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IIHS announces new ratings set for the safeguards of semi-autonomous vehicles
The Insurance Institute for Highway Safety (IIHS) has announced that it is developing a new ratings program that evaluates the safeguards that vehicles with partial automation employ to help drivers stay attentive.
The IIHS will use four levels for rating the safeguards: good, acceptable, marginal, or poor. Vehicles with “good” safeguard system ratings will need to ensure that the driver’s eyes are directed at the road and their hands are either on the wheel or ready to grab it at any point. Vehicles with escalating alert systems and appropriate emergency procedures when a driver does not meet those conditions will also be required, the IIHS said.
Expectations for the IIHS are that the first set of ratings will be released in 2022. The precise timing is currently not solidified as supply chain bottlenecks have affected the IIHS’ ability to obtain test vehicles from manufacturers.
IIHS President David Harkey believes a rating system for these “driver monitoring” systems could determine their effectiveness and whether safeguards actually hold drivers accountable. “Partial automation systems may make long drives seem like less of a burden, but there is no evidence that they make driving safer,” Harkey said. ” In fact, the opposite may be the case if systems lack adequate safeguards.”
Self-driving cars are not yet available to consumers, the IIHS reassures in its press release. While some advertising operations or product names could be somewhat misleading, the IIHS admits that some vehicles have partial automation. However, the human driver is still required to handle many routine driving tasks that many of the systems simply cannot perform. The driver always needs to be attentive and monitor the vehicle’s behavior, especially in case of an emergency where the driver needs to take over control of the car. The numerous semi-autonomous or partially automated programs on the market, like Tesla Autopilot, Volvo Pilot Assist, and GM’s Super Cruise, to name a few, all have safeguards in place to help ensure drivers are focused and ready. However, the IIHS says that “none of them meet all the pending IIHS criteria.”
The previously named partially automated driving systems all use cameras, radar, or other sensors to “see” the road. Systems currently offered on the market combine Adaptive Cruise Control (ACC) and lane centering with other driver assistance features. Automated lane changing is becoming common as well, and is a great example of one of these additional features.
Regardless of how many features a semi-autonomous driving program has, all of them still require the driver to remain attentive and vigilant during operation. This does not mean that all drivers maintain attention, as some may use cheat devices or other loopholes to operate a vehicle with semi-autonomous features in a fully autonomous way. Additionally, the IIHS mentions in its press release that some manufacturers “have oversold the capabilities of their systems, prompting drivers to treat the systems as if they can drive the car on their own.”
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Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study
The main issue is the fact that many operators deliberately misuse the systems. IIHS Research Scientist Alexandra Mueller is spearheading the new ratings program, and she says that abuse of the systems is one of many problems with semi-autonomous vehicle features.
“The way many of these systems operate gives people the impression that they’re capable of doing more than they really are,” Mueller said regarding the features. “But even when drivers understand the limitations of partial automation, their minds can still wander. As humans, it’s harder for us to remain vigilant when we’re watching and waiting for a problem to occur than it is when we’re doing all the driving ourselves.”
There is no way to monitor a driver’s thoughts or their level of focus on driving. However, there are ways to monitor gaze, head and hand position, posture, and other indicators that, when correctly displayed, could be consistent with someone who is actively engaged in driving.
The IIHS’ new ratings program aims to encourage the introduction of safeguards that can help reduce intentional and unintentional misuse. They would not address the functional aspects of some systems and whether they are activating properly, which could also contribute to crashes. It will only judge the systems that monitor human behaviors while driving.
“To earn a good rating, systems should use multiple types of alerts to quickly remind the driver to look at the road and return their hands to the wheel when they’ve looked elsewhere or left the steering unattended for too long. Evidence shows that the more types of alerts a driver receives, the more likely they will notice them and respond. These alerts must begin and escalate quickly. Alerts might include chimes, vibrations, pulsing the brakes, or tugging on the driver’s seat belt. The important thing is that the alerts are delivered through more channels and with greater urgency as time passes,” the IIHS says. Systems that work effectively would perform necessary maneuvers, like bringing the vehicle to a crawl or a stop if drivers that fail to respond to the numerous alerts. If an escalation of this nature occurs, the driver should be locked out of the system or the remainder of the drive, or until the vehicle is turned off and back on.
The rating criteria may also include certain requirements for automated lane changes, ACC, and lane centering. Automated lane changes should be initiated, or at least confirmed, by the driver before they are performed. If a vehicle comes to a complete stop when an ACC system is activated, the system “should not automatically resume if the driver is not looking at the road or the vehicle has been stopped for too long.” Lane centering features should also encourage the driver to share in steering, rather than switching off automatically when the driver adjusts the wheel. This could discourage some drivers from participating in driving, the IIHS said. Systems should also not be used if a seatbelt is unfastened, or when AEB or lane departure prevention is disabled.
“Nobody knows when we’ll have true self-driving cars, if ever. As automakers add partial automation to more and more vehicles, it’s imperative that they include effective safeguards that help drivers keep their heads in the game,” Harkey said.
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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!”
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.”
Yup. In this case, the driver manually overrode self-driving by pressing the accelerator all the way to 100% of the accel pedal in this residential area. They reached a speed of 73 mph during the crash, and had the accelerator pressed even after the crash.
— Ashok Elluswamy (@aelluswamy) June 22, 2026
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
“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.
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.
🚨 SpaceX has announced its inaugural offering of senior unsecured notes.
The net proceeds will be used to repay outstanding loans under its bridge loan facility in full.
This inaugural debt offering represents a financing milestone for SpaceX, which previously depended… pic.twitter.com/pcOZuVbTRv
— TESLARATI (@Teslarati) June 22, 2026
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.
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.
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.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
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.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
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.
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.
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.
Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration
SpaceX makes $20 billion move to optimize its balance sheet
