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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 gamifies Supercharging with new ‘Charging Passport’
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla is gamifying its Supercharging experience by offering a new “Charging Passport,” hoping to add a new layer to the ownership experience.
While it is not part of the Holiday Update, it is rolling out around the same time and offers a handful of cool new features.
Tesla’s Charging Passport will be available within the smartphone app and will give a yearly summary of your charging experience, helping encapsulate your travel for that year.
It will also include things like badges for special charging spots, among other metrics that will show all of the different places people have traveled to plug in for range.
Tesla has just introduced “Charging Passport,” a new yearly summary of your charging.
• Charging badges: Iconic Charging badge (for visiting places like the Tesla Diner, Oasis Supercharger, etc), Explorer badge, green saver badge, etc.
• Total unique Superchargers visited
•… pic.twitter.com/c1DHTWXpj7— Sawyer Merritt (@SawyerMerritt) December 8, 2025
Tesla will include the following metrics within the new Charging Passport option within the Tesla app:
- Charging badges: Iconic charging badges for visiting places like the Tesla Diner, Oasis Supercharger, etc., Explorer Badge, and more
- Total Unique Superchargers Visited
- Total Charging Sessions
- Total Miles Added during Charging Sessions
- Top Charging Day
- Longest Trip
- Favorite Charging Locations
This will give people a unique way to see their travels throughout the year, and although it is not necessarily something that is needed or adds any genuine value, it is something that many owners will like to look back on. After all, things like Spotify Wrapped and Apple Music Replay have been a great way for people to see what music they listened to throughout the year.
This is essentially Tesla’s version of that.
With a handful of unique Superchargers already active, Tesla is also building some new ones, like a UFO-inspired location in New Mexico, near Roswell.
Tesla is building a new UFO-inspired Supercharger in the heart of Alien country
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Tesla launches its coolest gift idea ever just a few weeks after it was announced
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention.”
Tesla has launched its coolest gift idea ever, just a few weeks after it was announced.
Tesla is now giving owners the opportunity to gift Full Self-Driving for one month to friends or family through a new gifting program that was suggested to the company last month.
The program will enable people to send a fellow Tesla owner one month of the company’s semi-autonomous driving software, helping them to experience the Full Self-Driving suite and potentially help Tesla gain them as a subscriber of the program, or even an outright purchase.
Tesla is going to allow owners to purchase an FSD Subscription for another owner for different month options
You’ll be able to gift FSD to someone! https://t.co/V29dhf5URj
— TESLARATI (@Teslarati) November 3, 2025
Tesla has officially launched the program on its Shop. Sending one month of Full Self-Driving costs $112:
“Gift one month of Full Self-Driving (Supervised), which allows the vehicle to drive itself almost anywhere with minimal intervention. All sales are final. Can only be purchased and redeemed in the U.S. This gift card is valued at $112.00 and is intended to cover the price of one month of FSD (Supervised), including up to 13% sales tax. It is not guaranteed to cover the full monthly price if pricing or tax rates change. This gift card can be stored in Tesla Wallet and redeemed toward FSD (Supervised) or any other Tesla product or service that accepts gift card payments.”
Tesla has done a great job of expanding Full Self-Driving access over the past few years, especially by offering things like the Subscription program, free trials through referrals, and now this gift card program.
Gifting Full Self-Driving is another iteration of Tesla’s “butts in seats” strategy, which is its belief that it can flip consumers to its vehicles and products by simply letting people experience them.
There is also a reason behind pushing Full Self-Driving so hard, and it has to do with CEO Elon Musk’s compensation package. One tranche requires Musk to achieve a certain number of active paid Full Self-Driving subscriptions.
More people who try the suite are likely to pay for it over the long term.
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Tesla expands Robotaxi app access once again, this time on a global scale
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
Tesla has expanded Robotaxi app access once again, but this time, it’s on a much broader scale as the company is offering the opportunity for those outside of North America to download the app.
Tesla Robotaxi is the company’s early-stage ride-hailing platform that is active in Texas, California, and Arizona, with more expansion within the United States planned for the near future.
Tesla said recently it plans to launch Robotaxi in Miami, Houston, Las Vegas, Phoenix, and Dallas.
The platform has massive potential, and Tesla is leaning on it to be a major contributor to even more disruption in the passenger transportation industry. So far, it has driven over 550,000 miles in total, with the vast majority of this coming from the Bay Area and Austin.
First Look at Tesla’s Robotaxi App: features, design, and more
However, Tesla is focusing primarily on rapid expansion, but most of this is reliant on the company’s ability to gain regulatory permission to operate the platform in various regions. The expansion plans go well outside of the U.S., as the company expanded the ability to download the app to more regions this past weekend.
So far, these are the areas it is available to download in:
- Japan
- Thailand
- Hong Kong
- South Korea
- Australia
- Taiwan
- Macau
- New Zealand
- Mexico
- U.S.
- Canada
Right now, while Tesla is focusing primarily on expansion, it is also working on other goals that have to do with making it more widely available to customers who want to grab a ride from a driverless vehicle.
One of the biggest goals it has is to eliminate safety monitors from its vehicles, which it currently utilizes in Austin in the passenger’s seat and in the driver’s seat in the Bay Area.
A few weeks ago, Tesla started implementing a new in-cabin data-sharing system, which will help support teams assist riders without anyone in the front of the car.
Tesla takes a step towards removal of Robotaxi service’s safety drivers
As Robotaxi expands into more regions, Tesla stands to gain tremendously through the deployment of the Full Self-Driving suite for personal cars, as well as driverless Robotaxis for those who are just hailing rides.
Things have gone well for Tesla in the early stages of the Robotaxi program, but expansion will truly be the test of how things operate going forward. Navigating local traffic laws and gaining approval from a regulatory standpoint will be the biggest hurdle to jump.
Tesla gamifies Supercharging with new ‘Charging Passport’
Tesla launches its coolest gift idea ever just a few weeks after it was announced
