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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.”
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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
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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.
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DA-21-407A1 (1) by Joey Klender on Scribd
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
