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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.
News
Tesla to make app change for easier communication following Service
“Looking into it. After a service visit is complete, we close the in-app messaging option after 2 hours. We will change this to 24hours or more.”

Tesla will enhance the ability to communicate through the mobile app with Service after work has been done on your car.
One of the biggest weaknesses of Tesla’s automotive division has been Service, as Service Centers are not necessarily plentiful, and wait times, in some regions of the country, are over a month in duration.
Getting in touch with Service after a car has work done to it is also difficult. Calling showrooms in some regions has proven to be difficult to enable direct communication between the customer and the company.
If something is not resolved properly, Tesla keeps the in-app messaging option active for two hours after the service visit is complete.
However, that doesn’t resolve everything, as some issues may arise again more than two hours later. Then the issue of communication presents itself once again.
Tesla is going to extend that time frame to a day or more, according to Raj Jegannathan, Tesla’s AI/IT-Infra, Cybersecurity, IT Apps & Vehicle Service VP.
Looking into it. After a service visit is complete, we close the in-app messaging option after 2 hours. We will change this to 24hours or more.
— Raj Jegannathan (@r_jegaa) August 18, 2025
Tesla has made several changes over the past few years to attempt to improve its Service. Recently, for Collision repair, it started offering a $45-per-day loaner program with free FSD, free tolls, and free Supercharging.
It also recently started sharing local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.
Tesla creates clever solution to simplify and improve its Service
However, this is only available at a few showrooms and is currently a pilot program.
These improvements are aimed at resolving communication breakdown, which appears to be a problem that many owners experience.
Tesla is one of the few companies that also operates a fleet of Mobile Repair vehicles, which will perform service at your house or place of business. However, the size of it has gone down by 11 percent year over year.
News
Tesla is overhauling its Full Self-Driving subscription for easier access
The subscription model is more accessible to many owners, as it is reasonably priced and offers the option to take a month off from using it if they are interested in saving money.

Tesla is overhauling its Full Self-Driving subscription and how it markets it to customers after several owners and fans of the company complained about the accessibility of the monthly access to its driver assistance suite.
Tesla Full Self-Driving is the automaker’s semi-autonomous driving suite, which is widely regarded as the most robust and capable on the market today. Owners can purchase the suite outright for $8,000, or they can subscribe to the program for $99 per month, an option it enabled a few years ago.
However, it is not super easy to subscribe to the subscription model, nor is it even recognized on the company’s Online Design Studio. Without some research or prior knowledge, a consumer might not even know they could pay monthly to experience Full Self-Driving.
That is set to change, according to Tesla’s AI/IT Infrastructure, Cybersecurity, IT Apps, and Vehicle Service head Raj Jegannathan, who said the company is planning to change that.
Instead of having customers only have the option to pay outright for the suite, Tesla is now planning to offer the subscription model in its Online Design Studio, making it easier to activate that option:
Yes, will optimize the design to offer both full purchase, subscriptions(with free trial) on the configurator.
— Raj Jegannathan (@r_jegaa) August 24, 2025
It will be the second major change Tesla makes to how it sells Full Self-Driving to customers, the first being videos of real-life operation of FSD in the Design Studio. Previously, the site only showed animations of Full Self-Driving’s capabilities.
Tesla added the videos of FSD handling some tricky situations, as well as general operation of the suite, to the Design Studio in recent weeks.
Tesla makes big change to encourage Full Self-Driving purchases
The subscription model is more accessible to many owners, as it is reasonably priced and offers the option to take a month off from using it if they are interested in saving money.
Many cannot justify paying for the suite outright, especially as it adds $8,000 to the cost of their car. After they experience its capabilities for themselves, they might.
Both moves appear to be an effort to increase the take rate of Full Self-Driving, particularly as autonomy takes center stage at Tesla.
With the rollout of Robotaxi and some teased capabilities of the upcoming v14 iteration of Full Self-Driving, Tesla is gearing up to continue advancing its self-driving technology.
News
Tesla talks Semi ramp, Optimus, Robotaxi rollout, FSD with Wall Street firm

Tesla (NASDAQ: TSLA) recently talked about a variety of topics with Wall Street firm Piper Sandler, as the firm released a new note on Friday about their meeting with the company’s Investor Relations team.
According to the note from Piper Sandler, Tesla talked in detail about the Semi program, Optimus, and its potential valuation given its capabilities, the rollout of Robotaxi in Austin, and Full Self-Driving progress in the United States.
Tesla Semi Ramp
The Tesla Semi is set to enter mass production in 2026 at a dedicated factory near the company’s Gigafactory in Reno, Nevada.
The Semi has already been in pilot program testing, as Tesla has partnered with a few companies, like Frito-Lay and PepsiCo., to perform regional logistics. It has been met with excellent reviews from drivers, and it has helped give Tesla a good idea of what to expect when it makes its way to more companies in the coming years.
Piper Sandler said that it is evident Tesla is preparing for a “major ramp,” but it is keeping its expectations low:
“We’ve never expected much from this product, but we’d love to be proven wrong (Tesla is clearly prepping for a major ramp).”
Tesla Optimus and its value internally and externally
Optimus has been working in Tesla factories for some time, but its expectations as a product offering outside of the company internally have major implications.
Its role within Tesla factories, for now, is relatively low, but Optimus is still doing things to assist. By this time next year, Piper Sandler said Optimus should have bigger responsibilities:
“By this time in 2026, Optimus should be moving/staging parts within Tesla’s facilities.”
Outside of Tesla, Optimus could be a major beneficiary for companies as it could be a more affordable way to handle tedious tasks and manual labor. The firm believes that if Optimus can work 18-hour shifts, a cost of $100,000 per unit “would be justified.”
Tesla Robotaxi Expansion
The big focus of the firm with Robotaxi was Tesla’s expansion of the geofence in Austin this week. It was substantial, bringing the Robotaxi’s total service area to around 170 square miles, up from the roughly 90 square miles that rival Waymo is offering in the city.
Tesla Robotaxi geofence expansion enters Plaid Mode and includes a surprise
Tesla has doubled its geofence three times since its launch in late June, and it also revealed that its fleet of vehicles has expanded by 50 percent. It did not give a solid number of how many vehicles are operating in the fleet.
Tesla Full Self-Driving v14 launch
Tesla’s Full Self-Driving suite is set to have a fresh version, v14, rolled out in either September or October, and there are some pretty high expectations for it.
CEO Elon Musk said:
“The FSD release in about 6 weeks will be a dramatic gain with a 10X higher parameter count and many other improvements. It’s going through training & testing now. Once we confirm real-world safety of FSD 14, which we think will be amazing, the car will nag you much less.”
There is also some expectation that v14 could be the public release of what Tesla is running in Austin for Robotaxi. The firm confirmed this in their note by stating it “should enable Tesla owners to use software that is on par with Robotaxis in Austin.”
The only real hold up would be regulator skepticism, but Tesla can alleviate this with strong data.
The firm maintained its ‘Overweight’ rating and the $400 price target it holds on the stock.
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