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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.

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.

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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

MKBHD just ordered the Tesla Cybercab with his hair on the line

MKBHD ordered a Tesla Cybercab, two years after betting his hair Tesla couldn’t sell one.

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Rendering of Marques Brownlee (MKBHD) stands in the parking lot of Kearny Point (his New Jersey studio headquarters), looking at a gold Tesla Cybercab.

Marques Brownlee spent two years betting his hair that Tesla would never sell a Cybercab to regular buyers for under $30,000 before 2027. On Friday, he posted on X that he had been invited to buy one. “Alright chat I’m in,” the YouTuber known as MKBHD wrote, before sharing a screenshot that read “Your Cybercab Order is Confirmed.”

The bet dates back to Tesla’s We, Robot event in October 2024, when Elon Musk unveiled the two seat Cybercab and said customers would be able to buy one for less than $30,000, with production starting “before 2027.” Days later, in a video titled “The Tesla Robotaxi is Confusing,” Brownlee called the timeline “notorious Elon stuff” and said that if Tesla pulled it off, he would “shave my head on camera because I’m that confident.”

Musk accepted the challenge in February, when the first production Cybercab rolled off the Giga Texas line. Asked on X whether Tesla would sell a Cybercab to a customer for $30,000 or less before 2027, he answered “Yes,” and added “Gonna happen,” as Teslarati reported at the time. Brownlee narrowed the terms in a September video, saying the bet was that a “golden robotaxi with two seats and no driver and no steering wheel and no pedals” would not ship “to regular people like you and me for $30,000 before the end of this year.”

Tesla’s invite only order page now lists the Cybercab at $29,990, ten dollars under that line, with estimated deliveries in December. Buyers put down a $1,000 non-refundable deposit, must take delivery in Austin, Dallas, Fort Worth, Houston or San Antonio, and are limited to one vehicle each. A $299 per month Autonomy Subscription is required for the car to operate.

Brownlee is not conceding. “My hair is safe for several reasons,” he wrote, pointing out that no Cybercabs have been delivered and that orders are invite only rather than publicly available. He also noted that the car is limited to personal use inside Tesla’s existing Robotaxi geofences, calling it “a paperweight if I take this thing home,” though he acknowledged that point was never part of the bet. He then asked Grok to set a timer for 48 days, which lands on December 31.

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Musk responded directly. Replying to Brownlee’s breakdown of the order page, he said the Cybercab “will be available nationwide, as we receive regulatory approval,” and agreed that “the monthly fee is too high”. He said it should match the cost of FSD and connectivity on Tesla’s other models, “more like ~$115/month.” In a separate reply about Brownlee’s hair, Musk wrote, “He’s a chicken.”

Where Brownlee’s car would go is unclear. He lives in New Jersey, far outside any Robotaxi service area, and Tesla’s agreements restrict where owners can operate the vehicle and how they can resell it, as Teslarati detailed.

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SpaceX makes history, catching Starship from orbit for the first time

SpaceX caught Starship’s upper stage with its launch tower for the first time on Saturday.

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Ship 42 fires its engines as it descends toward the Starbase launch tower’s chopstick arms, moments before SpaceX caught a Starship upper stage for the first time on Flight 15. (Credit: SpaceX)
Ship 42 fires its engines as it descends toward the Starbase launch tower’s chopstick arms, moments before SpaceX caught a Starship upper stage for the first time on Flight 15. (Credit: SpaceX)

SpaceX caught a Starship upper stage with its launch tower for the first time on Saturday, bringing Ship 42 back to Starbase after roughly 22 and a half hours in orbit on Flight 15. No company has ever returned the upper stage of an orbital rocket to its launch site and caught it.

Ship 42 lifted off Friday evening on top of Booster 22, reached orbit and deployed all 26 of its Starlink V3 satellites. Three of those satellites carried cameras to photograph the ship’s heat shield, and SpaceX said the imagery showed it was in good shape for reentry, allowing controllers to pass on a backup splashdown option overnight. By Saturday morning, SpaceX posted on X that “Pad and tower systems are go for catch.” After about 14 orbits, the ship fired its engines to leave orbit, came back through the atmosphere and was caught by the tower’s chopstick arms.

 

The catch salvages a flight that started with a setback. Super Heavy did not make it back to the tower on Friday. “We were initially go for a catch, but in the later stages of the coast, the booster aborted itself for a GNC issue that it detected and that put it into its landing offshore,” SpaceX’s Dan Huot said. The booster hovered over the Gulf of Mexico before its flight termination system triggered and it came down in the water.

Elon Musk said Saturday that the booster ran short on propellant because its engines slightly underperformed. The fix, he wrote, is better engine consistency with Raptor V3.2 and a flight software change to cut the engines “about one second earlier” so enough fuel is left for the return. “This booster loss does not change our timeline to reach high volume, fully reusable Starship flights,” Musk added.

