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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.
Elon Musk
SpaceX’s Anthropic deal has a catch, and Elon Musk just addressed it
Elon Musk says SpaceX’s Anthropic compute deal cuts both ways after Chamath floats higher prices.
Elon Musk pushed back on Sunday against the idea that SpaceX’s compute contract with Anthropic is a one way bet, after venture capitalist Chamath Palihapitiya argued the company could use a termination clause to charge the AI lab far more.
“It works both ways, of course. If compute becomes plentiful and cheap, SpaceX revenue will drop. No crying in the casino for either party,” Musk wrote on X Sunday evening, replying to a clip of Palihapitiya’s comments shared by AI commentator Rohan Paul.
On the All-In podcast released Sunday, Palihapitiya said either side can walk away from the agreement on 90 days’ notice. If data center supply tightens, he argued, SpaceX could exercise that option and bring the contract back at two to three times the current price, and Anthropic would have little choice but to accept. He called it “the kingmaking move,” according to BigGo Finance.
The clause itself is not new. SpaceX disclosed in its IPO filings in May that Anthropic would pay $1.25 billion per month for dedicated capacity at its Colossus clusters through May 2029, nearly $45 billion in total, with both companies able to terminate on 90 days’ notice, as Teslarati reported at the time. SpaceX’s later compute deals with Google and Reflection AI carry similar exit terms.
What has changed is the political backdrop. Palihapitiya’s thesis rests on incoming Democratic governors pulling tax incentives for data centers and slowing new construction. In Texas, Gov.-elect Gina Hinojosa campaigned on a moratorium on new data center approvals, and Deutsche Bank analysts warned last week that SpaceX’s Texas compute capacity could face delays. SpaceX and Tesla shares both fell after the midterm results.
A slowdown would favor companies that already own capacity. SpaceX acquired xAI in February and has been renting data centers to outside AI labs before the space is needed for Grok. At the Baron Investment Conference on Friday, Musk said SpaceX was “getting 50 billion a year for 35 billion dollar investments” and that it can bring a data center online in eight or nine months, compared to two and a half years for competitors. He also said SpaceX is tracking toward an annualized revenue rate above $100 billion in December, with a “best guess” of $500 billion by December 2027.
Musk’s reply points to the other side of the clause. Anthropic has signed large compute agreements with Amazon, Google and Microsoft, and if that capacity comes online faster than new construction slows, the AI lab would have its own leverage to renegotiate or leave. Musk has called Anthropic “obviously currently the leader in AI,” and it remains one of SpaceX’s largest compute customers.
SpaceX shares rose more than 2 percent in overnight trading late Sunday after closing Friday at $134.27, according to Stocktwits.
Elon Musk
Elon Musk spotlights the Starlink rescue that got through where no cell tower could
Elon Musk spotlighted how Starlink helped rescuers reach five people stranded in Kazakhstan’s snowy mountains.
Elon Musk put a spotlight on a mountain rescue in eastern Kazakhstan on Sunday, writing “Starlink saves lives” in response to a post describing how SpaceX’s satellite internet helped five stranded people reach emergency crews.
The post from DogeDesigner, which had been viewed more than 500,000 times by Sunday afternoon, said the group’s SUV broke down about 15 kilometers from the village of Kystau Kurchum in an area with no usable mobile network. Starlink carried their call for help and kept them in contact with rescuers, who used the connection to locate them.
The rescue itself took place in October. Local outlet YK.kz reported on October 22 that Kazakhstan’s Ministry of Emergency Situations responded to the breakdown in the Kurchum district of East Kazakhstan region and noted that the group stayed in touch through Starlink. Rescuers covered roughly 100 kilometers in a Trekol, a low pressure tire vehicle built for snow and marshland, then escorted the disabled SUV back to Kystau Kurchum. Nobody needed medical attention.
Starlink saves lives
— Elon Musk (@elonmusk) November 8, 2026
Conditions in the region were rough at the time. Kazakh broadcaster Channel 7 identified the five as hunters caught in a snow trap and said satellite communication allowed rescuers to pinpoint where they were. A spokesperson for the East Kazakhstan emergency department said a storm warning was in effect and urged residents not to leave populated areas unless necessary. The same weather stranded seven utility workers repairing power lines in the nearby Kuygan rural district, according to Tengrinews.
