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Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study

Credit: IIHS

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The Insurance Institute for Highway Safety (IIHS) recently published the results of a rather unique real-world driver attentiveness test. Using a 2019 Mercedes-Benz C300 equipped with a Level 2 Advanced Driver Assistance System (ADAS) and a giant pink teddy bear dressed in a yellow high-visibility jacket, the agency was able to roughly determine if systems like GM’s Super Cruise and Tesla’s Autopilot make drivers less attentive on the road.

The participants of the study included both drivers who were familiar with Level 2 driver-assist systems and drivers who had little to no experience with ADAS. The IIHS tasked those familiar with Level 2 systems to drive with the Mercedes-Benz C300’s ADAS activated. A group of drivers unfamiliar with ADAS was also tasked to drive with the system engaged. Lastly, a group of drivers who were unfamiliar with the vehicle’s Level 2 system was tasked to drive without the advanced driver-assist feature activated. 

To test the drivers’ situational awareness, the IIHS had an SUV with a giant pink teddy bear strapped to its back pass the Mercedes-Benz C300 three times as the participants drove over a stretch of Interstate 70 in Maryland for about an hour. Each time, the SUV with the massive stuffed bear stayed in front of the drivers for about 30 seconds. Researchers then measured the participants’ reactions after their driving session, while asking if they saw anything odd during their hour-long drive. 

Interestingly enough, nearly all of the drivers who were experienced with Level 2 systems noticed the giant pink bear. The same group also identified the number of times the bear overtook the C300 during the hour-long test. Drivers who were inexperienced with Level 2 systems didn’t perform as well, with a good number of inexperienced drivers who used the C300’s ADAS failing to remember the giant pink teddy bear at all. 

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“Our data suggest that Level 2 driving automation has the potential to improve a driver’s situational awareness (SA) once he or she is familiar with the technology, although it does not guarantee it. Unfamiliar drivers, however, appear to have even more difficulty maintaining SA when using the system than when driving without it. On average, participants who were familiar with Level 2 systems showed the highest degree of SA about the bear when using the system, unfamiliar participants who drove with the system off had moderate SA, and unfamiliar participants who drove with the system on demonstrated the lowest SA,” the IIHS wrote. 

Videos from inside the C300 showed that the drivers who correctly identified the giant stuffed bear actually spent more time scanning the road ahead of them. These drivers, particularly those familiar with Level 2 systems, even tended to look out of the car’s side windows. On the other hand, those who missed the bear spent a considerable amount of time just focusing on the road straight ahead. Drivers who failed to spot the bear even once spent considerable time looking at various aspects of the C300’s dash. 

Considering the results of the IIHS’ study, it appears that some experience with Level 2 systems would be best for drivers before they are allowed access to more advanced driver-assist systems such as Tesla’s Full Self-Driving Beta, which is poised to be rolled out to a greater number of electric car owners in a couple of weeks. Situational awareness, after all, is critical when driving, and having drivers nervously fiddling around their vehicles’ features while operating a Level 2 system may present some risks. That being said, the IIHS’ results do go in line with one of Elon Musk’s more notable points–systems like Autopilot could actually perform as a formidable safety feature, provided that they are used responsibly and properly, of course. 

The IIHS’ situational awareness study could be accessed below. 

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IIHS Level 2 Autonomy Report by Simon Alvarez on Scribd

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Elon Musk reveals shocking Tesla Optimus patent detail

What looked promising on paper and in simulations failed to deliver the reliability required for a robot expected to handle delicate tasks like folding laundry, assembling electronics, or assisting in factories and homes.

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Credit: Tesla

Elon Musk revealed a shocking detail on the Tesla Optimus patent that was revealed last week. Despite it being made public for the first time, Musk said the company has already moved on from the design, an incredible truth about the development of new technology: things move fast.

Musk dropped a bombshell about the Tesla Optimus humanoid robot hand patent that was released last week. Musk, candidly replying to a post late at night on X, revealed that what is a new technology to many fans and insiders is actually old news to those developing the tech directly.

“We already changed the design,” Musk said. “This one didn’t actually work.”

Patents, after all, are often viewed as blueprints for future products. Yet Musk revealed that the rolling contact mechanism—intended to provide smooth, low-friction articulation in the fingers—had already been scrapped after real-world testing exposed its shortcomings.

What looked promising on paper and in simulations failed to deliver the reliability required for a robot expected to handle delicate tasks like folding laundry, assembling electronics, or assisting in factories and homes.

The hand has been one of the biggest challenges for Tesla engineers since Optimus development started years ago. Musk has said that there is not enough recognition for how incredible and useful the human hand is, and designing one for a humanoid robot has been the biggest challenge of all.

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Tesla is stumped on how to engineer this Optimus part, but they’re close

This moment underscores the persistent engineering hurdles in achieving reliable humanoid hand dexterity. Human fingers are marvels of evolution: 27 bones, intricate tendons, ligaments, and a network of sensors working in perfect harmony. Replicating that in metal and silicon is extraordinarily difficult.

Rolling contacts promised reduced wear and precise motion, but testing likely revealed issues with durability under repeated stress, grip stability on varied surfaces, or the micro-precision needed for fine motor skills.

These aren’t minor tweaks, but instead they represent fundamental challenges that have plagued robotics teams for decades. Even advanced competitors struggle here—hands remain the Achilles’ heel of most humanoids because the margin for error is razor-thin.

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A fraction of a millimeter off, and a robot drops a glass or fails to button a shirt.

