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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 Model Y L has two distinct features for luxurious comfort
This is not to say the other interior additions are not factors in the Model Y becoming a more luxurious and premium vehicle, but the two mentioned in this article are particularly pertinent in that conversation.

Tesla’s new Model Y L has two distinct features that are geared toward giving occupants a taste of luxury with guaranteed comfort.
These two features should definitely be part of the company’s future lineup, and they could prove to be massive upgrades to the Model Y’s interior, which is certainly premium but is missing some things that truly tailor to a “luxury” feel of an automobile.
This is not to say the other interior additions are not factors in the Model Y becoming a more luxurious and premium vehicle, but the two mentioned in this article are particularly pertinent in that conversation.
Tesla Model Y L might not come to the U.S., and it’s a missed opportunity
Power-Adjustable Thigh Supports
In the front seats of the Model Y L, there are power-adjustable thigh supports that will enable some additional comfort on the legs:
The Tesla Model Y L features power-adjustable thigh supports for the front seats pic.twitter.com/1tBQG0KznK
— The Tesla Newswire (@TeslaNewswire) August 19, 2025
Most might think that these thigh supports are simply a feature that makes the ride more comfortable, which is true. However, they have benefits for the ride and after you exit the car.
Providing proper lift on the legs and thighs can be beneficial for people with back problems or posture issues. The lower back takes an increased amount of stress during long car rides, especially as the legs are fixed in the chosen seating position.
Tesla Model Y L officially launched: price, features, and more
Adding some support to the thighs can help reduce pressure on the lower back and hips, and distribute weight more evenly, taking stress off pressure points.
It can also contribute to better spinal alignment. They also have safety benefits, as some riders could have an improved seatbelt position thanks to the thighs being in this position.
Second-Row Mechanical Armrest
Tesla also added mechanical, one-touch armrests to the Model Y L’s second row, a nice and premium touch for the riders in the middle of the vehicle:
The Model Y’s second-row armrests are pretty satisfying to watch.
They’re touch operated, so they should be very convenient to use.pic.twitter.com/iGlGiJXGNR
— TESLARATI (@Teslarati) August 19, 2025
Add the additional space the Model Y L provides to riders, and it already gets more comfortable. However, the addition of the mechanical armrests gives a good option of comfort for those who are seated in the second row.
They can also be retracted with the touch of a button, allowing for those in the third row to exit the vehicle easily.
One con to the mechanical portion of these armrests is that it is another moving part, and, of course, that puts it at risk of having issues.
However, it is certainly more premium than a manual armrest, and the flashy carbuyers will appreciate this small but mighty addition.
News
Tesla’s NHTSA probe is already on its way to being resolved
The problem the NHTSA had with Tesla’s reporting is already on its way to being resolved, as the agency and the company have been in communication.

Tesla is being probed by the National Highway Traffic Safety Administration (NHTSA) for not reporting accidents in a timely manner, the agency said on Thursday.
It is already well on its way to being resolved, the agency said.
The agency’s Office of Defects Investigation (ODI) identified numerous instances in which Tesla reported crashes that “occurred several months or more before the dates of the reports.”
The Standing General Order in place by the agency requires crash reports to be submitted within five days of Tesla receiving the notice of an accident.
The investigation states Tesla submitted crashes in one of two ways:
“Many of the reports were submitted as part of a single batch, while others were submitted on a rolling basis.”
The problem the NHTSA had with Tesla’s reporting is already on its way to being resolved, as the agency and the company have been in communication.
Tesla has already been in contact with the agency’s ODI and stated that the timing of the reports was an issue with its data collection. The issue has been resolved, Tesla told them.
The NHTSA said the initiation of the probe against Tesla is a “standard process for reviewing compliance with legal requirements, to evaluate the cause of potential delays in reporting, the scope of any such delays, and the mitigations that Tesla has developed to address them.”
It is the latest NHTSA probe into Tesla, as it has also been investigating the company for accidents during Full Self-Driving operation in reduced visibility conditions.
The agency also sought information on the rollout of Robotaxi a few months ago, and how Tesla planned to handle low-visibility conditions in its driverless ride-hailing service.
The NHTSA was interested in knowing how Tesla planned to assess the ability of FSD’s engineering controls, whether any other similar FSD crashes had occurred in low visibility, and if modifications to FSD software would impact its performance in these conditions.
News
Tesla rolls out minor but significant improvement to Robotaxi service
As per Tesla, Robotaxis will now arrive at their pickup locations with their doors locked.

Tesla has rolled out a minor but significant improvement to its Robotaxi service. The update was shared by the Tesla community on social media platforms such as X.
New Robotaxi App update
As observed by the electric vehicle community on social media, Tesla has started rolling out the Robotaxi App’s Version 25.8.5 (6074) to users. The update seems to be quite minor, though Tesla mentioned something quite notable the update’s “What to Test” section.
As per Tesla, Robotaxis will now arrive at their pickup locations with their doors locked. Customers would not need to unlock the Robotaxis manually, however, as the vehicles would automatically unlock as they approach the car. “You ride now arrives locked and will automatically unlock as you walk up. Just ensure your app has Bluetooth access enabled,” Tesla wrote.
While this update is minor, it does improve the safety of the vehicles themselves. It also provides another layer of convenience for users of the driverless ride-hailing service. The fact that Tesla is already refining the Robotaxi App’s features this early bodes well for the program. It suggests, if any, that the service will already be fairly refined when it starts being opened to more users.
Robotaxi praised for its safety
Tesla is following a deliberate and cautious rollout strategy for its Robotaxi rollout, though early reviews of the system have been quite positive. Some reviewers have also dubbed Tesla’s Robotaxi service as a safer alternative to more conventional ride-hailing services such as Uber.
This was highlighted by auto reviewer Scotty Reiss in a post on A Girl’s Guide to Cars.
“I like the personal safety factor. No driver to threaten or harass you. You control the locking and unlocking of the car. You can change the pickup location at any time. The car will wait for you. You can call the support desk if you need help. You can change your destination if the drop-off area seems sketchy. All of it together makes me feel safer getting a car home from the airport at midnight or into the city after dark, and I definitely feel safer having my daughters take a self-driving rideshare when they go out to meet friends for dinner,” Reiss wrote in her post.
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