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Tesla Autopilot and artificial intelligence: The unfair advantage

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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.

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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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Elon Musk

Kia gains Tesla Supercharger access and issues a big apology

Kia gained Tesla Supercharger access and respect from Tesla fans in the same day.

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Kia EV6, EV9 and Niro Owners Gain Access to Over 21,500 Tesla Superchargers

Kia has announced that owners of the EV6, EV9, and Niro EVs have officially gained access to over 21,500 Tesla Supercharger locations in North America.

However, its announcement also contained an apology to Tesla.

First, Kia said that its three EV offerings will have access to Tesla’s expansive Supercharger Network. More than 40,000 DC fast chargers are available to Kia EV drivers, a major uptick as Tesla Supercharger access nearly doubles the number of accessible piles.

Sean Yoon, President of Kia North America and Kia America, said:

“Kia is committed to an exceptional ownership experience, and expanding the network of available DC fast chargers to our EV customers is an important component to maintaining the brand’s leadership in electrified mobility. Now, with access to the Tesla Supercharger network of DC fast chargers, our EV owners can feel even more confident in their decision to purchase or lease a fully electric Kia vehicle.”

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Kia owners who have a CCS1 Charging Port will have access to an NACS adapter through dealerships. This will enable compatibility, as current inlets are not NACS, the port that Tesla utilizes.

However, Kia will eliminate the need for this adapter starting with the 2025 EV6 and 2026 EV9. These will come standard with NACS inlets.

We mentioned Kia included somewhat of an apology to Tesla, which is related to social media posts from “certain Nordic distributors,” as the company puts it:

Kia said in its announcement:

Kia America is aware of marketing posts by certain Nordic distributors. These initiatives were developed entirely independently by those distributors, without direction from Kia AmericaKia Europe or Kia Global. We want it to be clear that these posts do not reflect the position of Kia America, and we remain committed to clear and professional communication that reflects our values.”

The company also said that it “condemns the recent attacks that disrupt the availability of convenient and affordable charging for our customers.”

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Tesla adds new child protection feature to mobile app

Tesla is rolling out within its mobile app a new feature that aims to save the lives of those forgotten in the car.

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Credit: Tesla

Tesla is bolstering its in-car safety system with the addition of a new feature that aims to protect children left in the vehicle, an extension of a feature it introduced with the addition of 4D radar systems.

Children are, unfortunately, victims of accidents even when a vehicle is not in motion. A report from 2024 noted that 37 children under the age of 15 die each year because they are left in cars, usually dying from heatstroke.

Tesla has made a few attempts to eliminate the possibility of this happening. Back in September, coding from Software Update 2024.32 noted that the company would be using an alert system to warn people of children left behind:

Tesla set to roll out new child safety and navigation features, coding shows

This was enabled by the use of a wave sensor within the cabin, a piece of tech Teslarati found in a filing back in 2021 with the FCC.

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The entire idea behind this addition to the vehicles was to alert owners if there were passengers left in the car.

Now, Tesla is adding another level of this to its mobile app, according to a decompile of the Version 4.44.0 update, which is rolling out to customers now.

Tesla App Updates on X revealed a “Child Left Alone Detection” feature in the new app version, which has a few strings from a software perspective:

  • Cannot turn off climate when Child Left Alone Detection is active
  • Climate failed to start. Climate is unavailable when Child Left Alone Detection is active.
  • Climate controls are disabled when Child Left Alone Detection is active
  • Unable to start software update while a child is detected in your vehicle

It appears that, if the vehicle detects a child or another occupant in the car, climate controls will be disabled through the app in an attempt to maintain a proper cabin temperature. Turning the temperature up or even turning climate control off from the app will not be possible.

This is a major update to this feature as it only bolsters the safety of the occupants in the event that they are left behind. Of course, many of us might ask, “How do you leave a child in the car?”

However, it happens, as past events have shown, and this is a great way to eliminate it from happening in Tesla vehicles.

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Tesla FSD ruins other intelligent driving systems for NIO Superfan influencer

“Since I drove FSD, I have been disenchanted with all the ‘driving assistance’ of domestic brands,” Lee wrote.

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Tesla FSD Unsupervised Giga Texas
Credit: Tesla AI/X

Tesla Full Self-Driving (FSD) has been making waves in China, with owners pushing the system to its limits on what appears to be a regular basis. Videos of Tesla drivers in China show FSD navigating the trickiest of roads, from busy city streets to narrow, unpaved paths in rural areas.

And as per an influencer and NIO superfan, FSD is ruining other driver-assist systems from other automakers in China.

FSD Ruins It For Influencer

China-based influencer and NIO superfan Andy Lee recently shared his thoughts about FSD on social media. As per Lee, Chinese intelligent driving systems are overhyped by marketing. But once he personally experienced FSD’s capabilities, he became disillusioned with the offerings of domestic carmakers.

“Since I drove FSD, I have been disenchanted with all the ‘driving assistance’ of domestic brands. I once thought that the ‘driving assistance’ of domestic brands could beat FSD in seconds, but it seems that I was wrong. Not only did they fail to outperform FSD, they were actually crushed in reverse,” Lee wrote in his post.

FSD could very well become Tesla’s moat since even cars that are equipped with the same hardware would not be able to perform similarly unless they have access to the company’s training data and software. Tesla’s fleet is ever-growing as well, which means that FSD will only get better over the years.

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Unsupervised on the Horizon

Tesla is already using FSD Unsupervised for its vehicles that are produced in the Fremont Factory and Gigafactory Texas. As per Elon Musk during the Q1 2025 earnings call, he expects Tesla to be able to roll out FSD Unsupervised to consumers before the end of this year. He also highlighted that Tesla is being extremely careful with FSD Unsupervised’s rollout.

“Before the end of this year. Not necessarily — I say within the U.S., like we do want to test — at Tesla, we’re absolutely hardcore about safety. We go to great lengths to make the safest car in the world and have the lowest accidents per mile in. 

“So we want to be very careful. We want autonomy to be definitively safer than manual driving. So it’s not enough that it just be as safe. It needs to be meaningfully safer than if the car’s manually driven,” Musk stated.

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