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Tesla Model 3 named as vehicle with ‘lowest probability of injury’ by the NHTSA

[Credit: NHTSA]

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The National Highway Traffic Safety Administration (NHTSA) has dubbed the Long Range RWD Tesla Model 3 as the vehicle with the lowest probability of injury among all cars that the agency has tested so far. The Model 3’s low likelihood of injury rating was given after the vehicle went through the NHTSA’s New Car Assessment Program, which involves a series of crash tests determining the likelihood of serious passenger injury for front, side, and rollover crashes. 

The Model 3’s stellar rating from the NHTSA could be seen as yet another testament to the quality of Tesla’s all-electric cars. Immediately following the Model 3’s scores, after all, are the Model S and Model X, which are currently the vehicles considered by the NHTSA with the second and third lowest probabilities of injury. In a blog post announcing the electric sedan’s safety ratings, Tesla noted that it expects the Dual Motor AWD Model 3 to perform just as well in the NHTSA’s tests as its Long Range RWD sibling.

Part of the reason why the Model 3 is so safe is due to the vehicle’s all-electric design. Tesla opted to place the Model 3’s battery pack, the heaviest component of the vehicle, right at the car’s center of gravity. This gives the Model 3 performance and handling that is almost similar to that of mid-engine vehicles, while allowing the electric sedan to have a near 50/50 weight distribution. Other subtle design tweaks, such as the rear motor being placed slightly in front of the axle, further improve the Model 3’s weight distribution, as well as its overall agility and handling.

In true Tesla tradition, the Model 3’s all-electric architecture comprises of a sturdy, rigid passenger compartment, a fortified battery pack, and a low center of gravity. Just like its larger siblings, the Model S and X, the absence of an internal combustion engine in front and a fuel tank at the rear give the Model 3 extra large crumple zones, which are optimized to absorb energy and crush more efficiently in the event of an accident.

In the event of a frontal crash, the crumple zone at the front of the vehicle controls the deceleration of occupants, while the Model 3’s advanced restraint systems keep occupants safe in place. Passenger airbags are even specially designed to protect an occupant’s head in the event of an angled or offset crash, while active vents enable the vehicle to adjust the internal pressure of the frontal airbags when deploying. These systems optimize protection based on the specifics of an accident.

The Model 3’s energy-absorbing lateral and diagonal beam structures help occupants safe during pole impact crashes. These structures include a high-strength aluminum bumper beam, a sway bar placed close and forward in front of the car, cross members are the front of the steel subframe that are connected to the main crash fails, as well as diagonal beams in the subframe that distribute energy back to the crash rails when they are not directly impacted. An ultra-high-strength martensitic steel beam is further fitted on the front of the suspension to absorb crash energy from severe impacts.

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The Tesla Model 3 gets crash tested by the National Highway Traffic Safety Administration. [Credit: NHTSA]

Tesla also designed the Model 3 with a patented pillar structure and side sills to absorb as much energy as possible in a short distance. Coupled with the vehicle’s rigid body construction and fortified battery architecture, these design elements enable the Model 3 to reduce and prevent compartment intrusion in the event of an accident, while allowing its side airbags to have more space to inflate and cushion occupants.

Just like the Model S and Model X, the Model 3’s low center of gravity plays a key role in keeping the vehicle safe from rollover crashes. That said, even if a rollover does occur, Tesla notes that internal tests have shown that the Model 3 is capable of withstanding roof-crush loads equivalent to more than four times the electric sedan’s weight, far more than the NHTSA’s standards that require cars to withstand three times their own weight.

The Model 3 was recently given a flawless 5-Star Safety Rating in all categories and subcategories by the NHTSA. In a follow-up tweet to the NHTSA’s Model 3 results, Elon Musk noted on Twitter that the electric sedan has a shot at being the “safest car ever tested” by the agency. With the Model 3 being dubbed as the vehicle with the lowest probability of injury by the NHTSA, it appears that Musk’s statement has proven to be accurate.

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It’s not just the NHTSA that has given the Model 3 its approval, either. Earlier this year, the Insurance Institute for Highway Safety (IIHS), a nonprofit funded by auto insurers aimed at reducing accidents on the road, gave the Model 3 a “Superior” front crash avoidance rating. During the course of its testing, the Model 3 performed well in the crash avoidance and mitigation category, thanks to the vehicle’s Forward Collision Warning, its low-speed autobrake, and its high-speed autobrake systems. The Model 3 was also given a “Recommended” rating by Consumer Reports, after an over-the-air software update reduced the vehicle’s braking distance.

Tesla’s electric cars are known for their performance and their safety. The Model X, for one, also received 5-Star Safety Ratings in all categories and subcategories during the NHTSA’s tests. The Model S, on the other hand, performed so well during the NHTSA’s safety evaluation that the agency’s crash-testing gear broke while it was testing the electric sedan.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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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