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:
“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:
“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.
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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Investor's Corner
xAI targets $5 billion debt offering to fuel company goals
Elon Musk’s xAI is targeting a $5B debt raise, led by Morgan Stanley, to scale its artificial intelligence efforts.
xAI’s $5 billion debt offering, marketed by Morgan Stanley, underscores Elon Musk’s ambitious plans to expand the artificial intelligence venture. The xAI package comprises bonds and two loans, highlighting the company’s strategic push to fuel its artificial intelligence development.
Last week, Morgan Stanley began pitching a floating-rate term loan B at 97 cents on the dollar with a variable interest rate of 700 basis points over the SOFR benchmark, one source said. A second option offers a fixed-rate loan and bonds at 12%, with terms contingent on investor appetite. This “best efforts” transaction, where the debt size hinges on demand, reflects cautious lending in an uncertain economic climate.
According to Reuters sources, Morgan Stanley will not guarantee the issue volume or commit its own capital in the xAI deal, marking a shift from past commitments. The change in approach stems from lessons learned during Musk’s 2022 X acquisition when Morgan Stanley and six other banks held $13 billion in debt for over two years.
Morgan Stanley and the six other banks backing Musk’s X acquisition could only dispose of that debt earlier this year. They capitalized on X’s improved operating performance over the previous two quarters as traffic on the platform increased engagement around the U.S. presidential elections. This time, Morgan Stanley’s prudent strategy mitigates similar risks.
Beyond debt, xAI is in talks to raise $20 billion in equity, potentially valuing the company between $120 billion and $200 billion, sources said. In April, Musk hinted at a significant valuation adjustment for xAI, stating he was looking to put a “proper value” on xAI during an investor call.
As xAI pursues this $5 billion debt offering, its financial strategy positions it to lead the AI revolution, blending innovation with market opportunity.
News
SpaceX to debut new Dragon capsule in Axiom Space launch
Ax-4’s launch marks the debut of SpaceX’s latest Crew Dragon and pushes Axiom closer to building its own space station.
Axiom Space’s Ax-4 mission targets the International Space Station (ISS) with a new SpaceX Crew Dragon capsule.
The Axiom team will launch a new SpaceX Dragon capsule atop a Falcon 9 rocket from NASA’s Kennedy Space Center in Florida on Wednesday at 8:00 a.m. EDT (1200 GMT). The Ax-4 mission launch was initially set for Tuesday, June 10, but was delayed by one day due to expected high winds.
As Axiom Space’s fourth crewed mission to the ISS, Ax-4 marks the debut of an updated SpaceX Crew Dragon capsule. “This is the first flight for this Dragon capsule, and it’s carrying an international crew—a perfect debut. We’ve upgraded storage, propulsion components, and the seat lash design for improved reliability and reuse,” said William Gerstenmaier, SpaceX’s vice president of build and flight reliability.
Axiom Space is a Houston-based private space infrastructure company. It has been launching private astronauts to the ISS for research and training since 2022, building expertise for its future station. With NASA planning to decommission the ISS by 2030, Axiom has laid the groundwork for the Axiom Station, the world’s first commercial space station. The company has already begun construction on its ISS replacement.
The Ax-4 mission’s research, spanning biological, life, and material sciences and Earth observation, will support this ambitious goal. Contributions from 31 countries underscore the mission’s global scope. The four-person crew will launch from Launch Complex 39A, embarking on a 14-day mission to conduct approximately 60 scientific studies.
“The AX-4 crew represents the very best of international collaboration, dedication, and human potential. Over the past 10 months, these astronauts have trained with focus and determination, each of them exceeding the required thresholds to ensure mission safety, scientific rigor, and operational excellence,” said Allen Flynt, Axiom Space’s chief of mission services.
The Ax-4 mission highlights Axiom’s commitment to advancing commercial space exploration. By leveraging SpaceX’s Dragon capsule and conducting diverse scientific experiments, Axiom is paving the way for its Axiom Station. This mission not only strengthens international collaborations but also positions Axiom as a leader in the evolving landscape of private space infrastructure.
News
Tesla named official AV operator in Austin ahead of robotaxi launch
Tesla robotaxis could begin operating around Austin any day now, as echoed by an update to the city’s website.
Just as Tesla prepares to launch its own commercial robotaxi services in Austin, Texas this month, the company has now appeared on the state’s website as an official operator of autonomous vehicles (AVs).
As of Monday, Tesla has been listed as an AV operator on Austin’s official Department of Motor Vehicles (DMV) site, ahead of the company’s expected launch of the long-awaited service sometime this month. The news, which X user Tesla Yoda first spotted, precedes some reports suggesting the robotaxi service could launch in the coming days, and it comes as the city becomes an increasingly competitive stomping ground for the emerging technology.
Although Tesla has been included on the list, the website says that Tesla is still in the testing phase, alongside most of the other AV operators in the city. At this time, Alphabet-owned robotaxi company Waymo is the only operator listed as being in the deployment phase, while Hyundai-owned company Motional is listed as being in the mapping phase.
Tesla is set to initially deploy the service as a limited pilot program using the company’s existing Model Y vehicles, and it will start by testing them in the safest areas of the city within geo-mapped boundaries as extra safety precautions upon launch.
🚨 Elon says by end of June, the public should be ready to take a Robotaxi in Austin without an invitation
Initial launch will be small and riders will be picked by Tesla https://t.co/zEQOkXnE6s
— TESLARATI (@Teslarati) May 29, 2025
Below you can see the full list of AV operators on the Austin DMV website at the time of writing, including both the Alphabet-owned Waymo and the Amazon-run Zoox.
Current list of AV operators in Austin
- ADMT
- Phase: testing
- Parent company: VW
- AVRide
- Phase: testing
- Parent company: AVRide Inc
- Motional
- Phase: mapping
- Parent company: Hyundai
- Waymo
- Phase: deployment
- Parent company: Alphabet (Google)
- Tesla
- Phase: testing
- Parent company: Tesla
- Zoox
- Phase: testing
- Parent company: Amazon
READ MORE ON AUTONOMOUS VEHICLES: Elon Musk just revealed more about Tesla’s June Robotaxi launch
Tesla’s Austin robotaxi launch, Full Self-Driving, and other AV companies
The news follows a report from Bloomberg a few weeks ago saying that Tesla was considering a launch date of June 12 for the service, though the validity of that report is still unclear. Additionally, Tesla could still change its plans on a launch date, though the company’s inclusion on the Austin DMV AV operators list appears to be a good sign either way.
The company has also been running internal pilot programs for the robotaxi service in Austin and around the Bay Area, California, with around 300 test operators operating the vehicles in the Texas city since at least April. Last fall, CEO Elon Musk also said that employees had already been piloting a ride-hailing program around the Bay.
Tesla has long touted its Full Self-Driving (FSD) program as the solution to autonomy, with the system utilizing cameras and real-time driver footage to train its AI neural network on how to drive. By comparison, most other companies utilize cameras and radar systems together, while relying on geo-mapped systems to determine where the robotaxi can operate.
Waymo launched driverless ride-hailing services in Austin through a partnership with Uber, though the company has also been running paid robotaxi rides in various parts of California since last year through its Waymo One app. Other companies such as the Amazon-owned firm Zoox and the Hyundai-led company Motional are also preparing to deploy services in Austin and other U.S. cities.
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Tesla named official AV operator in Austin ahead of robotaxi launch
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