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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.

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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.

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 China exports 50,644 vehicles in January, up sharply YoY

The figure also places Tesla China second among new energy vehicle exporters for the month, behind BYD.

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Credit: Tesla China

Tesla China exported 50,644 vehicles in January, as per data released by the China Passenger Car Association (CPCA).

This marks a notable increase both year-on-year and month-on-month for the American EV maker’s Giga Shanghai-built Model 3 and Model Y. The figure also places Tesla China second among new energy vehicle exporters for the month, behind BYD.

The CPCA’s national passenger car market analysis report indicated that total New Energy Vehicle exports reached 286,000 units in January, up 103.6% from a year earlier. Battery electric vehicles accounted for 65% of those exports.

Within that total, Tesla China shipped 50,644 vehicles overseas. By comparison, exports of Giga Shanghai-built Model 3 and Model Y units totaled 29,535 units in January last year and just 3,328 units in December. 

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This suggests that Tesla China’s January 2026 exports were roughly 1.7 times higher than the same month a year ago and more than 15 times higher than December’s level, as noted in a TechWeb report.

BYD still led the January 2026 export rankings with 96,859 new energy passenger vehicles shipped overseas, though it should be noted that the automaker operates at least nine major production facilities in China, far outnumering Tesla. Overall, BYD’s factories in China have a domestic production capacity for up to 5.82 million units annually as of 2024.

Tesla China followed in second place, ahead of Geely, Chery, Leapmotor, SAIC Motor, and SAIC-GM-Wuling, each of which exported significant volumes during the month. Overall, new energy vehicles accounted for nearly half of China’s total passenger vehicle exports in January, hinting at strong overseas demand for electric cars produced in the country.

China remains one of Tesla China’s most important markets. Despite mostly competing with just two vehicles, both of which are premium priced, Tesla China is still proving quite competitive in the domestic electric vehicle market.

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Tesla adds a new feature to Navigation in preparation for a new vehicle

After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.

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Credit: Uber

Tesla has added a new feature to its Navigation and Supercharger Map in preparation for a new vehicle to hit the road: the Semi.

After CEO Elon Musk announced earlier this week that the Semi’s mass production processes were scheduled for later this year, the company has been making various preparations as it nears manufacturing.

Elon Musk confirms Tesla Semi will enter high-volume production this year

One of those changes has been the newly-released information regarding trim levels, as well as reports that Tesla has started to reach out to customers regarding pricing information for those trims.

Now, Tesla has made an additional bit of information available to the public in the form of locations of Megachargers, the infrastructure that will be responsible for charging the Semi and other all-electric Class 8 vehicles that hit the road.

Tesla made the announcement on the social media platform X:

Although it is a minor development, it is a major indication that Tesla is preparing for the Semi to head toward mass production, something the company has been hinting at for several years.

Nevertheless, this, along with the other information that was released this week, points toward a significant stride in Tesla’s progress in the Semi project.

Now that the company has also worked toward completion of the dedicated manufacturing plant in Sparks, Nevada, there are more signs than ever that the vehicle is finally ready to be built and delivered to customers outside of the pilot program that has been in operation for several years.

For now, the Megachargers are going to be situated on the West Coast, with a heavy emphasis on routes like I-5 and I-10. This strategy prioritizes major highways and logistics hubs where freight traffic is heaviest, ensuring coverage for both cross-country and regional hauls.

California and Texas are slated to have the most initially, with 17 and 19 sites, respectively. As the program continues to grow, Florida, Georgia, Illinois, Washington, New York, and Nevada will have Megacharger locations as well.

For now, the Megachargers are available in Lathrop, California, and Sparks, Nevada, both of which have ties to Tesla. The former is the location of the Megafactory, and Sparks is where both the Tesla Gigafactory and Semifactory are located.

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Tesla stock gets latest synopsis from Jim Cramer: ‘It’s actually a robotics company’

“Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session,” Cramer said.

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Credit: Tesla Optimus/X

Tesla stock (NASDAQ: TSLA) got its latest synopsis from Wall Street analyst Jim Cramer, who finally realized something that many fans of the company have known all along: it’s not a car company. Instead, it’s a robotics company.

In a recent note that was released after Tesla reported Earnings in late January, Cramer seemed to recognize that the underwhelming financials and overall performance of the automotive division were not representative of the current state of affairs.

Instead, we’re seeing a company transition itself away from its early identity, essentially evolving like a caterpillar into a butterfly.

The narrative of the Earnings Call was simple: We’re not a car company, at least not from a birds-eye view. We’re an AI and Robotics company, and we are transitioning to this quicker than most people realize.

Tesla stock gets another analysis from Jim Cramer, and investors will like it

Tesla’s Q4 Earnings Call featured plenty of analysis from CEO Elon Musk and others, and some of the more minor details of the call were even indicative of a company that is moving toward AI instead of its cars. For example, the Model S and Model X will be no more after Q2, as Musk said that they serve relatively no purpose for the future.

Instead, Tesla is shifting its focus to the vehicles catered for autonomy and its Robotaxi and self-driving efforts.

Cramer recognizes this:

“…we got results from Tesla, which actually beat numbers, but nobody cares about the numbers here, as electric vehicles are the past. And according to CEO Elon Musk, the future of this company comes down to Cybercabs and humanoid robots. Stock fell more than 3% the next day. That may be because their capital expenditures budget was higher than expected, or maybe people wanted more details from the new businesses. At this point, I think Musk acolytes might be more excited about SpaceX, which is planning to come public later this year.”

He continued, highlighting the company’s true transition away from vehicles to its Cybercab, Optimus, and AI ambitions:

“I know it’s hard to believe how quickly this market can change its attitude. Last night, I heard a disastrous car company speak. Turns out it’s actually a robotics and Cybercab company, and I want to buy, buy, buy. Yes, Tesla’s the paper that turned into scissors in one session. I didn’t like it as a car company. Boy, I love it as a Cybercab and humanoid robot juggernaut. Call me a buyer and give me five robots while I’m at it.”

Cramer’s narrative seems to fit that of the most bullish Tesla investors. Anyone who is labeled a “permabull” has been echoing a similar sentiment over the past several years: Tesla is not a car company any longer.

Instead, the true focus is on the future and the potential that AI and Robotics bring to the company. It is truly difficult to put Tesla shares in the same group as companies like Ford, General Motors, and others.

Tesla shares are down less than half a percent at the time of publishing, trading at $423.69.

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