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

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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.

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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.

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.

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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.

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.

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

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

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Elon Musk reiterates Tesla Optimus’ most sci-fi potential yet

Musk shared his comments in a series of posts on social media platform X.

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Credit: Tesla/YouTube

Elon Musk recently reiterated one of the most ambitious forecasts for Tesla’s humanoid robot, Optimus, stating it could become the first real-world example of a Von Neumann machine. He also noted once more that Optimus would be Tesla’s biggest product.

Musk shared his comments in a series of posts on social media platform X.

Optimus as a von Neumann machine

In response to a post on X that pondered on sci-fi timelines becoming real, Musk wrote that “Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet.” In a separate post, Musk wrote that Optimus will be Tesla’s “biggest product ever,” a phrase he has used in the past to describe the humanoid robot’s importance to the electric vehicle maker.

A Von Neumann machine is a class of theoretical self-replicating systems originally proposed in the mid-20th century by the mathematician John von Neumann. In his concept, von Neumann described machines that could travel to other worlds, use local materials to create copies of themselves, and carry out large-scale tasks without outside intervention. 

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Elon Musk’s broader plans

Considering Musk’s comments, it appears that Optimus would eventually be capable of performing complex work autonomously in environments beyond Earth. If Optimus could achieve such a feat, it could very well unlock humanity’s capability to explore locations beyond Earth. The idea of space exploration becomes more than feasible.

Elon Musk has discussed space-based AI compute, large-scale robotic production, and the role of SpaceX’s Starship in transporting hardware and materials to other planets. While Musk did not detail how Optimus would fit with SpaceX’s exploration activities, his Von Neumann machine comments suggest he is looking at Tesla’s robotics as part of a potential interplanetary ecosystem. 

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Tesla China January wholesale sales rise 9% year-on-year

Tesla reported January wholesale sales of 69,129 China-made vehicles, as per data released by the China Passenger Car Association.

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Credit: Tesla China

Tesla China reported January wholesale sales of 69,129 Giga Shanghai-made vehicles, as per data released by the China Passenger Car Association (CPCA). The figure includes both domestic sales and exports from Gigafactory Shanghai.

The total represented a 9.32% increase from January last year but a 28.86% decline from December’s 97,171 units.

China EV market trends

The CPCA estimated that China’s passenger new energy vehicle wholesale volume reached about 900,000 units in January, up 1% year-on-year but down 42% from December. Demand has been pressured by the start-of-year slow season, a 5% additional purchase tax cost, and uncertainty around the transition of vehicle trade-in subsidies, as noted in a report from CNEV Post.

Market leader BYD sold 210,051 NEVs in January, down 30.11% year-on-year and 50.04% month-on-month, as per data released on February 1. Tesla China’s year-over-year growth then is quite interesting, as the company’s vehicles seem to be selling very well despite headwinds in the market. 

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Tesla China’s strategies

To counter weaker seasonal demand, Tesla China launched a low-interest financing program on January 6, offering up to seven-year terms on select produced vehicles. The move marked the first time an automaker offered financing of that length in the Chinese market.

Several rivals, including Xiaomi, Li Auto, XPeng, and NIO, later introduced similar incentives. Tesla China then further increased promotions on January 26 by reinstating insurance subsidies for the Model 3 sedan. The CPCA is expected to release Tesla’s China retail sales and export breakdown later this month.

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Tesla’s Apple CarPlay ambitions are not dead, they’re still in the works

For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.

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Credit: Michał Gapiński/YouTube

Tesla’s Apple CarPlay ambitions appeared to be dead in the water after a large amount of speculation late last year that the company would add the user interface seemed to cool down after several weeks of reports.

However, it appears that CarPlay might make its way to Tesla vehicles after all, as a recent report seems to indicate that it is still being worked on by software teams for the company.

The real question is whether it is truly needed or if it is just a want by so many owners that Tesla is listening and deciding to proceed with its development.

Back in NovemberBloomberg reported that Tesla was in the process of testing Apple CarPlay within its vehicles, which was a major development considering the company had resisted adopting UIs outside of its own for many years.

Nearly one-third of car buyers considered the lack of CarPlay as a deal-breaker when buying their cars, a study from McKinsey & Co. outlined. This could be a driving decision in Tesla’s inability to abandon the development of CarPlay in its vehicles, especially as it lost a major advantage that appealed to consumers last year: the $7,500 EV tax credit.

Tesla owners propose interesting theory about Apple CarPlay and EV tax credit

Although we saw little to no movement on it since the November speculation, Tesla is now reportedly in the process of still developing the user interface. Mark Gurman, a Bloomberg writer with a weekly newsletter, stated that CarPlay is “still in the works” at Tesla and that more concrete information will be available “soon” regarding its development.

While Tesla already has a very capable and widely accepted user interface, CarPlay would still be an advantage, considering many people have used it in their vehicles for years. Just like smartphones, many people get comfortable with an operating system or style and are resistant to using a new one. This could be a big reason for Tesla attempting to get it in their own cars.

Tesla gets updated “Apple CarPlay” hack that can work on new models

For what it’s worth, as a Tesla owner, I don’t particularly see the need for CarPlay, as I have found the in-car system that the company has developed to be superior. However, many people are in love with CarPlay simply because, when it’s in a car that is capable, it is really great.

It holds one distinct advantage over Tesla’s UI in my opinion, and that’s the ability to read and respond to text messages, which is something that is available within a Tesla, but is not as user-friendly.

With that being said, I would still give CarPlay a shot in my Tesla. I didn’t particularly enjoy it in my Bronco Sport, but that was because Ford’s software was a bit laggy with it. If it were as smooth as Tesla’s UI, which I think it would be, it could be a really great addition to the vehicle.

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