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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 is using a redesigned Cybertruck battery cell to mitigate Semi challenges
It is perhaps the most recent example of Tesla using unique engineering prowess and cross-pollinating vehicle elements to solve common problems, something it does better than most companies out there.
Tesla revealed that it is utilizing redesigned Cybertruck battery cells in its Long Range Semi to mitigate some pertinent challenges that come with long-haul logistics.
It is perhaps the most recent example of Tesla using unique engineering prowess and cross-pollinating vehicle elements to solve common problems, something it does better than most companies out there.
Tesla’s long-awaited Semi truck is entering production at its Nevada Gigafactory, and fresh factory footage reveals a clever evolution in its battery technology.
The Long Range variant, designed for up to 500 miles of real-world range, relies on a structural battery pack that uses the same 4680-form-factor cells found in the Cybertruck.
However, Tesla engineers have completely redesigned the pack’s architecture—shifting from the flat, pancake-style modules typical in passenger vehicles to a compact, vertical cubic layout. This change isn’t just about cramming more energy into the chassis; it’s a targeted solution to one of electric trucking’s biggest headaches: range loss in cold climates.
Dan Priestley, Head of the Tesla Semi program, said:
“We’re using essentially the same cell out of Cybertruck, but our cars packs are more like a pancake. Whereas these are more like a cube. You get a lot of energy stored in a small space. You can only do this if you design the vehicle to be electric from the ground up.”
Here, in all its glory, is the exclusive first look at the massive @Tesla Semi factory.
Our @corememory crew went to Nevada to see the line come to life, as it gets ready to pump out thousands of all-electric trucks. We saw the new cab and went on a drive too. Wunderbar! pic.twitter.com/a0S5zVEr87
— Ashlee Vance (@ashleevance) April 10, 2026
In conventional EVs, battery packs are laid out horizontally in wide, flat arrays to fit under the floor. While this works for cars and even the Cybertruck’s structural pack, it exposes a large surface area to the elements.
Heat escapes quickly, especially overnight when the truck is parked. Cold temperatures slow chemical reactions inside lithium-ion cells, reducing available energy and forcing the vehicle to expend extra power warming the battery and cabin.
Real-world tests on vehicles like the Cybertruck show winter range losses of 20-40 percent, depending on conditions. For long-haul truck drivers operating in Canada, Scandinavia, or the northern U.S., this “silent killer” means unplanned stops, reduced payloads, and higher operating costs.
From personal experience, cold weather still impacts EV batteries even with various inventions and strategies that companies have come up with. In the cold Pennsylvania winter, charging was much more frequent for me due to range loss due to temperatures.
Tesla’s cubic battery pack flips the script. By arranging the 4680 cells in tall, dense vertical stacks, the pack minimizes external surface area relative to its volume—essentially turning the battery into its own thermal blanket.
Factory video from the Semi assembly line shows these large, yellow-green structural modules mounted directly onto the chassis, forming a near-cube shape.
The reduced exposure helps the pack retain heat generated during operation, keeping cells closer to their optimal temperature even after hours in sub-zero conditions.
The design doesn’t stop there. Tesla pairs the cubic pack with an advanced heat pump system that actively recycles thermal energy from the motors, brakes, and even ambient air.
Tesla reveals various improvements to the Semi in new piece with Jay Leno
Unlike passive systems in earlier EVs, this architecture transfers waste heat back into the battery, maintaining readiness for morning departures without draining the pack.
Executives have noted that the combination, cubic geometry plus intelligent thermal management, dramatically cuts overnight cooldown and range degradation, making the Semi viable for 24/7 fleet operations in harsh winters.
Beyond cold-weather performance, the redesigned pack integrates structurally with the truck’s frame, enhancing rigidity while simplifying assembly. Production footage shows workers installing the massive modules early in the line, signaling that the Semi’s battery is now a core chassis component rather than an add-on.
Using proven 4680 cells keeps costs down and leverages Tesla’s scaled manufacturing know-how from Cybertruck and Model Y lines.
Tesla’s focus on ramping up Semi output will lean on small innovative steps like this one. Truckers are not immune to traveling in cold weather conditions, and changes like this one will help make them more effective while also increasing output by logistics operators who choose to go all-electric with the Tesla Semi.
Elon Musk
SpaceX is keeping the Space Station alive again this weekend
SpaceX’s Falcon 9 launches Northrop Grumman’s Cygnus NG-24 to the ISS with 11,000 pounds of cargo Saturday.
SpaceX is targeting April 11 for the launch of Northrop Grumman’s Cygnus XL cargo spacecraft to the International Space Station, carrying over 11,000 pounds of supplies, science hardware, and equipment for the Expedition 73 crew aboard. Liftoff is set for 7:41 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available April 12 at 7:18 a.m. ET.
