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Ford BlueCruise, GM SuperCruise ranked as best Driver Assistance systems, Tesla Autopilot ranks 7th

(Credit: Tesla)

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Ford’s BlueCruise and General Motors’ SuperCruise were ranked in the top two spots in Consumer Reports’ recent analysis of twelve Active Driving Assistance Systems, while Tesla Autopilot was ranked seventh.

Among the manufacturers involved in the study, Ford and GM performed better than Mercedes-Benz, BMW, Toyota/Lexus, Volkswagen/Audi, Tesla, Rivian, Nissan/Infinity, Honda/Acura, Volvo/Polestar, and Hyundai/Kia/Genesis. Ford and GM’s driver monitoring systems were also lauded during CR’s 2022 testing.

Systems were tested around a track at CR’s Auto Test Center and on a 50-mile loop on public roads from September to December 2022. Each system had forty separate tests, and was evaluated in five specific categories:  capability and performance, keeping the driver engaged, ease of use, clear when safe to use, and unresponsive driver.

According to the report directly from CR, Ford and GM’s ADAS options use “direct driver monitoring systems,” or DDMS, that require driver eyes to remain on the road, even while actions like steering, acceleration, and braking are being automated by the vehicles. These systems are crucial in CR’s grading scale, and the firm said it awards extra points to options that hold drivers accountable with DDMS. Additionally, systems that do not have DDMS will have points deducted.

Ford bluecruise

Ford BlueCruise (Credit: Ford)

Here are the gradings and ratings:

  • Ford BlueCruise/Lincoln ActiveGlide – 84
  • Chevrolet/GMC/Cadillac/General Motors Super Cruise – 75
  • Mercedes-Benz Driver Assistance – 72
  • BMW Driving Assistance Professional – 69
  • Toyota Safety Sense 3.0/Lexus Safety System+ 3.0 – 65
  • Volkswagen Travel Assist/Audi Adaptive Cruise Assist – 62
  • Tesla Autopilot – 61
  • Rivian Highway Assist – 59
  • Nissan/Infiniti ProPILOT Assist – 58
  • Honda Sensing/Acura AcuraWatch – 58
  • Volvo/Polestar Pilot Assist – 53
  • Hyundai/Kia/Genesis Highway Driving Assist – 47

The Elephant in the Room: Where Tesla Fell Short, according to CR

Tesla was given the following grades in the five categories that were assessed:

  • Capabilities and Performance – 9/10
  • Keeping Driver Engaged – 3/10
  • Ease of Use – 5/10
  • Clear When Safe to Use – 3/10
  • Unresponsive Driver – 4/10

CR said that Tesla has fallen from its second-place spot in 2020 to mid-pack because the automaker “hasn’t changed Autopilot’s basic functionality much since it first came out, instead just adding more features to it.”

“After all this time, Autopilot still doesn’t allow collaborative steering and doesn’t have an effective driver monitoring system,” Jake Fisher of CR said. “While other automakers have evolved their ACC (adaptive cruise control) and LCA (lane-centering assistance) systems, Tesla has simply fallen behind.”

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One portion of the testing where CR was most critical was when Tesla and Mercedes-Benz’s systems allowed the vehicle to drive down the highway completely hands-free for roughly thirty seconds before audible alerts were given. Kelly Funkhouser, CR’s Manager of Vehicle Technology, estimated that it was roughly a half mile on a highway before the vehicles alerted the driver to pay attention to the road.

Tesla does have cabin cameras that monitor driver inattentiveness. The Model Y Owners Manual says the following:

“The cabin camera can determine driver inattentiveness and provide you with audible alerts, to remind you to keep your eyes on the road when Autopilot is engaged. By default, images and video from the camera do not leave the vehicle itself and are not transmitted to anyone, including Tesla, unless you enable data sharing. If you enable data sharing and a safety critical event occurs (such as a collision), Model Y shares short cabin camera video clips with Tesla to help us develop future safety enhancements and continuously improve the intelligence of features that rely on the cabin camera.”

In May 2021, Tesla activated camera-based driver monitoring. “The cabin camera above your rearview mirror can now detect and alert driver inattentiveness while Autopilot is engaged,” Tesla said in the notes. Tests of Tesla’s driver monitoring tests showed the system was effective in some instances, especially when looking at cell phones, with alerts coming in 15 seconds.

Tesla was complemented with its lane centering, as it gave smooth steering inputs and kept the car near the center of the lane on straight and curved roads.

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However, more compliments came from CR with Tesla’s Adaptive Cruise Control. “The ACC function of Tesla’s Autopilot system is capable of stopping the car, such as at a red light behind another vehicle, for an unlimited amount of time before resuming again. But without an adequate driver monitoring camera,” Funkhouser said,” this is potentially unsafe as there’s no way to know whether the driver is paying attention when the vehicle starts moving again.”

Tesla’s system apparently differs from GM and Ford’s in the sense that BlueCruise and Super Cruise as “both point infrared cameras at driver faces and sound an alert if the driver stops paying attention to the road, even if just for a few seconds.”

You can read Consumer Reports’ full report here.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

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The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

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The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

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The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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SpaceX Starship just nailed something it’s never done before

SpaceX’s Starship flew successfully Friday, landing both stages and deploying its first Starlink V3 satellites.

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Starship’s thirteenth test flight delivered exactly what SpaceX needed with a clean liftoff, two successful stage recoveries, and the first real payload the vehicle has ever carried to space. Booster 20 and Ship 40 lifted off at 5:51 p.m. CT from Starbase, and by the time the mission wrapped roughly an hour later, both halves of the rocket had done exactly what they were supposed to do.

Booster 20 separated from Ship 40 a few minutes into the flight and stuck a controlled splashdown in the Gulf of Mexico about six minutes after liftoff. That is a meaningful turnaround from Flight 12 in May, when the booster lost several engines during its boostback burn before a hard water landing attempt.


Starship 40’s performance was arguably the bigger win. The vehicle deployed the first 20 operational Starlink V3 satellites Starship has ever carried, then flew a suborbital arc to a landing in the Indian Ocean that SpaceX commentator Dan Huot called the company’s softest splashdown yet. “This is a dream scenario for this team that’s trying to get this heat shield data,” Huot said on the live broadcast, according to Space.com’s live coverage. “I’m a little over the moon right now. Wow. Lucky number 13.”

Unlike the mass simulators SpaceX flew on Flight 12, these were production Starlink V3 satellites, meant to extend solar arrays and antennas and attempt to link with the broader constellation before reentering minutes later. Getting real hardware through a full deploy sequence on only the second flight of the V3 generation keeps Starship on schedule for the payload work NASA is counting on for future Artemis lunar landings.

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— TESLARATI (@Teslarati) July 25, 2026

The flight also arrives at a moment when SpaceX needed a win. SPCX has traded below its $135 IPO price since mid-July, as Teslarati reported when the mission slipped to Friday, and short interest has climbed to roughly a third of the tradable float. A clean flight will not fix a balance sheet, but it does answer the one question SpaceX absolutely needed answered this week: whether the fixes made after the July 16 abort would hold up under real flight conditions. They did, on both stages, on the first try after the redesign.

SpaceX has not set a target date for Flight 14, though the company has said it wants to push toward an orbital attempt on the next mission. After Friday, that goal looks a lot more within reach.

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