April 8, 2026
By Nehal Malik
Tesla is continuing to bridge the feature gap between its newest models with its latest software push. As part of the massive 2026.2.9.6 update, the Cybertruck is finally receiving the “Blind Spot Warning While Parked” feature, a critical safety tool designed to prevent “dooring” accidents.
Last updated: Apr 8, 5:00 am UTC
According to the official release notes, the system is designed to keep drivers and passengers from accidentally opening their doors into the path of oncoming traffic, cyclists, or pedestrians. This update is particularly significant because it arrives alongside Full Self-Driving v14.3, which for once comes with the same release notes for the Cybertruck as the more mainstream Model Y.
Preventing the Danger of “Dooring”
“Dooring” is a term used for a specific and dangerous type of collision where a person in a parked car opens their door without checking their blind spot, hitting a cyclist or forcing them to swerve into traffic. These incidents often result in severe injuries, but Tesla’s new solution uses the vehicle’s side-facing cameras to monitor the environment even after the car is stopped.
The release notes explain exactly how the safety intervention works: “If you attempt to open a door while an approaching object is detected in your blind spot (for example, a bicyclist approaching from behind) the blind spot indicator light flashes, a chime sounds, and your door will not open upon initial button press.” To ensure you aren’t trapped in an emergency, Tesla allows for a manual override. You can simply “wait a short time and press the button a second time to override the warning.”
Utilizing Built-in Hardware
This feature was first introduced on the “Highland” Model 3 refresh back in November 2024. Like that model, the Cybertruck features a dedicated blind-spot indicator LED hidden within the upper speaker grills. When a hazard is detected, this red LED will flash to catch your eye before you even touch the door release.
The system detects more than just bikes; it picks up on cars, pedestrians, and “other objects” that Tesla Vision identifies as a threat, and it is especially useful on a vehicle as large as the Cybertruck. Because the Cybertruck uses electronic door buttons rather than traditional mechanical latches, the car can effectively “lock” the door electronically on that first press to prevent a collision. It is important to note, however, that the emergency mechanical door release levers will still bypass this safety check.
Customization and Rollout
Owners who find the intervention too intrusive can toggle the feature off under Controls > Safety in the vehicle’s touchscreen. While it is currently limited to the Highland Model 3 and the Cybertruck due to their speaker-grill LEDs, there is speculation that Tesla could eventually bring a version of this to the Model Y and the rest of its fleet, using just on-screen warnings and audio chimes.
As Tesla’s flagship truck finally gains parity with the rest of the fleet’s safety tech, it’s clear that the company is prioritizing urban safety. With more people moving toward micromobility, features like this could significantly reduce the number of preventable accidents in crowded city centers.
Subscribe to our newsletter to stay up to date on the latest Tesla news, upcoming features and software updates.
April 7, 2026
By Nehal Malik
Tesla officially started releasing Full Self-Driving (Supervised) v14.3 on Tuesday. This major update, which CEO Elon Musk has previously called “the last big piece” of the self-driving puzzle, is now rolling out to early public testers. It follows a brief internal testing period where employees spent the last week validating the build.
According to the official release notes, v14.3 introduces a “completely rewritten AI compiler and runtime from the ground up with MLIR.” This technical overhaul is a big deal for the average driver because it results in a 20% faster reaction time for the vehicle. In the world of AI, speed is safety, and this faster processing allows the car to make split-second decisions with much more confidence.
Last updated: Apr 8, 5:00 am UTC
Fleet Learning and 3D Geometry
The most significant shift in v14.3 is the introduction of vehicle-to-fleet communication and reasoning. Tesla is now using its global fleet to source “infrequent events” and “hard RL examples” to train the neural network. This means your car is effectively learning from the most difficult scenarios encountered by millions of other Teslas, such as complex intersections with compound lights, curved roads, and even the behavior of small animals.
The vision encoder has also been upgraded, which we correctly predicted would strengthen 3D geometry and traffic sign understanding. This allows the car to better “see” objects that are hanging or leaning into the road, like low tree branches or construction equipment. The release notes also mention better performance in low-visibility scenarios, potentially improving how the system handles bad weather.