What makes Musk’s reply remarkable is how it signals Tesla’s direct communication style on prototype limitations. While many companies guard failures behind glossy marketing and vague timelines, Tesla openly shares setbacks.

Musk was forthcoming about the failure of this recent design. This transparency builds trust with investors, engineers, and fans. It shows Tesla treats Optimus development like true science: rapid iteration, rigorous testing, and zero tolerance for hype that doesn’t match reality.

The disclosure from Musk also highlights Tesla’s blistering pace of development. By the time the patents are published, which is often over a year after the initial filing, the technology has already evolved.

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Optimus is far from a static product, and it’s a living project advancing weekly.

In the high-stakes race for general-purpose robots, Tesla’s approach stands out. Admitting a finger-joint design “didn’t actually work” isn’t a weakness—it’s confidence.

True innovation demands confronting failure head-on, and Musk just reminded the world that Optimus is being engineered that way. The next version of those hands is already in testing, and it will be better because Tesla isn’t afraid to say what didn’t work.

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Tesla is sending its humanoid Optimus robot to the Boston Marathon

Tesla’s Optimus robot is heading to the Boston Marathon finish line

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Tesla’s Optimus humanoid robot will be stationed at the Tesla showroom at 888 Boylston Street in Boston, right along the final stretch of the Boston Marathon today, ready to cheer on runners and pose for photos with spectators.

According to a Tesla email shared by content creator Sawyer Merritt on X, Optimus will be at the Boston Boylston Street showroom on April 20, coinciding with Marathon Monday weekend. The Boston Marathon finishes on Boylston Street, and the surrounding area draws hundreds of thousands of spectators along with international broadcast coverage. Placing Optimus there puts it in front of a massive public audience at zero advertising cost.

The Tesla showroom is at 888 Boylston Street, between Gloucester Street and Fairfield Street. The final mile of the marathon runs directly along Boylston Street, with runners passing the big stores before reaching the finish line at Copley Square.

Optimus was first announced at Tesla’s AI Day event on August 19, 2021, when Elon Musk presented a vision for a general-purpose robot designed to take on dangerous, repetitive, and unwanted tasks. In March 2026, Optimus appeared at the Appliance and Electronics World Expo in Shanghai, where on-site staff stated that mass production of the robot could begin by the end of 2026. Before that, it showed up at the Tesla Hollywood Diner opening in July 2025 and at a Miami showroom event in December 2025.

Tesla’s well-calculated display of Optimus gives the public a low-pressure first encounter with a robot that Tesla is preparing  to soon deploy at scale. The company has previously indicated plans to manufacture Optimus robots at its Fremont facility at up to 1 million units annually, with an Optimus production line at Gigafactory Texas targeting 10 million units per year.

Tesla showcases Optimus humanoid robot at AWE 2026 in Shanghai

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Musk has said that Optimus “has the potential to be more significant than the vehicle business over time,” and separately that roughly 80 percent of Tesla’s future value will come from the robot program. Whether that holds depends on production execution. For now, Boston gets a preview of what that future looks like, standing at the finish line on Boylston Street while 32,000 runners pass by.

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Tesla expands Unsupervised Robotaxi service to two new cities

This expansion builds directly on Tesla’s existing operations. Robotaxi has been ramping unsupervised rides in Austin for months and maintains activity in the San Francisco Bay Area.

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Credit: Tesla

Tesla has taken a major step forward in its autonomous ride-hailing ambitions.

On April 18, the company’s official Robotaxi account announced that Robotaxi service is now rolling out in Dallas and Houston, Texas. The update signals the rapid scaling of unsupervised autonomous operations in the Lone Star State.

The announcement includes a compelling 14-second video captured from inside a Model Y. Shot from the passenger perspective, the footage shows the vehicle navigating suburban roads in both cities with zero driver intervention, with no Safety Monitor to be seen.

Tesla also shared geofence maps highlighting the initial service areas: a compact zone in Houston covering parts of Willowbrook and Jersey Village, and a similarly defined area in Dallas near Highland Park and central neighborhoods.

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This expansion builds directly on Tesla’s existing operations. Robotaxi has been ramping unsupervised rides in Austin for months and maintains activity in the San Francisco Bay Area.

With Dallas and Houston now live, Texas hosts three active hubs—an impressive concentration that triples the company’s Lone Star footprint in just weeks. The move aligns with Tesla’s Q4 2025 earnings guidance, which outlined a broader H1 2026 rollout across seven U.S. cities, including Phoenix, Miami, Orlando, Tampa, and Las Vegas.

Texas offers favorable regulations, high ride-share demand, and relatively straightforward suburban-to-urban driving patterns ideal for early autonomous scaling. While initial geofences appear modest—roughly 25 square miles per city—Tesla has historically expanded these zones quickly as it gathers real-world data.

Tesla confirms Robotaxi expansion plans with new cities and aggressive timeline

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Unsupervised operation marks a critical milestone: passengers can summon, ride, and exit without safety drivers, a leap beyond many competitors still requiring human oversight.

For Tesla, the implications are significant. Successful scaling in major metros could accelerate the transition to a fully driverless fleet, unlocking new revenue streams and validating years of Full Self-Driving investment.

Riders gain convenient, potentially lower-cost mobility, while the company edges closer to Elon Musk’s vision of Robotaxis transforming urban transport.

As Tesla pushes into more cities this year, today’s launch in Dallas and Houston underscores its momentum. Hopefully, Tesla will be able to expand unsupervised rides to another U.S. state soon, which will mark yet another chapter in this short-but-encouraging Robotaxi story.

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