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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 gathers 93,000 FSD miles in a country where FSD isn’t approved – here’s how
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
Tesla has gathered 93,000 Full Self-Driving miles in a country where Full Self-Driving is not even approved. Here’s how.
Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.
The milestone, revealed alongside news that Giga Berlin has now built 750,000 Model Y vehicles, highlights how Tesla is putting its AI to work in one of the most controlled environments imaginable: it’s own factory floor.
Every Model Y that rolls off the final assembly line at Giga Berlin doesn’t need a human driver to reach the outbound lot. Instead, the freshly built vehicles engage FSD and navigate themselves across the factory campus.
The Tesla Model Ys rolling off the production line at Giga Berlin have now driven themselves on FSD a combined 93,000 miles from the end of the production line to the outbound lot. https://t.co/6RhL3W4q4p pic.twitter.com/DOKKHUcSSL
— Sawyer Merritt (@SawyerMerritt) May 11, 2026
The route—from the end of the production line through marked internal pathways to the staging area where cars await delivery or export—is entirely on private property. No public roads, no mixed traffic, and no regulatory hurdles for on-road autonomous operation.
It’s a closed-loop system: wide lanes, predictable layouts, minimal pedestrians, and consistent conditions that make it one of the simplest proving grounds for the software.
A short factory tour video shared by Tesla Manufacturing shows General Assembly team member Jan explaining the process. Gesturing beside a glossy black Model Y still wearing its protective wrap, he notes the cumulative distance the fleet has covered autonomously.
Tesla Giga Berlin seems to be using FSD Unsupervised to move Model Y units
The cars handle the short drive flawlessly, freeing up workers who would otherwise spend hours shuttling vehicles manually. For a high-volume plant like Giga Berlin, the time and labor savings add up quickly. Even small gains in cycle time per car can reclaim valuable space in the outbound lot and streamline logistics.
This internal deployment serves multiple purposes. First, it delivers zero-cost validation data. Each factory run exposes FSD to real-world physics—acceleration, steering precision, obstacle avoidance—in a repeatable setting far safer than public testing.
Second, it demonstrates the system’s readiness at scale. If FSD can reliably move thousands of brand-new cars without intervention inside a busy factory, it underscores the robustness of the vision-based, end-to-end neural network Tesla has been refining.
Critics often point to Europe’s cautious regulatory stance on unsupervised autonomy, yet Tesla has turned that limitation into an advantage. While owners in Germany still cannot activate consumer FSD on highways or city streets, the software is already proving its worth behind the factory gates.
The 93,000 miles represent not just internal efficiency gains but a subtle flex: the cars are manufactured ready to navigate autonomously, at least in the bounds of the factory. It’s a big feather in the cap of FSD, even if regulators have yet to green-light broader use.
As Giga Berlin continues ramping output, expect this autonomous logistics loop to grow. What began as a practical workaround for moving finished vehicles has quietly become one of the most compelling real-world showcases of FSD’s potential—right in the heart of regulated Europe. Tesla isn’t waiting for approval to perfect its autonomy; it’s already driving the future, one factory mile at a time.
Elon Musk
Elon Musk reveals how SpaceX is always on board Air Force One
Musk confirmed Tuesday that Starlink internet is live and kicking on Air Force One. Responding with a simple “Yup!” to a post showing him and Nvidia CEO Jensen Huang aboard the presidential jet en route to Beijing with President Trump, Musk proved the point: America’s most important aircraft now has seamless, high-speed satellite connectivity—even over the middle of the Pacific.
Air Force One, the official call sign for a U.S. Air Force aircraft carrying the President, now runs on SpaceX Starlink, CEO Elon Musk revealed.
Musk confirmed Tuesday that Starlink internet is live and kicking on Air Force One. Responding with a simple “Yup!” to a post showing him and Nvidia CEO Jensen Huang aboard the presidential jet en route to Beijing with President Trump, Musk proved the point: America’s most important aircraft now has seamless, high-speed satellite connectivity—even over the middle of the Pacific.
