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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.

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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Tesla is launching a crazy new Rental program with cheap daily rates

This week, Tesla launched its in-house Rental program that will give people a vehicle for between three to seven days, with prices varying and starting at just $60 per day.

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(Credit: Tesla)

Tesla is launching a crazy new Rental program with cheap daily rates, giving people the opportunity to borrow a vehicle in the company’s lineup with an outrageous number of perks.

This week, Tesla launched its in-house Rental program that will give people a vehicle for between three to seven days, with prices varying and starting at just $60 per day.

However, there are additional perks that make it a really great deal, including Free Supercharging and Free Full Self-Driving (Supervised) for the duration of the rental.

There are no limits on mileage or charging, although the terms do not allow you to leave the state you are renting.

Tesla wrote in an email advertising the program:

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“Rent a Tesla and see how it makes every errand, commute, and road trip more fun. While it’s yours, try Full Self-Driving (Supervised) and control and monitor your vehicle with the Tesla app. 

Schedule your rental for three to seven days starting at $60 per day (plus taxes and fees) and charge for free at any Tesla-owned Supercharger.

Order your own Tesla within seven days of your rental to get up to a $250 credit toward your purchase.”

Tesla has long adopted the mentality that butts in seats will sell cars, and for the most part, it is a great strategy. Driving a Tesla is different from owning and driving a combustion engine vehicle; it truly feels as if you are in a car from the past when you get back in an ICE car.

This strategy could be looked at as more of a way for people to experience Tesla ownership than anything.

Although some might use it as a typical rental program that will see it be a cool way to drive without putting miles on a personal car, most will use it as the 48-hour test drive was designed for, which is a short-term way to experience EV ownership.

Tesla is only offering this program at a handful of locations currently, including San Diego and Costa Mesa, California.

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Tesla makes online ordering even easier

Tesla has a great trade-in program that allows you to give the company your vehicle in exchange for cash, even if it’s not an EV. Their trades are mostly fair, but the company seems to undervalue its own vehicles, and there have been plenty of complaints over offers in the past.

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(Credit: Tesla Asia | X)

Tesla has adjusted its Online Design Studio to make for an easier trade-in process, reflecting the details of the exchange for a more accurate reflection of payment terms.

Tesla has a great trade-in program that allows you to give the company your vehicle in exchange for cash, even if it’s not an EV. Their trades are mostly fair, but the company seems to undervalue its own vehicles, and there have been plenty of complaints over offers in the past.

Trade-ins are usually given by submitting vehicle details, then Tesla sends an email with an offer. Offers are non-negotiable, but do adjust over time, although the latest offer is valid for 30 days.

I traded my ICE vehicle for a Tesla Model Y: here’s how it went

Knowing your new Tesla’s cash price, leasing or loan details, and monthly payment information used to be done by the car buyer. From personal experience, I simply subtracted my trade-in from the cash price of the Tesla Model Y, and I plugged those numbers into the payment calculator.

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Now, Tesla is implementing the trade-in process directly into the Design Studio. It will adjust the price of the car and the different monthly payment methods automatically:

The change is already noticed in a handful of states, including California, but it has not rolled out across the board quite yet. It will be implemented in all of the U.S., as well as Canada, this coming week.

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The trade-in process is very simple, and after you accept your offer, you simply drop your vehicle off during the delivery process. Making this simple change will be greatly appreciated by owners.

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Tesla confirms Robotaxi is heading to five new cities in the U.S.

After launching in Austin, Texas, in late June and the Bay Area of California just a few weeks later, Tesla has been attempting to expand its Robotaxi suite to new states and cities in the U.S., and even outside of the country.

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Credit: Tesla

Tesla Robotaxi will hit five new cities in the United States in the coming months, the company confirmed.

After launching in Austin, Texas, in late June and the Bay Area of California just a few weeks later, Tesla has been attempting to expand its Robotaxi suite to new states and cities in the U.S., and even outside of the country.

The Robotaxi suite is a ride-hailing service Tesla offers, but the details of it change with each jurisdiction, as regulations vary. For example, in Austin, Tesla can operate the Robotaxi suite without anyone in the driver’s seat, as long as the vehicle does not enter a freeway.

Credit: Tesla

In the Bay Area, a Safety Monitor rides in the driver’s seat, essentially acting as the vehicle operator with Full Self-Driving controlling the car.

The local regulations and how Tesla handles them will continue to be a relevant part of the discussion, especially as the company aims to expand the Robotaxi program to different areas. This has been a primary focus of the company for several months, especially within the United States.

CEO Elon Musk said that Tesla was aiming to launch Robotaxi in Nevada, Arizona, and Florida. However, the company detailed five specific cities where it will launch Robotaxi next during the Annual Shareholder Meeting on Thursday.

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Tesla will launch Robotaxi in Las Vegas, Phoenix, Dallas, Houston, and Miami next, broadening its Service Area for the suite to more major cities across the U.S.

It has said it plans to offer the service to half of the U.S. population by the end of the year, but it does not seem as if it will expand to more than a handful of cities this year, which is still tremendous progress, all things considered.

As far as autonomy is concerned, Tesla has always had lofty expectations and has made some even loftier statements.

At the Shareholder Meeting, Musk said that the company would likely be able to enable vehicle owners to text while the vehicle drives, alleviating them from potentially having some of the responsibility they have behind the wheel.

Tesla says texting and driving capability is coming ‘in a month or two’

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It is not confirmed that Tesla will roll this out in the next few months, but Musk said there is a possibility.

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