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Tesla Autopilot and artificial intelligence: The unfair advantage
Serial tech entrepreneur and Tesla CEO Elon Musk has had a longstanding fear of artificial intelligence, but his company’s investments in artificial intelligence have been noted as an attempt to keep track of developments in the field of AI. In an interview for Vanity Fair in April 2017, he outright expressed his concerns with AI and claimed that one of the reasons for the development of SpaceX was that it could be an interplanetary escape route for humanity if artificial intelligence goes rogue. However, even Musk realizes the importance of AI in real-world applications, specifically for self-driving cars. At the end of June, Musk hired Andrej Karpathy as the new Director of Artificial Intelligence at Tesla, and MIT Technology Review claims it is the start of a plan to rethink automated driving at Tesla.
Karpathy comes from OpenAI, a non-profit company founded by Musk that focuses on “discovering and enacting the path to safe artificial general intelligence.” Afterwards, he moved on to intern at DeepMind, a place that spotlighted reinforcement learning with AI. Karpathy’s previous research focuses are on image understanding and recognition, which directly translates into applying proven image recognitions algorithms in Tesla’s Autopilot.
Recently, the popular question of morality was brought up in context to AI learning in Autopilot cars. It’s very interesting to consider how to teach technology to respond to an innately human moral problem. The Moral Machine, hosted by Massachusetts Institute of Technology, is a platform built to “gather human perspectives on moral decisions made by machine intelligence, such as self-driving cars.” It questions how the machine would act in human decisions such as whether to crash the driver or keep driving into a pedestrian that is crossing the street where there are no traffic regulators. How exactly do you teach a logical machine the mechanisms of ethical decision-making?
Although Musk and Tesla are the leaders in the self-driving field, a number of other companies are also entering into the competition sphere. Google, Uber, and Intel’s Mobileye have all been considering the application of reinforcement learning in the context of self-driving cars. Uber, Waymo, GM (Cruise Automation), Mobileye (camera supplier), Mercedes and Velodyne (LiDAR Supplier) could be potential competitors in the realm of self-driving vehicles. However, most of the technology does not encompass full self-driving, which is Musk’s aim. While other companies are investing heavily in autonomous fleets, Tesla far outpaces them in terms of data collection and release of finished product.
What are the differentiators for Tesla in the growing field of AI directed driverless cars?
Historically, Musk has focused on “narrow AI” which can enable the car to make decisions without driver interference. The vehicles would increasingly rely on radar as well as ultrasonic technology for sensing and data-gathering to form the basis for Tesla’s Autopilot algorithms. A technology that isn’t derived from LiDAR, the combination of radar and camera system said to outperform LiDAR especially in adverse weather conditions such as fog.
With the introduction of Autopilot 2.0 and Tesla’s “Vision” system, and billions of miles real-world driving data collected by Model S and Model X drivers, Tesla continues to create a detailed 3D map of the world that has increasingly finer resolution as more vehicles are purchased, delivered and placed onto roadways. The addition of GPS allows Tesla to put together a visual driving map for AI vehicles to follow, paving the path for newer and more advanced vehicles.
The addition of Karpathy will be a notable asset for Tesla’s Autopilot team. In specific, the team will be able to apply Karpathy’s deep knowledge of reinforcement learning systems. Reinforcement learning for AI is similar to teaching animals via repetition of a behavior until a positive outcome is yielded. This type of machine learning will allow Tesla Autopilot to navigate complex and challenging scenarios. For example, AI will allow cars to determine in real-time how to navigate a four-way stop, a busy intersection or other difficult situations present on city streets. By making cars smarter with the way they navigate drivers, Tesla will put itself ahead of the curve with a fully-thinking, fully self-driving car.
Tesla is expected to demonstrate a fully autonomous cross-country drive from California to New York by the end of this year as a showcase for its upcoming Full Self-driving Capability. If you’re buying a Tesla Model 3, or an existing Model S or Model X owner, just know that you’re contributing to a self-driving future, mile by mile.
Elon Musk
Tesla is ramping up its advertising strategy on social media
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
Tesla seems to be ramping up its advertising strategy on social media once again. Marketing and advertising have not been a major focus of Tesla’s, something that has brought some criticism to the company from its fans.
However, the company looks to be making adjustments to that narrative, as it has at times in the past, as ads were spotted on several different platforms over the past few days.
On Facebook and YouTube, ads were spotted that were evidently placed by Tesla. On Facebook, Tesla was advertising Full Self-Driving, and on YouTube, an ad for its Energy Division was spotted:
Tesla also threw up some ads on YouTube for Energy https://t.co/19DGQMjBsA pic.twitter.com/XQRfgaDKxY
— TESLARATI (@Teslarati) March 9, 2026
Tesla has long stood out in the automotive world for its unconventional approach to advertising—or, more accurately, its near-total avoidance of it. For over a decade, the company spent virtually nothing on traditional marketing.
In 2022, Tesla’s U.S. ad spend was roughly $152,000, a rounding error compared to General Motors’ $3.6 billion the following year.
Traditional automakers averaged about $495 per vehicle on ads; Tesla spent $0. CEOElon Musk’s stance was explicit: “Tesla does not advertise or pay for endorsements,” he posted on X in 2019. “Instead, we use that money to make the product great.”
The strategy relied on word-of-mouth from delighted owners, Elon’s massive X following, viral product launches, media frenzy, and customer referrals. A great product, Musk argued, sells itself. It does not need Super Bowl spots or billboards. Resources poured into R&D instead, with Tesla investing nearly $3,000 per car, far more than rivals.
