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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. 

https://twitter.com/WholeMarsBlog/status/1417341858322161664?s=20

“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. 

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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. 

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.

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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Elon Musk

Elon Musk says he ‘hopes AI is nice to us’

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elon musk
Credit: Ministério Das Comunicações [CC BY:2.0]

Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.

Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”

Musk’s response was simple: “I hope AI is nice to us.”

The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.

A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.

The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.

Elon Musk breaks silence on OpenAI trial decision

These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.

Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.

He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.

Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.

Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.

Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.

Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.

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Tesla starts testing its Starlink-integrated Cybercab on public roads

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Credit: lottherm | TikTok

Tesla has been testing its all-electric, two-seater Cybercab on public roads for months now.

Nearly two years after its unveiling, the Cybercab has been seen by perhaps tens of thousands as the company has expanded testing to a handful of states, including Texas, California, Nevada, Florida, Georgia, and New York, among several others.

However, nobody has seen one like this quite yet.

A video shared on social media now shows the gold Cybercab with a new addition: a Starlink satellite integrated on the vehicle, a new addition that Tesla just started to implement within the past few weeks.

@lottaherm More cybercabs being spotted now with Starlink integrated 👀 #cybercab #tesla #elonmusk #houston #htx ♬ original sound – 𝗙𝗼𝗿𝗔𝗹𝗹𝗧𝗵𝗲𝗢𝘄𝗹𝘀|𓅓

Just a week ago, Tesla announced that it had built its first Cybercab with Starlink integration and showed it off at Gigafactory Texas. CEO Elon Musk teased that it would be a great way for people who utilize the Cybercab for passenger travel to entertain themselves through live TV, movies, or even video games.

Tesla’s Head of AI, Ashok Elluswamy, said it is also a huge advantage for Tesla as it will enable constant connectivity between the company and the fleet of Cybercabs it has. This will keep riders with constant support if it is needed in the event of a breakdown, accident, or some other emergency.

Tesla’s reason for Starlink integration on Cybercab might surprise you

It appears that this particular unit was spotted in Houston, Texas, a location where the company’s Robotaxi platform is already active. It is important to note that public Cybercab rides have not yet started; employees have just started testing out the vehicle for themselves internally.

Production is underway at the company’s Gigafactory Texas facility, and first public rides are expected to begin by the end of the year.

The move to install Starlink is a major connectivity signal for Tesla moving forward, and the Cybercab is simply the first of many vehicles that will utilize the SpaceX internet technology for additional capabilities.

Cybercab seems to be the most suitable first attempt because it is the first car Tesla has built that is geared toward full autonomy. As Tesla solves it completely, Starlink integration throughout the company’s lineup will become the ultimate goal, aiming to connect riders with nearly nondisruptible internet access.

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Tesla is building its largest Supercharger on the East Coast in New York City

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tesla store in New York City
Credit: Tesla

Tesla is building its largest East Coast Supercharger in New York City, planning to bring a 64- to 68-stall station to Queens, New York.

It will end up being tied for the largest Supercharger on the East Coast with this number of stalls. The largest on the Eastern Seaboard is located in Halifax, North Carolina, and is also 68 stalls.

The location is also set to be fitted with two pull-through stalls for EVs with trailers. We’ve seen Tesla implement these types of parking spots at newer locations as EV ownership continues to expand to those who do more than simply drive their cars.

There are plenty of Superchargers in the New York City metro, but they are mostly located in boroughs outside of Manhattan. There are five Superchargers in various neighborhoods of Manhattan, but there are limited plugs; usually only four per location. There are plenty of Destination Chargers in the Big Apple, though.

Queens, the Bronx, and Brooklyn have become popular locations for companies to build out charging infrastructure for those who live in the highly populated boroughs. There is simply much more real estate to build effective EV charging stations.

Tesla spends $18M to expand Supercharging in New York City

The Supercharger will be located in Maspeth, Queens, at 48-26 54th Road. Maspeth has I-495 running through it, so this will be a great location for Tesla owners to hop off the highway on their way to Long Island or to Manhattan to charge up before continuing their journey.

Tesla has done a really great job of expanding its charging footprint throughout the past several years, especially by building large-scale projects that cater to areas that have a high volume of traffic and are main routes of travel to major areas. Tesla is making an effort to make charging less stressful and more widely available in these concentrated regions.

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