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Tesla Autopilot and artificial intelligence: The unfair advantage

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8 years ago

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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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Elon Musk

Norway’s $2 trillion sovereign wealth fund has voted against Elon Musk’s 2025 performance award

The fund is managed by Norges Bank Investment Management (NBIM), and it holds a 1.14% stake in Tesla valued at about $11.6 billion.

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35 seconds ago

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November 4, 2025

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MINISTÉRIO DAS COMUNICAÇÕES, CC BY 2.0 , via Wikimedia Commons

Norway’s $2 trillion sovereign wealth fund has voted against Elon Musk’s 2025 performance award, which will be ultimately decided at Tesla’s upcoming annual shareholder meeting. 

The fund is managed by Norges Bank Investment Management (NBIM), and it holds a 1.14% stake in Tesla valued at about $11.6 billion.

NBIM’s opposition

NBIM confirmed it had already cast its vote against Musk’s pay package, citing concerns over its total size, dilution, and lack of mitigation of key person risk, as noted in a CNBC report. The fund acknowledged Musk’s leadership of the EV maker, and it stated that it will continue to seek dialogue with Tesla about its concerns. 

“While we appreciate the significant value created under Mr. Musk’s visionary role, we are concerned about the total size of the award, dilution, and lack of mitigation of key person risk- consistent with our views on executive compensation. We will continue to seek constructive dialogue with Tesla on this and other topics,” NBIM noted.

The upcoming Tesla annual shareholder meeting will decide whether Musk should receive his proposed 2025 performance award, which would grant him stock options worth up to $1 trillion over the next decade if Tesla hits several ambitious milestones, such as a market cap of $8.5 trillion. The 2025 performance award will also increase Musk’s stake in Tesla to 25%.

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Elon Musk and NBIM

Elon Musk’s proposed 2025 CEO performance award has proven polarizing, with large investors split on whether the executive should be given a pay package that, if fully completed, would make him a trillionaire. 

Institutional Shareholder Services and Glass Lewis have recommended that shareholders vote against the deal, and initiatives such as the “Take Back Tesla” campaign have rallied investors to oppose the proposed performance award. On the other hand, other large investors such as ARK Invest and the State Board of Administration of Florida (SBA) have urged shareholders to approve the compensation plan. 

Interestingly enough, this is not the first time that Musk and NBIM have found themselves on opposing sides. Last year, NBIM voted against reinstating Musk’s 2018 performance award, which had already been fully accomplished but was rescinded by a Delaware judge.

Later reports shared text messages between Musk and NBIM Chief Executive Nicolai Tangen, who was inviting the CEO to a dinner in Oslo. Musk declined the invitation, writing, “When I ask you for a favor, which I very rarely do, and you decline, then you should not ask me for one until you’ve done something to make amends. Friends are as friends do.”

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Tesla begins production of new Model Y trim at Giga Berlin

Tesla announced on Monday that its Model Y Standard configuration was officially being built at Giga Berlin, less than one month after the company officially announced the configuration early last month.

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2 hours ago

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November 4, 2025

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Credit: Tesla

Tesla has begun production of the new Model Y trim at Gigafactory Berlin, the company’s production plant in Germany.

Tesla announced on Monday that its Model Y Standard configuration was officially being built at Giga Berlin, less than one month after the company officially announced the configuration early last month.

On October 7, Tesla announced the launch of the Model 3 and Model Y Standard trim levels, its answer to the call for affordable EVs within its lineup and its response to the loss of the $7,500 electric vehicle tax credit.

On October 3, Tesla started production of the vehicles in Germany:

The Standard iteration of the Model Y is void of many of the more premium features that are available in the Rear-Wheel-Drive, All-Wheel-Drive, and Performance trims of the vehicle are equipped with.

A few of the features of the Model Y Standard are:

  • Single Motor configuration
  • No rear touchscreen
  • Textile seats with vegan leather, instead of all vegan leather
  • 320-mile range
  • No glass roof

The launch of the Model Y Standard was truly a move to help Tesla get vehicles into the sub-$40,000 price point, and although many consumers were hoping to see the company get closer to $30,000 with these cars, this is a great starting point.

Deliveries in the United States have already started, and it seems it will be a vehicle that will do one of two things: either push some consumers to finally make the jump to Tesla, or it will give car buyers another reason to buy the Premium trims, as they may feel the lack of features is not a good enough deal.

This is something we saw with the Cybertruck’s Rear-Wheel-Drive configuration, which launched last year and ended up being more of the latter option listed above.

The Tesla Model Y Standard is actually a great deal in Europe

It was only a $10,000 discount from the All-Wheel-Drive Cybertruck, but it also did not have adaptive air suspension, premium interiors, or the powered tonneau cover, which many people felt was too much of a sacrifice.

The Rear-Wheel-Drive Cybertruck was discontinued only a few months later.

It does not seem as if this is the case with the Model Y Standard, which already seems to be an attractive option to some buyers.

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Cybertruck

Tesla begins wide rollout of Full Self-Driving v14 to Cybertruck

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16 hours ago

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November 3, 2025

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Credit: Weibo (via YYDS on X)

Tesla has officially begun the wide rollout of Full Self-Driving (Supervised) v14 to the Cybertruck about a month after the company started rolling it out to other vehicles in the fleet.

On Monday, Tesla officially started rolling out v14.1.5 to Cybertruck owners, the first FSD v14 rollout for owners of the all-electric pickup.

Owners have been anxiously waiting for Tesla to begin the wide release of v14 to Cybertruck, as the company said it would refine the suite for the vehicle.

Tesla has finally started rolling out to many owners, who are reporting that their Cybertrucks are downloading Software Update 2025.38.8.5, which contains FSD v14.1.5:

Tesla has to be more cautious with rolling out FSD on the Cybertruck than on other vehicles for a few reasons. Initially, the Cybertruck utilizes an all-wheel steering system that turns differently than the S3XY lineup. This creates a challenge for the Tesla AI team as they have to cater to this specific maneuvering change.

Additionally, the Cybertruck is much larger, and the exterior cameras responsible for seeing the vehicle’s surroundings are placed differently than those of the other vehicles.

This requires additional calibration to ensure safety.

The full release notes for Full Self-Driving v14.1.5 are as follows:

  • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

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