Tesla counters jab at lack of advertising with perfect response
This reluctance wasn’t arrogance; it was philosophy, and Musk made it clear that the money was better spent on the product. Heavy spending on ads was seen as wasteful when innovation and authenticity drove organic demand. Shareholder calls for marketing budgets were ignored.
The current shift, paid Facebook ads promoting Full Self-Driving (Supervised) and YouTube Shorts offering up to $1,000 back on Powerwall batteries, marks a pragmatic evolution.
These targeted campaigns coincide with the end of one-time FSD purchases and a March 31 deadline for FSD transfer eligibility on new vehicles.
This move likely signals Tesla adapting to scale, as well as a more concerted effort to stop misinformation regarding its platform. As EV competition intensifies and the company bets big on robotaxis and energy storage, pure organic buzz may not suffice to hit adoption targets. Selective digital ads allow precise, cost-effective reach without abandoning core principles.
If successful, it could foreshadow measured expansion into marketing, boosting high-margin software and home energy revenue while preserving Tesla’s innovative edge. But, it’s nice to see the strategy return, especially as Tesla has been reluctant to change its mind in the past.
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Tesla Model Y outsells everything in three states, but Ford dominates
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
The Tesla Model Y was the best-selling vehicle in three different states in the U.S. last year, according to new data that shows the all-electric crossover outsold every other car in a few places. However, Ford widely dominated the sales figures with its popular F-Series of pickups.
According to new vehicle registration data compiled by Edmunds and visualized by Visual Capitalist, the Ford F-Series, encompassing models like the F-150, F-250, F-350, and F-450, claimed the title of best-selling vehicle in 29 states.
This dominance underscores the pickup truck’s unbreakable appeal across much of the country, particularly in rural, Midwestern, Southern, and Western states, where towing capacity, durability, and utility for work or recreation remain top priorities.
The Tesla Model Y is the best-selling vehicle in California, Washington, and Nevada
How many states will it dominate next year? https://t.co/ERyoyce42D
— TESLARATI (@Teslarati) March 9, 2026
The F-Series has held the crown as America’s overall best-selling vehicle for decades, a streak that continued strong into 2025 despite broader market shifts.
Yet, amid this truck-heavy reality, Tesla made a notable breakthrough. The Model Y emerged as the top-selling vehicle, not just the leading EV, but the outright best-seller in three key states: California, Nevada, and Washington.
These West Coast strongholds reflect regions with robust EV infrastructure, high environmental awareness, generous incentives, and tech-savvy populations. In California alone, nearly 50 percent of new vehicle registrations were electrified, far outpacing the national average of around 25 percent.
The Model Y’s success here highlights accelerating mainstream adoption of electric SUVs, which offer spacious interiors, impressive range, rapid acceleration, and low operating costs.
Elon Musk: Tesla Model Y is world’s best-selling car for 3rd year in a row
Elsewhere, Japanese crossovers filled many gaps: Toyota’s RAV4 and Honda’s CR-V topped charts in several urban and densely populated Northeastern and Midwestern states, where fuel efficiency, reliability, and family-friendly features win out over larger trucks.
While Ford’s broad reach shows traditional preferences persist, at least for now, Tesla’s Model Y victories in high-population, influential states signal a gradual but undeniable transition toward electrification. As charging networks expand and battery technology improves, more states could follow the West Coast’s lead in the coming years.
This 2025 map captures a pivotal moment: pickup trucks still rule the majority, but EVs are carving out meaningful territory where consumer priorities align with sustainability and innovation. The road ahead promises continued competition between legacy giants and electric disruptors.
Elon Musk
Elon Musk shares updated Starship V3 maiden launch target date
The comment was posted on Musk’s official account on social media platform X.
SpaceX CEO Elon Musk shared a brief Starship V3 update in a post on social media platform X, stating the next launch attempt of the spacecraft could take place in about four weeks.
The comment was posted on Musk’s official account on social media platform X.
Musk’s update suggests that Starship Flight 12 could target a launch around early April, though the schedule will depend on several remaining milestones at SpaceX’s Starbase launch facility in Texas.
Among the key steps is testing and certification of the site’s new launch tower, launch mount, and tank farm systems. These upgrades will support the next generation of Starship vehicles.
Booster 19 is expected to roll to the launch site and be placed on the launch mount before returning to the production facility to receive its 33 Raptor engines. The booster would then return for a static fire test, which could mark the first time a Super Heavy booster equipped with Raptor V3 engines is fired on the pad.
Ship 39 is expected to undergo a similar preparation process. The vehicle will likely return to the production site to receive its six engines before heading to Massey’s test site for static fire testing.
Once both stages are prepared, the booster and ship will roll out to the launch site for the first full stack of a V3 Super Heavy and V3 Starship. A full wet dress rehearsal is expected to follow before any launch attempt.
Elon Musk has previously shared how SpaceX plans to eventually recover Starship’s upper stage using the launch tower’s robotic arms. Musk noted that the company will only attempt to catch the Starship spacecraft after two successful soft landings in the ocean. The approach is intended to reduce risk before attempting a recovery over land.
“Should note that SpaceX will only try to catch the ship with the tower after two perfect soft landings in the ocean. The risk of the ship breaking up over land needs to be very low,” Musk wrote in a post on X.
Such a milestone would represent a major step toward the full reuse of the Starship system, which remains a central goal for SpaceX’s long-term launch strategy.
Tesla is ramping up its advertising strategy on social media
Tesla Model Y outsells everything in three states, but Ford dominates
