The California Department of Motor Vehicles (DMV) seems to want Tesla to advertise its Autopilot and Full Self-Driving (FSD) features to consumers.
According to a report by the LA Times. the DMV isn’t too happy about Tesla’s use of the terms, Autopilot and FSD. And the state agency is also upset about Tesla’s description of how Navigating on Autopilot from home works.
According to the article, the California DMV thinks the following paragraph found on Tesla’s website was misleading.
“All you will need to do is get in and tell your car where to go. If you don’t say anything, your car will look at your calendar and take you there as the assumed destination. Your Tesla will figure out the optimal route, navigating urban streets, complex intersections, and freeways.”
Is this really misleading, though?
That particular paragraph is part of Tesla’s description of its Autopilot and FSD features. Having seen FSD in action for myself, I’ve seen it actually do this. I’ve ridden with friends who have FSD Beta and they would speak into the microphone and tell the car where to go. And the car would go there.
The only issue is that this technology is still in Beta and the driver needs to be very aware of their surroundings. This means paying attention to the road. And in some cases, I have seen my friends take over safely.
However, I’ve also witnessed FSD stop for cyclists and pedestrians which many human drivers all too often don’t do.
As someone who doesn’t own a car, I’ve been almost hit quite a few times. If it wasn’t for my paying attention to my surroundings, I’d probably have won a few lawsuits and hospital stays. Perople really don’t pay attention when behind the wheel.
The California DMV’s Solution: Making Tesla advertise or “educate consumers”
They seek to make Tesla add more disclaimers / training for users. Seems like a non-issue. Their main issue seems to be the Full Self-Driving name as Tesla doesn’t actually advertise. https://t.co/hole8WMSx0
— Whole Mars Catalog (@WholeMarsBlog) August 5, 2022
If the DMV gets its way, it could revoke Tesla’s licenses to make and sell EVs in the state. I don’t have to tell you how bad this would be for jobs.
The article noted that these “remedies” would probably be “softer.” A DMV spokesperson told the LA Times that it will ask that Tesla be required to advertise the capabilities of Autopilot and FSD to consumers.
“The DMV will ask that Tesla will be required to advertise to consumers and better educate Tesla drivers about the capabilities of its ‘Autopilot’ and ‘Full Self-Driving’ features, including cautionary warnings regarding the limitations of the features, and for other actions as appropriate given the violations.”
In essence, the DMV is trying to force Tesla to buy advertising for its products and services.
Bloomberg noted that Tesla has 15 days to respond to the DMV if it wants to dispute or defend itself. It should also be noted that Tesla is one of the state’s largest employers with over 45,000 employees.
California isn’t too fond of Tesla at all, it seems
California already lost Tesla headquarters following the drama from 2020. CA Assemblywoman Lorena S. Gonzales made it very clear that Elon Musk and Tesla, a leading job provider, weren’t welcome in the state.
Although Tesla didn’t close down its factories in California, the company relocated its headquarters to Austin following Elon Musk’s personal decision to move to the Texas capital.
Message received
— Elon Musk (@elonmusk) May 11, 2020
Personally, I don’t blame him for moving out of a state where government officials are openly hostile toward Elon Musk. I’d leave, too. And the move has proven to be very beneficial for both Tesla and Texas.
Following the relocation, Tesla seems to be doing very well and recently opened Giga Texas in April. Tesla has also been working closely with the Texas Public Utility Commission (PUC) and the Electric Reliability Council of Texas (ERCOT).
Reducing the stress on the Texas grid would help Texans during the intense heat and winters. And it would encourage the largest oil-producing U.S. state to openly embrace renewables. Tesla being in Texas is a great thing for both as well as the South.
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
