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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.
News
Tesla teases new market entrance with confusing and cryptic message
Tesla teased its entrance into a new market with a confusing and what appeared to be cryptic message on the social media platform X.
The company has been teasing its entrance into several markets, including Africa, which would be a first, and South America, where it only operates in Chile.
In September, Tesla started creating active job postings for the Colombian market, hinting it would expand its presence in South America and launch in a new country for the first time in two years.
The jobs were related to various roles, including Associate Sales Manager, Advisors in Sales and Delivery, and Service Technicians. These are all roles that would indicate Tesla is planning to launch a wide-scale effort to sell, manage, and repair vehicles in the market.
Last night, Tesla posted its latest hint, a cryptic video that seems to show the outline of Colombia, teasing its closer than ever to market entry:
— Tesla North America (@tesla_na) November 12, 2025
This would be the next expansion into a continent where it does not have much of a presence for Tesla. Currently, there are only two Supercharger locations on the entire continent, and they’re both in Chile.
Tesla will obviously need to expand upon this crucial part of the ownership experience to enable a more confident consumer base in South America as a whole. However, it is not impossible, as many other EV charging infrastructures are available, and home charging is always a suitable option for those who have access to it.
Surprisingly, Tesla seems to be more concerned about these middle-market countries as opposed to the larger markets in South America, but that could be by design.
If Tesla were to launch in Brazil initially, it may not be able to handle the uptick in demand, and infrastructure expansion could be more difficult. Brazil may be on its list in the upcoming years, but not as of right now.
@teslarati 🚨🚨 Tesla Full Self-Driving and Yap is the best driving experience #tesla #fsd #yapping ♬ I Run – HAVEN.
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Tesla expands crucial Supercharging feature for easier access
It is a useful tool, especially during hours of congestion. However, it has not been super effective for those who drive non-Tesla EVs, as other OEMs use UI platforms like Google’s Android Auto or Apple’s iOS.
Tesla has expanded a crucial Supercharging feature that helps owners identify stall availability at nearby locations.
Tesla said on Tuesday night that its “Live Availability” feature, which shows EV owners how many stalls are available at a Supercharger station, to Google Maps, a third-party app:
Live availability of Superchargers now in Google Maps pic.twitter.com/DJvS83wVxm
— Tesla Charging (@TeslaCharging) November 11, 2025
Already offering it in its own vehicles, the Live Availability feature that Teslas have is a helpful feature that helps you choose an appropriate station with plugs that are immediately available.
A number on an icon where the Supercharger is located lets EV drivers know how many stalls are available.
It is a useful tool, especially during hours of congestion. However, it has not been super effective for those who drive non-Tesla EVs, as other OEMs use UI platforms like Google’s Android Auto or Apple’s iOS.
Essentially, when those drivers needed to charge at a Supercharger that enables non-Tesla EVs to plug in, there was a bit more of a gamble. There was no guarantee that a plug would be available, and with no way to see how many are open, it was a risk.
Tesla adding this feature allows people to have a more convenient and easier-to-use experience if they are in a non-Tesla EV. With the already expansive Supercharger Network being available to so many EV owners, there is more congestion than ever.
This new feature makes the entire experience better for all owners, especially as there is more transparency regarding the availability of plugs at Supercharger stalls.
It will be interesting to see if Tesla is able to expand on this new move, as Apple Maps compatibility is an obvious goal of the company’s in the future, we could imagine. In fact, this is one of the first times an Android Auto feature is available to those owners before it became an option for iOS users.
Apple owners tend to get priority with new features within the Tesla App itself.
Elon Musk
Elon Musk’s Boring Co goes extra hard in Nashville with first rock-crushing TBM
The Boring Company’s machine for the project is now in final testing.
The Boring Company is gearing up to tackle one of its toughest projects yet, a new tunnel system beneath Nashville’s notoriously tough limestone terrain. Unlike the soft-soil conditions of Las Vegas and Austin, the Music City Loop will require a “hard-rock” boring machine capable of drilling through dense, erosion-resistant bedrock.
The Boring Company’s machine for the project is now in final testing.
A boring hard-rock tunneling machine
The Boring Company revealed on X that its new hard-rock TBM can generate up to 4 million pounds of grip force and 1.5 million pounds of maximum thrust load. It also features a 15-filter dust removal system designed to keep operations clean and efficient during excavation even in places where hard rock is present.
Previous Boring Co. projects, including its Loop tunnels in Las Vegas, Austin, and Bastrop, were dug primarily through soft soils. Nashville’s geology, however, poses a different challenge. Boring Company CEO and President Steve Davis mentioned this challenge during the project’s announcement in late July.
“It’s a tough place to tunnel, Nashville. If we were optimizing for the easiest places to tunnel, it would not be here. You have extremely hard rock, like way harder than it should be. It’s an engineering problem that’s fairly easy and straightforward to solve,” Davis said.
Nashville’s limestone terrain
Experts have stated that the city’s subsurface conditions make it one of the more complex tunneling environments in the U.S. The Outer Nashville Basin is composed of cherty Mississippian-age limestone, a strong yet soluble rock that can dissolve over time, creating underground voids and caves, as noted in a report from The Tennessean.
Jakob Walter, the founder and principal engineer of Haushepherd, shared his thoughts on these challenges. “Limestone is generally a stable sedimentary bedrock material with strength parameters that are favorable for tunneling. Limestone is however fairly soluble when compared to other rack materials, and can dissolve over long periods of time when exposed to water.
“Unexpected encounters with these features while tunneling can result in significant construction delays and potential instability of the excavation. In urban locations, structures at the ground surface should also be constantly monitored with robotic total stations or similar surveying equipment to identify any early signs of movement or distress,” he said.
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