The Insurance Institute for Highway Safety (IIHS) tested Tesla Autopilot safeguards and found that drivers are pretty quick to adapt to the windows of opportunity the suite gives after warning them to pay attention.
The IIHS study sought to determine whether partially automated driving systems and their safeguards increase driver attentiveness. With the rollout of more advanced driver assistance systems (ADAS) and semi-autonomous driving functionalities, the goal is to increase safety.
However, these suites still require the driver to pay attention and be aware of any potential opportunity to take over if needed. These driving systems and features are designed to increase safety but still require the driver’s full attention, hence their semi-autonomous label.
Credit: Tesla
For the study, the IIHS tested both Tesla Autopilot safeguards and those available in Volvo’s Pilot Assist.
The study gave 14 drivers a month with a 2020 Tesla Model 3 and required them to travel on Autopilot, when available, over one month. The IIHS wanted to see how drivers behaved leading up to, during, and after attention reminders prompted by a lack of focus on their end.
The Autopilot study found that drivers could learn safeguard sequences and identify “windows of opportunity” to perform non-driving-related tasks. These vehicles still utilized an Autopilot nag and a torque sensor to monitor whether the driver was paying attention. Failure to keep hands on the steering wheel would result in attention reminders.
Failure to change after the reminders would result in suspension of the Autopilot system, commonly referred to as “Autopilot jail.”
The study found:
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“In total, the volunteers drove a little more than 12,000 miles with Autopilot engaged. During that time, they triggered 3,858 attention-related warnings from the partial automation system. About half of those alerts occurred when they had at least one hand on the steering wheel but were apparently not moving it enough to satisfy the torque sensor.”
Most warnings did not go past the initial reminder, and only 72 instances resulted in the driver not responding fast enough to prevent the alerts from escalating.
The study found that while initial warnings increased by 26 percent over the first four weeks, showing drivers were prone to expect it, escalations fell by 64 percent, meaning they did not allow the system to continue warning them.
However, this does not mean that non-driving secondary activities stopped after the first warning. Instead, the study showed something interesting:
“The researchers found that the drivers did nondriving secondary activities, looked away from the road, and had both hands off the wheel more often during the alerts and in the 10 seconds before and after them as they learned how the attention reminders worked. The longer they used the system, the less time it took them to take their hands off the wheel again once the alerts stopped.”
The IIHS admits that the safety impact of the change is hard to measure. While the agency noted that some research shows the longer a driver allows their attention to wander, the more likely they will be involved in an accident, the study also said that “even short lapses of attention become so frequent that the periods of supposed engagement between them have little value.”
The study also said the safeguards can be beneficial to behavior immediately and in the longer term, and other patterns showed potentially unintended consequences:
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“The current study has shown that driver interactions with partial automation are dynamic. Some of the changes we observed indicate that system safeguards can beneficially shape behavior both immediately and in the longer term, whereas other patterns revealed potentially unintended consequences. It is important to note that these findings are likely not unique to Tesla’s Autopilot, as many systems on the market have overtly similar safeguard designs. As such, some observations from this study maybe relevant to other driver assistance technology that still requires the driver to be engaged in the driving task.”
IIHS Senior Research Scientist Alexandra Mueller, who led the study, said:
“These results show that escalating, multimodal attention reminders are very effective in getting drivers to change their behavior. However, better safeguards are needed to ensure that the behavior change actually translates to more attentive driving.”
While this study provides evidence that perhaps better safeguards are needed, it is important to note that Tesla has upgraded the in-cabin camera to monitor driver attentiveness.
Tesla activates cabin-facing camera in bid to improve vehicle safety
Additionally, many cars are on the road without these driver assistance and safety features.
Distracted driving is going to occur whether a vehicle is equipped with modern technology or not.
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Tesla and other automakers have brought their newest vehicles up to speed in the fight against distracted driving, and perhaps this study showed that warnings could and should come at varying rates to prevent anticipation from drivers.
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Elon Musk told The Economist that artificial intelligence will likely surpass the combined intelligence of every human on Earth within about five years, and that humans may not remain in charge once that happens. In a wide-ranging interview with editor-in-chief Zanny Minton Beddoes, recorded at Giga Texas for the outlet’s Insider series, Musk compared the widening gap between AI and human intelligence to the gap between humans and chimpanzees.
“It’s hard to imagine that the chimpanzee would be in charge,” he said, addressing what happens to human authority once AI moves far beyond us.