Yup!
— Elon Musk (@elonmusk) May 13, 2026
The timing couldn’t be more symbolic. With trillion-dollar CEOs and the President sharing the cabin, Starlink wasn’t just a nice-to-have—it was mission-critical. No more spotty signals or dropped calls. Instead, real-time video conferences, secure data transfers, and global coordination at Mach speed.
Starlink’s aviation push has already transformed commercial and private flying. Dozens of major airlines have signed on or begun rollouts.
Hawaiian Airlines, United Airlines, Qatar Airways, Air France, SAS, WestJet, airBaltic, and Emirates (now equipping its Boeing 777 and A380 fleets) offer Starlink Wi-Fi to passengers. Lufthansa plans to follow in late 2026.
On private jets, the upgrade is even hotter: owners and charter companies report skyrocketing demand because Starlink turns cabins into flying boardrooms.
Starlink gets its latest airline adoptee for stable and reliable internet access
The advantages are massive. Traditional in-flight Wi-Fi relied on slow, high-latency geostationary satellites or ground-based systems that cut out over oceans and remote areas. Starlink’s low-Earth-orbit constellation delivers blazing speeds—often exceeding 200 Mbps download with latency as low as 25-60 milliseconds—gate-to-gate, from takeoff to landing.
Passengers stream 4K video, join Zoom calls, or work in the cloud without buffering. Pilots get real-time weather, NOTAM updates, and live ATC data. Even private-jet travelers get the benefits, as it means productivity that rivals the office.
On Air Force One, those benefits become strategic superpowers. The presidential aircraft demands unbreakable communications for national security, diplomacy, and crisis response. Starlink provides global coverage with no dead zones, offering redundancy against traditional systems that could fail in contested airspace or during long-haul flights.
It enables the President and staff to maintain secure links with the Pentagon, allies, or business leaders anywhere on Earth. During the Beijing trip, it likely facilitated direct coordination on trade, tech, and AI—proving the system’s reliability for the highest-stakes missions.
Critics once dismissed Starlink as a rich-person toy or military experiment. Now, it’s the backbone of commercial fleets, private aviation, and the world’s most visible symbol of American power, and it is providing stable internet to travelers.
With over 2,000 commercial aircraft committed and private-jet installations booming, Starlink is rewriting the rules of connected flight, and it seems like each week, a new airline is choosing to use it for on-flight connectivity.
For Air Force One, it’s more than faster Wi-Fi. It’s uninterrupted command-and-control in an increasingly connected world—ensuring the President never has to go dark at altitude. Elon Musk just made sure of it.
Elon Musk
SpaceX unveils sweeping Starship V3 upgrades ahead of May 19 launch
SpaceX has released a detailed list of changes for Starship Version 3, the next iteration of its fully reusable super-heavy-lift vehicle. Scheduled for its maiden flight as early as May 19 from Starbase in Texas, Starship V3 incorporates dozens of redesigns across the Super Heavy booster, Starship upper stage, Raptor 3 engines, and Launch Pad 2.
SpaceX has unveiled sweeping upgrades to its Starship v3 rocket ahead of the upcoming May 19 launch.
SpaceX has released a detailed list of changes for Starship Version 3, the next iteration of its fully reusable super-heavy-lift vehicle. Scheduled for its maiden flight as early as May 19 from Starbase in Texas, Starship V3 incorporates dozens of redesigns across the Super Heavy booster, Starship upper stage, Raptor 3 engines, and Launch Pad 2.
Elon Musk reveals date of SpaceX Starship v3’s maiden voyage
The updates focus on simplification, mass reduction, reliability, and enabling core capabilities like rapid reusability, in-orbit refueling, Starlink deployment, and crewed missions to the Moon and Mars.
Collectively, these modifications mark a major step-change. By reducing dry mass, improving thermal protection, and integrating systems for orbital operations, Starship V3 aims to transition from test vehicle to operational infrastructure.
