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Tesla FSD Beta V9 earns sharp rebuke from Consumer Reports

Credit: Eli Burton/Twitter

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Consumer advocate group Consumer Reports (CR) has issued a sharp rebuke of Tesla’s Full Self-Driving Beta V9, which began its initial rollout earlier this month. CR highlighted FSD Beta V9’s capabilities and lack of safeguards as its main point of criticism for the advanced driver-assist system. 

Tesla FSD Beta V9 adopts the company’s pure vision approach, which uses a camera-based Autopilot model. Tesla’s decision to adopt pure vision as opposed to its previous camera+radar approach was quite controversial, though initial reviews from some FSD Beta users have noted that their vehicles have been behaving more confidently with FSD Beta V9. Elon Musk, for his part, has maintained that FSD Beta V9 users must exercise utmost caution when using the system.

Consumer Reports’ Tesla Model Y does not have FSD Beta V9 software, and thus, the company is yet to experience the advanced driver-assist system firsthand, but Jake Fisher, senior director of CR’s Auto Test Center, noted that videos of FSD Beta V9 in action do not inspire confidence. “Videos of FSD Beta 9 in action don’t show a system that makes driving safer or even less stressful. Consumers are simply paying to be test engineers for developing technology without adequate safety protection,” he said. 

The magazine pointed to videos uploaded by FSD Beta V9 tester AI Addict, whose YouTube uploads showed instances when the advanced driver-assist system made mistakes and required manual interventions. Missy Cummings, an automation expert who is director of the Humans and Autonomy Laboratory at Duke University, noted that FSD Beta V9 still has fundamental problems. 

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“It’s hard to know just by watching these videos what the exact problem is, but just watching the videos it’s clear (that) it’s having an object detection and/or classification problem. I’m not going to rule out that at some point in the future that’s a possible event. But are they there now? No. Are they even close? No,” she said. 

https://twitter.com/kimpaquette/status/1414351707660763137?s=20

Selika Josiah Talbott, a professor at the American University School of Public Affairs in Washington, D.C., is more critical of the system, stating that the videos she has seen of FSD Beta V9 show that the advanced driver-assist system behaves “almost like a drunk driver” in the way that it struggles to stay between lane lines. “It’s meandering to the left; it’s meandering to the right. While its right-hand turns appear to be fairly solid, the left-hand turns are almost wild,” she said. 

Despite Tesla’s rollout of a camera-based driver monitoring system to its vehicles, Fisher argued that the EV maker still needs to monitor its drivers in real-time to ensure that FSD Beta V9 is being used properly. “Tesla just asking people to pay attention isn’t enough—the system needs to make sure people are engaged when the system is operational. We already know that testing developing self-driving systems without adequate driver support can—and will—end in fatalities,” he said. 

It should be noted that FSD Beta V9’s current iteration is not in wide release yet, and it has only been rolled out to the company’s select group of FSD Beta testers. So far, however, tests of the system in action seem encouraging. While manual interventions still happen from time to time, FSD Beta V9 does seem like a step forward from its previous iterations. This does not mean that Tesla’s driver-assist system is ready to go hands-free, of course, but it’s a solid step forward. Needless to say, there’s a good chance that improvements would be made to FSD Beta V9 before it gets a wider release. 

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Consumer Reports’ full article on Tesla’s FSD Beta V9 could be accessed here. 

Watch AI Addict’s FSD Beta V9 video below.

Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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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.

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.

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.

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.

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

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.

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.

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.

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.

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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