For Cybertruck owners, there is extra good news: the release notes are identical to the Model Y, meaning the Cybertruck is finally receiving FSD parity with Tesla’s mainstream models. FSD v14.3 also brings the “Parked Blind Spot Warning” feature to the Cybertruck, which prevents passengers from opening doors into oncoming traffic, cyclists, or pedestrians.
Smarter Parking, But No Banish
While the update is packed with driving improvements, some fans might be disappointed to see that Actually Smart Summon (ASS) didn’t get any specific love. There is also still no sign of “Banish,” the fabled feature that would allow your Tesla to drop you off and then autonomously find its own parking spot.
However, v14.3 does lay the groundwork for Banish with “increased decisiveness of parking spot selection and maneuvering.” The car is now much better at predicting parking spots, which will now be shown on the map with a specific “P” icon. It has also improved its ability to recover from “temporary system degradations” without needing the driver to take over, which is a key requirement for a truly driverless parking experience.
Potholes and Better Monitoring on the Horizon
The release notes also give us a rare “Upcoming Improvements” section, which will likely roll out in point releases over the coming weeks. One of the most requested features, pothole avoidance, is officially on the list. Tesla also plans to expand AI reasoning to all driving behaviors, moving beyond just destination handling, and significantly improve the driver monitoring system.
The new monitoring tech will feature higher accuracy in variable lighting and better eye gaze tracking, even for drivers wearing sunglasses. This suggests Tesla is getting very close to allowing longer periods of “hands-off” driving while ensuring the driver is still paying attention.
With v14.3, the dream of a truly autonomous Robotaxi network feels closer than ever. Tesla is no longer just writing code; it is teaching a global brain to drive.
April 7, 2026
By Nehal Malik
Tesla’s ambitious quest to control its own silicon destiny just gained a massive ally. Intel has officially joined the “Terafab” project, a joint venture between Tesla, SpaceX, and xAI aimed at building the most advanced semiconductor manufacturing complex in human history. The partnership was confirmed following a weekend meeting between Elon Musk and Intel CEO Lip-Bu Tan at Intel’s campus.
In an announcement on X, Intel expressed pride in joining the effort to “refactor silicon fab technology.” The company noted that its ability to fabricate and package ultra-high-performance chips at scale will be key to reaching Terafab’s goal of producing 1 terawatt (TW) of compute per year.
Completing the Chipmaking Trifecta
For years, Tesla has relied on outside foundries to produce the brains for its vehicles. Currently, the company works with TSMC and Samsung, even recently striking a massive $16 billion deal with the latter for AI6 chip production. By bringing Intel into the fold, Musk has effectively teamed up with the three biggest names in the industry to ensure his companies never face a supply bottleneck again.
The Terafab, located just outside Giga Texas in Austin, is designed to be an “Advanced Technology Fab.” Unlike traditional factories that might just make one part of a chip, this facility aims to handle logic, memory, and advanced packaging all under one roof. This setup allows for a cycle of “recursive improvement,” where engineers can make a mask, print a chip, and test it in a matter of days rather than months.
Powering Robots and Space Data Centers
The scale of the Terafab is hard to wrap your head around. During the official launch event last month, Musk explained that existing global fabs only achieve about 2% of his ultimate compute goal. To support 1 billion Optimus robots and a multi-planet civilization, humanity needs a massive leap in hardware production.
The project is split into two primary facilities. One will focus on terrestrial AI, producing the AI5 and AI6 chips that power Full Self-Driving and the Optimus humanoid robot. The second facility is even more futuristic: it will produce D3 chips designed specifically for orbital data centers. These space-based computers will be launched by SpaceX’s Starship and powered by 24/7 solar energy, bypassing the power constraints of the local electrical grids on Earth.
From Concept to Construction
Tesla has already started the hiring process for specialized talent in Austin to oversee the factory design and construction. For Intel, this partnership is a major win for its “Intel Foundry” business, which has been working to prove it can support the world’s most demanding customers after falling behind in the AI race.
“Elon has a proven track record of re-imagining entire industries. This is exactly what is needed in semiconductor manufacturing today,” said Intel CEO Lip-Bu Tan. As Tesla pivots from being just a car company to an AI and robotics powerhouse, controlling the silicon stack is no longer optional — it’s the only way to reach the era of “Sustainable Abundance” that Musk envisions.