Here is an explicit, broken-down list of the key changes, first starting with the changes to Super Heavy V3:
- Grid Fin Redesign: Reduced from four fins to three. Each fin is now 50% larger and stronger, repositioned for better catching and lifting performance. Fins are lowered on the booster to reduce heat exposure during hot staging, with hardware moved inside the fuel tank for protection.
- Integrated Hot Staging: Eliminates the old disposable interstage shield. The booster dome is now directly exposed to upper-stage engine ignition, protected by tank pressure and steel shielding. Interstage actuators retract after separation.
- New Fuel Transfer System: Massive redesign of the fuel transfer tube—roughly the size of a Falcon 9 first stage—enables simultaneous startup of all 33 Raptors for faster, more reliable flip maneuvers.
- Engine Bay / Thermal Protection: Engine shrouds removed entirely; new shielding added between engines. Propulsion and avionics are more tightly integrated. CO₂ fire suppression system deleted for a simpler, lighter aft section.
- Propellant Loading Improvements: Switched from one quick disconnect to two separate systems for added redundancy and reduced pad complexity.
Next, we have the changes to Starship V3:
- Completely Redesigned Propulsion System: Clean-sheet redesign supports new Raptor startup, larger propellant volume, and an improved reaction control system while reducing trapped or leaked propellant risk.
- Aft Section Simplification: Fluid and electrical systems rerouted; engine shrouds and large aft cavity deleted.
- Flap Actuation Upgrade: Changed from two actuators per flap to one actuator with three motors for better redundancy, mass efficiency, and lower cost.
- Faster Starlink Deployment: Upgraded PEZ dispenser enables quicker satellite release.
- Long-Duration Spaceflight Capability: New systems for long orbital coasts, orbital refueling, cryogenic fluid management, vacuum-insulated header tanks, and high-voltage cryogenic recirculation.
- Ship-to-Ship Docking + Refueling: Four docking drogues and dedicated propellant transfer connections added to support in-space refueling architecture.
- Avionics Upgrades: 60 custom avionics units with integrated batteries, inverters, and high-voltage systems (9 MW peak power). New multi-sensor navigation for precision autonomous flight. RF sensors measure propellant in microgravity. ~50 onboard camera views and 480 Mbps Starlink connectivity for low-latency communications.
Next are the changes to the Raptor 3 Engine:
- Higher Thrust: Sea-level Raptors increased from 230 tf (507k lbf) to 250 tf (551k lbf); vacuum Raptors from 258 tf (568k lbf) to 275 tf (606k lbf).
- Lower Mass: Sea-level engine mass reduced from 1630 kg to 1525 kg.
- Simpler Design: Sensors and controllers integrated into the engine body; shrouds eliminated; new ignition system for all variants. Results in ~1 ton of vehicle-level weight savings per engine.
Finally, the upgrades to Launch Pad 2 are as follows:
- Faster propellant loading via larger farm and more pumps.
- Chopstick improvements: shorter arms, electromechanical actuators (replacing hydraulic) for reliability.
- Stronger quick-disconnect arm that swings farther away.
- Redesigned launch mount for better load handling and protection.
- New bidirectional flame diverter eliminates post-launch ablation and refurbishment.
- Hardened propellant systems with separated methane/oxygen lines and protected valves/filters.
SpaceX states these elements “are designed to enable a step-change in Starship capabilities and aim to unlock the vehicle’s core functions, including full and rapid reuse, in-space propellant transfer, deployment of Starlink satellites and orbital data centers, and the ability to send people and cargo to the Moon and Mars.”
With these upgrades, Starship V3 is poised for an epic test flight that could accelerate humanity’s multiplanetary future. The rapid pace of iteration underscores SpaceX’s relentless drive toward making life multiplanetary. Launch watchers are in for a spectacular show.
Tesla gathers 93,000 FSD miles in a country where FSD isn’t approved – here’s how
Elon Musk reveals how SpaceX is always on board Air Force One
