The Insurance Institute for Highway Safety (IIHS) has released a study showing that Advanced Driver Assistance System (ADAS) safeguards are lacking across brands, with most of the 14 partially automated systems tested receiving “marginal” or “poor” ratings.
In a press release shared on Tuesday, the IIHS released early results from the new ratings system, noting that partial automation systems from Tesla, Ford, Nissan, and most other automakers that were tested were lacking in multiple categories. The study offered ratings of good, acceptable, marginal or poor, both overall and in specific categories.
Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study
“We evaluated partial automation systems from BMW, Ford, General Motors, Genesis, Lexus, Mercedes-Benz, Nissan, Tesla and Volvo,” said David Harkey, IIHS President. “Most of them don’t include adequate measures to prevent misuse and keep drivers from losing focus on what’s happening on the road.”
Of the 14 partially automated systems tested thus far, only one system from any automaker was deemed acceptable, while two were rated marginal, 11 were rated poor, and none were rated good. The categories that were individually rated for each system included driver monitoring, attention reminders, emergency procedures, lane change, adaptive cruise control (ACC) resume, cooperative steering, and safety features.
The IIHS gave both Tesla’s Autopilot and Full Self-Driving (FSD) beta systems poor ratings overall, while Volvo Pilot Assist, Nissan ProPilot, Mercedes Active Distance Assist Distronic, Ford BlueCruise and several others were rated poor. Driver monitoring and attention reminders were some of the lower-rated categories across most brands, highlighting the ability for drivers to trick systems into thinking they’re being fully aware.
The research non-profit also noted that there was “little” evidence to support that partially automated systems like these are actually at the point that they currently make driving safer—though most companies target safety as a number one goal with ADAS programs.
“Some drivers may feel that partial automation makes long drives easier, but there is little evidence it makes driving safer,” Harkey said. “As many high-profile crashes have illustrated, it can introduce new risks when systems lack the appropriate safeguards.”
The top-rated systems in the index included Lexus Teammate with Advanced Drive with an acceptable rating, along with the GM Super Cruise and Nissan ProPilot Assist with Navi-Link. Every other system was rated poor overall.
You can see the full category breakdowns from tests of Tesla’s Autopilot and FSD beta systems from the IIHS below, along with those of a few others.
Credit: IIHS Credit: IIHS Credit: IIHS Credit: IIHS Credit: IIHS
“These results are worrying, considering how quickly vehicles with these partial automation systems are hitting our roadways,” Harkey added.
“But there’s a silver lining if you look at the performance of the group as a whole. No single system did well across the board, but in each category at least one system performed well. That means the fixes are readily available and, in some cases, may be accomplished with nothing more than a simple software update.”
Below you can see overall ratings for each system tested.
| System Tested | Vehicle | Overall Rating |
|---|---|---|
|
Lexus Teammate with Advanced Drive |
2022-2024 Lexus LS |
Acceptable |
|
GM Super Cruise |
2023-2024 GMC Sierra |
Marginal |
|
Nissan ProPILOT Assist with Navi-Link |
2023-2024 Nissan Ariya |
Marginal |
|
BMW Active Driving Assistant Pro |
2023-2024 BMW X1 |
Poor |
|
Ford BlueCruise |
2021-2024 Ford Mustang Mach-E |
Poor |
|
Ford Adaptive Cruise Control with Stop & Go and Lane Centering Assist |
2021-2024 Ford Mustang Mach-E |
Poor |
|
Genesis Highway Driving Assist 2 |
2023-2024 Genesis G90 |
Poor |
|
Genesis Smart Cruise Control/Lane Following Assist |
2023-2024 Genesis G90 |
Poor |
|
Lexus Dynamic Radar Cruise Control with Lane Tracing Assist |
2022-2024 Lexus LS |
Poor |
|
Mercedes-Benz Active Distance Assist DISTRONIC with Active Steering Assist |
2022-2023 Mercedes-Benz C-Class |
Poor |
|
Nissan ProPILOT Assist 2.0 |
2023-2024 Nissan Ariya |
Poor |
|
Tesla Autopilot version 2023.7.10 |
2021-2023 Tesla Model 3 |
Poor |
|
Tesla Full Self-Driving beta version 2023.7.10 |
2021-2023 Tesla Model 3 |
Poor |
|
Volvo Pilot Assist |
2022-2024 Volvo S90 |
Poor |
You can view the full list of rankings with individual category rankings from the IIHS here, or view the institute’s test protocol and rating guidelines here. Additionally, see the institute’s press release detailing the rating system’s early results here.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla piggybacks recent Supercharger feature with update that takes it further
