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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 begins probing owners on FSD’s navigation errors with small but mighty change

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported.

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Tesla has started probing owners on how often its Full Self-Driving suite has Navigation errors with a small but mighty change last night.

In its latest Software Update, which is Version 2026.2.9.9 featuring Full Self-Driving (Supervised) v14.3.2, Tesla has introduced a targeted improvement to how owners will report interventions.

With the initial rollout of v14.3.2, Tesla introduced a new Intervention Menu that appears when a disengagement occurs. It allowed owners to choose from four different categories: Preference, Comfort, Critical, or Other.

Tesla has voided the Other option and replaced it with a new “Navigation” choice, which seems much more ideal given the complaints owners have had about navigation. This seemingly minor UI tweak, rolled out widely in recent days, marks another step in Tesla’s ongoing effort to refine its autonomous driving stack through precise, crowdsourced data.

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Tesla made this change in direct response to longstanding community feedback. For years, FSD users have noted that navigation errors—such as incorrect speed limits, suboptimal routes, or directing the vehicle to a building’s rear entrance instead of the main one—frequently force interventions.

Previously lumped under “Other,” these incidents made it harder for Tesla’s AI team to isolate and prioritize map-related issues in their reinforcement learning models. There was a lot of disagreement on how certain interventions should be reported:

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By adding a dedicated “Navigation” label, the company can now tag disengagements more accurately, feeding cleaner data into its neural networks. This supports faster iteration on routing algorithms, map accuracy, and intent-aware navigation.

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Community consensus around Tesla’s navigation system has been consistent and candid. While the end-to-end AI driving behavior in v14.x earns widespread acclaim for smoothness and safety, navigation remains FSD’s clearest Achilles’ heel.

Owners frequently cite outdated map data, failure to learn from repeated corrections, and routing decisions that feel less intuitive than Google Maps or Apple Maps. Common complaints include phantom speed-limit changes, inefficient local roads, and poor point-of-interest handling.

Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

Many drivers report intervening on navigation far more often than on core driving maneuvers, with some estimating it accounts for the majority of disengagements outside of edge cases.

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Long-term users note that the same mapping glitches persist across years and software versions, despite thousands of collective miles of feedback. Yet the addition of the “Navigation” option has been met with optimism. It signals Tesla’s commitment to data-driven progress and suggests navigation improvements could arrive sooner.

For a community that already logs millions of FSD miles monthly, this small change could unlock meaningful gains in reliability and user trust—potentially accelerating the path to unsupervised autonomy.

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Tesla expands Robotaxi in a way that was long anticipated

Instead, it has to do with the consumer base it offers Robotaxi to, because it has not offered it to everyone in the past.

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Credit: Grok Imagine

Tesla has expanded Robotaxi in a way that was long anticipated, and it does not have to do with a new, larger geofence in a city where it already offered its partially autonomous ride-hailing suite, or a new city altogether.

Instead, it has to do with the consumer base it offers Robotaxi to, because it has not offered it to everyone in the past.

Tesla has taken a major step forward in its autonomous ride-hailing ambitions with the official launch of the Tesla Robotaxi app for Android users. Released on the Google Play Store on April 24. Titled simply “Tesla Robotaxi,” the app is now available to download directly from Tesla.

This rollout fulfills a long-anticipated expansion that opens the service to hundreds of millions of Android smartphone users who were previously unable to access it on iOS alone.

The app delivers a streamlined, driverless ride experience powered by Tesla’s automated driving technology.

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Users sign in with a Tesla Account, view the current service area map within the app, enter a destination, and receive an estimated fare and arrival time before confirming the ride. When a Model Y from the Robotaxi fleet arrives, riders confirm the license plate, enter the vehicle, fasten their seatbelt, and tap “Start Ride” on either the app or the vehicle’s touchscreen.

During the trip, passengers have access to all the same controls that iOS users do, and can adjust climate settings, seat positions, and music while tracking progress on an in-app map. The interface also allows drop-off changes or support requests if needed. After the ride, users exit, close the doors, and submit feedback.

This Android availability directly broadens the rider base for Robotaxi in its initial service areas. Unfortunately, Android users are used to being subject to delayed launches of new features available to Tesla owners.

By removing the iOS-only barrier, Tesla instantly expands the addressable market, enabling far more people to summon and use the autonomous vehicles already operating on public roads.

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The move is a foundational requirement for scaling ride volume and gathering the real-world data needed to refine the unsupervised Full Self-Driving system that powers every trip.

For the Robotaxi program itself, the launch signals steady operational progress. It prepares the service for higher utilization rates as the fleet grows and supports the transition from limited early deployments to a more robust network.

Tesla expands Unsupervised Robotaxi service to two new cities

Tesla has indicated that users outside current service areas can sign up at the company’s website for future notifications, pointing to a deliberate, phased geographic rollout.

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Looking ahead, the company plans to incorporate Cybercab vehicles to increase fleet capacity and efficiency while continuing to expand service territories. With the Android app now live, Tesla has removed a key adoption hurdle and positioned Robotaxi for the next phase of growth in autonomous urban transportation.

The infrastructure is now in place to support significantly larger rider demand as production and deployment accelerate.

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UPDATE: SpaceX’s Falcon Heavy that launched a Tesla into space is back on a mission

SpaceX Falcon Heavy returns after 18 months away to deliver a satellite that only it could carry.

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UPDATE: 10:29 a.m. et: SpaceX is standing down from today’s Falcon Heavy launch of the ViaSat-3 F3 mission due to unfavorable weather. A new target date will be shared once confirmed.

After an 18-month absence, SpaceX’s Falcon Heavy is returning to mission on Monday morning when it’s scheduled to lift off from Launch Complex 39A at Kennedy Space Center at 10:21 a.m. EDT.

The mission is called ViaSat-3 F3, and the heavy satellite payload needs to reach geostationary orbit, sitting 22,236 miles above Earth where its speed matches the planet’s rotation. Getting a satellite that heavy to that altitude demands more thrust than a single-core Falcon 9 can deliver.

This marks the Falcon Heavy’s 12th flight overall since its debut in February 2018, and its first since NASA’s Europa Clipper mission in October 2024.

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Arguably, the most exciting element for spectators will be watching the booster recoveries in action when the two side boosters, B1072 and B1075, will attempt simultaneous landings at Landing Zone 2 and the newer Landing Zone 40 at Cape Canaveral Space Force Station, while the center core will be expended over the ocean.

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Following satellite deployment, expected roughly five hours after launch, ViaSat-3 F3 will spend several months traveling to its final orbital slot before undergoing in-orbit testing, with service entry expected by late summer 2026

As Teslarati reported, NASA awarded SpaceX a $175.7 million contract on April 16, 2026, to launch the ESA Rosalind Franklin Mars rover aboard a Falcon Heavy no earlier than late 2028, which would mark the first time SpaceX has ever sent a payload to Mars. That contract came on top of an already deep pipeline that includes the Roman Space Telescope, the Dragonfly Saturn mission, and multiple national security payloads.

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SpaceX executed 165 missions in 2025 and now accounts for approximately 85% of all global orbital launches. With Starlink surpassing 10 million subscribers and an IPO targeting a $1.75 trillion valuation still ahead, Monday’s launch is one more data point in a company that has quietly become the backbone of both commercial and government space access worldwide.

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