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OPINION: Tesla’s ‘Safety Score’ Beta needs broader terms for factoring your score

(Credit: Angel Wong/YouTube)

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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?

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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.

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.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Cybertruck

Tesla quietly made the Cybertruck even stronger

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Credit: Tesla

Tesla has continued to flex the strength, rigidity, and robustness of its all-electric pickup, the Cybertruck. In fact, since 2019, Cybertruck’s ability to avoid dents, dings, and even gunfire has been one of the main selling points Tesla has used to attract buyers who are looking for a vehicle that can handle the most intense challenges.

But that does not mean Tesla is not still actively trying to make it even better.

In a new hardware update, Tesla has decided to change the material of the Cybertruck’s underbody panels from aluminum to carbon fiber, a move that aims to not only increase pricing efficiency but also improve strength.

RELATED:

Tesla Cybertruck is officially the safest pickup, IIHS says

Cybertruck Lead Engineer Wes Morrill confirmed the change was made to the Cybertruck recently after it was spotted by Coleton Guerin of Out of Spec. This particular trim level was a Cyberbeast, but it is being applied to all trims to keep supply chain efficiency high and have less variance across trim levels.

Morrill said that Tesla tested different materials for the underbody panel protection, and carbon fiber performed better than aluminum, which is what the company was using since its first deliveries in 2023.

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Additionally, there are some efficiency improvements because Tesla can better form the areas around the bolts to keep underbody airflow cleaner than previously.

Carbon fiber is traditionally lighter and more durable than aluminum, which is why it is such a popular material among luxury automakers, and EV makers will utilize some of the materials around battery packs to save weight.

This is the first instance of Tesla utilizing carbon fiber on the Cybertruck’s exterior to help with overall performance and strength. As previously mentioned, Tesla used aluminum to protect the underside of the body, but it is pretty typical for the company to continue making engineering changes that will improve the car in the future.

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Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

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Credit: Teslarati

Tesla released Full Self-Driving version 14.3.7 yesterday, and after about 90 miles of testing today, it is evident there are some definite fixes from version 14.3.6, which I wrote about last week and called a regression.

Within the first 40 minutes of my drive on v14.3.7, it saved me from getting into an accident with an unaware Dodge Charger driver, and some of the things Tesla seemed to miss in v14.3.6 were definitely improved. All in all, the release so far has some really great performance, and I’m looking forward to testing it further.

For now, here’s everything I noticed with v14.3.7:

Overall Improvement

Just generally speaking from a ride perspective, this was a really great experience. A lot of the hesitancy I experienced on v14.3.6 was gone. There were no instances of brake-stabbing, wheel-jerking, or any uncertain or unconfident movements. It was void of anything that I felt made it timid with v14.3.6.

The one thing I do hope to see down the road is a smaller need to adjust Speed Profiles so often. Because Tesla calls FSD “Supervised,” I’m okay with needing to hit the scroll wheel a few times a drive.

However, I hope that things can be incrementally improved upon with speed. Sometimes it’s too fast; other times it’s too slow. It’s a difficult thing to hone in and refine, but I hope it eventually gets there.

I didn’t notice any significant left lane camping or any behaviors that were completely out of line. I am hopeful that this opinion does not change, but after driving a few days with this version and putting it in a variety of different situations, you are exposed to more behaviors, some of which are not necessarily what I’d prefer.

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The big things to notice, at least in my experience thus far, are that the major issues with previous versions — meaning the braking stabbing and wheel jerking — simply weren’t there. That’s enough to already consider this progress compared to .6.

Manual Signal Override is More Responsive

On .6, I had quite a few issues with FSD ignoring my manually input turn signals. If Tesla wants to call it “Supervised,” then the car should not ignore any input the driver gives. If I touch the accelerator on FSD, the car speeds up.

The car did a great job of obeying my turn signals when I wanted it to change lanes, which is welcome.

Parking Lot Performance

Before .6, I traditionally took over in nearly every parking lot my car entered, because I knew it would not park somewhere that I wanted, and usually, it was just a tad too timid in this setting.

The one bright spot of .6 was how well it handled parking lots. This continued with v14.3.7:

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I’m always really happy to see progress at all, but once parking preferences come to FSD, as long as this performance is still around, that could potentially be the biggest improvement I’ve seen in FSD in the year I’ve been using it personally on a daily basis.

