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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.

Cybertruck

Tesla announces delivery timeline for Cybertruck in new market

“Coming soon! Estimated deliveries in Q1 for UAE.”

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Credit: Tesla

Tesla announced its delivery timeline for the Cybertruck as it heads to a new market.

Tesla Cybertruck deliveries started in the United States and Canada back in late 2023. However, the company has been looking to expand the all-electric pickup to new markets, including the Middle East, for which it opened up orders for earlier this year.

Initially, Tesla planned to launch deliveries late this year, but there has been a slight adjustment to the timeline, and the company now anticipates the pickup to make its way to the first adopters in the United Arab Emirates in Q1 2026.

This was confirmed by the Tesla Cybertruck program’s lead engineer, Wes Morrill:

Tesla first opened orders for the Cybertruck in the Middle East in mid-September of this year. It will be priced at AED 404,900 for the Dual Motor All-Wheel-Drive ($110,254) and AED 454,900 ($123,869) for the Cyberbeast trim.

The Cybertruck has been a highly anticipated vehicle in many parts of the world, but its ability to be sold in various regions is what is truly causing delays in the company’s efforts to bring the electric pickup worldwide.

Tesla confirms Cybertruck will make its way out of North America this year

In Europe, various agencies have challenged the design of the Cybertruck, arguing that it is unsafe for pedestrians due to its sharp edges and “boxy” design.

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Agencies in the EU have said the vehicle’s “blade-like” protrusions are a violation of rules that ban sharp exterior edges that could cause severe injuries.

In Asia, Tesla will likely have to develop a smaller, more compact version of the vehicle as it does not align with local standards for urban environments. However, Tesla filed for energy consumption approval for the Cybertruck in December 2024, but there has been no real update on the status of this particular inquiry.

Overall, these issues highlight a real bottleneck in futuristic vehicle designs and the out-of-date regulations that inhibit the vehicle from becoming more widely available. Of course, Tesla has teased some other designs, including a more traditional pickup or even a compact Cybertruck build, but the company is not one to shy away from its commitments.

Nevertheless, the Cybertruck will appear in the Middle East for the first time in 2026.

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Elon Musk

Tesla teases new AI5 chip that will revolutionize self-driving

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Credit: Tesla

Elon Musk revealed new information on Tesla’s AI5, previously known as Hardware 5, chip, for self-driving, which will be manufactured by both Samsung and TSMC.

The AI5 chip is Tesla’s next-generation hardware chip for its self-driving program, Optimus humanoid robots, and other AI-driven features in both vehicles and other applications. It will be the successor to the current AI4, previously known as Hardware 4, which is currently utilized in Tesla’s newest vehicles.

Elon Musk reveals Tesla’s HW5 release date, and that it won’t be called HW5

AI5 is specially optimized for Tesla use, as it will work alongside the company’s Neural Networks to focus on real-time inference to make safe and logical decisions during operation. It was first teased by Tesla in mid-2024 as Musk called it “an amazing design” and “an immense jump” from the current AI4 chip.

It will be roughly 4o times faster, have 8 times the raw compute, 9 times the memory capacity, 5 times the memory bandwidth, and 3 times the efficiency per watt.

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It will be manufactured by both TSMC and Samsung at their Arizona and Texas fab locations, respectively.

Here’s what Musk revealed about the chip yesterday:

Different Versions

Samsung and TSMC will make slightly different versions of the AI5 chip, “simply because they translate designs to physical form differently.” However, Musk said the goal is that its AI software would work identically.

This was a real concern for some who are familiar with chip manufacturing, as Apple’s A9 “Chipgate” saga seemed to be echoing through Tesla.

Back in 2015, it was found that Apple’s A9 chips had different performances based on who manufactured them. TSMC and Samsung were both building the chips, but it was found that Samsung’s chips had shorter battery life than TSMC-fabricated versions.

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Apple concluded that the variance was about 2-3 percent. However, Tesla will look to avoid this altogether.

Release and Implementation into Vehicles

Musk said that some samples will be available next year, and “maybe a small number of units” would equip the chip as well. However, high-volume production is only possible in 2027.

This means, based on Tesla’s own timeline for Cybercab production in Q2 2026, early iterations of the vehicle would rely on AI4. Many believe AI4 can be utilized for solved self-driving, but the power of subsequent versions, including AI5 and beyond, will be more capable.

AI6 and Beyond

AI6 will utilize the same fabs as AI5, but there would be a theoretical boost in performance by two times with this version.

AI6 could enter volume production by mid-2028. However, AI7, which Musk only briefly mentioned, “will need different fabs, as it is more adventurous.”

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Tesla makes a splash at China’s Import Expo with Cybercab and Optimus

It appears that Elon Musk’s vision is something that still resonates with people.

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Image: Tesla China
Image: Tesla China

Tesla’s fully autonomous Cybercab made its first appearance in the Asia-Pacific region at the 8th China International Import Expo (CIIE) in Shanghai on November 5, becoming the centerpiece of an event that drew 12 of the world’s leading automakers. 

The new model offers a glimpse into Tesla’s driverless ride-hailing future, and based on the reception of the event’s attendees, it appears that Elon Musk’s vision is something that still resonates with people.

Tesla showcases its driverless vision with the Cybercab

At this year’s expo, themed “Mobility, Infinite Possibilities,” Tesla’s futuristic two-seat Cybercab stood out as a showcase of complete autonomy. According to Tesla staff, the vehicle lacks both a steering wheel and pedals, relying entirely on Tesla’s cameras and an end-to-end neural network designed for full self-driving.

The Cybercab will ultimately serve in the company’s expanding Robotaxi fleet, a cornerstone of Elon Musk’s long-promised autonomous mobility network. During the event, a Tesla employee emphasized that the Cybercab’s model’s compact layout reflects real-world usage, as 92% of trips involve just one or two passengers, as noted in a Sina News report. Trips that require more passengers could easily be handled by the Model 3 and Model Y, which are both capable of seating four, or even five passengers.

Optimus, Tesla’s humanoid robot that is designed for both home and industrial use, was also present at the event. Similar to the Cybercab, Optimus also attracted quite a lot of attention from the event’s attendees.

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Automakers reaffirm commitment to Chinese innovation

Other global automakers, including Volkswagen, Mercedes-Benz, and Honda, also displayed cutting-edge concept cars and intelligent systems, but few captured the same interest as Tesla’s bold showcase of its autonomy and robotics.

Beyond new models, this year’s CIIE highlighted a renewed focus on local innovation and collaboration in China’s rapidly evolving EV landscape. Executives from Volkswagen, Audi, and General Motors reaffirmed that their long-term strategies center on “in China, for China,” strengthening R&D operations and forming tech partnerships with domestic suppliers.

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