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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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Tesla eyes two new states for Robotaxi

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Credit: @TerrapinTerpene/X

Tesla has officially shown that it is eyeing two new states for Robotaxi operation in the U.S., as it hopes to add the new areas to its ever-growing list of places where the suite is either active or in the testing phase.

Tesla first launched its Robotaxi suite in Austin, Texas, in late June. It expanded the suite to the San Francisco Bay Area just a month later. Since then, it has not launched any public rides in any other states, but it has gained several approvals for early testing.

Tesla officially launches Robotaxi service with no driver

In preparation for operation in new states, Tesla routinely lists job postings on its Careers website, which helps align potential employees with opportunities ahead of regulatory approvals. This is a strategy that allows Tesla to start operations immediately upon licensing for testing.

Tesla started hiring Vehicle Operators for Autopilot in Arizona and Nevada months before the company gained any sort of approvals from state governments for Robotaxi. However, those approvals eventually came in the form of testing licenses, which allow the company to perform validation ahead of its public launch.

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Tesla begins validating Robotaxi in a new area, hinting at expansion

Now, Tesla has posted job listings for Vehicle Operators for Autopilot in two new states: Colorado and Illinois. The Colorado job listing is located in Aurora, a suburb of Denver. Tesla is looking for Robotaxi operators in Chicago as well.

These postings hint toward Tesla’s continuing efforts to expand Robotaxi to new places. Earlier this year, CEO Elon Musk said the company would like to have Robotaxi available to at least half of the U.S. population.

It has expanded significantly since its initial launch in late June, but it is still a far way off from where Tesla would like it to be by year’s end.

So far, Tesla has job listings for Autopilot Vehicle Operators in Arizona, California, Texas, Florida, Colorado, Nevada, and Illinois.

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Tesla launched an ad for Elon Musk’s pay package on Paramount+

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Credit: Tesla

Tesla’s advertising strategy has taken a drastic turn as the company’s upcoming Shareholder Meeting will feature perhaps the most crucial vote in its history: the approval of CEO Elon Musk’s new pay package.

For years, the issue of Tesla’s advertising and marketing strategy has been a major point of conversation for investors in fans. It seems to be split right down the middle, with half wanting Tesla to set aside some money for advertising. The other half, just the opposite.

Tesla has been transparent that the money it would spend on advertising, marketing, and public relations is better set aside for the development of future products.

However, it has recently adopted a different tone in advertising, pushing some commercials on social media platforms like X and Instagram.

For the first time, an ad was seen on streaming services like Paramount+, but it wasn’t promoting Tesla’s products directly. Instead, it was more of a message for shareholders to vote on Musk’s pay package, something Tesla feels is a necessity:

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“The future of Tesla is in your hands,” the ad reads at the end. It seems as if Tesla is taking whatever steps it needs to accomplish the task of getting Musk a new pay package and retaining him as its CEO.

On September 5, Tesla officially outlined its plans for a CEO Performance Award for Musk. It would require him to lift Tesla’s market capitalization to about $8.5 trillion, up from the $1.36 trillion it sits at today.

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Elon Musk’s new pay plan ties trillionaire status to Tesla’s $8.5 trillion valuation

It is obvious that Tesla is really hoping to get the pay package passed and is willing to shift some of its budget to encourage shareholders to vote.

However, there are some interesting perspectives on the move, and it’s sort of strange to see Tesla not advertising its vehicles or products, but only its pay package that would get its CEO paid.

Some of those who saw the ad are questioning the strategy:

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Tesla Robotaxi testing in Arizona is ramping up quickly

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Credit: Tesla

Tesla is validating Robotaxi in a new area, and as the company has continued to gain some additional permissions to begin testing in new states, it seems its Full Self-Driving-based ride-hailing project is moving toward a larger footprint.

Two Robotaxi units with LiDAR validation equipment were spotted in Gilbert, Arizona, recently, showing that Tesla is aiming to launch its ride-hailing service in the state soon:

Another unit was spotted in Tempe, Arizona:

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These types of validation vehicles have been spotted in several areas ahead of their launch as a public ride-hailing service for passengers. Tesla first launched Robotaxi in Austin, Texas, back in late June, and since then, it has expanded to the Bay Area of California.

However, Tesla has continued to attempt to expand Robotaxi to other areas as well, including Nevada and Arizona. It has also been working toward approvals in other states based on job postings, as Tesla is hiring for Autopilot Vehicle Operators in New York and Florida, as well.

The expansion of the Robotaxi ride-hailing service has been an effort that Tesla has been spending a lot of time on over the past few months. CEO Elon Musk said the expansion aims to bring Robotaxi to at least half of the U.S. population by the end of the year, but there is still plenty of work to be done.

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Tesla Robotaxi heads to a new major Texas city for the first time

Tesla did make its Robotaxi app public in recent months, allowing more members of the public to experience the suite for themselves, as long as they could get to Austin or the Bay Area.

In the coming months, it seems more apparent that Tesla will take a broader focus on expanding Robotaxi, especially with the fact that these validation vehicles are being spotted throughout different parts of the United States.

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