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Uber CEO shares his doubts on Tesla’s robotaxi plans

Credit: The Logan Bartlett Show | YouTube

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The CEO of ride-sharing platform Uber has shared some of his doubts about Tesla’s ability to effectively execute robotaxi plans for its customers, pointing to the customer service side of the business as well as vehicle owner skepticism about letting strangers into their cars.

Tesla plans to launch a robotaxi platform in October, and CEO Elon Musk has talked at length over the years about hopes that such a platform could let owners’ vehicles work in a ride-sharing capacity while not in use, effectively making them money while driving themselves and ride-share passengers.

On Friday, Uber CEO Dara Khosrowshahi appeared on the Logan Bartlett Show on YouTube to discuss autonomous vehicles, during which he expressed more than a few doubts about Tesla’s robotaxi plans. For one, he says, peak ride-sharing times might coincide with the times owners want to use their own vehicles.

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“Probably the times at which you’re going to want your Tesla are probably going to be the same times that ridership is going to be at a peak,” Khosrowshahi said during the interview.

He also notes that he doesn’t think society is prepared for self-driving vehicles, even if they are getting closer to goals of becoming safer than human drivers.

“Logic would dictate that if robots are twice as good a driver or three times as good as drivers as humans, that’s good for society going forward, but I honestly don’t know if society’s ready to accept that,” Khosrowshahi said.

The Uber CEO also talked about the business changes that Tesla would need to invest in to successfully build such a platform, and he noted how different he believes the ride-sharing and vehicle-building businesses really are.

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“It’s a really, really different business you know, as well as talking about hardware, to build a $20,000 or $50,000 piece of hardware from driving over 30 million transactions every day that on a revenue basis you make $2 off of,” he added. “It’s just a very, very different business.”

Khosrowshahi also goes on to highlight the extra platforms that companies have to create to accommodate things that can go wrong in a ride-sharing vehicle, from people getting sick and wanting to pay with cash to those losing items in their ride-share, accidents, and more.

Unsurprisingly, he notes that it might be worthwhile for Tesla to partner with ride-sharing services like Uber in the future instead of developing its own, noting that he thinks the automaker could benefit from partnering with Uber.

“It’s taken us 15 years. It’s taken us tens of billions of dollars of capital, and we can provide that instantly to a partner,” Khosrowshahi added. “Hopefully, Tesla will be one of those partners.”

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You can see the full interview with Uber CEO Dara Khosrowshahi below, as hosted by the Logan Bartlett show.

To be sure, Tesla has already teased a mobile platform it has been building for its robotaxi plans, and it has been developing its Full Self-Driving (FSD) Supervised for the past several years through testing and training from drivers that have purchased the software.

Other companies like Waymo and Cruise have also been working on their own driverless ride-hailing solutions, with the former already offering paid rides in select areas for the service. Despite this, Musk has previously highlighted that he thinks these companies will have a lot more trouble scaling these services, due to their requirements of high-density mapping of specific serviceable areas.

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These, Musk says, are unlike FSD, which can theoretically be used just about anywhere due to its camera-based system and continuously-trained neural network. It’s worth noting that Tesla’s FSD still requires supervision, hence the name FSD “Supervised,” and it isn’t exactly clear just yet when the company expects to launch unsupervised versions of the software.

Although Tesla was originally supposed to hold its robotaxi unveiling event this month, Musk noted that the delayed event would allow the company to make some important changes and allow it to show off additional features.

“Requested what I think is an important design change to the front, and extra time allows us to show off a few other things,” Musk wrote in a post on X last month.

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What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips 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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Tesla and driver sued by family of woman killed in Texas crash: what we know

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Credit: CNBC

Tesla is being sued by the family of the woman who was killed in a Texas crash involving a Model 3. The driver, who is also being sued, claimed the vehicle was operating on Autopilot mode, but Tesla executives have come out challenging that claim, stating that the driver of the vehicle overrode the system.

The lawsuit was filed by 76-year-old Martha Avila’s daughter and her husband, who allege a “design defect” involving a Tesla and a failure to warn. The suit alleges negligence against Tesla and the driver, Michael Butler.

Butler “stated he was operating with an automated driving assistance system engaged at the time of the crash,” the Harris County Sheriff’s Office said in a statement. He showed no signs of intoxication and was cooperative, the Sheriff’s Office said, according to NBC News.

Just after reports of the crash and numerous headlines that immediately blamed Tesla’s Autopilot suite, both Tesla CEO Elon Musk and Head of AI Ashok Elluswamy challenged that. Musk said the crash made “no sense” given that Tesla Autopilot and Full Self-Driving do not travel at the speeds the door cameras captured the car traveling at, which Tesla says was 73 MPH.

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Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

Elluswamy also revealed that Tesla data showed Butler overrode the system by pressing the accelerator to 100%, and that the pedal was compressed fully even after the car had crashed. Tesla has not released this data to the public, likely because it is communicating with agencies like the NHTSA on an investigation.

The suit uses a Washington Post analysis of government data that “identified at least 17 fatal incidents linked to Tesla Autopilot.”

This is far from the first time an accident has been blamed on Autopilot. A fatal crash in Texas was blamed on Autopilot several years ago, but when Tesla released data to the NTSB, which was investigating the crash, Autopilot was not available where the crash occurred, and Autosteer was never enabled, meaning the car was manually controlled at the time of the accident.

