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Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study
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.
“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.
IIHS Level 2 Autonomy Report by Simon Alvarez on Scribd
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Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.
Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.
@wholemars Just discussions, but something may come of it
— Elon Musk (@elonmusk) October 3, 2026
The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.
Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.
Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.
Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.
Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.
Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.
If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.
Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.
An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.
Tesla wins FCC approval for wireless Cybercab charging system
The Tesla employee would walk around and plug each car in, adjusting the parking if needed:
So look at what I found. This is how Tesla charges unsupervised robotaxis at a public supercharger. Here is a driverless Cybercab showing up with no one in it. There are 9 other Model Ys that showed up too. A Tesla employee is walking around and plugging each of them in. She also moves the cars if they are not positioned well enough to charge. I love this process. One person charges multiple robotaxis at once
— Abhimanyu Yadav (@WorldlyReviewer) October 3, 2026
It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.
On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.
However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.
@Teslarati Sheer magnitude of the entire production system is hard to appreciate. Almost every element of production is >75% automated. Only wire harnesses & general assembly, which are <10% of production costs, are primarily manual.
— Elon Musk (@elonmusk) October 12, 2020
For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.
Tesla is expanding its Robotaxi service hours by pushing the time back by one hour, keeping the ride-hailing service operational until 11 p.m., one hour later than previously.
CEO Elon Musk confirmed the change and offered a specific reason the expansion has been gradual: the system still needs to reliably avoid small pets that are difficult to see after dark, as they commonly blend into the color of the road, especially when they’re grey.
The latest adjustment restores only a fraction of the operating window the service once held. When paid Robotaxi rides began in Austin on June 22, 2025, vehicles ran from 6 a.m. to midnight.
In September 2025, Tesla lengthened the day to a 2 a.m. close, producing a 20-hour window that stayed in place for most of the following year. By early August of this year, the cutoff had already been pulled back; an August 26 update formalized hours of 6 a.m. to 10 p.m. across Austin and several other markets.
The October move to 11 p.m. therefore leaves the Austin day one hour shorter than the original launch schedule and three hours shorter than the 2025 peak.
Musk addressed the constraint directly after the announcement. “The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night,” he wrote. “Literally trying to avoid grey kittens on grey tarmac in the dark.”
Robotaxi operating hours moved from 10pm to 11pm.
The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night. Literally trying to avoid grey kittens on grey tarmac in the dark.
— Elon Musk (@elonmusk) October 3, 2026
The example points to a low-contrast perception problem in which a small animal can blend into the road surface under limited lighting.
Tesla’s vehicles rely on cameras and neural-network processing rather than lidar; Musk has previously argued that advanced vision software can extract useful information even in low light by analyzing photon counts, but the pet-detection case remains the stated limiter in later hours.
The modest schedule change arrives alongside faster growth in the purpose-built Cybercab fleet. Texas registration data tracked by observers showed the Austin Cybercab count rising sharply in recent weeks, reaching 169 vehicles after more than 100 were added in a short span.
Tesla has indicated that a broader shift toward 24-hour operation is tied to the upcoming FSD v15 software release expected this month on Robotaxi vehicles. Until that capability is validated for the edge cases Musk described, the company continues to add service time incrementally rather than jumping straight to overnight coverage.
The one-hour extension gives Austin riders a later option for evening trips while the underlying detection work continues.
Elon Musk teases TSMC as potential Terafab partner
Tesla reveals early Robotaxi charging strategy, showing scrappy DNA
