Polestar plans to demonstrate its Smart Eye driver monitoring technology in January at the Consumer Electronics Show (CES) in Las Vegas.
Polestar’s Smart Eye technology is designed using two closed-loop premium driver monitoring cameras that track head, eye, and eyelid movements and trigger warning sounds or messages, or even go as far as bringing the car to a stop if the system detects a distracted, drowsy, or disconnected driver. Smart Eye, in conjunction with other standard Driver Assistance features like Lane Keeping, Adaptive Cruise Control, and more, helps to keep drivers safe.
Smart Eye and @PolestarCars will demonstrate the Polestar 3 #DMS, designed to help avoid accidents and save lives, at CES 2023 in Las Vegas!
The Polestar 3 will be on display in Smart Eye’s booth (#6353) in the West Hall. See you there!
Read more: https://t.co/9bNW1xJl17 pic.twitter.com/i4Hqa2fBjO
— Smart Eye (@SmartEyeAB) December 15, 2022
Polestar plans to display to visitors how the Smart Eye system utilizes AI software to detect driver attentiveness in real time and how it tracks head and eye movements to determine if an operator is paying attention and engaged in driving behaviors.
“This technology addresses some of the main reasons behind fatal accidents and can help save lives by prompting the driver to refocus attention on the road – and can initiate preventive action when they don’t, or can’t,” Thomas Ingenlath, Polestar’s CEO, said.
The development of driver monitoring systems has helped decrease instances of distracted driving. The technology is advantageous in multiple applications, especially as semi-autonomous driving systems and more advanced ADAS systems have come to the market.
In vehicles not equipped with semi-autonomous driving functionality, driver monitoring systems can help keep drivers’ eyes on the road and off of things like cell phones, which are a leading cause of distracted driving accidents in the United States. The NHTSA said 3,142 people were killed due to distracted driving in 2020.
The systems are also hugely effective in cars that feature semi-autonomous driving. Although these systems allow drivers to relinquish certain responsibilities like speed control or lane keeping, they are not fully autonomous and still require the operator’s attention. Unfortunately, some drivers take advantage of these features and use them irresponsibly, which is where systems like Smart Eye will come in.
Polestar is not the first and will certainly not be the last automaker to employ these systems to keep drivers safe. Tesla activated cabin-facing cameras to monitor driver behavior in mid-2020. General Motors has driver monitoring systems for its Super Cruise system. Ford also has driver monitoring for its BlueCruise. Lucid has driver monitoring as a primary focus of its DreamDrive suite. It’s only a matter of time before more automakers adopt camera or AI-based driver monitoring systems.
Ford Blue Cruise and GM Super Cruise lauded in Consumer Reports’ driver monitoring rankings
Generally, driver monitoring systems help keep drivers safe. They are more effective than things like steering wheel sensors as they can be cheated with various methods, including vehicle-specific cheat devices. Educating drivers on how the systems work and how they keep operators accountable is essential. Polestar’s demonstration will likely lead to a better understanding of how technology and AI can lead to safer roads.
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Elon Musk
SpaceX pursues 5G-level connectivity with Starlink Mobile V2 expansion
SpaceX noted that the upcoming Starlink V2 satellites will deliver up to 100 times the data density of the current first-generation system.
SpaceX has previewed a major upgrade to Starlink Mobile, outlining next-generation satellites that aim to deliver significantly higher capacity and full 5G-level connectivity directly to mobile phones.
The update comes as Starlink rebrands its Direct-to-Cell service to Starlink Mobile, positioning the platform as a scalable satellite-to-mobile solution that’s integrated with global telecom partners.
SpaceX noted that the upcoming Starlink V2 satellites will deliver up to 100 times the data density of the current first-generation system. The company also noted that the new V2 satellites are designed to provide significantly higher throughput capability compared to its current iteration.
“The next generation of Starlink Mobile satellites – V2 – will deliver full cellular coverage to places never thought possible via the highest performing satellite-to-mobile network ever built.
“Driven by custom SpaceX-designed silicon and phased array antennas, the satellites will support thousands of spatial beams and higher bandwidth capability, enabling around 20x the throughput capability as compared to a first-generation satellite,” SpaceX wrote in its official Starlink Mobile page.
Thanks to the higher bandwidth of Starlink Mobile, users should be able to stream, browse the internet, use high-speed apps, and enjoy voice services comparable to terrestrial cellular networks.
