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OPINION: Tesla’s ‘Safety Score’ Beta needs broader terms for factoring your score
Tesla’s “Safety Score” Beta is one of the most impressive ideas to improve driving safety, in my opinion. An article from Model 3 owner and Tesla enthusiast Nick Howard explained that Tesla is essentially gamifying the act of driving, encouraging owners to drive in a manner that would allow their scores to be higher. If you know anything about the Tesla community, you know that it is filled with die-hard fans who are satirically battling it out for the elusive 100 scores. While Tesla has outlined the ways that driving behaviors could affect the score for better or for worse, I believe that other instances may need to be outlined so owners are perfectly clear on how their score could be affected based on their hobbies or driving style. While I disagree with Consumer Reports’ assumption that the Safety Score is a bad idea (which, in reality, makes no real sense to me), I do believe that some owners are confused on what makes their score higher or lower, especially as many owners are attempting to enter the elusive Full Self-Driving Beta program.
If you’ve taken a peek at Tesla’s Support page that outlines the numerous factors that can affect a driver’s Safety Score, it seems pretty straightforward. There are cut and dry behaviors that tend to be recognized universally as “aggressive,” including tailgating, hard braking, and aggressive turning. Additionally, Forward Collision Warnings per 1,000 miles and forced Autopilot disengagements are also included in the behaviors that could affect your score, but these are exclusive to Tesla, of course, due to their use of Forward Collision Warnings and Autopilot disengagements.
Tesla introduces Safety Score (Beta) system that incentivizes safe driving
It’s very self-explanatory: Drive safely and receive a higher score. But are there not instances where things could get a tad confusing for some drivers, especially those with scores just below the perfect 100 threshold?
One example that I saw over the weekend was from Richard Marrero, a Tesla owner who was curious about taking his vehicle to the local racetrack. While Tesla owners are occasionally hitting the accelerator when a stoplight turns green, it may be understandable for Safety Scores to be affected. However, what if the nature of the driving occurs on a closed circuit? Marrero may drive like a saint on the road but might want to push his vehicle to the limit at a local dragstrip or raceway. After all, why have a high-performance car with face-melting acceleration if you can’t test it from time to time?
Does anyone know if taking my Tesla to a racetrack will hurt my safety score? @elonmusk @SawyerMerritt @DirtyTesla @tesla_raj @Teslarati
— Richard Marrero (@The_Richard_M) October 2, 2021
There are other examples that could affect a Safety Score that are technically out of the driver’s control. In some instances, it may be an action taken by the driver that is technically safer than other options, yet it could reduce the Safety Score. Tesla Joy, a Model 3 owner, encountered this predicament on October 1, according to a Tweet. Her Safety Score was reduced due to hard braking at a “quick changing yellow light.” I believe nearly everyone who has a driver’s license can attest that some stoplights are slightly more accelerated than others. Quick changing yellow lights are one of the most polarizing events in a daily drive. Some will tell you just to run through it, others will argue that the safer thing to do is just slow down and stop. Whichever way you choose to handle this scenario, you are likely to encounter someone who shares a point of view on how to handle the premature yellow light in a different manner.
Today I hard braked for 2 quick changing yellow lights & got dinged. I also sped up at another yellow light and didn’t get dinged but I felt more dangerous that way. Since Tesla car can see?, can hard braking at yellow light be exempt from penalty cuz it’s safer? ? @elonmusk
— Tesla Joy (@TeslaJoy) October 2, 2021
However, I don’t necessarily believe that there is a “wrong” way to handle it. While the right way to do it, according to my knowledge as a driver of over 11 years, would require you to slow down and come to a stop, especially since the yellow light is a key indicator of “slow down.” Tesla Joy did it as most Learner’s Permit booklets would describe, yet she was still docked points.
There are undoubtedly more examples of how Tesla could do a better job of explaining what actions are not favorable for the Safety Score system, and I would love to hear your thoughts or examples on things that have occurred that affected your score. Tesla did a wonderful job of outlining the most face-value actions that Safety Scores will be affected by, but there are other questions that need to be confronted so drivers are clear on what other things could hurt their scores. After all, the wider the FSD Beta testing group is, the more data Tesla will obtain through its Neural Network.
Don’t hesitate to contact us with tips! Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.com.
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:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
