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Tesla’s newest Autopilot Vision head: Who is Andrej Karpathy?

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8 years ago

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The EV world was rocked when it was announced that Tesla replaced its Vice President of Autopilot Software, Chris Lattner, with Andrej Karpathy. Karpathy is the company’s new Director of AI and Autopilot Vision, but who he is?

Karpathy most recently worked as a research scientist with Elon Musk’s OpenAI, specializing in deep neural networks.

He also had three summer stints at Google. In 2011 and 2013, Karpathy interned for the tech behemoth working on large scale deep learning and video content analysis. In 2015, he was with Google DeepMind, focusing on deep reinforcement learning.

In 2009, Karpathy graduated from University of Toronto with a Bachelor’s of Science in computer science and in physics. From there, he went to the University of British Columbia and got Master’s Degree in computer science and researched motor control, primarily learning controllers for physically simulated figures.

After finishing graduate school in 2011, Karpathy went to Stanford University to pursue a Ph.D in computer science. He researched machine learning, with an emphasis on deep learning for computer vision and natural language processing. He worked under adviser Fei-Fei Li, the director of Stanford’s AI lab and chief director of Google Cloud. According to his Stanford profile, Karpathy graduated in 2015 before jumping to Google DeepMind and eventually OpenAI.

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Karpathy has been published in scholarly journals and for conferences, including the International Conference on Learning Representations. He also published a couple of blogs to keep his followers posted on research development and a lighter one on topics such as a survival guide to a Ph.D.

In February of this year he joined the steering committee of distill.pub, a journal focusing on machine learning research.

Karpathy will report directly to Musk, and work closely with chip expert and Vice President of Autopilot Hardware Jim Keller on advancing Tesla’s self-driving technology.

Tesla released the following statement regarding the hiring of Karpathy:

Andrej Karpathy, one of the world’s leading experts in computer vision and deep learning, is joining Tesla as Director of AI and Autopilot Vision, reporting directly to Elon Musk. Andrej has worked to give computers vision through his work on ImageNet, as well as imagination through the development of generative models, and the ability to navigate the internet with reinforcement learning. He was most recently a Research Scientist at OpenAI.

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Andrej completed his computer vision PhD at Stanford University, where he demonstrated the ability to derive complex descriptions of images using a deep neural net. For example, identifying not simply that there is a cat in a given picture, but that it is an orange, spotted cat, riding on a skateboard with red wheels on brown hardwood flooring (http://cs.stanford.edu/people/karpathy/main.pdf). He also created and taught “Convolutional Neural Networks for Visual Recognition,” the first and still leading deep learning course at Stanford.

Andrej will work closely with Jim Keller, who now has overall responsibility for Autopilot hardware and software.

To see Karpathy in action discussing deep learning, check him out here:

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Interim East Coast Editor for Teslarati, contributor for NextMobility. Share tips at mdolzer@teslarati.com

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Tesla lands regulatory green light for Robotaxi testing in new state

This will be the third state in total where Tesla is operating Robotaxi, following Austin and California.

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4 hours ago

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September 11, 2025

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Credit: Tesla

Tesla has landed a regulatory green light to test its Robotaxi platform in a new state, less than three months after the ride-hailing service launched in Texas.

Tesla first launched its driverless Robotaxi suite in Austin, Texas, back on June 22. Initially offering rides to a small group of people, Tesla kept things limited, but this was not to be the mentality for very long.

It continued to expand the rider population, the service area, and the vehicle fleet in Austin.

The company also launched rides in the Bay Area, but it does use a person in the driver’s seat to maintain safety. In Austin, the “Safety Monitor” is present in the passenger’s seat during local rides, and in the driver’s seat for routes that involve highway driving.

Tesla is currently testing the Robotaxi platform in other states. We reported that it was testing in Tempe, Arizona, as validation vehicles are traveling around the city in preparation for Robotaxi.

