News
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
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
