California Highway Patrol saw the vehicle and noted the driver was awake after catching up to the car.
A Tesla Model Y with a sleeping driver was recently spotted on the I-15 Freeway near Temecula, California, which proves that people and media still have a vast misunderstanding and irresponsible tone regarding the capabilities of semi-autonomous vehicles.
According to a report from KTLA 5, a woman in a Tesla Model Y was followed by another driver for more than fifteen minutes on the California interstate in an attempt to wake the woman who was taking advantage of the automaker’s semi-autonomous driving functions up.
The report and the incident prove there are still huge misunderstandings in the capabilities of semi-autonomous driving suites, including Tesla’s Full Self-Driving and Autopilot, which require users to remain vigilant and be prepared to take over the vehicle at any point.
Drivers utilize semi-autonomous vehicle functionalities irresponsibly often, and social media has proven time and time again that people take advantage of the capabilities, even though they are not fully autonomous.
It is no secret that people and companies have utilized whatever they can to alleviate themselves of the responsibility of paying attention while the car operates some tasks on its own. With the introduction of advanced driver assistance systems (ADAS) over the past several years, drivers have taken advantage of the functions to instead play on their phones, read books, eat food, or even catch up on sleep.
Tesla’s camera-based driver monitoring system goes through the cellphone test
However, the risks that come with this behavior are potentially catastrophic. For one, those who use these functions irresponsibly put themselves and every other driver on the road at risk because if the vehicle needs assistance or encounters a situation where it would not react safely, the driver is responsible for taking over. Additionally, if an accident occurs, it can be framed as Tesla’s, or any other manufacturer’s fault, depending on the vehicle used, and instances like this can set the future of semi-autonomous and autonomous driving back years due to skepticism.
There is the possibility that the driver had some type of medical emergency or accidentally fell asleep, in which the Tesla’s functionalities kept the operator and others safe. Police stated the driver was caught up to two minutes after receiving calls about the driver, and the driver was attentive at this time.
However, the media’s portrayal of the situation also proves that many are widely uninformed regarding the capabilities of Teslas. While Tesla’s Full Self-Driving suite has caused controversy over its name, the automaker continues to remind those who use it to remain vigilant, as the cars cannot truly drive themselves.
In Tesla’s FAQ section of the Autopilot and Full Self-Driving page, the company answers the question, “Do I still need to pay attention while using Autopilot?:”
“Yes. Autopilot is a hands-on driver assistance system that is intended to be used only with a fully attentive driver. It does not turn a Tesla into a self-driving car nor does it make a car autonomous.
Before enabling Autopilot, you must agree to “keep your hands on the steering wheel at all times” and to always “maintain control and responsibility for your car.” Once engaged, Autopilot will also deliver an escalating series of visual and audio warnings, reminding you to place your hands on the wheel if insufficient torque is applied. If you repeatedly ignore these warnings, you will be locked out from using Autopilot during that trip.
You can override any of Autopilot’s features at any time by steering, applying the brakes, or using the cruise control stalk to deactivate.”
Media labeling the vehicle as “a self-driving Tesla” is a disservice to people and the company. Teslas do not drive themselves, as the vehicles are defined as Level 2, according to the Society of Automotive Engineers Levels of Driving Automation. Level 2 systems reiterate that the driver is still responsible for driving the car when these systems are activated. “You must constantly supervise these support features,” the SAE says. Level 3 to Level 5 systems maintain that the operator is not driving the car, but Level 5 systems are the only ones that are explicitly labeled as “self-driving.”
“This feature can drive the vehicle under all conditions,” the SAE table states.
Credit: Society of Automotive Engineers
Recent ratings by Consumer Reports showed that Tesla’s biggest flaw was driver monitoring. Many systems use cabin-facing cameras to monitor eye behavior to ensure the operator is keeping their eyes on the road. Teslas use a series of audible and visual cues to alert drivers of their inattentiveness, and steering wheel sensors make sure the driver keeps their hands on the wheel.
However, various cheat devices have been marketed across the internet, and in this instance, the driver appears to have their hands on the wheel while they are dozed.
Tesla activated camera-based driver monitoring in May 2021. “The cabin camera above your rearview mirror can now detect and alert driver inattentiveness while Autopilot is engaged,” Tesla said in the notes. Tests of Tesla’s driver monitoring tests showed the system was effective in some instances, especially when looking at cell phones, with alerts coming in 15 seconds.
The potential irresponsibility of users puts major risks to those on the road and the companies that develop these driver assistance programs. While there are workarounds through the previously-mentioned cheat devices, people have to know their irresponsibility could cost them, or others, their lives.
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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
