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Tesla Autopilot and artificial intelligence: The unfair advantage
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.
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 Sweden faces fresh union blockade at key Gothenburg paint shop
Allround Lack works with painting and damage repair of passenger cars, including Teslas.
Tesla’s ongoing labor conflict in Sweden escalated again as the trade union IF Metall issued a new blockade halting all Tesla paintwork at Allround Lack in Gothenburg.
Allround Lack works with painting and damage repair of passenger cars, including Teslas. It currently employs about 20 employees.
Yet another blockade against Tesla Sweden
IF Metall’s latest notice ordered a full work stoppage for all Tesla-related activity at Allround Lack. With the blockade in place, paint jobs on Tesla-owned vehicles, factory-warranty repairs, and transport-damage fixes, will be effectively frozen, as noted in a report from Dagens Arbete. While Allround Lack is a small paint shop, its work with Tesla means that the blockade would add challenges to the company’s operations in Sweden, at least to some degree.
Paint shop blockades have been a recurring tool in the longstanding conflict. The first appeared in late 2023, when repair shops were barred from servicing Tesla vehicles. Days later, the Painters’ Union implemented a nationwide halt on Tesla paint work across more than 100 shops. Since then, a steady stream of workshops has been pulled into the conflict.
Earlier blockades faced backlash from consumers
The sweeping effects of the early blockades drew criticism from industry groups and consumers. Employers and industry organization Transportföretagen stated that the strikes harmed numerous workshops across Sweden, with about 10 of its members losing about 50% of their revenue.
Private owners also expressed their objections. Tibor Blomhäll, chairman of Tesla Club Sweden, told DA in a previous statement that the blockades from IF Metall gave the impression that the union was specifically attacking consumers. “If I get parking damage to my car, I pay for the paint myself. The company Tesla is not involved in that deal at all. So many people felt singled out, almost stigmatized. What have I done as a private individual to get a union against me?” Blomhäll stated.
In response to these complaints, IF Metall introduced exemptions, allowing severely damaged vehicles to be repaired. The union later reopened access for private owners at workshops with collective agreements. The blockades at the workshops were also reformulated to only apply to work that is “ordered by Tesla on Tesla’s own cars, as well as work covered by factory warranties and transport damage on Tesla cars.”
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Tesla breaks Norway’s all-time annual sales record with one month to spare
With November alone delivering 4,260 new registrations, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Tesla shattered Norway’s decade-old annual sales record this month, overtaking Volkswagen’s long-standing milestone with over one month still left in the year. Backed by surging demand ahead of Norway’s upcoming VAT changes, Tesla has already registered 26,666 vehicles year-to-date, surpassing Volkswagen’s 2016 record of 26,572 units.
With November alone delivering 4,260 new registrations month-to-date, Tesla has cemented its most dominant year ever in one of Europe’s most mature EV markets.
Model Y drives historic surge in Norway
Tesla’s impressive momentum has been led overwhelmingly by the Model Y, which accounted for 21,517 of Norway’s registrations this year, as noted in a CarUp report, citing data from Elbil Statistik. The Model 3 followed with 5,087 units, while the Model S and Model X contributed 30 and 19 vehicles, respectively. Even the parallel-imported Cybertruck made the charts with 13 registrations.
Demand intensified sharply through autumn as Norwegian buyers rushed to secure deliveries before the country’s VAT changes take effect in January. The new regulation is expected to add roughly NOK 50,000 to the price of a Model Y, prompting a wave of early purchases that helped lift Tesla beyond the previous all-time record well before year-end.
With December still ahead, Tesla is positioned to extend its historic lead further. Needless to say, it appears that Norway will prove to be one of Tesla’s strongest markets in Europe.
FSD could be a notable demand driver in 2026
What’s especially interesting about Tesla’s feat in Norway is that the company’s biggest selling point today, Full Self-Driving (Supervised), is not yet available there. Tesla, however, recently noted in a post on X that the Dutch regulator RDW has reportedly committed to issuing a Netherlands national approval for FSD (Supervised) in February 2026.
The RDW posted a response to Tesla’s post, clarifying the February 2026 target but stating that FSD’s approval is not assured yet. “The RDW has drawn up a schedule with Tesla in which Tesla is expected to be able to demonstrate that FSD Supervised meets the requirements in February 2026. RDW and Tesla know what efforts need to be made to make a decision on this in February. Whether the schedule will be met remains to be seen in the coming period,” the RDW wrote in a post on its official wesbite.
If FSD (Supervised) does get approved next year, Tesla’s vehicles could gain a notable advantage over competitors, as they would be the only vehicles on the market capable of driving themselves on both inner-city streets and highways with practically no driver input.
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Tesla Full Self-Driving v14.2’s best new feature is not what you think
Tesla Full Self-Driving v14.2 rolled out late last week to Early Access Program (EAP) members, but its best feature is not what you think.
While Tesla has done a great job of refining the performance of the Full Self-Driving suite with the latest update, there are some other interesting additions, including one that many owners have requested for some time.
Upon the release of v14.2, many owners recognized the Blue Dot next to the Autopilot tab in Vehicle Settings, notifying them of a new feature. What was included as a new feature in the new update was a Full Self-Driving stats feature, which now will show you how many miles you’ve traveled in total, and how many of those miles were driven using FSD:
🚨 The coolest non-driving change of Tesla Full Self-Driving v14.2 pic.twitter.com/HOJcFaV2Ny
— TESLARATI (@Teslarati) November 21, 2025
The feature seems to be more of a bragging rights thing than anything, but it will also give drivers a good idea of how many miles they are using Full Self-Driving for. Those who use telematics-based insurance services will also be able to run experiments of their own, and could determine whether their premiums are impacted by the use of Full Self-Driving, and whether it is more advantageous to use over manual driving.
Tesla rolled out numerous other improvements with Tesla Full Self-Driving v14.2, most notably, the company seems to have resolved previous complaints about brake stabbing and hesitation. This was a major complaint in v14.1, but Tesla has seemed to resolve it with this newest branch of the FSD suite.
There were also improvements in overall operation, and it was notably smoother than past versions. Speed Profiles are seemingly refined as well, as they seem much more fixed on how fast they will travel and how aggressive they will be with things like passing cars on freeways and lane changes.
In future updates, Tesla plans to add Parking Spot selection, along with overall operational improvements. However, CEO Elon Musk recently said that the next branch, Full Self-Driving v14.3, will be where the “final piece of the puzzle is placed.” Tesla believes it is close to solving autonomy, so v14.3 could be a major jump forward, but it remains to be seen.

