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Tesla Autopilot is now a ‘distant 2nd’ to GM Super Cruise: Consumer Reports
Tesla’s Autopilot may have the best performance, capabilities, and ease of use in Consumer Reports’ recent ranking of active driving assistance systems, but it remains “a distant second” to GM’s Super Cruise nonetheless. This was according to the testing organization on Wednesday.
The results echo Consumer Reports’ findings in its first-ever ranking of active driving assistance systems back in 2018, which also ended with GM Super Cruise taking the top spot and Tesla Autopilot taking second place. This time around, the testing organization tested 17 systems from various carmakers, as opposed to the four that were evaluated in 2018. Needless to say, the results were quite interesting.
Each of the active driving assistance systems in this year’s test was evaluated under the following metrics: Capability and Performance, Keeping the Driver Engaged, Ease of Use, Clear When Safe to Use, and Unresponsive Driver. Tesla’s Autopilot aced two of these metrics, specifically Capability and Performance as well as Ease of Use. Autopilot earned an impressive score of 9/10 in Capabilities and Performance and a 7/10 for Ease of Use.
According to Consumer Reports, Autopilot performed the best among the 17 systems it tested in its lane-keeping assist tests. Autopilot was also deemed the best when it comes to how easy it is to use. Kelly Funkhouser, CR’s head of connected and automated vehicle testing, noted that systems that score well in Ease of Use usually require non-complex input from drivers. “One of the last things you want in a system that is supposed to assist the driver is to make things overly complicated,” Funkhouser said.
Unfortunately for Tesla, Autopilot was rated poorly by Consumer Reports when it came to the Keeping the Driver Engaged metric. For this metric, Tesla’s driver-assist system earned a paltry 3/10 score due to Autopilot’s alleged lack of driver monitoring systems. In contrast, GM’s Super Cruise, the highest-ranking system in this metric with a 7/10 score, was praised for its camera-based driver monitoring system that uses eye-tracking technology.
Super Cruise was also the top-ranked system with an 8/10 score in the Clear When Safe to Use metric, since the system could only be used on areas where the driver-assist suite could perform safely. “Cadillac stood out in this category because Super Cruise can be used only on pre-mapped, divided highways. Plus, Super Cruise will even warn the driver in advance when there is an upcoming lane-merge or complex situation that requires extra attention.,” Consumer Reports noted.
Tesla Autopilot earned a 2/10 score in Clear When Safe to Use, due to the system being accessible in areas that are not low-risk. “Active driving assistance systems should only be able to be activated in low-risk driving environments, void of pedestrians and tricky situations, such as intersections and complicated traffic patterns,” Funkhouser said.
Tesla Autopilot earned a 6/10 score for Consumer Reports’ Unresponsive Driver metric. This metric, as noted by the testing organization, evaluates systems based on their capability to operate vehicles safely in the event that the driver falls asleep or encounters a medical emergency. Systems were evaluated based on their escalation process for warnings, steering control, and speed control.
Overall, GM Super Cruise earned a total score of 69 from the testing organization, while Tesla Autopilot earned a total score of 57. Following closely was Ford Co-Pilot 360 at 52 and Audi Pre Sense at 48. Funkhouser, for her part, noted that Super Cruise’s driver monitoring system remains a difference-maker. “Even with new systems from many different automakers, Super Cruise still comes out on top due to the infrared camera ensuring the driver’s eyes are looking toward the roadway,” the head of connected and automated vehicle testing said.
Consumer Reports’ discussion of its recent active driving assistance suite rankings could be accessed here.
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
