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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 Supercharger for Business exposes jaw-dropping ROI gap between best and worst locations
Tesla’s new Supercharger for Business calculator reveals an eye-opening all-in cost and location-based ROI projections.
Tesla has launched an online calculator for its Supercharger for Business program, giving property owners their first transparent look at what it really costs to install Superchargers on site and what kind of return they can expect.
The program itself launched in September 2025, allowing businesses to purchase and operate Supercharger hardware on their own property while Tesla handles installation, maintenance, software, and 24/7 driver support. As Teslarati reported at launch, hosts also get their logo placed on the chargers and their location integrated into Tesla’s in-car navigation, meaning drivers are actively routed there. The stalls are open to all EVs, not just Teslas.
We launched Supercharger for Business in 2025 to help companies get charging right. We found simplicity and transparency to be a problem in this industry.
We’re now sharing pricing and a financial calculator to help make informed decisions. The goal is to accelerate investments,…
— Tesla Charging (@TeslaCharging) April 8, 2026
The new online calculator, announced by Tesla on Wednesday with the note that “simplicity and transparency” have been a problem in the industry, lets any business enter a U.S. address and get a real cost and revenue model. A standard 8-stall V4 Supercharger site runs approximately $500,000 in hardware and $55,000 per post for installation, bringing an all-in price just shy of $1 million. Tesla charges a flat $0.10 per kWh fee to cover software, billing, and network operations. Businesses set their own retail price and keep the margin above that fee.
Taking a look at Tesla’s Supercharger for Business online calculator, we can see that ROI is not uniform, and the gap between a strong location and a poor one can stretch the breakeven point by several years.
The biggest driver is foot traffic and how long people stay. A busy rest station, hotel, or outlet mall brings in repeat visitors who need to charge while they’re already stopped, pushing utilization numbers higher and shortening payback time.
Tesla Supercharger for Business ROI calculator
Local electricity rates matter just as much on the cost side. Markets like California carry some of the highest commercial electricity rates in the country, which eats into the margin between what a host pays per kWh and what they charge drivers. At the same time, dense urban areas with high EV adoption tend to support higher retail charging prices, which can offset that cost if demand is strong enough. Weather also plays a role. Cold climates reduce battery efficiency and increase charging frequency, but they can also suppress utilization in winter months if drivers avoid stopping in exposed outdoor locations. Suburban and rural sites face a different problem: lower baseline EV traffic, which means a site with cheaper power and lower operating costs can still take longer to pay back simply because the stalls sit idle more often. Tesla’s calculator uses real fleet data to pre-fill utilization estimates by ZIP code, so businesses can run their specific address against these variables rather than relying on averages.
The program has seen real adoption. Wawa, already the largest host of Tesla Superchargers with over 2,100 stalls across 223 locations, opened its first fully owned and branded site in Alachua, Florida earlier this year. Francis Energy of Oklahoma and the city of Alpharetta, Georgia have also deployed branded stations through the program, as Teslarati covered in January.
Tesla now exceeds 80,000 Supercharger stalls worldwide, and the calculator makes the economic case for accelerating that number through private investment rather than company-owned sites alone.
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Elon Musk drops a bomb regarding Tesla Model S, X inventory
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.
Elon Musk just dropped a bomb regarding Tesla Model S and X inventory, and as the company is phasing out the flagship vehicles, it sounds like the time to purchase one brand new is almost over.
Musk confirmed on Wednesday that there are “only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.”
Tesla is running out of units rather quickly.
The message from Musk reads like a final call for two of the company’s most storied vehicles.
Only a few hundred Tesla Model S & X cars left in inventory. Order now if you want one.
— Elon Musk (@elonmusk) April 8, 2026
After more than a decade on the road, the original flagship sedan and SUV platforms are effectively at the end of the line. Production of new Model S and Model X vehicles has ceased, and custom orders were quietly halted in early April. What remains are roughly a few hundred factory inventory units scattered across the globe, mostly Plaid variants, and they are disappearing fast.
The news marks the close of a remarkable 14-year chapter. Launched in 2012, the Model S redefined the electric vehicle with blistering acceleration, over-the-air updates, and a luxury interior that embarrassed traditional sedans.
The Model X followed in 2015, turning heads with its Falcon-wing doors and seating for seven.
Together, the Model S and Model X proved EVs could be desirable halo cars, not just eco-friendly commuters. Their departure clears factory space at Tesla’s Fremont plant for something the mass production of the Optimus humanoid robot, which Musk believes will be the greatest contributor to the company’s value.
