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
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
