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Drivers using ‘cooperative steering’ more likely to stay engaged: IIHS
A new study from the Insurance Institute for Highway Safety (IIHS) has highlighted the potential benefits to “cooperative steering” automated driving systems in keeping drivers engaged.
The study found that the likelihood a driver will remain engaged when driving with partially automated systems is higher when using “cooperative steering,” in which manual movements to the steering wheel don’t disengage the software, according to the study results shared in a press release on Tuesday. Inversely, those using partially automated systems that turn off when drivers use the steering wheel were less likely to take an active role.
“These results suggest that small differences in system design can nudge drivers toward safer habits,” said David Harkey, IIHS President.
This recent study looked at survey responses from 1,260 owners of vehicles from Ford, General Motors (GM), Nissan/Infiniti, and Tesla, who regularly use their partially automated driving systems.
Drivers who are used to partial automation that switches off when they try to share control over the steering were found to be less willing to steer or put their hands on the wheel in circumstances that required steering adjustments, while systems with some degree of manual steering were more likely to help drivers remain engaged with the road and take an active role when road scenarios demanded it.
Those with cooperative systems were ultimately 36 percent more likely than the others to say they would steer to one side of the travel lane when needed.
Drivers with vehicle systems that did offer shared control were 40 to 48 percent less likely than the others to say they would keep their hands off the wheel in situations that would make most drivers nervous, while two other recent IIHS studies showed that even those warned to remain engaged did not often do so.
Systems that remain on when drivers adjust steering include Ford’s BlueCruise system and Nissan/Infiniti’s ProPILOT Assist system, while both GM’s Super Cruise and Tesla’s Autopilot disengaged from lane-centering upon receiving driver steering inputs. While both the systems from Tesla and Nissan required drivers to keep their hands on the steering wheel, Tesla’s upgraded Supervised Full Self-Driving (FSD) allows some hands-free driving, and so do the aforementioned Ford and GM systems.
“Those are sizable differences,” said Alexandra Mueller, IIHS Research Scientist and Lead Author of the study. “Although there could be many reasons, one plausible explanation is that systems that switch themselves off whenever the driver steers may make drivers less likely to want to intervene, as it’s a pain to reactivate the system again and again.”
“These findings suggest that cooperative steering may have an implicit influence on how willing drivers are to take action when the situation calls for it, regardless of how they think their system is designed,” Mueller added.
You can see the full study results from the IIHS here.
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Tesla’s Full Self-Driving Supervised and Cybercab unveil
The news comes weeks after Tesla unveiled its Cybercab robotaxi, which is built without a steering wheel, an accelerator, or brake pedals. It also comes in response to the company’s longtime bet on completely autonomous driving, first through the deployment of its FSD Supervised system, which is eventually expected to unlock an unsupervised version that buyers can use in their own vehicles.
While Tesla’s bet on full autonomy will likely come to fruition in future years, discussions about driver engagement have been ongoing, especially as those using Supervised FSD and other partially automated driving systems have used them in unintended ways that weren’t approved by the manufacturers.
At least for now, driver attention remains an important part of the path to full autonomy, until systems become safe enough to be trusted without supervision. Until then, efforts to keep drivers engaged may prove fruitful, and Tesla and others have taken steps to monitor drivers more closely when they use these systems, in order to ensure full engagement and readiness to regain control of the vehicle when needed.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
IIHS tested Tesla Autopilot safeguards: Here’s what they found
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, 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.
🚨 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