Full Self-Driving Averts Disaster

A Dodge Charger changed into my lane without checking if I was there, running me off the road. FSD made the initial avoidance maneuver; I grabbed the wheel out of instinct, looked in my side mirror to ensure I had nobody following closely behind, hit the brake, and straightened the car back up to avoid a curb:

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There have been quite a few responses to this video stating that I should never have grabbed the wheel. To be honest, I really wish I had not done so, because I do believe FSD would have avoided any sort of collision with anything, including the car or the curb.

However, this was the first time I had ever been this close to being hit while using FSD. My natural reaction was to take over. I think if I had had something like this happen before, my reaction might have been different.

Hitting the brake avoided hitting the curb, while FSD swerved to avoid the car. My concern after the car was clear of my front end was the curb. All in all, I’m really happy with how things turned out, and I think anyone could be a critic of how I handled it. I only had a split second to really make a decision, and thankfully, any damage was avoided.

It is clear FSD managed to avoid the car coming down before I was able to. I truly credit FSD for avoiding the collision.

What Needs to Improve

Better Recognition of Potholes, Uneven Roads, Sharp Changes in Roadway/Bumps

On Friday, my Fianceè and I were in the car, and FSD was driving us. We crossed over a roadway that has a traffic light, and FSD was traveling at 40 MPH on Standard, 5 MPH over the speed limit. Everything was more than reasonable.

However, the road we were crossing at the light has a major bump both as you start and finish crossing it. Without a speed reduction, your car can go airborne. The Tesla did just this on Friday on v14.3.6; it was an uncomfortable bounce that pretty much confirmed I would not ever let FSD go over again unless we were sitting at that intersection when there is a red light.

I even tried scrolling down into Sloth quickly, but I ended up just taking over:

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A few people have said it remains related to the vision-based approach and its difficulty comprehending 3D. This is a huge issue because this can cause serious damage at certain speeds.

Navigation

Nothing new here. I still turn off “Online Routing” quite frequently to get the car to take logical routes from time to time.

Auto Wipers

Auto Wipers are just plain bad. I really hope Tesla just uses a rain sensor. I thought they had improved at one point, but I still get dry wipes, Speed 4 on a drizzle, and Speed 2 on a steady rain. In reality, these should be switched.

You can watch our full review of Tesla Full Self-Driving v14.3.7 below:

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Elon Musk

SpaceX’s biggest test yet arrives this week and it’s not a rocket launch

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SpaceX will report second quarter results after the market closes on Tuesday, August 4, marking the first time the company has opened its books to the public since its record IPO in June. Management will host a live audio only webcast at 4:30 p.m. ET, streamed on X, with no dial in option.

The debut carries more weight than a typical first quarter as a public company. Two trading days after the release, on August 6, the first tranche of SpaceX’s lockup expires, freeing roughly 911.5 million insider and employee shares, worth well over $100 billion at current prices and the largest such release in Wall Street history. A second, larger tranche tied to the stock trading 30 percent above its $135 IPO price never triggered, since shares have spent most of July trading below that price.

Wall Street’s models point to revenue near $6.9 billion for the quarter, up sharply from the $4.69 billion SpaceX reported in the first quarter, with a narrower per share loss than the $1.27 posted three months earlier, according to estimates compiled by Motley Fool. Those numbers will be the first look at how SpaceX’s three segments, Starlink, launch and AI, are performing independently.

SpaceX scores another massive Pentagon deal to support military satellites

Investors heading into the call have a specific list of questions. How many net new Starlink subscribers did SpaceX add after ending March with 10.3 million, and is average revenue per user holding up as the service expands into lower income markets. How much of the AI segment’s revenue reflects contract signings with Anthropic, Google and Reflection AI this year, deals that combined could annualize to nearly $28 billion if fully ramped. Whether capital expenditures, which nearly doubled in the AI segment alone between 2024 and 2025, are still accelerating or starting to plateau. And whether management offers any forward guidance at all, something SpaceX has never done publicly.

The report will also land days after Elon Musk publicly denied a Wall Street Journal report describing internal planning to separate Tesla’s China business ahead of a potential Tesla-SpaceX merger. Whether Musk or SpaceX executives address that speculation on the call, even indirectly, maybe something investors will be listening for on Tuesday.

As Teslarati reported after Musk’s own warning to short sellers last week, the CEO has made clear he expects skeptics to be proven wrong over time. Tuesday will be the first chance for the numbers themselves to make that case.

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