Musk has repeatedly signaled that Tesla’s future lies beyond passenger cars. Resources once devoted to low-volume flagships are shifting toward autonomy, Robotaxis, and AI hardware. Optimus, the company’s general-purpose robot, is expected to handle manufacturing, household chores, and eventually complex labor.
In the short term, the scarcity has already driven prices on remaining inventory up by about $15,000, turning the last Model S and X into instant collector’s items.
Tesla uses Model S and X ‘sentimental’ value to enforce massive pricing move
The announcement underscores Tesla’s relentless pivot. While the Model Y continues to hold strong sales, the legacy S and X represented an earlier era of pure performance luxury.
The future has been paved by Tesla and Musk’s focus on autonomy, at least in the United States. Customers continue to call for a large SUV, which might be on the way after a recent nudge from Musk on X.
However, whatever the future holds, it has been forged by Tesla’s two flagship vehicles.
Once these final cars are gone, the Model S and Model X will live on only in driveways, forums, and the rear-view mirror of automotive history.
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Tesla Cybercab production ignites with 60 units spotted at Giga Texas
Designed exclusively for unsupervised Full Self-Driving, the Cybercab promises to deliver safe, affordable, on-demand mobility without human drivers. Early units with temporary controls allow engineers to refine hardware and software in controlled settings before full autonomous fleets hit the roads.
Tesla Cybercab production at Giga Texas seems to have ignited, as 60 units were spotted outside of the production facility on Wednesday, with speculation hinting the all-electric ride-hailing vehicle could be headed to the lineup sooner rather than later.
Interestingly, they were also spotted with steering wheels, which Tesla said the car would be void of.
Giga Texas observer and drone operator Joe Tegtmeyer shared on X a new post that revealed approximately 60 Cybercabs parked in two organized groups in the factory’s outbound lot—the largest concentration observed to date.
Happy 8 April (Wednesday) at Giga Texas, especially for those wanting an update on Cybercabs … I saw about 60 of them in two groups in the outbound lot today … the largest grouping yet!
Also, looks like at least some of these have white seats and most still have clearly… pic.twitter.com/mZbKH96bA7
— Joe Tegtmeyer 🚀 🤠🛸😎 (@JoeTegtmeyer) April 8, 2026
Tegtmeyer noted white seats inside several vehicles and clearly visible steering wheels on most. These are not yet the final steering-wheel-free production versions unveiled in 2024, but early units are likely undergoing validation testing for new features and real-world robotaxi operations across the country.
The timing could not be more symbolic. Tesla has consistently affirmed that mass manufacturing of the Cybercab would begin this month.
CEO Elon Musk has reiterated the April 2026 target multiple times, emphasizing that while initial output will be slow, following the classic S-curve of new-vehicle ramps, the Giga Texas line is being prepared to produce hundreds of units per week.
Tesla CEO Elon Musk outlines expectations for Cybercab production
The first Cybercab already rolled off the line in February, but April marks the official shift to volume production of this purpose-built, pedal- and steering-wheel-free autonomous vehicle.
These 60 Cybercabs signal far more than parked prototypes. They represent tangible proof that Tesla is executing on its ambitious robotaxi roadmap.
Designed exclusively for unsupervised Full Self-Driving, the Cybercab promises to deliver safe, affordable, on-demand mobility without human drivers. Early units with temporary controls allow engineers to refine hardware and software in controlled settings before full autonomous fleets hit the roads.
As production scales, Giga Texas, already home to Cybertruck production, will become the epicenter of Tesla’s autonomous revolution, targeting millions of vehicles annually in the years ahead.
For Tesla and its investors, this sighting underscores manufacturing excellence and timeline discipline. It counters skepticism about the company’s ability to deliver on next-generation vehicles amid a competitive autonomous landscape.
Broader implications are profound: lower transportation costs, reduced emissions, and safer roads as robotaxis proliferate. Musk’s vision of a future where Cybercabs operate 24/7, generating revenue for owners and riders alike, is now visibly underway.
With mass production officially ramping in April, today’s images are not just a snapshot of parked vehicles; they are the first frames of a mobility transformation. Tesla is not only meeting its commitments; it is accelerating toward an era where autonomy reshapes daily life. The Cybercab era has begun.
Tesla Supercharger for Business exposes jaw-dropping ROI gap between best and worst locations
Elon Musk drops a bomb regarding Tesla Model S, X inventory