In most environments, Starlink says the upgraded system will enable full 5G cellular connectivity with a user experience similar to existing ground-based networks.
The satellites function as “cell towers in space,” using advanced phased-array antennas and laser interlinks to integrate with terrestrial infrastructure in a roaming-like architecture.
“Starlink Mobile works with existing LTE phones wherever you can see the sky. The satellites have an antenna that acts like a cellphone tower in space, the most advanced phased array antennas in the world that connect seamlessly over lasers to any point in the globe, allowing network integration similar to a standard roaming partner,” SpaceX wrote.
Starlink Mobile currently operates with approximately 650 satellites in low-Earth orbit and is active across more than 32 countries, representing over 1.7 billion people through partnerships with mobile network operators. Starlink Mobile’s current partnerships span North America, Europe, Asia, Africa, and Oceania, allowing reciprocal access across participating nations.
News
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.
Tesla’s Full Self-Driving (Supervised) system has now surpassed 8.4 billion cumulative miles.
The figure appears on Tesla’s official safety page, which tracks performance data for FSD (Supervised) and other safety technologies.
Tesla has long emphasized that large-scale real-world data is central to improving its neural network-based approach to autonomy. Each mile driven with FSD (Supervised) engaged contributes additional edge cases and scenario training for the system.

The milestone also brings Tesla closer to a benchmark previously outlined by CEO Elon Musk. Musk has stated that roughly 10 billion miles of training data may be needed to achieve safe unsupervised self-driving at scale, citing the “long tail” of rare but complex driving situations that must be learned through experience.
The growth curve of FSD Supervised’s cumulative miles over the past five years has been notable.
As noted in data shared by Tesla watcher Sawyer Merritt, annual FSD (Supervised) miles have increased from roughly 6 million in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. In just the first 50 days of 2026, Tesla owners logged another 1 billion miles.
At the current pace, the fleet is trending towards hitting about 10 billion FSD Supervised miles this year. The increase has been driven by Tesla’s growing vehicle fleet, periodic free trials, and expanding Robotaxi operations, among others.
With the fleet now past 8.4 billion cumulative miles, Tesla’s supervised system is approaching that threshold, even as regulatory approval for fully unsupervised deployment remains subject to further validation and oversight.
Elon Musk
Elon Musk fires back after Wikipedia co-founder claims neutrality and dubs Grokipedia “ridiculous”
Musk’s response to Wales’ comments, which were posted on social media platform X, was short and direct: “Famous last words.”
Elon Musk fired back at Wikipedia co-founder Jimmy Wales after the longtime online encyclopedia leader dismissed xAI’s new AI-powered alternative, Grokipedia, as a “ridiculous” idea that is bound to fail.
Musk’s response to Wales’ comments, which were posted on social media platform X, was short and direct: “Famous last words.”
Wales made the comments while answering questions about Wikipedia’s neutrality. According to Wales, Wikipedia prides itself on neutrality.
“One of our core values at Wikipedia is neutrality. A neutral point of view is non-negotiable. It’s in the community, unquestioned… The idea that we’ve become somehow ‘Wokepidea’ is just not true,” Wales said.
When asked about potential competition from Grokipedia, Wales downplayed the situation. “There is no competition. I don’t know if anyone uses Grokipedia. I think it is a ridiculous idea that will never work,” Wales wrote.
After Grokipedia went live, Larry Sanger, also a co-founder of Wikipedia, wrote on X that his initial impression of the AI-powered Wikipedia alternative was “very OK.”
“My initial impression, looking at my own article and poking around here and there, is that Grokipedia is very OK. The jury’s still out as to whether it’s actually better than Wikipedia. But at this point I would have to say ‘maybe!’” Sanger stated.
Musk responded to Sanger’s assessment by saying it was “accurate.” In a separate post, he added that even in its V0.1 form, Grokipedia was already better than Wikipedia.
During a past appearance on the Tucker Carlson Show, Sanger argued that Wikipedia has drifted from its original vision, citing concerns about how its “Reliable sources/Perennial sources” framework categorizes publications by perceived credibility. As per Sanger, Wikipedia’s “Reliable sources/Perennial sources” list leans heavily left, with conservative publications getting effectively blacklisted in favor of their more liberal counterparts.
As of writing, Grokipedia has reportedly surpassed 80% of English Wikipedia’s article count.