News
Mercedes-Benz DRIVE PILOT captures world’s first approval for hands-free driving
Mercedes-Benz DRIVE PILOT has captured the world’s first approval for ‘conditionally automated’ driving on German highways with its Level 3 system. The German automaker’s DRIVE PILOT is the first internationally valid system, as it met the requirements of Global Automotive Regulation No. 157, which concerns the approval of vehicles with regards to Automated Lane-Keeping Systems.
Mercedes-Benz announced the accomplishment, calling it proof of the company’s “pioneering work in automated driving.” The German Federal Motor Transport Authority granted the approval.
“For many years, we have been working to realize our vision of automated driving. With this LiDAR-based system, we have developed an innovative technology for our vehicles that offers customers a unique, luxurious driving experience and gives them what matters most: time. With the approval of the authorities, we have now achieved a breakthrough: We are the first manufacturer to put conditionally automated driving into series production in Germany,” Member of the Board of Management of Daimler AG and Mercedes-Benz AG, Chief Technology Officer responsible for Development and Purchasing Markus Schäfer said.
Die Bedienelemente für den DRIVE PILOT sitzen im Lenkradkranz oberhalb der Daumenmulden rechts und links. Aktiviert der Fahrer den DRIVE PILOT, regelt das System Geschwindigkeit und Abstand und führt das Fahrzeug souverän innerhalb der Spur. // The controls for DRIVE PILOT are located in the steering wheel rim above the thumb recesses on the right and left. If the driver activates DRIVE PILOT, the system regulates speed and distance and guides the vehicle confidently within the lane.
DRIVE PILOT will first be available in Mercedes-Benz S-Class models in the first half of 2022. There will be initial limitations with the functionality’s ability, and drivers will only be able to drive at speeds of up to 60 km/h or 37 MPH on German highways. This will effectively limit the Level 3 system to operating in “heavy traffic or congested situations on suitable stretches of highway in Germany.” Regularly flowing traffic patterns at speeds that exceed the approved limits will require a normal driving operation.
Levels of autonomous driving have been outlined by the Society of Automotive Engineers (SAE). Level 3 Autonomy does not require humans to perform the act of driving. However, of the three levels that allow hands-free driving, which are Levels 3, 4, and 5, Level 3 is the only category in which the driver must take over if the vehicle requests human intervention. Level 3 is effectively described as a “traffic jam chauffeur,” which would align with the capabilities of the DRIVE PILOT system.
“During the conditionally automated journey, DRIVE PILOT allows the driver to take their mind off the traffic and focus on certain secondary activities, be it communicating with colleagues via In-Car Office, surfing the internet, or relaxing while watching a film. In DRIVE PILOT mode, applications can be enabled on the vehicle’s integrated central display that are otherwise blocked while driving,” the automaker wrote.
The system will initially be available on 8,197 miles or 13,191 kilometers of German highway. Mercedes-Benz said that it is working on completing extensive test drives in other markets, including the U.S. and China, so that it can launch DRIVE PILOT in countries outside of Germany.
DRIVE PILOT in der S-Klasse: Hochautomatisiertes Fahren auf Deutschlands Autobahnen // DRIVE PILOT in the S-Class: Conditionally automated driving on German freeways
DRIVE PILOT uses a LiDAR-based system for operation, but it also has a camera in the rear window and a microphone, which will both be used to detect approaching emergency vehicles by recognizing flashing blue lights and sirens. There is also a moisture sensor in the wheel well, used for detecting slippery or wet driving conditions. A digital HD map will transmit information regarding road geometry, route profile, traffic signs, and unusual traffic events, including accidents or road work, to DRIVE PILOT, helping it make informed and logical decisions throughout the vehicle’s operation.
Mercedes-Benz also said that it has implemented a safety system that will inform the driver of when the vehicle needs to be back in the control of a human. If the driver fails to take back control of the car for any reason, including medical emergencies, the vehicle’s braking system will bring the car to a stop in a controlled manner while also activating hazard lights. Mercedes-Benz has an emergency call system, which will automatically contact first responders, and the vehicle’s doors and windows will unlock for easier access for first responders.
Mercedes-Benz has been working to get DRIVE PILOT approved by regulators since mid-2021.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
News
Tesla Model Y and Model 3 named safest vehicles tested by ANCAP in 2025
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025.
The Tesla Model Y recorded the highest overall safety score of any vehicle tested by ANCAP in 2025. The Tesla Model 3 also delivered strong results, reinforcing the automaker’s safety leadership in Australia and New Zealand.
According to ANCAP in a press release, the Tesla Model Y achieved the highest overall weighted score of any vehicle assessed in 2025. ANCAP’s 2025 tests evaluated vehicles across four key pillars: Adult Occupant Protection, Child Occupant Protection, Vulnerable Road User Protection, and Safety Assist technologies.
The Model Y posted consistently strong results in all four categories, distinguishing itself through a system-based safety approach that combines structural crash protection with advanced driver-assistance features such as autonomous emergency braking, lane support, and driver monitoring.
This marked the second time the Model Y has topped ANCAP’s annual safety rankings. The Model Y’s previous version was also ANCAP’s top performer in 2022.
The Tesla Model 3 also delivered a strong performance in ANCAP’s 2025 tests, contributing to Tesla’s broader safety presence across segments. Similar to the Model Y, the Model 3 also earned impressive scores across the ANCAP’s four pillars. This made the vehicle the top performer in the Medium Car category.
ANCAP Chief Executive Officer Carla Hoorweg stated that the results highlight a growing industry shift toward integrated safety design, with improvements in technologies such as autonomous emergency braking and lane support translating into meaningful real-world protection.
“ANCAP’s testing continues to reinforce a clear message: the safest vehicles are those designed with safety as a system, not a checklist. The top performers this year delivered consistent results across physical crash protection, crash avoidance and vulnerable road user safety, rather than relying on strength in a single area.
“We are also seeing increasing alignment between ANCAP’s test requirements and the safety technologies that genuinely matter on Australian and New Zealand roads. Improvements in autonomous emergency braking, lane support, and driver monitoring systems are translating into more robust protection,” Hoorweg said.
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