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Tesla looks to make a big splash with Robotaxi in a new market

Tesla is also hoping to launch in Florida and New York, as job postings have shown the company’s intention to operate there.

However, it appears it will launch in Nevada before those states, as the company submitted its application to obtain a Testing Registry certification on September 3. It was processed by the state’s Department of Motor Vehicles Office of Business Licensing on September 10.

It will then need to self-certify for operations, essentially meaning they will need to comply with various state requirements.

This will be the third state in total where Tesla is operating Robotaxi, following Austin and California.

CEO Elon Musk has stated that he believes Robotaxi will be available to at least half of the U.S. population by the end of the year. Geographically, Tesla will need to make incredible strides over the final four months of the year to achieve this.

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Tesla is improving this critical feature in older vehicles

Published

6 hours ago

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September 11, 2025

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Credit: Tesla

Tesla is set to improve a critical feature that has not been present in older vehicles with a new update.

Tesla vehicles feature a comprehensive suite of driver assistance features, some of which aid in driving itself, while others support the vehicle’s surroundings.

One of those features is that of Driver Visualization, and with the rollout of a new update, owners of Intel-based Tesla vehicles are receiving an upgrade that will come with a simple software update.

Tesla plans to use Unreal Engine for driver visualization with crazy upgrade

The update will provide new visualizations while Intel-based vehicles are in reverse, a feature that was not previously available, but will be with Software Update 2025.32.2.

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The improvement was spotted by Not a Tesla App via TheBeatYT_evil:

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Previously, vehicles Tesla built were equipped with Intel-based processors, but newer cars feature the AMD chip, which is capable of rendering these visualizations as they happen. They were capable of visualizations when driving forward, but not in reverse, which is what this change resolves.

It is a good sign for those with Intel-based vehicles, as Tesla seems to be paying attention to what those cars are not capable of and improving them.

This was an undocumented improvement associated with this particular update, so you will not find any mention of it in the release notes that Tesla distributes with each update.

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Tesla looks to make a big splash with Robotaxi in a new market

Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.

Published

8 hours ago

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September 11, 2025

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Credit: Joe Tegtmeyer | X

Tesla is looking to make a big splash with Robotaxi in a new market, as the company was spotted testing validation vehicles in one region where it has not yet launched its ride-hailing service.

After launching Robotaxi in Austin in late June, Tesla followed up with a relatively quick expansion to the Bay Area of California. Both service areas are operating with a geofence that is expansive: In Texas, it is 173 square miles, while in the Bay Area, it is roughly 400 square miles.

Tesla has been transparent that it is prioritizing safety, but it believes it can expand to basically any geographical location within the United States and find success with its Robotaxi suite. CEO Elon Musk said it could be available to half of the U.S. population by the end of the year.

There have been plenty of reports out there that have speculated as to where Tesla would land next to test Robotaxi, and Nevada, Florida, Arizona, and New York have all been in the realm of possibility. These regions will need to approve Tesla for regulatory purposes before Robotaxi can officially operate.

Tesla is still testing and performing validation in several regions, and in Tempe, Arizona, things are moving forward as a Model Y with a LiDAR rig was spotted performing ground truth for the platform:

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With the LiDAR unit, many followers of the self-driving and autonomy space might wonder why Tesla uses these apparatuses during validation, especially considering the company’s stance and vision-based approach.

LiDAR is used for “ground truth,” which is basically a solidification or confirmation of what the cameras on the car are seeing. It is a great way to essentially confirm the accuracy of the vision-based suite, and will not be used on Robotaxi units used within the ride-hailing suite.

The Robotaxi platform was made available to the public earlier this month, as Tesla launched its app for iOS users.

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Tesla Robotaxi app download rate demolishes Uber, Waymo all-time highs

Downloading the app allows you to join a waitlist, giving you the opportunity to utilize and test the Robotaxi platform in either Austin or the Bay Area.

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