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Consumer Reports urges Tesla to disable Autopilot steering
Consumer Reports has publicly called on Tesla to disable the automatic steering portion of Autopilot in the wake of the fatal accident that took the like of Joshua Brown. Tesla’s Autopilot allows the vehicle to automatically steer, accelerate and brake when navigating highways with lane markings. It should be deactivated “until it can be reprogrammed to require drivers to keep their hands on the steering wheel,” says the consumer watchdog organization.
The editors of Consumer Reports say the name Autopilot is “misleading and potentially dangerous.” They want Tesla to block its automatic steering technology, overhaul it, and rename it. Laura MacCleery, vice president of consumer policy and mobilization for Consumer Reports, said in a statement that self-driving systems “could make our roads safer” eventually, “but today, we’re deeply concerned that consumers are being sold a pile of promises about unproven technology.”
That’s quite a reversal for an organization that tested a Tesla with Autopilot last October and reported that is “worked quite well,” given its limitations.
Tesla and Elon Musk are sticking to their guns. “Tesla is constantly introducing enhancements proven over millions of miles of internal testing to ensure that drivers supported by Autopilot remain safer than those operating without assistance,” Tesla said in a statement on July 14. “We will continue to develop, validate, and release those enhancements as the technology grows. While we appreciate well meaning advice from any individual or group, we make our decisions on the basis of real world data, not speculation by media.”
At issue are the length of time the car will continue to drive in semi-autonomous mode even when the system detects no hand on the wheel and how the system alerts drivers that it is time for them to resume direct control of the car. In a recent crash involving a Model X driving on a twisty road in Montana, the company says there was no hand on the wheel for more than 2 minutes. The car was traveling at 60 miles an hour, which means it went more than 2 miles with no human input. The driver says he was unaware the car was directing him to take control because his native language is Mandarin, not English.
Also, some drivers report they were unaware the system had handed back control to them, leaving them responsible for driving the car. Ambiguity is not in anyone’s best interests when it comes to driving a motor vehicle.
“Tesla Autopilot functions like the systems that airplane pilots use when conditions are clear,” Tesla said. “The driver is still responsible for, and ultimately in control of, the car. This is enforced with onboard monitoring and alerts. To further ensure drivers remain aware of what the car does and does not see, Tesla Autopilot also provides intuitive access to the information the car is using to inform its actions.” Some drivers feel that “intuitive access” is less successful that it could be. That’s an area that Tesla could address fairly easily by making warnings clearer and less ambiguous.
Consumer Reports’ suggestion seems more than a little over the top. Still, Tesla has to tread carefully here. Rumor and innuendo can have a strongly negative effect on consumer opinions. Some people may remember the maelstrom surrounding the Audi 5000 sudden unintended acceleration situation that happened some time ago. 60 Minutes got involved and people started calling it a “death car.” Audi sales plummeted and it almost went out of business.
There are hundreds of thousands of motor vehicle accidents every year on America’s roads. Few ever garner any media attention. Why is this one crash causing such a commotion? “If it bleeds, it leads,” is a popular expression it the news business and the media have been quick to make a cause célèbre out of Brown’s death.
Elon is not easily dissuaded from his chosen course. But there is ample evidence to suggest that human drivers are not as alert and tech savvy as perhaps the company assumes they are. The trick is to satisfy any safety concerns without stripping the Autopilot system of its life saving features. Ultimately, the question comes down to whether the death of one driver should be an excuse for failing to protect hundreds if not thousands of other drivers from injury or death.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