Kazakhstan has been one of Starlink’s more notable markets in Central Asia. Teslarati reported in 2024 that Starlink was serving 1,731 of the country’s 1,879 schools, with the country’s Education Minister saying it had set a new standard for internet service in schools.
Rescue stories like this one have followed Starlink for years, usually in places where ground networks fail or never existed in the first place. Then Florida CFO Jimmy Patronis called Starlink a “game changer” for search and rescue crews during Hurricane Milton, and SpaceX and T-Mobile switched on Starlink Direct to Cell in North Carolina to push emergency alerts to phones after Hurricane Helene.
The next target is dead zones for people who do not carry a dish at all. SpaceX is building out Starlink Mobile and earlier this week selected Qualcomm to supply core infrastructure for a planned terrestrial 5G network in the United States, which it intends to pair with its next generation satellite constellation.
Sunday’s post is at least the third time Musk has written “Starlink saves lives” on X this week, following identical posts on November 5 and November 7.
SpaceX plans to attempt what will be a defining moment in rocket reusability on Starship Flight 15.
As Elon Musk announced in a recent X post, SpaceX will attempt to catch both the Super Heavy Booster and the Starship upper stage during the upcoming orbital flight. If successful, it will mark the first time that all parts of an orbital rocket return to Earth intact, a breakthrough Musk has called essential to making life multiplanetary.
SpaceX will attempt to catch both the Super Heavy booster and Starship on the upcoming flight.
If both are successful, it will mark the first time that all parts of an orbital rocket return to Earth intact.
This is the critical breakthrough needed to make life multiplanetary.
— Elon Musk (@elonmusk) November 6, 2026
Previous flights have demonstrated the tower-catch technique with Super Heavy. SpaceX has successfully caught V1 boosters three times (on Flights 5, 7, and 8), with some even reflown. The Ship upper stage has never been caught.
Returning from orbital velocity after deploying payload makes it a significantly harder challenge due to higher energy, heat loads, and the need for precise belly-flop reentry, a flip maneuver, and a final landing burn to settle between the Mechazilla tower’s chopstick arms.
Flight 15, using Booster 22 and Ship 42 (both Block 3 vehicles), is targeted for no earlier than Friday, November 13, 2026, from Orbital Launch Pad 2 at Starbase, Texas. The 75-minute window opens at 4:45 p.m. CT, pending regulatory approval. After hot staging and separation, the booster is planned to return for a catch roughly 6 minutes and 35 seconds after liftoff.
The Ship will insert into a roughly 275 km orbit, deploy 26 advanced Starlink V3 satellites, complete about 14 orbits over more than 22 hours, and—if systems check out—perform a deorbit burn, reentry, flip, and landing burn for a tower catch at approximately T+22 hours 32 minutes.
SpaceX confirms Starship 15 launch window with massive ambitions
A simulation shown during SpaceX’s October earnings call depicted the Ship descending in a belly-flop attitude, flipping upright with a short engine burn, and being captured by the arms:
From simulation to reality
SpaceX is just ONE WEEK away from attempting its most ambitious Starship catch yet https://t.co/nHrxSX6DSz
— X Freeze (@XFreeze) November 6, 2026
Contingency splashdown zones exist in the Gulf of Mexico (booster) and Pacific (Ship) if a catch is not viable. SpaceX has stressed rigorous health checks before committing the Ship to a return-to-launch-site trajectory.
Musk has described the odds of success on this first dual-catch attempt as “more likely than not,” noting a steady stream of additional flights is already scheduled if needed. Full recovery would enable rapid inspection, refurbishment, and reflight—slashing costs and supporting the high launch cadence required for Starlink expansion, lunar missions, and eventual Mars settlement.
As Musk put it, this is “the critical breakthrough needed to make life multiplanetary.”
SpaceX’s Anthropic deal has a catch, and Elon Musk just addressed it
Elon Musk spotlights the Starlink rescue that got through where no cell tower could
