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Tesla’s spring update arrives with adaptive headlights and more
The highly anticipated adaptive headlights are finally set to roll out to owners in the U.S. and Canada.
Tesla shared release notes for its spring update over the weekend, and the forthcoming update includes new features such as the highly anticipated adaptive headlights, custom trunk height settings, and more.
In a post on X on Saturday, Tesla said that the 2025 spring update would be rolling out soon, along with noting that the software version would include the highly anticipated adaptive headlights for owners in the U.S. and Canada. The update also adds features such as the ability to set custom frunk and trunk heights at saved locations, view and select alternative trip routing plans, and a number of other minor improvements.
After the release of the new Model Y, Tesla’s VP of Vehicle Engineering Lars Moravy confirmed in February that the matrix headlights and adaptive headlights would be making their way to the U.S. soon, alongside their inclusion in the refreshed model. Additionally, Moravy went on to confirm that the adaptive headlights would be coming to the Cybertruck after speculation around the topic.
READ MORE ON TESLA SOFTWARE UPDATES: Tesla’s new Model Y gets first software update—Here’s what’s in it
You can see the full release notes for Tesla’s 2025 spring update below, as shared by the company over the weekend.
Adaptive Headlights (U.S. and Canada)
Credit: Tesla | X
High beams adapt to reduce glare for other drivers and cyclists. By detecting other road users, and selectively dimming individual pixels of the headlight, your high beams stay on more often for greater visibility at night.
If your vehicle has the necessary hardware, you will see the setting under Controls > Lights > Adaptive Headlights
Blind Spot Camera on Driver Screen (New Model S/X)
Credit: Tesla | X
Blind Spot Camera feed is now available on the instrument panel.
Controls > Display > Automatic Blind Spot Camera & select Driver Screen
Dashcam Update & Side Camera Recording (Newer Model S, 3, X, and Y)
Credit: Tesla | X
Your vehicle’s side cameras (B-Pillar) will now be recorded to both Dashcam and Sentry clips, increasing the total number of camera views from 4 to 6.
The Dashcam Viewer app has also been redesigned with a grid view and quick access to the next video, making it easier review recordings.
Alternative Trip Plans
Credit: Tesla | X
Multiple trip plans are now available for you to choose from, allowing you to better suit your travel needs. Also, when viewing a charger location page, nearby restaurants, cafes, and shops within walking distance are displayed at the bottom
Fastest: offers the quickest route
Best Amenities: prioritizes stops near open and highly rated restaurants, shops, and restrooms
Fewer Stops: minimizes charging stops
Comfort Drive Mode in Autopilot (Cybertruck)
Your Cybertruck will now automatically transition to Comfort Drive Mode when Autopilot is engaged.
Lane Departure Avoidance (Cybertruck)
Credit: Tesla | X
This feature warns you if your vehicle drifts near or out of your lane. With this update, your Cybertruck can now also assist you.
When enabled, a blue indicator line will appear on the touchscreen, showing which lane marking is being crossed. You can customize Lane Departure Avoidance in Controls > Autopilot > Lane Departure Avoidance.
Save Trunk Height Based on Location (Model 3, Model Y, New Model S/X, New Model 3)
Credit: Tesla | X
Customize the opening height of your trunk & save it as the default for a specific location, such as your garage.
To set height, manually adjust the lift gate to your preferred opening height, then press & hold the trunk close button until you hear a chime.
Save Frunk Height Based on Location (Cybertruck)
Customize the opening height of your frunk & save it as the default or for a specific location, such as your garage. Manually adjust to your preferred height, then press & hold frunk exterior button until you hear a chime.
Avoid Highways
Navigation can now avoid highways when possible. Go to Controls > Navigation > Avoid Highways
Keyboard languages
Credit: Tesla | X
Switch between different language input methods on your touchscreen. Go to Controls > Display > Keyboards
Keep Accessory Power On
Use or charge devices through USB ports / inductive phone charger / low voltage outlets (depending on what your vehicle is equipped with) after exiting your Tesla, as long as battery is >20 percent
Minor Updates
- Media search results are now filtered by sources, providing faster and more streamlined access to content
- You can now shuffle an entire Apple Music playlist that contains more than 100 songs
- Easily scroll through your SiriusXM favorites by tapping the steering wheel button left or right
- Sign in with your Amazon Music Free account. Requires Premium Connectivity or an active WiFi connection
- See what song will play next on YouTube Music playlists in the Up Next view of the media player
- If your hotspot is enabled, it will automatically connect to your vehicle once you start driving, so you won’t have to reconnect each time
Tesla launches Holiday Update: Apple Watch app, Sentry Mode upgrades, and more
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
