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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.
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Tesla adds new surprising fee to Robotaxi program
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
Tesla has added a new and somewhat surprising fee to the Robotaxi program. It’s only surprising because it was never there before.
Tesla shocked everyone when it launched its Robotaxi platform and offered riders the opportunity to tip, only to tell them they do not accept tips. It was one of the company’s attempts at being humorous as it rolled out its driverless platform to people in Austin.
As it has expanded to new cities and been opened to more people, as it was yesterday to iOS users, Tesla has had to tweak some of the minor details of the Robotaxi and ride-hailing platforms it operates.
First Look at Tesla’s Robotaxi App: features, design, and more
With more riders, more vehicles, and more operational jurisdictions, the company has to adjust as things become busier.
Now, it is adjusting the platform by adding “Cleaning Fees” to the Robotaxi platform, but it seems it is only charged if the vehicle requires some additional attention after your ride.
The app will communicate with the rider with the following message (via Not a Tesla App):
“Additional cleaning was required for the vehicle after your trip. A fee has been added to your final cost to cover this service. Please contact us if you have any questions.”
The cost of the cleaning will likely depend on how severe the mess is. If you spill a soda, it will likely cost less than if you lose your lunch in the back of the car because you had a few too many drinks.
This is an expected change, and it seems to be one that is needed, especially considering Tesla is operating a small-scale ride-hailing service at the current time. As it expands to more states and cities and eventually is available everywhere, there will be more situations that will arise.
The messes in vehicles are not a new situation, especially in a rideshare setting. It will be interesting to see if Tesla will enable other fees, like ones for riders who request a ride and do not show up for it.
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Tesla Model Y sold out in China for 2025
Customers who wish to get their cars by the end of the year would likely need to get an inventory unit.
It appears that the Model Y has been sold out for 2025 in China. This seems to be true for the four variants of the vehicle that are currently offered in the country.
Tesla China’s order page update
A look at Tesla China’s order page for the Model Y shows a message informing customers that those who wish to guarantee delivery by the end of the year should purchase an inventory unit. This was despite the Model Y RWD and Model Y L showing an estimated delivery timeline of 4-8 weeks, and the Model Y Long Range RWD and Model Y Long Range AWD showing 4-13 weeks.
As per industry watchers, these updates on the Model Y’s order page suggest that Tesla China’s sales capacity for the remainder of 2025 has been sold out. The fact that estimated delivery timeframes for the Model Y Long Range RWD and AWD extend up to 13 weeks also bodes well for demand for the vehicle, especially given strong rivals like the Xiaomi YU7, which undercuts the Model Y in price.
Tesla China’s upcoming big updates
What is quite interesting is that Tesla China is still competing in the country with one hand partly tied behind its back. So far, Tesla has only been able to secure partial approval for its flagship self-driving software, FSD, in China. This has resulted in V14 not being rolled out to the country yet. Despite this, Tesla China’s “Autopilot automatic assisted driving on urban roads,” as the system is called locally, has earned positive reviews from users.
As per Elon Musk during the 2025 Annual Shareholder Meeting, however, Tesla is expecting to secure full approval for FSD in China in early 2026. “We have partial approval in China, and we hopefully will have full approval in China around February or March or so. That’s what they’ve told us,” Musk said.
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Tesla Full Self-Driving appears to be heading to Europe soon
For years, Musk has said the process for gaining approval in Europe would take significantly more time than it does in the United States. Back in 2019, he predicted it would take six to twelve months to gain approval for Europe, but it has taken much longer.
Tesla Full Self-Driving appears to be heading to Europe soon, especially as the company has continued to expand its testing phases across the continent.
It appears that the effort is getting even bigger, as the company recently posted a job for a Vehicle Operator in Prague, Czech Republic.
This would be the third country the company is seeking a Vehicle Operator in for the European market, joining Germany and Hungary, which already have job postings in Berlin, Prüm, and Budapest, respectively.
🚨Breaking: Tesla is hiring vehicle operators in Prague. pic.twitter.com/CbiJdQLCLj
— Tesla Yoda (@teslayoda) November 19, 2025
This position specifically targets the Engineering and Information Technology departments at Tesla, and not the Robotics and Artificial Intelligence job category that relates to Robotaxi job postings.
Although there has been a posting for Robotaxi Operators in the Eastern Hemisphere, more specifically, Israel, this specific posting has to do with data collection, likely to bolster the company’s position in Europe with FSD.
The job description says:
“We are seeking a highly motivated employee to strengthen our team responsible for vehicle data collection. The Driver/Vehicle Operator position is tasked with capturing high-quality data that contributes to improving our vehicles’ performance. This role requires self-initiative, flexibility, attention to detail, and the ability to work in a dynamic environment.”
It also notes the job is for a fixed term of one year.
The position requires operation of a vehicle for data collection within a defined area, and requires the Vehicle Operator to provide feedback to improve data collection processes, analyze and report collected data, and create daily driving reports.
The posting also solidifies the company’s intention to bring its Full Self-Driving platform to Europe in the coming months, something it has worked tirelessly to achieve as it spars with local regulators.
For years, Musk has said the process for gaining approval in Europe would take significantly more time than it does in the United States. Back in 2019, he predicted it would take six to twelve months to gain approval for Europe, but it has taken much longer.
This year, Musk went on to say that the process of getting FSD to move forward has been “very frustrating,” and said it “hurts the safety of the people of Europe.”
Elon Musk clarifies the holdup with Tesla Full Self-Driving launch in Europe
The latest update Musk gave us was in July, when he said that Tesla was awaiting regulatory approval.
Tesla adds new surprising fee to Robotaxi program
Tesla Model Y sold out in China for 2025
