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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?

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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?

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.

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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.

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Don’t hesitate to contact us with tips! Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.com.

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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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.

CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.

Musk said:

“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”

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Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”

He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”

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Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.

The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.

Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”

Tesla alleged “driverless” crash in Texas: What is known so far

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“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.

This appears to be a similar situation. However, an investigation will prove what happened for sure.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.

The company announced an offering of senior unsecured notes expected to raise at least $20 billion.

The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.

According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.

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The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.

SpaceX officially acquires xAI, merging rockets with AI expertise

In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.

The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.

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SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.

Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.

Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.

CNBC first reported the deal.

This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.

SpaceX has previously signed significant compute deals with other major players.

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It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.

Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.

SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.

SpaceX makes first acquisition post-IPO

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These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.

Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.

The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.

For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.

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