News
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.
Elon Musk
Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’
Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.
The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.
A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”
Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.
This functionality will be there in about 3 months or so
— Elon Musk (@elonmusk) June 18, 2026
Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.
This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.
The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.
Musk teased that a similar feature was “coming” back in February:
Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says
It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.
Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.
Here’s an example of that from December:
🚨🏈 I am taking my parents and Fiancee to the @Ravens game next weekend and asked @Grok to help me route my @Tesla through a specific neighborhood to reach the correct Lot we will park in.
This is a great example of the new @grok nav integration with the Tesla Holiday Update: pic.twitter.com/rPp4I7q8Yv
— TESLARATI (@Teslarati) December 13, 2025
Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.
We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.
News
Tesla Cybercab has one important piece that AI4 cars might need for FSD
A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.
This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.
The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.
Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:
Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.
But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:
And this is how the side camera and washer look like on a Cybercab. This is from an Engineering vehicle in Peabody MA. pic.twitter.com/Re8VknpmLM
— Tobias Goebel (Unsupervised) (@tpgoebel) June 17, 2026
This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.
For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.
Without it, even the most advanced neural nets struggle when their “eyes” are compromised.
What Does This Mean for AI4 Cars?
This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:
Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys
As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.
As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.
Elon Musk
Elon Musk just upped his Tesla stake further fueling SpaceX merger conversation
Elon Musk just collected a $116 billion Tesla payday and the timing is eye-opening
Elon Musk quietly collected one of the largest single-transaction paydays in corporate history on Monday. A Form 4 filed with the SEC on June 17, 2026 disclosed that Musk exercised 303,960,630 Tesla stock options from his 2018 compensation package, with the transaction dated June 16. No shares were sold on the open market.
The numbers are straightforward but striking. Musk exercised the options at a split-adjusted strike price of $23.34, with Tesla closing at $404.66 that day, putting the spread at $381.32 per share and generating roughly $115.9 billion in paper gains in a single transaction. To cover the exercise cost, Tesla withheld 17,531,857 shares through a net share settlement, meaning Musk paid nothing out of pocket.
For perspective, in 2018, Elon Musk’s award was originally approved by Tesla shareholders on March 21, 2018, and structured entirely around performance milestones that many analysts at the time called unreachable. Every tranche eventually vested. The original grant covered 20,264,042 shares at $350.02, which after Tesla’s 5-for-1 split in 2020 and 3-for-1 split in 2022 adjusted to 303,960,630 shares at $23.34. A Delaware court rescinded the award in January 2024, ruling the board was conflicted. As Teslarati reported, Tesla shareholders voted to ratify the package anyway in June 2024 by a wide margin. The Delaware Supreme Court reversed the decision in December 2025, finding full cancellation too extreme, and Tesla’s board signed an Implementation Agreement on April 21, 2026 to formally deliver the shares.
The Tesla and SpaceX merger everyone is talking about is quietly building
The timing and structure of the Form 4 filing carries more weight than a routine stock option exercise typically would. Musk exercised his 2018 Tesla award on June 16, a week into SpaceX completing its IPO and trading publicly, and giving SpaceX a public market valuation and share currency for the first time in the company’s history. A stock-for-stock merger between two companies requires the acquiring entity to have tradeable shares it can offer to the target’s shareholders, and SpaceX now has exactly that. At the same time, Musk just increased his direct Tesla voting power to approximately 20%, giving him greater influence over any shareholder vote that a merger would require. The restricted shares he received cannot be sold until 2033, which removes any near-term incentive to cash out and instead positions this stake as long-term structural collateral in a deal. Additionally, Musk’s two companies are already deeply intertwined through shared semiconductor fabrication at their joint TERAFAB facility in Austin, cross-company supply chain transactions, and Tesla’s $2 billion investment in xAI prior to the SpaceX-xAI merger.
Wedbush analyst Dan Ives has publicly placed the odds of a Tesla and SpaceX combination at 80% to 90% by early 2027. The Implementation Agreement that made Monday’s exercise possible was signed on April 21, 2026, roughly two months before the SpaceX IPO closed. That sequencing, building Musk’s Tesla ownership to its highest point ever immediately before SpaceX gains the public currency needed to acquire it, is either an extraordinary coincidence or a carefully staged foundation for the largest corporate merger in history.