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More information on the accident will be released as Tesla works with agencies to find the cause of the crash. From personal experience, it is hard to imagine Tesla Autopilot or FSD operating in this manner. It drives sometimes too cautiously in residential areas in parking lots, at least in my experience. Speeding happens, but at this rate in this type of area, it is hard to believe.

We look forward to more details being released with time.

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Cybertruck

Tesla Cybertruck is officially the safest pickup, IIHS says

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Credit: Tesla

The Insurance Institute for Highway Safety (IIHS) has awarded the 2025-2026 Tesla Cybertruck crew cab pickup its highest honor: Top Safety Pick+. This marks the Cybertruck as the only full-size pickup to achieve this distinction in recent evaluations.

The award applies specifically to vehicles built after April 2025, following structural upgrades including front underbody reinforcements and footwell modifications.

These changes enabled strong performance in updated crash tests. The Cybertruck earned “Good” ratings in the small overlap front (driver and passenger sides), updated moderate overlap front, and updated side tests—core requirements for the Top Safety Pick+ designation.

It also secured acceptable or good headlights across trims and a “Good” rating for its standard front crash prevention system in pedestrian scenarios, along with acceptable or good performance in vehicle-to-vehicle testing.

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The Cybertruck avoided every single pedestrian collision, including:

  • Daytime child crossing
  • Nightitime adult crossing
  • Night parallel adult

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In the large pickup category, competitors such as the Toyota Tundra received only a standard Top Safety Pick, while the Ford F-150 and Ram 1500 did not qualify for either award. This positions the Cybertruck as a standout in occupant protection and crash avoidance among its peers.

Credit: IIHS

Ironically, the same vehicle celebrated for superior U.S. safety performance remains banned from public roads in the United Kingdom and much of Europe. Regulators there cite the Cybertruck’s sharp external edges and highly rigid stainless-steel construction as failing pedestrian-protection standards. European and UK rules require rounded surfaces on protruding parts to minimize injury risk in collisions with vulnerable road users.

Critics also point to the truck’s substantial weight and unyielding body structure, which some argue could transfer more force to other vehicles or pedestrians rather than absorbing it.

Tesla’s engineering philosophy underpins the Cybertruck’s strong IIHS results. The vehicle features a distinctive stainless-steel exoskeleton made from ultra-hard 30X cold-rolled stainless steel. This provides exceptional structural rigidity and a robust safety cage that resists deformation in side impacts and rollovers.

Engineers designed integrated load paths to channel crash forces away from the occupant compartment while allowing controlled energy absorption in key zones. Post-April 2025 refinements to the front underbody further optimized performance in overlap crashes.

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Complementing the passive structure is Tesla’s advanced active safety suite, including the standard Collision Avoidance Assist system with automatic emergency braking. This contributed directly to the vehicle’s strong front crash prevention scores. The skateboard platform and low center of gravity also enhance stability and handling, reducing the likelihood of certain crashes.

The IIHS recognition highlights how Tesla’s combination of high-strength materials, structural innovation, and software-driven safety systems can deliver top-tier protection in rigorous testing. While global regulatory differences on design and pedestrian interaction continue to limit the Cybertruck’s availability outside North America, its U.S. safety credentials set a new benchmark for full-size pickups.

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Elon Musk

SpaceX’s newest Starmind will make earth data centers obsolete

Elon Musk confirmed Starmind as SpaceX’s AI satellite constellation name, targeting one million orbital compute nodes.

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Elon Musk confirmed that Starmind will be the official name of SpaceX’s planned AI satellite constellation, following a trademark filing by xAI that surfaced earlier this week. Starmind is what’s being described to the FCC as a constellation of up to one million AI satellites

It’s worth noting that SpaceX’s Starlink communication satellite and Starmind are built on the same orbital infrastructure concept but serve entirely different purposes. Starlink is a connectivity network, with satellites receiving and relaying data between points on Earth, and functioning as a high-speed internet backbone in space. The satellites themselves do not process or think, and move information from one place to another, the same function a fiber cable performs underground.

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Starmind, on the other hand, is something completely different, and tather than moving data, its satellites would compute data through artificial intelligence and directly in orbit using onboard processors powered by large solar arrays. Where a Starlink satellite is essentially a very fast pipe, a Starmind satellite is a server. The practical implication is that Starmind would allow AI models to run inference, process queries, and generate outputs from space, then beam results down to users anywhere on Earth within milliseconds, and without the data ever needing to travel to a terrestrial data center.

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Starship will be able to carry 30 to 50 AI1 satellites per launch, delivering the equivalent of dozens of server racks per flight, with no land acquisition, no power grid approval, and no cooling infrastructure required on the ground.

SpaceX is pursuing this new technology as terrestrial data centers are running into hard limits such as lack of physical space, community opposition, and power and water consumption at a scale that is increasingly difficult to permit. Space has unlimited solar power, natural vacuum cooling, and no zoning boards. Musk said in a June 8 video presentation that he expects space to become the lowest-cost location to deploy AI compute within two to three years. Two AI1 prototypes are scheduled to launch in early 2027, with volume production targeted for the end of that year at a new facility called Gigasat.

The real world applications Starmind enables extend well beyond powering Grok. A constellation of orbiting AI processors could run inference workloads for any paying customer, anywhere on Earth, with latency measured in milliseconds rather than the seconds associated with ground-based cloud routing across continents. Starmind, if it scales as described, would make SpaceX the landlord of AI compute the same way Starlink made it the landlord of satellite internet.

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