Elon Musk reiterates his most optimistic prediction yet with “UHI” forecast
Musk’s timeline stretches out from there. Five years for AI to out-think humanity combined, ten years before humans lose meaningful control, and by 2036, he says, money itself may stop mattering.
Musk notes that if robots and AI produce more goods and services than people could ever consume, currency loses its purpose. He told Beddoes that governments could respond with direct payments, what he called “universal high income,” a term he first used in an X post last August describing a future where “everyone will have the best medical care, food, home, transport and everything else.”
There will be universal high income (not merely basic income).
Everyone will have the best medical care, food, home, transport and everything else.
Sustainable abundance.
-— Elon Musk (@elonmusk) August 24, 2025
He also floated a more surprising prediction that deflation, and not inflation, would become the bigger economic problem, since expanding the supply of goods and services faster than the money supply grows would push prices down rather than up.
None of this is new territory for Musk, who has spent years describing an “age of abundance” built on Optimus and autonomous vehicles. What’s notable is the timing. The interview landed the same week Tesla shares dropped roughly 19 percent following a second quarter earnings report that beat on revenue but missed badly on profit, and as SpaceX stock continues to slide from its post-IPO peak.
Musk’s own net worth has fallen close to $700 billion since mid-June, according to the Bloomberg Billionaires Index, even as he describes a future where personal wealth stops being the point.
Musk did not dodge the risk side of the equation either. He put the odds of AI contributing to human extinction somewhere in the 10 to 20 percent range, then arrived at what he called his “philosophical conclusion” since the technology cannot realistically be stopped and the arguably better response is to keep building it and hope the outcome leans toward abundance rather than catastrophe. “I’ve gone from exhilaration to terror regarding AI,” he told Beddoes, “even intraday.”
Tesla is adding a new “Traction Control Modes” feature to its cars for better handling in any conditions. These features will roll out to the Model 3 and Model Y, the two vehicles in Tesla’s lineup that typically do not have drive modes for various conditions.
Tesla did include this in the Model S and Model X, as well as the Cybertruck.
The new feature will roll out with the 2026 Summer Update, which Tesla announced last week and subsequently started rolling out to some owners today. The Summer Update is the latest iteration of the usual four seasonal releases the company rolls out throughout the year. These releases typically feature some owner-requested features, as well as improvements to things like the Full Self-Driving suite.
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
This release is no different. Among the changes are improvements to Navigation, new customization options with wraps and how they can be shared and stored, more functionality with the Tesla smartphone app, and new gamification with self-driving.
However, Tesla announced today that it was adding another feature to the Summer Update. Traction Control Modes will now be available with the release
Tesla describes them:
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“Choose from three updated Traction Control Modes: Auto for normal driving conditions, Slippery Surface for icy or wet roads, Stuck Assist when stuck in snow, mud, or sand. The mode resets to Auto at the start of each drive. To select, go to Controls > Dynamics > Traction Control Mode.”
Tesla’s 2026 Summer Update also includes new Traction Control Modes
📸: @PatchesHQ https://t.co/N9cD2lGP14 pic.twitter.com/ogLC5ROIgc
— TESLARATI (@Teslarati) July 26, 2026
The use of these modes will help improve a Tesla’s overall performance in less-than-ideal conditions. Typically, these traction control modes monitor wheel speed through sensors and track engine power to adjust responsiveness in various conditions.
These drive modes are not an ultimate solution to all driving conditions; just because there is a “Stuck Assist,” doesn’t mean your Tesla will dig itself out of a foot-and-a-half trench during a blizzard. It is important to remember that some of these scenarios also require some assistance from the driver. For example, driving in sand requires tires to be aired down significantly to increase traction and control.
However, this will be a welcome addition for those who use the Full Self-Driving suite and might not be convinced of its performance in adverse conditions. Some of us prefer to be in control in rain, snow, or ice, which is totally understandable. However, adjusting the Traction Control Mode while utilizing FSD in snow, rain, or ice could increase confidence and overall experience.
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Tesla’s Summer Update is already rolling out to some owners, so it should be making its way to most of the fleet over the next several weeks. The Spring Update rolled out at a very conservative pace, so if you don’t have it by the end of August, don’t be too upset. It might just be Tesla’s method.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
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Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
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Elon Musk explains what happens when AI outsmarts all of us
Tesla adds new ‘Traction Control Modes’ for better handling in any conditions
