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No, Tesla wasn’t “cheated” in the Model 3 headlight safety test by the IIHS

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With the Insurance Institute for Highway Safety’s release of initial crash test information for the Tesla Model 3 came cries from many in the electric vehicle community that Tesla was “being cheated.” This isn’t entirely true as the new IIHS test removes a lot of cars out of the Top Safety Pick+ rating, the highest accolade the independent safety tester will give a car.

The Insurance Institute for Highway Safety (IIHS) is an independent testing organization funded by insurance companies and some of the banks who back them. The IIHS purchases every car it tests–usually several of each–and tests these vehicles in their highest-available safety configuration. These crash tests usually destroy the vehicles in question, of course, but give an independent, third-party result not otherwise available.

When the IIHS’ initial safety results for the Tesla Model 3 were released, they included ratings for only two of the seven total ratings given to a vehicle. Those ratings, posted to the IIHS.org website, created a lot of response from the community regarding the failure of the Model 3’s headlamps to pass muster.

The tests so far include only the non-invasive, non-destructive tests normally conducted by the IIHS. Namely to crash mitigation systems and headlamps. It’s likely that the next test to see release on the Model 3 will be for LATCH child safety system use, another non-destructive test. From there, crash testing will begin. For that, IIHS needs to receive more Model 3 vehicles (5 in all), the rest of which are on order and expected later this year. Like any other Model 3 buyer, delays in manufacturing have put the IIHS’ ownership of the cars for evaluation on hold.

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How the IIHS Conducts Headlight Tests, and Why

The IIHS conducts headlamps tests because, according to the organization, about half of all fatal crashes in the U.S. occur in the dark and many of those are on unlit roads where headlamps are the only thing illuminating whatever’s in front of the car. Although headlights are mandatory and minimum illumination requirements are required by law for all street-legal vehicles, there is a wide variance in how much (and how useful) that illumination can be. Especially with the advent of new lighting technologies.

“Headlight technology has been developing rapidly in recent years. LED and high-intensity discharge (HID) lamps have begun to replace the traditional halogen ones,” IIHS explains on its website. “Many automakers offer curve-adaptive headlights, which respond to steering and swivel according to the direction of travel. Many also offer high-beam assist, a feature that can increase the use of high beams..” These and other variables mean that headlights of the same type on one vehicle can be much worse than they can on another. Even little things like how the lights are focused, what type of light they emit, etc. can change effectiveness.

[Credit: Parker Smith via YouTube]

For those reasons, the IIHS instituted a headlight testing methodology in 2016. Starting this year (2018), these test results directly affect a vehicle’s eligibility for Top Safety Pick+ status. So far in 2018, only a handful of models have received TSP+ ratings. Somewhat surprising for luxury and high-end car buyers is the fact that almost all of those TSP+ vehicles are lower-end vehicles from makes like Hyundai and Subaru.

Testing for headlamps is conducted using a multi-part evaluation using a hypothetical, clear, two-lane road. The tests include measurements in a straightaway, measuring both the length and amount of illumination as well as the amount of glare the lights create for oncoming drivers. Then a gradual left- and right-hand turn and a steeper left- and right-hand curve are measured for a total of five directions in all.

Results are taken from varied distances at 10 inches high and 3-feet, 7-inches high (from the ground) to mimic where the driver is looking (out and down) and where oncoming vehicle drivers are seeing from (higher up). Ratings are then assigned according to how these measurements line up with a hypothetical ideal headlight system. Both low and high beams are tested the same way with the low beams being weighted for scoring as they are used most often in the real world. Vehicles with automatic high beam systems are given more points as the high beams will be used more often.

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The Controversy Surrounding the IIHS Headlight Test

The inherent weakness in this IIHS test is similar to that of most of its advanced testing: it’s only tested on the ideal vehicle trim level and options. In other words, the testing is most likely happening on the most expensive model being sold, not necessarily on the most mainstream version of the vehicle. This becomes obvious when the bulk of the Top Safety Pick+ list is comprised of vehicles like the 2018 Subaru WRX.

The WRX is a great car, sure; a personal favorite in fact. But its winning of a TSP+ badge is a little misleading. The volume-selling model WRX is the mid-tier Premium trim, which doesn’t include the LED headlights or the automatic high beam control tested by the IIHS. To get those, one has to go up to the more expensive Limited trim point and add the EyeSight system. That latter point can only come if the buyer of this driver’s car is willing to drop their manual transmission for a CVT. That’s another sticking point as the WRX has a large percentage of buyers who want to shift the gears themselves.

What all of this means is that the 2018 WRX is a great car, but it’s not likely to be purchased in the configuration which the IIHS used to test its headlamps with. Other cars on the TSP+ list are much the same.

The interesting note here is that unlike actual crash tests, the slightly more subjective headlamp tests of the IIHS fall into the non-destructive tests for other safety equipment that, while respected, are also flawed for the same reason: only top-end models tend to have all of that equipment on them. Unlike those other safety items, however, the headlamp tests can hurt higher-end models while lower-end options would ace them. Why? Because LED headlamps, which consistently appear to fail most of the glare testing that the IIHS does, are generally only found on top-end models or luxury vehicles. There could be a lot of reasons for that, but my personal theory is that it has to do with automakers having to find a median between maximum safe illumination and glare due to how reflective LED lamps are designed.

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The current IIHS Top Safety Pick+ list includes no midsize luxury cars (which the Model 3 is considered), though the overall midsize car category has five entries. All of them with caveats as to what must be included (usually top trim point items or options). Last year, under the old rules, most midsize and midsize luxury cars made the TSP+ list and Tesla’s Model S failed to make the list in part, again, for headlights.

It’s difficult to say what will happen with the Insurance Institute’s testing going forward. Likely manufacturers will come up with solutions to receive better scores on the headlamps test, perhaps by changing LED lighting designs or gaming the IIHS tests (as they have in the past with the small front overlap).

Tesla has some smart engineers and could probably figure out a way to remedy the lighting problem that’s kept their vehicles from rating high on IIHS tests in recent years. With a mainstream attempt like the Model 3, that could become a very important goal as buyers in the midsize sedan category tend to be safety conscious consumers.

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Aaron Turpen is a freelance writer based in Wyoming, USA. He writes about a large number of subjects, many of which are in the transportation and automotive arenas. Aaron is a recognized automotive journalist, with a background in commercial trucking and automotive repair. He is a member of the Rocky Mountain Automotive Press (RMAP) and Aaron’s work has appeared on many websites, in print, and on local and national radio broadcasts including NPR’s All Things Considered and on Carfax.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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