News
Tesla safety tech takes giant step with FCC approval for wave sensor
Tesla’s request for the Federal Communications Commission (FCC) to approve a millimeter-wave sensor for child protection and anti-theft measures has been granted. Along with five other companies, Tesla received “a grant of waivers” on April 14, 2021, that would allow the installation of radar sensors in the 57-64 GHz frequency band in passenger motor vehicles. The system is now likely to contribute to the imminent release of a driver monitoring system, which would keep drivers attentive during the use of the company’s Full Self-Driving suite.
The document also granted Vayyar Imaging Ltd., Valeo North America, Infineon Technologies America Corp, IEE Sensing Inc., and Brose North America to use millimeter-wave sensors. Tesla and IEE were approved for 60-64 GHz, while the other companies can utilize 57-64 GHz.
Millimeter-Wave Sensor
In August 2020, Teslarati reported that Tesla had requested the FCC to approve a short-range motion sensor that would save kids from being left in hot cars. The sensor would also boost the company’s theft-prevention system as it would be active “approximately 6 feet” outside of the vehicle “to provide vehicle security benefits such as detecting a broken window or a vehicle intrusion.” Tesla originally filed for a request for a waiver on July 31, 2020.
After a few months of research and deliberation, the FCC is waiving requirements that would prohibit the approval of these systems. The government agency says that “We find that grant of these waivers…will bring immediate relief to the industry and the public in this area. Specifically, our action will bring forth substantial public benefits by improving vehicular safety for children and providing opportunities for additional vehicular automation and theft prevention applications without increasing the potential for harmful interference to authorized users in the band.”
The Sensor’s use for Driver Monitoring for Full Self-Driving
New FCC documents obtained by Teslarati indicate that Tesla’s device “will use 4 transmit and 3 receive antennas driven by a highly configurable radar front-end unit and in-vehicle radar modulation will consist of consecutive frames, including an acquisition sequence comprised by a repetition of frequency chirps or stepped chirps, a listening period, then a period for signal processing.” However, there may be more uses for the sensor, which aligns with the company’s current plans to monitor driver behavior and attentiveness during the use of Autopilot or Full Self-Driving.
The documents state:
“Tesla identifies some potential use cases—child detection, cabin intrusion, and exterior detection—for which sensing would occur only while the vehicle is stationary; and other use cases—occupant detection and classification—for which the device would sense both while the vehicle is stationary and while in motion; and one use case—driver’s vital signs monitoring—for which the device would sense only while the vehicle is in motion.”
The device, along with the vehicle’s interior cabin camera, will monitor facial features and vital signs to ensure that a driver is paying attention. Tesla recently revoked access to its FSD Beta program to some owners as they did not remain sufficiently attentive while utilizing the FSD Suite.
Tesla officially expands FSD Beta test field while revoking access to the irresponsible
In early April, Tesla hacker green released footage of the Driver Monitoring system, showing how the interior cabin camera would constantly look at the driver’s facial features. This would ensure that a driver using the FSD or Autopilot systems is still paying attention to the road. Because Tesla’s FSD isn’t operating with Level 5 autonomy, it still requires the driver to pay attention to the road and the vehicle’s surroundings.
By popular demand, night footage with Tesla DMS detections.
It’s not perfect but workable with street lights and whatnot (as suspected)
Full 23.5 minutes footage on youtube: https://t.co/AZSpN3ZoFi
No idea why Dark/blinded top out at 50% only.
reworked display.@rice_fry pic.twitter.com/FiF6i33XGZ— green (@greentheonly) April 8, 2021
Advocates for Highway and Auto Safety believe that the inclusion of the sensor could be highly advantageous for autonomous vehicles. “The ability of a vehicle to detect and classify all occupants will likely be critical as autonomous vehicles (AVs) are deployed onto our roads in the future… because…AVs will need to know the number of occupants and whether they are properly restrained before beginning to move,” safety advocates said.
Child Safety and Anti-Theft Devices
The device was originally going to be used to detect children left in a hot car. The system “provides depth perception and can ‘see’ through soft materials, such as a blanket covering a child in a child restraint,” according to Tesla’s original filing. The device “can differentiate between a child and an object left on the seat, reducing the likelihood of false alarms,” Tesla said. It can also detect “micromovements like breathing patterns and heart rates, neither of which can be captured by cameras or in-seat sensors alone.” Google was granted the use of a device “under the same technical parameters” by the FCC in 2018.
The device would also be able to detect intrusions of theft attempts, which could be coupled with the highly effective Tesla Sentry Mode. Sentry Mode records events that occur near the vehicle and has helped police crack several vandalism and robbery cases in the past.
The National Highway Traffic Safety Administration says that 105 kids were killed in 2018 and 2019 because of being left in a hot car. The death occurred 54% of the time because someone forgot their child was in the car. The approval of the millimeter-wave sensor could decrease that number significantly if it receives widespread approval after Tesla’s usage.
The use of the sensor is immediately effective. “Accordingly, pursuant to authority in Sections 0.31, 0.241, and 1.3 of the Commission’s rules, 47 CFR §§ 0.21, 0.241, and 1.3, and Sections 4(i), 302, 303(e), and 303(r) of the Communications Act of 1934, as amended, 47 U.S.C. §§ 154(i), 302, 303(e), and 303(r), IT IS ORDERED that the Request for Waiver filed by Tesla Inc. IS GRANTED, consistent with the terms of this Order. This action is effective upon release of this Order.”
The FCC’s grant documentation is available below.
DA-21-407A1 (1) by Joey Klender on Scribd
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
