News
Rivian’s full self-driving suite is designed to ignore an inattentive driver’s input
Rivian’s CEO RJ Scaringe has teased Jurassic Park-style self-driving tours with the company’s all-electric R1T pickup truck and R1S SUV several times now, but specific details on the car maker’s autonomy approach have been few and far between. Oliver Jeromin, Rivian’s Associate Director of Self-Driving, recently shed some light on the matter during an interview with TechCrunch.
“We want to embrace the challenge,” Jeromin said in response to a question over Rivian’s goal of bringing Level 3 autonomous driving to its vehicles versus other approaches. “There are mobility companies that are working on Level 4, and they’re looking at it kind of from the top down, coming from 4 or 5 for more fleet applications possibly… We want to get a feature into our customers hands sooner than possibly some of those other systems might be fully vetted,” he said.
Rivian’s electric lineup will enable this type of self-driving capability using a suite of cameras, radar, ultrasonic sensors, high-precision GPS technologies, and two cleverly-placed LiDAR. Such features are similar to those found in Tesla’s cars for the same purpose; however, where the two companies differ at the moment is notable. Rivian’s system is being developed to have a two-part monitoring system determining its full self-driving suite’s behavior based on driver input rather than a single requirement for hands to be on the steering wheel.
“We’re building a driver-monitoring system so it’s not just one sensor like a torque input sensor – like if a driver actually wants to disengage the longitudinal and lateral controller,” Jeromin explained. “There going to be a driver-monitoring camera, and there’s also going to be hands-on wheel sensors.”
In other words, Rivian’s full self-driving system will ignore driver input unless it is determined to be intentional. A Level 3 self-driving system can handle most aspects of driving, so if a driver wants their vehicle to behave differently than its programming is carrying out, the car will use the camera and sensors in the cabin to determine whether to proceed. If, say, the wheel is bumped from the driver shifting around in their seat for some reason, the safety procedures will know it was an accident.
“It’s really trying to determine the driver’s intention because if…you inadvertently give the steering input to the steering controller…the driver monitoring camera will see that you’re not looking at the road, and you also don’t have both hands on the wheel,” Jeromin clarified. “So, we’ll have to ignore that input from the human to understand that they’re not intending to change lanes. They’re actually just doing something else while the vehicle is in control.”
Tesla has also installed cameras to monitor activity in vehicle cabins, but the purpose isn’t exactly to monitor the driver’s intentions. Rather, Tesla Network passengers will be recorded to ensure any damages caused can be remedied. “It’s there for when we start competing with Uber/Lyft & people allow their car to earn money for them as part of the Tesla shared autonomy fleet. In case someone messes up your car, you can check the video,” CEO Elon Musk replied on Twitter to a Tesla owner’s inquiry about the tiny camera inside the rear view mirror. “Also, it can be used to supplement cameras on outside of vehicle, as it can see through 2nd side windows & rear window…Only external cameras are being used right now, so internal is not enabled. When it is enabled, we’ll add a setting to disable internal camera.”
As Rivian continues to develop its manufacturing process to bring the R1S and R1T to market, it will be interesting to also see what differences and similarities the car maker will have with other companies working on full self-driving vehicle software. Tesla has billions of miles in Autopilot-driven customer data to use for training of its self-driving program, so perhaps Rivian will eventually share its plan to close the gap.
Watch TechCrunch’s full interview with Rivian’s staff below:
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