The mission, officially designated NG-24 under NASA’s Commercial Resupply Services program, names its spacecraft the S.S. Steven R. Nagel in honor of the NASA astronaut who flew four Space Shuttle missions and logged over 723 hours in space before his death in 2014. Unlike SpaceX’s own Dragon capsule, which docks autonomously, Cygnus relies on NASA astronauts to capture it using a robotic arm before it is berthed to the space station’s module for unloading. When the mission wraps up around October, the Cygnus will depart loaded with station trash and burn up on reentry.
Countdown: America is going back to the Moon and SpaceX holds the key to what comes after
This is the second flight of the Cygnus XL configuration, which debuted on NG-23 in September 2025 and offers a roughly 20% increase in cargo capacity over the previous design. Northrop Grumman switched to Falcon 9 launches after its own Antares 230+ rocket was retired in 2023 following supply chain disruptions from the war in Ukraine.
The upcoming cargo includes a new module to advance quantum research, and an investigation studying blood stem cell production in microgravity with potential therapeutic applications on Earth.
The NG-24 mission is one piece of a much larger picture for SpaceX and the U.S. government. As Teslarati reported, SpaceX has become an indispensable launch provider for U.S. national security missions, picking up a $178.5 million Space Force contract in April 2026 to launch missile tracking satellites, while also holding roughly $4 billion in NASA contracts tied to the Artemis lunar program.
At a time when no other American rocket can match the Falcon 9’s combination of reliability, cost, and launch cadence, Saturday’s mission is a straightforward reminder of how much the U.S. government now depends on a single commercial provider to keep its astronauts supplied and its satellites flying.
News
Tesla hits FSD hackers with surprise move
In recent weeks, the company has begun remotely disabling FSD capabilities on affected vehicles, and in some instances, permanently revoking access even for owners who paid thousands of dollars for the feature.
Tesla is cracking down on hackers who have figured out a way to utilize third-party programs to activate Full Self-Driving (FSD) in their vehicles — despite the suite not being approved for use in their country.
Tesla has launched a sweeping enforcement campaign against owners using third-party hardware hacks to activate FSD software in countries where the advanced driver-assistance system remains unregulated or unapproved.
In recent weeks, the company has begun remotely disabling FSD capabilities on affected vehicles, and in some instances, permanently revoking access even for owners who paid thousands of dollars for the feature.
Tesla has started remotely disabling Full Self-Driving on cars fitted with third-party CAN bus hacks in countries where the software is not yet approved.
This crackdown began after the hacks started spreading widely last month. 👇 pic.twitter.com/wL8VqZuTlK
— PiunikaWeb – helpful, and breaking tech news (@PiunikaWeb) April 9, 2026
Reports of the crackdown have surfaced across Europe, China, Japan, South Korea, and the UK, marking a significant escalation in Tesla’s efforts to enforce regional software restrictions.
FSD is Tesla’s flagship supervised autonomy package, which is available in several countries across the world. Currently limited by regulatory hurdles, it has not received full approval in most markets outside of the United States due to various things, such as safety standards, data privacy, and local traffic laws.
However, the company is working to expand its availability globally. Nevertheless, Tesla has installed the necessary hardware on vehicles globally, but locks the features based on geographic location.
Some owners have taken accessing FSD into their own hands, using jailbreak or bypass devices.
These “jailbreak” tools, typically €500 USB-style modules that plug into the vehicle’s Controller Area Network (CAN) bus, intercept signals to spoof approvals and unlock FSD, including advanced navigation, Autopark, and Summon features.
Hackers in Poland, Ukraine, and elsewhere have distributed the devices, with some claiming they work on HW3 and HW4 vehicles and can be unplugged to restore stock settings. In China alone, over 100,000 owners reportedly installed such modifications.
Tesla’s response has been swift and uncompromising. Recently, the company began sending in-car notifications and emails warning owners that unauthorized modifications violate terms of service, compromise vehicle safety systems, and expose cars to cybersecurity risks.
The email communication read:
“Your vehicle has detected an unauthorized third-party device. As a precaution, some driver assistance functions have been disabled for safety reasons. A software update will be available soon. Once you install the update, some features may be enabled again.”
Vehicles detected using the hacks have had FSD capabilities remotely disabled without refund. In some cases, owners report permanent bans, even if they had legitimately purchased the software package.
Tesla’s hardline stance underscores its commitment to regulatory compliance and safety.
Tesla has long argued that unsupervised FSD requires rigorous validation, and premature activation could endanger drivers and bystanders.
The crackdown sends a clear-cut message to those who are bypassing the FSD safeguards, but there are greater implications for Tesla if something were to go wrong. This is an understandable way to protect the company’s reputation for its FSD suite.

