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ADAS safeguards are lacking across auto brands: IIHS

Credit: Ford

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The Insurance Institute for Highway Safety (IIHS) has released a study showing that Advanced Driver Assistance System (ADAS) safeguards are lacking across brands, with most of the 14 partially automated systems tested receiving “marginal” or “poor” ratings.

In a press release shared on Tuesday, the IIHS released early results from the new ratings system, noting that partial automation systems from Tesla, Ford, Nissan, and most other automakers that were tested were lacking in multiple categories. The study offered ratings of good, acceptable, marginal or poor, both overall and in specific categories.

Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study

“We evaluated partial automation systems from BMW, Ford, General Motors, Genesis, Lexus, Mercedes-Benz, Nissan, Tesla and Volvo,” said David Harkey, IIHS President. “Most of them don’t include adequate measures to prevent misuse and keep drivers from losing focus on what’s happening on the road.”

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Of the 14 partially automated systems tested thus far, only one system from any automaker was deemed acceptable, while two were rated marginal, 11 were rated poor, and none were rated good. The categories that were individually rated for each system included driver monitoring, attention reminders, emergency procedures, lane change, adaptive cruise control (ACC) resume, cooperative steering, and safety features.

The IIHS gave both Tesla’s Autopilot and Full Self-Driving (FSD) beta systems poor ratings overall, while Volvo Pilot Assist, Nissan ProPilot, Mercedes Active Distance Assist Distronic, Ford BlueCruise and several others were rated poor. Driver monitoring and attention reminders were some of the lower-rated categories across most brands, highlighting the ability for drivers to trick systems into thinking they’re being fully aware.

The research non-profit also noted that there was “little” evidence to support that partially automated systems like these are actually at the point that they currently make driving safer—though most companies target safety as a number one goal with ADAS programs.

“Some drivers may feel that partial automation makes long drives easier, but there is little evidence it makes driving safer,” Harkey said. “As many high-profile crashes have illustrated, it can introduce new risks when systems lack the appropriate safeguards.”

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The top-rated systems in the index  included Lexus Teammate with Advanced Drive with an acceptable rating, along with the GM Super Cruise and Nissan ProPilot Assist with Navi-Link. Every other system was rated poor overall.

You can see the full category breakdowns from tests of Tesla’s Autopilot and FSD beta systems from the IIHS below, along with those of a few others.

Credit: IIHS

Credit: IIHS

Credit: IIHS

Credit: IIHS

Credit: IIHS

“These results are worrying, considering how quickly vehicles with these partial automation systems are hitting our roadways,” Harkey added.

“But there’s a silver lining if you look at the performance of the group as a whole. No single system did well across the board, but in each category at least one system performed well. That means the fixes are readily available and, in some cases, may be accomplished with nothing more than a simple software update.”

Below you can see overall ratings for each system tested.

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System Tested Vehicle Overall Rating
 

Lexus Teammate with Advanced Drive

 

2022-2024 Lexus LS

 

Acceptable

 
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GM Super Cruise

 

2023-2024 GMC Sierra

 

Marginal

 

Nissan ProPILOT Assist with Navi-Link

 
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2023-2024 Nissan Ariya

 

Marginal

 

BMW Active Driving Assistant Pro

 

2023-2024 BMW X1

 
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Poor

 

Ford BlueCruise

 

2021-2024 Ford Mustang Mach-E

 

Poor

 
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Ford Adaptive Cruise Control with Stop & Go and Lane Centering Assist

 

2021-2024 Ford Mustang Mach-E

 

Poor

 

Genesis Highway Driving Assist 2

 
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2023-2024 Genesis G90

 

Poor

 

Genesis Smart Cruise Control/Lane Following Assist

 

2023-2024 Genesis G90

 
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Poor

 

Lexus Dynamic Radar Cruise Control with Lane Tracing Assist

 

2022-2024 Lexus LS

 

Poor

 
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Mercedes-Benz Active Distance Assist DISTRONIC with Active Steering Assist

 

2022-2023 Mercedes-Benz C-Class

 

Poor

 

Nissan ProPILOT Assist 2.0

 
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2023-2024 Nissan Ariya

 

Poor

 

Tesla Autopilot version 2023.7.10

 

2021-2023 Tesla Model 3

 
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Poor

 

Tesla Full Self-Driving beta version 2023.7.10

 

2021-2023 Tesla Model 3

 

Poor

 
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Volvo Pilot Assist

 

2022-2024 Volvo S90

 

Poor

 

You can view the full list of rankings with individual category rankings from the IIHS here, or view the institute’s test protocol and rating guidelines here. Additionally, see the institute’s press release detailing the rating system’s early results here.

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What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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SpaceX reveals Starship Flight 13 launch date

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SpaceX Starship V3 flight 12
SpaceX Starship V3 flight 12 (Credit: SpaceX)

SpaceX is preparing for the 13th integrated flight test of its Starship system, with a targeted launch as early as Thursday, July 16. The 90-minute launch window opens at 5:45 p.m. CT from Starbase in South Texas.

This comes roughly seven weeks after Flight 12 on May 22, underscoring the company’s accelerating pace in its rapid development campaign. The mission will use the latest Starship and Super Heavy V3 vehicles equipped with Raptor 3 engines. Booster 20 will attempt a controlled boostback burn, followed by a splashdown in the Gulf of Mexico, while Ship 40 will follow a suborbital trajectory.

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Key objectives for Flight 13 will include demonstrating reliable stage separation, engine performance under various conditions, and controlled reentry.

A major milestone for Flight 13 is the first deployment of 20 next-generation Starlink V3 satellites. These satellites feature advanced laser links for inter-satellite communication, deployable solar arrays, and onboard cameras, six of which will capture imagery of Starship’s heat shield during flight.

Several heat shield tiles on Ship 40 will be painted white to serve as imaging targets, while additional experiments test upgraded tiles on aft flaps, modified attachments on the aft skirt, and load-sensing tiles to measure stresses. The upper stage will also attempt a single Raptor engine relight in space before a targeted splashdown in the Indian Ocean.

These tests build directly on lessons from Flight 12, which introduced the V3 configuration but encountered issues including a booster flip anomaly during boostback and an engine-out event on the ship. Hardware and software modifications on Booster 20 and Ship 40 aim to improve engine relight reliability, startup sequencing, and overall robustness.

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The short interval between Flights 12 and 13 highlights SpaceX’s iterative approach. Elon Musk has repeatedly emphasized that Starship launches will become “incredibly common” in the coming years.

The company envisions scaling to rates as high as one launch per hour within 4-5 years, potentially enabling thousands of flights annually. Such cadence is essential for Starship’s goals: establishing orbital refueling for lunar and Mars missions, deploying massive satellite constellations, and making life multiplanetary.

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With each flight, Starship edges closer to full reusability and operational maturity. Success on July 16 would mark another step toward routine access to space and the ambitious vision of humanity becoming a spacefaring civilization.

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Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont

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Credit: Tesla

Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.

The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.

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The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”

Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.

The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.

Elon Musk outlines Tesla Optimus production expectations

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This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.

Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.

Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.

Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.

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As one era closes at Fremont, another is rapidly taking shape.

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Elon Musk admits he was ‘clearly wrong’ about Anthropic

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.

In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.

Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.

The tone shifted dramatically from dismissal to acknowledgement of superior performance.

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The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.

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SpaceXAI signs agreement with Anthropic for massive AI supercomputer access

Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”

To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.

Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.

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Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.

These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.

Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.

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