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The ship is the harder half of that goal, and the one SpaceX had never recovered. Super Heavy has now been caught three times, most recently in March 2025, while every previous ship ended in the ocean or was lost. Falcon 9 lands its boosters routinely but throws its upper stage away on every launch. Musk described a full Starship recovery on SpaceX’s third quarter earnings call as a “profound technology milestone,” and Saturday’s catch shows the hardest piece of it can work.

That piece matters for nearly everything SpaceX is planning. Reusable ships are what make the economics of launching Starlink V3 satellites at scale work, along with the Starmind orbital compute constellation. NASA’s Artemis lunar lander also depends on refilling Starships in orbit with repeated tanker flights, which requires vehicles that can fly again quickly. Musk has said he expects Starship to reach a weekly launch cadence in the first half of 2027.

Flight 15 also improved on the last Starship mission in September, which reached orbit but ended after about three hours with a Pacific splashdown when some engines shut down. Before this flight, SpaceX had shown an animation of the ship catch during its earnings webcast, and Musk put the odds of pulling it off on the first try at “more likely than not,” as Teslarati reported.

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Tesla Cybercab ownership will come with plenty of strings attached

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Credit: Tesla

Tesla’s long-promised Cybercab is finally available for personal purchase, at least for a select few in the Austin area. But it’s far from a straightforward ownership experience.

The $29,990 price tag comes with a stack of restrictions that redefine what “owning” the vehicle actually means. The two-seat, steering-wheel-free Robotaxi, previously limited to Tesla’s own fleet, now carries contractual terms that limit where it can go, how it can be used, and whether it can even move without an active paid subscription.

Opening Night of Orders

Late on November 13, Tesla announced that select customers were being invited to order a Cybercab for personal use.

Tesla Cybercab goes on sale for $29,990, slated for December deliveries

The estimated purchase price is $29,990 before taxes, paired with a non-refundable $1,000 deposit and an estimated December 2026 delivery in Austin, Texas. The first month of the required :Autonomy Subscription,” priced at $299 per month is included.

After that, the vehicle needs an active subscription to operate at all. The announcement confirmed that customer sales had begun, albeit on an invite-only basis rather than a public order page.

The Fine Print for Buyers

For those invited to order, the agreements (Cybercab Order Agreement, Terms of Use, and Autonomy Subscription Agreement) impose significant constraints. Major points include:

  • A mandatory Autonomy Subscription (currently listed at $299 per month on the order screen, first month included) is required; without it, the Cybercab will not operate.
  • Personal, non-commercial use only; ride-hailing, Robotaxi network participation, delivery, or rental requires separate written authorization or product enablement from Tesla.
  • Operation restricted to Tesla-enabled Robotaxi geofences and supported service areas, which the company can expand, shrink, or alter; the vehicle may be technologically prevented from operating outside them.
  • No unauthorized modifications (including wraps, window tint, or wheel changes) without Tesla or an authorized provider.
  • Restricted resale and transfer: written permission required, with contractual damages of at least $50,000 (or full transaction value if higher) for unauthorized sales; Tesla also reserves repurchase rights at a company-determined fair market value, with the owner covering return costs.
  • Safety or improper-use “strikeouts” (three or more) can trigger a one-week suspension of autonomous features without prorated refund.
  • Owners remain responsible for insurance, registration, charging, parking, and general cleaning; the subscription covers certain maintenance items such as tires, windshields, filters, and camera cleaning, plus limited towing.
  • Manual controls on the touchscreen allow only short-distance movement up to about 2 mph and require a valid driver’s license; they are not for public-road driving.

Why These Terms Might Exist

Tesla’s approach prioritizes control over a vehicle designed without traditional human controls and intended primarily as transport-as-a-service, something that Musk has hinted toward for some time now. Restricting commercial use and modifications could be as much of a software integrity, safety, and data collection effort as it is a safety effort.

Fleet consistency could also be in regulatory scrutiny early on in the Cybercab’s days of public operation.

The subscription model generates ongoing revenue beyond the low vehicle price and ensures the car remains connected and updatable, something that will keep the Cybercab as safe as possible as new updates roll out.

Buyback and resale limits reduce the risk of vehicles circulating outside Tesla’s operational and service ecosystem.

It apperas that personal ownership is secondary to the broader Robotaxi network strategy, as Musk has previously stated that the vast majority of Cybercabs would remain Tesla-owned.

Pickup Locations and Musk’s Pricing View

Initial deliveries are estimated for Austin, but personal vehicles are able to operate in any of Tesla’s Robotaxi geofences:

Those who have been invited to order can also have their personal Cybercab delivered to numerous locations in Texas, including:

  • Austin
  • Dallas
  • Houston
  • San Antonio
  • Fort Worth

As far as the monthly “Autonomy Subscription,” it appears Musk already wants it to be low. He acknowledged last night on X that the subscription price is too high. Along with detailing that the Cybercab will be available nationwide as regulatory approval is received, Musk said the monthly fee should match the cost of FSD and Premium Connectivity, which is about $115 per month.

The launch marks a milestone for unsupervised personal autonomous vehicles, but the fine print makes clear that buyers are purchasing a highly constrained asset whose usefulness is tightly bound to Tesla’s software, service network, and geographic approvals.

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